default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDIEEE Transactions on Pattern Analysis and Machine Intelligence, Volume 45
Volume 45, Number 1, January 2023
- Xiaojun Chang, Pengzhen Ren, Pengfei Xu, Zhihui Li, Xiaojiang Chen, Alex Hauptmann:
A Comprehensive Survey of Scene Graphs: Generation and Application. 1-26 - Raja Giryes
:
A Function Space Analysis of Finite Neural Networks With Insights From Sampling Theory. 27-37 - Risheng Liu, Pan Mu, Xiaoming Yuan, Shangzhi Zeng, Jin Zhang:
A General Descent Aggregation Framework for Gradient-Based Bi-Level Optimization. 38-57 - Xinyi Wu, Zhenyao Wu, Lili Ju, Song Wang:
A One-Stage Domain Adaptation Network With Image Alignment for Unsupervised Nighttime Semantic Segmentation. 58-72 - Qi Cai, Lilian Zhang, Yuanxin Wu, Wenxian Yu, Dewen Hu:
A Pose-Only Solution to Visual Reconstruction and Navigation. 73-86 - Kai Han, Yunhe Wang, Hanting Chen, Xinghao Chen, Jianyuan Guo, Zhenhua Liu, Yehui Tang, An Xiao, Chunjing Xu, Yixing Xu, Zhaohui Yang, Yiman Zhang, Dacheng Tao:
A Survey on Vision Transformer. 87-110 - Tayyebeh Jahani-Nezhad, Mohammad Ali Maddah-Ali:
Berrut Approximated Coded Computing: Straggler Resistance Beyond Polynomial Computing. 111-122 - Dengxin Dai, Arun Balajee Vasudevan, Jiri Matas, Luc Van Gool:
Binaural SoundNet: Predicting Semantics, Depth and Motion With Binaural Sounds. 123-136 - Henry M. Clever, Patrick L. Grady, Greg Turk, Charles C. Kemp:
BodyPressure - Inferring Body Pose and Contact Pressure From a Depth Image. 137-153 - Ming-Kun Xie, Sheng-Jun Huang:
CCMN: A General Framework for Learning With Class-Conditional Multi-Label Noise. 154-166 - Shenfei Pei, Huimin Chen, Feiping Nie, Rong Wang, Xuelong Li:
Centerless Clustering. 167-181 - Kien Nguyen, Clinton Fookes, Sridha Sridharan, Arun Ross:
Complex-Valued Iris Recognition Network. 182-196 - Tao Zhou, Huazhu Fu, Chen Gong, Ling Shao, Fatih Porikli, Haibin Ling, Jianbing Shen:
Consistency and Diversity Induced Human Motion Segmentation. 197-210 - Hongyuan Yu, Houwen Peng, Yan Huang, Jianlong Fu, Hao Du, Liang Wang, Haibin Ling:
Cyclic Differentiable Architecture Search. 211-228 - Shuqiang Jiang, Yaohui Zhu, Chenlong Liu, Xinhang Song, Xiangyang Li, Weiqing Min:
Dataset Bias in Few-Shot Image Recognition. 229-246 - Zhongyan Zhang, Lei Wang, Yang Wang, Luping Zhou, Jianjia Zhang, Fang Chen:
Dataset-Driven Unsupervised Object Discovery for Region-Based Instance Image Retrieval. 247-263 - Alireza Sepas-Moghaddam, Ali Etemad:
Deep Gait Recognition: A Survey. 264-284 - Peng Xu, Timothy M. Hospedales, Qiyue Yin, Yi-Zhe Song, Tao Xiang, Liang Wang:
Deep Learning for Free-Hand Sketch: A Survey. 285-312 - Ali Akbari, Muhammad Awais, Soroush Fatemifar, Josef Kittler:
Deep Order-Preserving Learning With Adaptive Optimal Transport Distance. 313-328 - André M. Carrington, Douglas G. Manuel, Paul W. Fieguth, Tim Ramsay, Venet Osmani, Bernhard Wernly, Carol Bennett, Steven Hawken, Olivia Magwood, Yusuf Sheikh, Matthew McInnes, Andreas Holzinger:
Deep ROC Analysis and AUC as Balanced Average Accuracy, for Improved Classifier Selection, Audit and Explanation. 329-341 - Vincent Le Guen, Nicolas Thome:
Deep Time Series Forecasting With Shape and Temporal Criteria. 342-355 - Chenyang Lei, Yazhou Xing, Hao Ouyang, Qifeng Chen:
Deep Video Prior for Video Consistency and Propagation. 356-371 - Zhenyu Guan, Junpeng Jing, Xin Deng, Mai Xu, Lai Jiang, Zhou Zhang, Yipeng Li:
DeepMIH: Deep Invertible Network for Multiple Image Hiding. 372-390 - Eric Paquet, Herna L. Viktor, Kamel Madi, Junzheng Wu:
Deformable Protein Shape Classification Based on Deep Learning, and the Fractional Fokker-Planck and Kähler-Dirac Equations. 391-407 - Xin Wang, Hong Chen, Yuwei Zhou, Jianxin Ma, Wenwu Zhu:
Disentangled Representation Learning for Recommendation. 408-424 - Yingqian Wang, Longguang Wang, Gaochang Wu, Jungang Yang, Wei An, Jingyi Yu, Yulan Guo:
Disentangling Light Fields for Super-Resolution and Disparity Estimation. 425-443 - Yu Yao, Xizi Wang, Mingze Xu, Zelin Pu, Yuchen Wang, Ella M. Atkins, David J. Crandall:
DoTA: Unsupervised Detection of Traffic Anomaly in Driving Videos. 444-459 - Haojie Zhao, Bin Yan, Dong Wang, Xuesheng Qian, Xiaoyun Yang, Huchuan Lu:
Effective Local and Global Search for Fast Long-Term Tracking. 460-474 - Hang Yu, Songwei Wu, Justin Dauwels:
Efficient Variational Bayes Learning of Graphical Models With Smooth Structural Changes. 475-488 - Haoxin Li, Wei-Shi Zheng, Jianguo Zhang, Haifeng Hu, Jiwen Lu, Jian-Huang Lai:
Egocentric Action Recognition by Automatic Relation Modeling. 489-507 - Denis Coquenet, Clément Chatelain, Thierry Paquet:
End-to-End Handwritten Paragraph Text Recognition Using a Vertical Attention Network. 508-524 - Xudong Shen, Yongkang Wong, Mohan S. Kankanhalli:
Fair Representation: Guaranteeing Approximate Multiple Group Fairness for Unknown Tasks. 525-538 - Matteo Stefanini, Marcella Cornia, Lorenzo Baraldi, Silvia Cascianelli, Giuseppe Fiameni, Rita Cucchiara:
From Show to Tell: A Survey on Deep Learning-Based Image Captioning. 539-559 - Yuval Nirkin, Yosi Keller, Tal Hassner:
FSGANv2: Improved Subject Agnostic Face Swapping and Reenactment. 560-575 - Shiyu Hu, Xin Zhao, Lianghua Huang, Kaiqi Huang:
Global Instance Tracking: Locating Target More Like Humans. 576-592 - Takaki Yamada, Miquel Massot-Campos, Adam Prügel-Bennett, Oscar Pizarro, Stefan B. Williams, Blair Thornton:
Guiding Labelling Effort for Efficient Learning With Georeferenced Images. 593-607 - Evgeny Levinkov, Amirhossein Kardoost, Bjoern Andres, Margret Keuper:
Higher-Order Multicuts for Geometric Model Fitting and Motion Segmentation. 608-622 - Jae Shin Yoon, Zhixuan Yu, Jaesik Park, Hyun Soo Park:
HUMBI: A Large Multiview Dataset of Human Body Expressions and Benchmark Challenge. 623-640 - Kunpeng Li, Yulun Zhang, Kai Li, Yuanyuan Li, Yun Fu:
Image-Text Embedding Learning via Visual and Textual Semantic Reasoning. 641-656 - Giorgos Bouritsas, Fabrizio Frasca, Stefanos Zafeiriou, Michael M. Bronstein:
Improving Graph Neural Network Expressivity via Subgraph Isomorphism Counting. 657-668 - Zhi Tian, Bowen Zhang, Hao Chen, Chunhua Shen:
Instance and Panoptic Segmentation Using Conditional Convolutions. 669-680 - Zhenguang Liu, Shuang Wu, Shuyuan Jin, Shouling Ji, Qi Liu, Shijian Lu, Li Cheng:
Investigating Pose Representations and Motion Contexts Modeling for 3D Motion Prediction. 681-697 - Axel Barroso Laguna, Krystian Mikolajczyk:
Key.Net: Keypoint Detection by Handcrafted and Learned CNN Filters Revisited. 698-711 - Tehrim Yoon, Sumin Shin, Eunho Yang:
Learning Polymorphic Neural ODEs With Time-Evolving Mixture. 712-721 - Zhen Peng, Minnan Luo, Wenbing Huang, Jundong Li, Qinghua Zheng, Fuchun Sun, Junzhou Huang:
Learning Representations by Graphical Mutual Information Estimation and Maximization. 722-737 - Ibrahim Abdelaziz, Maxwell Crouse, Bassem Makni, Vernon Austel, Cristina Cornelio, Shajith Ikbal, Pavan Kapanipathi, Ndivhuwo Makondo, Kavitha Srinivas, Michael Witbrock, Achille Fokoue:
Learning to Guide a Saturation-Based Theorem Prover. 738-751 - Qi Wang, Xiaocheng Lu, Cong Zhang, Yuan Yuan, Xuelong Li:
LSV-LP: Large-Scale Video-Based License Plate Detection and Recognition. 752-767 - Hao Tang, Ling Shao, Philip H. S. Torr, Nicu Sebe:
Local and Global GANs With Semantic-Aware Upsampling for Image Generation. 768-784 - Shasha Guo, Tobi Delbruck:
Low Cost and Latency Event Camera Background Activity Denoising. 785-795 - John Lambert, Zhuang Liu, Ozan Sener, James Hays, Vladlen Koltun:
MSeg: A Composite Dataset for Multi-Domain Semantic Segmentation. 796-810 - Taojiannan Yang, Sijie Zhu, Matías Mendieta, Pu Wang, Ravikumar Balakrishnan, Minwoo Lee, Tao Han, Mubarak Shah, Chen Chen:
MutualNet: Adaptive ConvNet via Mutual Learning From Different Model Configurations. 811-827 - Asif Salim, S. S. Shiju, S. Sumitra:
Neighborhood Preserving Kernels for Attributed Graphs. 828-840 - Cuong Nguyen, Thanh-Toan Do, Gustavo Carneiro:
PAC-Bayes Meta-Learning With Implicit Task-Specific Posteriors. 841-851 - Xin Wen, Peng Xiang, Zhizhong Han, Yan-Pei Cao, Pengfei Wan, Wen Zheng, Yu-Shen Liu:
PMP-Net++: Point Cloud Completion by Transformer-Enhanced Multi-Step Point Moving Paths. 852-867 - Chinthaka Dinesh, Gene Cheung, Ivan V. Bajic:
Point Cloud Sampling via Graph Balancing and Gershgorin Disc Alignment. 868-886 - Jiang-Jiang Liu, Qibin Hou, Zhi-Ang Liu, Ming-Ming Cheng:
PoolNet+: Exploring the Potential of Pooling for Salient Object Detection. 887-904 - Ran Yi, Yong-Jin Liu, Yu-Kun Lai, Paul L. Rosin:
Quality Metric Guided Portrait Line Drawing Generation From Unpaired Training Data. 905-918 - Minghui Liao, Zhisheng Zou, Zhaoyi Wan, Cong Yao, Xiang Bai:
Real-Time Scene Text Detection With Differentiable Binarization and Adaptive Scale Fusion. 919-931 - Xiaoming Deng, Dexin Zuo, Yinda Zhang, Zhaopeng Cui, Jian Cheng, Ping Tan, Liang Chang, Marc Pollefeys, Sean Fanello, Hongan Wang:
Recurrent 3D Hand Pose Estimation Using Cascaded Pose-Guided 3D Alignments. 932-945 - Haoran Zhou, Honghua Chen, Yingkui Zhang, Mingqiang Wei, Haoran Xie, Jun Wang, Tong Lu, Jing Qin, Xiao-Ping Zhang:
Refine-Net: Normal Refinement Neural Network for Noisy Point Clouds. 946-963 - Calvin Murdock, George Cazenavette, Simon Lucey:
Reframing Neural Networks: Deep Structure in Overcomplete Representations. 964-979 - Hao Peng, Ruitong Zhang, Shaoning Li, Yuwei Cao, Shirui Pan, Philip S. Yu:
Reinforced, Incremental and Cross-Lingual Event Detection From Social Messages. 980-998 - Hongteng Xu, Jiachang Liu, Dixin Luo, Lawrence Carin:
Representing Graphs via Gromov-Wasserstein Factorization. 999-1016 - Shilong Bao, Qianqian Xu, Zhiyong Yang, Xiaochun Cao, Qingming Huang:
Rethinking Collaborative Metric Learning: Toward an Efficient Alternative Without Negative Sampling. 1017-1035 - Gurkirt Singh, Stephen Akrigg, Manuele Di Maio, Valentina Fontana, Reza Javanmard Alitappeh, Salman Khan, Suman Saha, Kossar Jeddi Saravi, Farzad Yousefi, Jacob Culley, Tom Nicholson, Jordan Omokeowa, Stanislao Grazioso, Andrew Bradley, Giuseppe Di Gironimo, Fabio Cuzzolin:
ROAD: The Road Event Awareness Dataset for Autonomous Driving. 1036-1054 - Mouxing Yang, Yunfan Li, Peng Hu, Jinfeng Bai, Jiancheng Lv, Xi Peng:
Robust Multi-View Clustering With Incomplete Information. 1055-1069 - Dafeng Wang, Hongbo Liu, Naiyao Wang, Yiyang Wang, Hua Wang, Seán F. McLoone:
SEEM: A Sequence Entropy Energy-Based Model for Pedestrian Trajectory All-Then-One Prediction. 1070-1086 - Zhen Fang, Jie Lu, Feng Liu, Guangquan Zhang:
Semi-Supervised Heterogeneous Domain Adaptation: Theory and Algorithms. 1087-1105 - Shuangjun Liu, Xiaofei Huang, Nihang Fu, Cheng Li, Zhongnan Su, Sarah Ostadabbas:
Simultaneously-Collected Multimodal Lying Pose Dataset: Enabling In-Bed Human Pose Monitoring. 1106-1118 - Martin Genzel, Jan MacDonald, Maximilian März:
Solving Inverse Problems With Deep Neural Networks - Robustness Included? 1119-1134 - Yujie Wang, Chenggang Yan, Yutong Feng, Shaoyi Du, Qionghai Dai, Yue Gao:
STORM: Structure-Based Overlap Matching for Partial Point Cloud Registration. 1135-1149 - Yuan Zhao, Josue Nassar, Ian D. Jordan, Mónica F. Bugallo, Il Memming Park:
Streaming Variational Monte Carlo. 1150-1161 - Yu Wu, Lu Jiang, Yi Yang:
Switchable Novel Object Captioner. 1162-1173 - Zhaokang Chen, Bertram E. Shi:
Towards High Performance Low Complexity Calibration in Appearance Based Gaze Estimation. 1174-1188 - Xinyi Xu, Zhengyang Wang, Cheng Deng, Hao Yuan, Shuiwang Ji:
Towards Improved and Interpretable Deep Metric Learning via Attentive Grouping. 1189-1200 - Pattaramanee Arsomngern, Cheng Long, Supasorn Suwajanakorn, Sarana Nutanong:
Towards Pointsets Representation Learning via Self-Supervised Learning and Set Augmentation. 1201-1216 - Yunus Can Bilge, Ramazan Gokberk Cinbis, Nazli Ikizler-Cinbis:
Towards Zero-Shot Sign Language Recognition. 1217-1232 - Lin Zhu, Siwei Dong, Jianing Li, Tiejun Huang, Yonghong Tian:
Ultra-High Temporal Resolution Visual Reconstruction From a Fovea-Like Spike Camera via Spiking Neuron Model. 1233-1249 - Wenjing Wang, Xinhao Wang, Wenhan Yang, Jiaying Liu:
Unsupervised Face Detection in the Dark. 1250-1266 - Zhen Cui, Ling Zhou, Chaoqun Wang, Chunyan Xu, Jian Yang:
Visual Micro-Pattern Propagation. 1267-1286 - Kaihao Zhang, Dongxu Li, Wenhan Luo, Wenqi Ren, Wei Liu:
Enhanced Spatio-Temporal Interaction Learning for Video Deraining: Faster and Better. 1287-1293 - Jinwang Wang, Lingxuan Meng, Weijia Li, Wen Yang, Lei Yu, Gui-Song Xia:
Learning to Extract Building Footprints From Off-Nadir Aerial Images. 1294-1301 - Chris Xing Tian, Haoliang Li, Xiaofei Xie, Yang Liu, Shiqi Wang:
Neuron Coverage-Guided Domain Generalization. 1302-1311 - Shi Qiu, Saeed Anwar, Nick Barnes:
PnP-3D: A Plug-and-Play for 3D Point Clouds. 1312-1319 - Kevis-Kokitsi Maninis, Stefan Popov, Matthias Nießner, Vittorio Ferrari:
Vid2CAD: CAD Model Alignment Using Multi-View Constraints From Videos. 1320-1327 - Qibin Hou, Zihang Jiang, Li Yuan, Ming-Ming Cheng, Shuicheng Yan, Jiashi Feng:
Vision Permutator: A Permutable MLP-Like Architecture for Visual Recognition. 1328-1334
Volume 45, Number 2, February 2023
- Hamid Laga, Marcel Padilla, Ian H. Jermyn, Sebastian Kurtek, Mohammed Bennamoun, Anuj Srivastava:
4D Atlas: Statistical Analysis of the Spatiotemporal Variability in Longitudinal 3D Shape Data. 1335-1352 - Iris A. M. Huijben, Wouter Kool, Max B. Paulus, Ruud J. G. van Sloun:
A Review of the Gumbel-max Trick and its Extensions for Discrete Stochasticity in Machine Learning. 1353-1371 - Zhuotao Tian, Pengguang Chen, Xin Lai, Li Jiang, Shu Liu, Hengshuang Zhao, Bei Yu, Ming-Chang Yang, Jiaya Jia:
Adaptive Perspective Distillation for Semantic Segmentation. 1372-1387 - Bin Chen, Yan Feng, Tao Dai, Jiawang Bai, Yong Jiang, Shu-Tao Xia, Xuan Wang:
Adversarial Examples Generation for Deep Product Quantization Networks on Image Retrieval. 1388-1404 - Shangqi Gao, Xiahai Zhuang:
Bayesian Image Super-Resolution With Deep Modeling of Image Statistics. 1405-1423 - Renjie Wan, Boxin Shi, Haoliang Li, Yuchen Hong, Ling-Yu Duan, Alex C. Kot:
Benchmarking Single-Image Reflection Removal Algorithms. 1424-1441 - Xiangyu Zhu, Chang Yu, Di Huang, Zhen Lei, Hao Wang, Stan Z. Li:
Beyond 3DMM: Learning to Capture High-Fidelity 3D Face Shape. 1442-1457 - Yongqi Zhang, Quanming Yao, James T. Kwok:
Bilinear Scoring Function Search for Knowledge Graph Learning. 1458-1473 - Yi-Fan Song, Zhang Zhang, Caifeng Shan, Liang Wang:
Constructing Stronger and Faster Baselines for Skeleton-Based Action Recognition. 1474-1488 - Yehao Li, Ting Yao, Yingwei Pan, Tao Mei:
Contextual Transformer Networks for Visual Recognition. 1489-1500 - Azim Ahmadzadeh, Dustin J. Kempton, Petrus C. Martens, Rafal A. Angryk:
Contingency Space: A Semimetric Space for Classification Evaluation. 1501-1513 - Guo Pu, Yifang Men, Yiming Mao, Yuning Jiang, Wei-Ying Ma, Zhouhui Lian:
Controllable Image Synthesis With Attribute-Decomposed GAN. 1514-1532 - Maximilian Jaritz, Tuan-Hung Vu, Raoul de Charette, Émilie Wirbel, Patrick Pérez:
Cross-Modal Learning for Domain Adaptation in 3D Semantic Segmentation. 1533-1544 - Zhi Gao, Yuwei Wu, Mehrtash Harandi, Yunde Jia:
Curvature-Adaptive Meta-Learning for Fast Adaptation to Manifold Data. 1545-1562 - Micah Goldblum, Dimitris Tsipras, Chulin Xie, Xinyun Chen, Avi Schwarzschild, Dawn Song, Aleksander Madry, Bo Li, Tom Goldstein:
Dataset Security for Machine Learning: Data Poisoning, Backdoor Attacks, and Defenses. 1563-1580 - Zhaoqi Su, Tao Yu, Yangang Wang, Yebin Liu:
DeepCloth: Neural Garment Representation for Shape and Style Editing. 1581-1593 - Thomas Tanay, Aivar Sootla, Matteo Maggioni, Puneet K. Dokania, Philip H. S. Torr, Ales Leonardis, Gregory G. Slabaugh:
Diagnosing and Preventing Instabilities in Recurrent Video Processing. 1594-1605 - Anees Kazi, Luca Cosmo, Seyed-Ahmad Ahmadi, Nassir Navab, Michael M. Bronstein:
Differentiable Graph Module (DGM) for Graph Convolutional Networks. 1606-1617 - Kazuhiro Fukui, Naoya Sogi, Takumi Kobayashi, Jing-Hao Xue, Atsuto Maki:
Discriminant Feature Extraction by Generalized Difference Subspace. 1618-1635 - Yu Cheng, Bo Wang, Robby T. Tan:
Dual Networks Based 3D Multi-Person Pose Estimation From Monocular Video. 1636-1651 - Jie Wang, Zhanqiu Zhang, Zhihao Shi, Jianyu Cai, Shuiwang Ji, Feng Wu:
Duality-Induced Regularizer for Semantic Matching Knowledge Graph Embeddings. 1652-1667 - Raisa B. Rasul, C. Thomas Avedisian, Yuhao Xu, Michael C. Hicks, Anthony P. Reeves:
Dynamic Differential Image Circle Diameter Measurement Precision Assessment: Application to Burning Droplets. 1668-1681 - Shaojing Fan, Zhiqi Shen, Ming Jiang, Bryan L. Koenig, Mohan S. Kankanhalli, Qi Zhao:
Emotional Attention: From Eye Tracking to Computational Modeling. 1682-1699 - Stephan R. Richter, Hassan Abu Alhaija, Vladlen Koltun:
Enhancing Photorealism Enhancement. 1700-1715 - Andrew K. Saydjari, Douglas P. Finkbeiner:
Equivariant Wavelets: Fast Rotation and Translation Invariant Wavelet Scattering Transforms. 1716-1731 - Junsuk Choe, Seong Joon Oh, Sanghyuk Chun, Seungho Lee, Zeynep Akata, Hyunjung Shim:
Evaluation for Weakly Supervised Object Localization: Protocol, Metrics, and Datasets. 1732-1748 - Yanwei Fu, Chen Liu, Donghao Li, Zuyuan Zhong, Xinwei Sun, Jinshan Zeng, Yuan Yao:
Exploring Structural Sparsity of Deep Networks Via Inverse Scale Spaces. 1749-1765 - Zhangjie Cao, Kaichao You, Ziyang Zhang, Jianmin Wang, Mingsheng Long:
From Big to Small: Adaptive Learning to Partial-Set Domains. 1766-1780 - Kyoungoh Lee, Woojae Kim, Sanghoon Lee:
From Human Pose Similarity Metric to 3D Human Pose Estimator: Temporal Propagating LSTM Networks. 1781-1797 - Jieting Wang, Yuhua Qian, Feijiang Li, Jiye Liang, Qingfu Zhang:
Generalization Performance of Pure Accuracy and its Application in Selective Ensemble Learning. 1798-1816 - Han-Jia Ye, Su Lu, De-Chuan Zhan:
Generalized Knowledge Distillation via Relationship Matching. 1817-1834 - Yubo Zhang, Shuyi Ji, Changqing Zou, Xibin Zhao, Shihui Ying, Yue Gao:
Graph Learning on Millions of Data in Seconds: Label Propagation Acceleration on Graph Using Data Distribution. 1835-1847 - Xuhui Fan, Yaqiong Li, Ling Chen, Bin Li, Scott A. Sisson:
Hawkes Processes With Stochastic Exogenous Effects for Continuous-Time Interaction Modelling. 1848-1861 - Mohammadreza Ebrahimi, Yidong Chai, Hao Helen Zhang, Hsinchun Chen:
Heterogeneous Domain Adaptation With Adversarial Neural Representation Learning: Experiments on E-Commerce and Cybersecurity. 1862-1875 - Qin Lu, Georgios Vasileios Karanikolas, Georgios B. Giannakis:
Incremental Ensemble Gaussian Processes. 1876-1893 - Fabio Sigrist:
Latent Gaussian Model Boosting. 1894-1905 - Jen-Tzung Chien, Yi-Hsiang Chen:
Learning Continuous-Time Dynamics With Attention. 1906-1918 - Ziwei Wang, Han Xiao, Yueqi Duan, Jie Zhou, Jiwen Lu:
Learning Deep Binary Descriptors via Bitwise Interaction Mining. 1919-1933 - Syed Waqas Zamir, Aditya Arora, Salman Khan, Munawar Hayat, Fahad Shahbaz Khan, Ming-Hsuan Yang, Ling Shao:
Learning Enriched Features for Fast Image Restoration and Enhancement. 1934-1948 - Dong Qian, William K. Cheung:
Learning Hierarchical Variational Autoencoders With Mutual Information Maximization for Autoregressive Sequence Modeling. 1949-1962 - Chuanchen Luo, Chunfeng Song, Zhaoxiang Zhang:
Learning to Adapt Across Dual Discrepancy for Cross-Domain Person Re-Identification. 1963-1980 - Xuelong Li, Hongyuan Zhang, Rui Zhang:
Matrix Completion via Non-Convex Relaxation and Adaptive Correlation Learning. 1981-1991 - Hou-Ning Hu, Yung-Hsu Yang, Tobias Fischer, Trevor Darrell, Fisher Yu, Min Sun:
Monocular Quasi-Dense 3D Object Tracking. 1992-2008 - Yu-Hui Wen, Lin Gao, Hongbo Fu, Fang-Lue Zhang, Shihong Xia, Yong-Jin Liu:
Motif-GCNs With Local and Non-Local Temporal Blocks for Skeleton-Based Action Recognition. 2009-2023 - Xi Zhang, Xiaolin Wu:
Multi-Modality Deep Restoration of Extremely Compressed Face Videos. 2024-2037 - Jiahui Huang, Tolga Birdal, Zan Gojcic, Leonidas J. Guibas, Shi-Min Hu:
Multiway Non-Rigid Point Cloud Registration via Learned Functional Map Synchronization. 2038-2053 - Fuyuan Xiao, Witold Pedrycz:
Negation of the Quantum Mass Function for Multisource Quantum Information Fusion With its Application to Pattern Classification. 2054-2070 - Ziyu Wan, Bo Zhang, Dongdong Chen, Pan Zhang, Dong Chen, Fang Wen, Jing Liao:
Old Photo Restoration via Deep Latent Space Translation. 2071-2087 - Jiuniu Wang, Wenjia Xu, Qingzhong Wang, Antoni B. Chan:
On Distinctive Image Captioning via Comparing and Reweighting. 2088-2103 - Wei Wang, Fei Wen, Zeyu Yan, Peilin Liu:
Optimal Transport for Unsupervised Denoising Learning. 2104-2118 - Peisong Wang, Weihan Chen, Xiangyu He, Qiang Chen, Qingshan Liu, Jian Cheng:
Optimization-Based Post-Training Quantization With Bit-Split and Stitching. 2119-2135 - Beatriz Moya, Alberto Badías, David González, Francisco Chinesta, Elías Cueto:
Physics Perception in Sloshing Scenes With Guaranteed Thermodynamic Consistency. 2136-2150 - Youwei Lyu, Zhaopeng Cui, Si Li, Marc Pollefeys, Boxin Shi:
Physics-Guided Reflection Separation From a Pair of Unpolarized and Polarized Images. 2151-2165 - Chao Wen, Yinda Zhang, Chenjie Cao, Zhuwen Li, Xiangyang Xue, Yanwei Fu:
Pixel2Mesh++: 3D Mesh Generation and Refinement From Multi-View Images. 2166-2180 - Hehe Fan, Yi Yang, Mohan S. Kankanhalli:
Point Spatio-Temporal Transformer Networks for Point Cloud Video Modeling. 2181-2192 - Yongming Rao, Jiwen Lu, Jie Zhou:
PointGLR: Unsupervised Structural Representation Learning of 3D Point Clouds. 2193-2207 - Yunbo Wang, Haixu Wu, Jianjin Zhang, Zhifeng Gao, Jianmin Wang, Philip S. Yu, Mingsheng Long:
PredRNN: A Recurrent Neural Network for Spatiotemporal Predictive Learning. 2208-2225 - Yucheng Shi, Yahong Han, Qinghua Hu, Yi Yang, Qi Tian:
Query-Efficient Black-Box Adversarial Attack With Customized Iteration and Sampling. 2226-2245 - Shengxi Li, Zeyang Yu, Min Xiang, Danilo P. Mandic:
Reciprocal GAN Through Characteristic Functions (RCF-GAN). 2246-2263 - Ziheng Cheng, Bo Chen, Ruiying Lu, Zhengjue Wang, Hao Zhang, Ziyi Meng, Xin Yuan:
Recurrent Neural Networks for Snapshot Compressive Imaging. 2264-2281 - Carlos Llosa-Vite, Ranjan Maitra:
Reduced-Rank Tensor-on-Tensor Regression and Tensor-Variate Analysis of Variance. 2282-2296 - Xiang Wang, Yingxin Wu, An Zhang, Fuli Feng, Xiangnan He, Tat-Seng Chua:
Reinforced Causal Explainer for Graph Neural Networks. 2297-2309 - Patrick M. Jensen, Niels Jeppesen, Anders B. Dahl, Vedrana Andersen Dahl:
Review of Serial and Parallel Min-Cut/Max-Flow Algorithms for Computer Vision. 2310-2329 - Hiroki Kato, Hiroyuki Hanada, Ichiro Takeuchi:
Safe RuleFit: Learning Optimal Sparse Rule Model by Meta Safe Screening. 2330-2343 - Deng-Ping Fan, Jing Zhang, Gang Xu, Ming-Ming Cheng, Ling Shao:
Salient Objects in Clutter. 2344-2366 - Yukang Chen, Peizhen Zhang, Tao Kong, Yanwei Li, Xiangyu Zhang, Lu Qi, Jian Sun, Jiaya Jia:
Scale-Aware Automatic Augmentations for Object Detection With Dynamic Training. 2367-2383 - Xue Yang, Junchi Yan, Wenlong Liao, Xiaokang Yang, Jin Tang, Tao He:
SCRDet++: Detecting Small, Cluttered and Rotated Objects via Instance-Level Feature Denoising and Rotation Loss Smoothing. 2384-2399 - Thomas Verelst, Tinne Tuytelaars:
SegBlocks: Block-Based Dynamic Resolution Networks for Real-Time Segmentation. 2400-2411 - Yaochen Xie, Zhao Xu, Jingtun Zhang, Zhengyang Wang, Shuiwang Ji:
Self-Supervised Learning of Graph Neural Networks: A Unified Review. 2412-2429 - Weitao Wan, Cheng Yu, Jiansheng Chen, Tong Wu, Yuanyi Zhong, Ming-Hsuan Yang:
Shaping Deep Feature Space Towards Gaussian Mixture for Visual Classification. 2430-2444 - Fabio Bellavia:
SIFT Matching by Context Exposed. 2445-2457 - Weiyang Liu, Yandong Wen, Bhiksha Raj, Rita Singh, Adrian Weller:
SphereFace Revived: Unifying Hyperspherical Face Recognition. 2458-2474 - Di Lin, Dingguo Shen, Yuanfeng Ji, Siting Shen, Mingrui Xie, Wei Feng, Hui Huang:
TAGNet: Learning Configurable Context Pathways for Semantic Segmentation. 2475-2491 - Washington L. S. Ramos, Michel Melo Silva, Edson R. Araujo, Victor Moura, Keller Oliveira, Leandro Soriano Marcolino, Erickson R. Nascimento:
Text-Driven Video Acceleration: A Weakly-Supervised Reinforcement Learning Method. 2492-2504 - Ismail Elezi, Jenny Seidenschwarz, Laurin Wagner, Sebastiano Vascon, Alessandro Torcinovich, Marcello Pelillo, Laura Leal-Taixé:
The Group Loss++: A Deeper Look Into Group Loss for Deep Metric Learning. 2505-2518 - R. Wes Baldwin, Ruixu Liu, Mohammed Almatrafi, Vijayan K. Asari, Keigo Hirakawa:
Time-Ordered Recent Event (TORE) Volumes for Event Cameras. 2519-2532 - Rui Dai, Srijan Das, Saurav Sharma, Luca Minciullo, Lorenzo Garattoni, François Brémond, Gianpiero Francesca:
Toyota Smarthome Untrimmed: Real-World Untrimmed Videos for Activity Detection. 2533-2550 - Zongbo Han, Changqing Zhang, Huazhu Fu, Joey Tianyi Zhou:
Trusted Multi-View Classification With Dynamic Evidential Fusion. 2551-2566 - Guanglei Yang, Enrico Fini, Dan Xu, Paolo Rota, Mingli Ding, Moin Nabi, Xavier Alameda-Pineda, Elisa Ricci:
Uncertainty-Aware Contrastive Distillation for Incremental Semantic Segmentation. 2567-2581 - Bilian Chen, Jiewen Guan, Zhening Li:
Unsupervised Feature Selection via Graph Regularized Nonnegative CP Decomposition. 2582-2594 - Hongje Seong, Junhyuk Hyun, Euntai Kim:
Video Object Segmentation Using Kernelized Memory Network With Multiple Kernels. 2595-2612 - Yifu Zhang, Chunyu Wang, Xinggang Wang, Wenyu Liu, Wenjun Zeng:
VoxelTrack: Multi-Person 3D Human Pose Estimation and Tracking in the Wild. 2613-2626 - Zheng Zhu, Guan Huang, Jiankang Deng, Yun Ye, Junjie Huang, Xinze Chen, Jiagang Zhu, Tian Yang, Dalong Du, Jiwen Lu, Jie Zhou:
WebFace260M: A Benchmark for Million-Scale Deep Face Recognition. 2627-2644 - Sungyoon Lee, Hoki Kim, Jaewook Lee:
GradDiv: Adversarial Robustness of Randomized Neural Networks via Gradient Diversity Regularization. 2645-2651 - Yalan Qin, Xinpeng Zhang, Liquan Shen, Guorui Feng:
Maximum Block Energy Guided Robust Subspace Clustering. 2652-2659 - Yang-Tian Sun, Hao-Zhi Huang, Xuan Wang, Yu-Kun Lai, Wei Liu, Lin Gao:
Robust Pose Transfer With Dynamic Details Using Neural Video Rendering. 2660-2666
Volume 45, Number 3, March 2023
- Yu Wang, Jingyang Lin, Qi Cai, Yingwei Pan, Ting Yao, Hongyang Chao, Tao Mei:
A Low Rank Promoting Prior for Unsupervised Contrastive Learning. 2667-2681 - Yujiao Shi, Xin Yu, Liu Liu, Dylan Campbell, Piotr Koniusz, Hongdong Li:
Accurate 3-DoF Camera Geo-Localization via Ground-to-Satellite Image Matching. 2682-2697 - Xingxing Wei, Ying Guo, Jie Yu:
Adversarial Sticker: A Stealthy Attack Method in the Physical World. 2711-2725 - Yiwen Guo, Qizhang Li, Wangmeng Zuo, Hao Chen:
An Intermediate-Level Attack Framework on the Basis of Linear Regression. 2726-2735 - Shi-Xue Zhang, Xiaobin Zhu, Lei Chen, Jie-Bo Hou, Xu-Cheng Yin:
Arbitrary Shape Text Detection via Segmentation With Probability Maps. 2736-2750 - Changqin Huang, Ming Li, Feilong Cao, Hamido Fujita, Zhao Li, Xindong Wu:
Are Graph Convolutional Networks With Random Weights Feasible? 2751-2768 - Tianlong Chen, Kaixiong Zhou, Keyu Duan, Wenqing Zheng, Peihao Wang, Xia Hu, Zhangyang Wang:
Bag of Tricks for Training Deeper Graph Neural Networks: A Comprehensive Benchmark Study. 2769-2781 - Jingting Li, Zizhao Dong, Shaoyuan Lu, Su-Jing Wang, Wen-Jing Yan, Yinhuan Ma, Ye Liu, Changbing Huang, Xiaolan Fu:
CAS(ME)3: A Third Generation Facial Spontaneous Micro-Expression Database With Depth Information and High Ecological Validity. 2782-2800 - Chunfeng Song, Yongzhen Huang, Weining Wang, Liang Wang:
CASIA-E: A Large Comprehensive Dataset for Gait Recognition. 2801-2815 - Heng Yang, Luca Carlone:
Certifiably Optimal Outlier-Robust Geometric Perception: Semidefinite Relaxations and Scalable Global Optimization. 2816-2834 - Chen Gong, Yongliang Ding, Bo Han, Gang Niu, Jian Yang, Jane You, Dacheng Tao, Masashi Sugiyama:
Class-Wise Denoising for Robust Learning Under Label Noise. 2835-2848 - Shuaicheng Liu, Nianjin Ye, Chuan Wang, Jirong Zhang, Lanpeng Jia, Kunming Luo, Jue Wang, Jian Sun:
Content-Aware Unsupervised Deep Homography Estimation and its Extensions. 2849-2863 - Weixia Zhang, Dingquan Li, Chao Ma, Guangtao Zhai, Xiaokang Yang, Kede Ma:
Continual Learning for Blind Image Quality Assessment. 2864-2878 - Clément Chadebec, Elina Thibeau-Sutre, Ninon Burgos, Stéphanie Allassonnière:
Data Augmentation in High Dimensional Low Sample Size Setting Using a Geometry-Based Variational Autoencoder. 2879-2896 - Xinyue Wang, Liping Jing, Yilin Lyu, Mingzhe Guo, Jiaqi Wang, Huafeng Liu, Jian Yu, Tieyong Zeng:
Deep Generative Mixture Model for Robust Imbalance Classification. 2897-2912 - Haolan Chen, Bi'an Du, Shitong Luo, Wei Hu:
Deep Point Set Resampling via Gradient Fields. 2913-2930 - Zhuming Zhang, Yongtao Hu, Guoxing Yu, Jingwen Dai:
DeepTag: A General Framework for Fiducial Marker Design and Detection. 2931-2944 - Boyu Yang, Mingbao Lin, Yunxiao Zhang, Binghao Liu, Xiaodan Liang, Rongrong Ji, Qixiang Ye:
Dynamic Support Network for Few-Shot Class Incremental Learning. 2945-2951 - Siqi Wang, Yijie Zeng, Guang Yu, Zhen Cheng, Xinwang Liu, Sihang Zhou, En Zhu, Marius Kloft, Jianping Yin, Qing Liao:
E$^{3}$3Outlier: a Self-Supervised Framework for Unsupervised Deep Outlier Detection. 2952-2969 - Yan Huang, Yuming Wang, Liang Wang:
Efficient Image and Sentence Matching. 2970-2983 - Shanghua Gao, Zhong-Yu Li, Qi Han, Ming-Ming Cheng, Liang Wang:
RF-Next: Efficient Receptive Field Search for Convolutional Neural Networks. 2984-3002 - Xuejing Liu, Liang Li, Shuhui Wang, Zheng-Jun Zha, Zechao Li, Qi Tian, Qingming Huang:
Entity-Enhanced Adaptive Reconstruction Network for Weakly Supervised Referring Expression Grounding. 3003-3018 - Tao Zhao, Junwei Han, Le Yang, Dingwen Zhang:
Equivalent Classification Mapping for Weakly Supervised Temporal Action Localization. 3019-3031 - Zhuang Liu, Hung-Ju Wang, Tinghui Zhou, Zhiqiang Shen, Bingyi Kang, Evan Shelhamer, Trevor Darrell:
Exploring Simple and Transferable Recognition-Aware Image Processing. 3032-3046 - Xiaobo Xia, Bo Han, Nannan Wang, Jiankang Deng, Jiatong Li, Yinian Mao, Tongliang Liu:
Extended $T$T: Learning With Mixed Closed-Set and Open-Set Noisy Labels. 3047-3058 - Rui Tao, Jiangang Qiao:
Fast Component Tree Computation for Images of Limited Levels. 3059-3071 - Weiming Hu, Qiang Wang, Li Zhang, Luca Bertinetto, Philip H. S. Torr:
SiamMask: A Framework for Fast Online Object Tracking and Segmentation. 3072-3089 - Yang Xiao, Vincent Lepetit, Renaud Marlet:
Few-Shot Object Detection and Viewpoint Estimation for Objects in the Wild. 3090-3106 - Yifan Zhao, Jia Li, Yu Zhang, Yonghong Tian:
From Pose to Part: Weakly-Supervised Pose Evolution for Human Part Segmentation. 3107-3120 - Weihao Xia, Yulun Zhang, Yujiu Yang, Jing-Hao Xue, Bolei Zhou, Ming-Hsuan Yang:
GAN Inversion: A Survey. 3121-3138 - Xiang Li, Chengqi Lv, Wenhai Wang, Gang Li, Lingfeng Yang, Jian Yang:
Generalized Focal Loss: Towards Efficient Representation Learning for Dense Object Detection. 3139-3153 - Kelvin C. K. Chan, Xiangyu Xu, Xintao Wang, Jinwei Gu, Chen Change Loy:
GLEAN: Generative Latent Bank for Image Super-Resolution and Beyond. 3154-3168 - Xinyi Xu, Cheng Deng, Yaochen Xie, Shuiwang Ji:
Group Contrastive Self-Supervised Learning on Graphs. 3169-3180 - Yue Gao, Yifan Feng, Shuyi Ji, Rongrong Ji:
HGNN+: General Hypergraph Neural Networks. 3181-3199 - Zehua Sun, Qiuhong Ke, Hossein Rahmani, Mohammed Bennamoun, Gang Wang, Jun Liu:
Human Action Recognition From Various Data Modalities: A Review. 3200-3225 - Ziyang Zheng, Wenrui Dai, Duoduo Xue, Chenglin Li, Junni Zou, Hongkai Xiong:
Hybrid ISTA: Unfolding ISTA With Convergence Guarantees Using Free-Form Deep Neural Networks. 3226-3244 - Hanrui Wu, Yuguang Yan, Michael Kwok-Po Ng:
Hypergraph Collaborative Network on Vertices and Hyperedges. 3245-3258 - Tianyu Wang, Xiaowei Hu, Pheng-Ann Heng, Chi-Wing Fu:
Instance Shadow Detection With a Single-Stage Detector. 3259-3273 - Chenlei Lv, Weisi Lin, Baoquan Zhao:
Intrinsic and Isotropic Resampling for 3D Point Clouds. 3274-3291 - Yiyi Liao, Jun Xie, Andreas Geiger:
KITTI-360: A Novel Dataset and Benchmarks for Urban Scene Understanding in 2D and 3D. 3292-3310 - Junchen Zhu, Lianli Gao, Jingkuan Song, Yuan-Fang Li, Feng Zheng, Xuelong Li, Heng Tao Shen:
Label-Guided Generative Adversarial Network for Realistic Image Synthesis. 3311-3328 - Haiyang Mei, Xin Yang, Letian Yu, Qiang Zhang, Xiaopeng Wei, Rynson W. H. Lau:
Large-Field Contextual Feature Learning for Glass Detection. 3329-3346 - Mengmeng Wang, Jiazheng Xing, Jing Su, Jun Chen, Yong Liu:
Learning SpatioTemporal and Motion Features in a Unified 2D Network for Action Recognition. 3347-3362 - Hao Wang, Guosheng Lin, Steven C. H. Hoi, Chunyan Miao:
Learning Structural Representations for Recipe Generation and Food Retrieval. 3363-3377 - Yufan Liu, Jiajiong Cao, Bing Li, Weiming Hu, Stephen J. Maybank:
Learning to Explore Distillability and Sparsability: A Joint Framework for Model Compression. 3378-3395 - Jipeng Guo, Yanfeng Sun, Junbin Gao, Yongli Hu, Baocai Yin:
Logarithmic Schatten-$p$p Norm Minimization for Tensorial Multi-View Subspace Clustering. 3396-3410 - Tao Li, Lei Tan, Zhehao Huang, Qinghua Tao, Yipeng Liu, Xiaolin Huang:
Low Dimensional Trajectory Hypothesis is True: DNNs Can Be Trained in Tiny Subspaces. 3411-3420 - Jinhua Zhu, Yingce Xia, Lijun Wu, Jiajun Deng, Wengang Zhou, Tao Qin, Tie-Yan Liu, Houqiang Li:
Masked Contrastive Representation Learning for Reinforcement Learning. 3421-3433 - Haifeng Xia, Taotao Jing, Zhengming Ding:
Maximum Structural Generation Discrepancy for Unsupervised Domain Adaptation. 3434-3445 - Huaibo Huang, Mandi Luo, Ran He:
Memory Uncertainty Learning for Real-World Single Image Deraining. 3446-3460 - Quanyi Li, Zhenghao Peng, Lan Feng, Qihang Zhang, Zhenghai Xue, Bolei Zhou:
MetaDrive: Composing Diverse Driving Scenarios for Generalizable Reinforcement Learning. 3461-3475 - Zhenshan Bing, David Lerch, Kai Huang, Alois C. Knoll:
Meta-Reinforcement Learning in Non-Stationary and Dynamic Environments. 3476-3491 - Xin Tan, Jiaying Lin, Ke Xu, Pan Chen, Lizhuang Ma, Rynson W. H. Lau:
Mirror Detection With the Visual Chirality Cue. 3492-3504 - Jun Shu, Yanwen Zhu, Qian Zhao, Deyu Meng, Zongben Xu:
MLR-SNet: Transferable LR Schedules for Heterogeneous Tasks. 3505-3521 - Bruce X. B. Yu, Yan Liu, Xiang Zhang, Sheng-hua Zhong, Keith C. C. Chan:
MMNet: A Model-Based Multimodal Network for Human Action Recognition in RGB-D Videos. 3522-3538 - Chengbo Dong, Xinru Chen, Ruohan Hu, Juan Cao, Xirong Li:
MVSS-Net: Multi-View Multi-Scale Supervised Networks for Image Manipulation Detection. 3539-3553 - Yue Song, Nicu Sebe, Wei Wang:
On the Eigenvalues of Global Covariance Pooling for Fine-Grained Visual Recognition. 3554-3566 - Berkan Dulek:
On the Optimality of Sufficient Statistics-Based Quantizers. 3567-3573 - Lingbo Liu, Yuying Zhu, Guanbin Li, Ziyi Wu, Lei Bai, Liang Lin:
Online Metro Origin-Destination Prediction via Heterogeneous Information Aggregation. 3574-3589 - Yaoyao Zhong, Weihong Deng:
OPOM: Customized Invisible Cloak Towards Face Privacy Protection. 3590-3603 - Xingyu Xie, Qiuhao Wang, Zenan Ling, Xia Li, Guangcan Liu, Zhouchen Lin:
Optimization Induced Equilibrium Networks: An Explicit Optimization Perspective for Understanding Equilibrium Models. 3604-3616 - Samuel Bignardi, Romeil Sandhu, Anthony J. Yezzi:
Radar-Based Shape and Reflectivity Reconstruction Using Active Surfaces and the Level Set Method. 3617-3631 - David Stutz, Nandhini Chandramoorthy, Matthias Hein, Bernt Schiele:
Random and Adversarial Bit Error Robustness: Energy-Efficient and Secure DNN Accelerators. 3632-3647 - Haichuan Ma, Dong Liu, Feng Wu:
Rectified Wasserstein Generative Adversarial Networks for Perceptual Image Restoration. 3648-3663 - Edouard Yvinec, Arnaud Dapogny, Matthieu Cord, Kevin Bailly:
RED++ : Data-Free Pruning of Deep Neural Networks via Input Splitting and Output Merging. 3664-3676 - Chaoqi Chen, Jiongcheng Li, Hong-Yu Zhou, Xiaoguang Han, Yue Huang, Xinghao Ding, Yizhou Yu:
Relation Matters: Foreground-Aware Graph-Based Relational Reasoning for Domain Adaptive Object Detection. 3677-3694 - Jiequan Cui, Shu Liu, Zhuotao Tian, Zhisheng Zhong, Jiaya Jia:
ResLT: Residual Learning for Long-Tailed Recognition. 3695-3706 - Boulbaba Ben Amor, Sylvain Arguillère, Ling Shao:
ResNet-LDDMM: Advancing the LDDMM Framework Using Deep Residual Networks. 3707-3720 - Han-Jia Ye, Lu Han, De-Chuan Zhan:
Revisiting Unsupervised Meta-Learning via the Characteristics of Few-Shot Tasks. 3721-3737 - Mingchen Zhuge, Deng-Ping Fan, Nian Liu, Dingwen Zhang, Dong Xu, Ling Shao:
Salient Object Detection via Integrity Learning. 3738-3752 - Haohang Xu, Xiaopeng Zhang, Hao Li, Lingxi Xie, Wenrui Dai, Hongkai Xiong, Qi Tian:
Seed the Views: Hierarchical Semantic Alignment for Contrastive Representation Learning. 3753-3767 - Haitian Zheng, Zhe Lin, Jingwan Lu, Scott Cohen, Jianming Zhang, Ning Xu, Jiebo Luo:
Semantic Layout Manipulation With High-Resolution Sparse Attention. 3768-3782 - Yael Konforti, Alon Shpigler, Boaz Lerner, Aharon Bar-Hillel:
SIGN: Statistical Inference Graphs Based on Probabilistic Network Activity Interpretation. 3783-3797 - Jiale Cao, Yanwei Pang, Rao Muhammad Anwer, Hisham Cholakkal, Fahad Shahbaz Khan, Ling Shao:
SipMaskv2: Enhanced Fast Image and Video Instance Segmentation. 3798-3812 - Yaojie Liu, Xiaoming Liu:
Spoof Trace Disentanglement for Generic Face Anti-Spoofing. 3813-3830 - Leonid Kostrykin, Karl Rohr:
Superadditivity and Convex Optimization for Globally Optimal Cell Segmentation Using Deformable Shape Models. 3831-3847 - Lingling Zhang, Xiaojun Chang, Jun Liu, Minnan Luo, Zhihui Li, Lina Yao, Alex Hauptmann:
TN-ZSTAD: Transferable Network for Zero-Shot Temporal Activity Detection. 3848-3861 - Pengfei Wei, Thanh Vinh Vo, Xinghua Qu, Yew Soon Ong, Zejun Ma:
Transfer Kernel Learning for Multi-Source Transfer Gaussian Process Regression. 3862-3876 - Peng Hu, Hongyuan Zhu, Jie Lin, Dezhong Peng, Yin-Ping Zhao, Xi Peng:
Unsupervised Contrastive Cross-Modal Hashing. 3877-3889 - Giang Truong, Huu Le, Erchuan Zhang, David Suter, Syed Zulqarnain Gilani:
Unsupervised Learning for Maximum Consensus Robust Fitting: A Reinforcement Learning Approach. 3890-3903 - Haopeng Li, Qiuhong Ke, Mingming Gong, Rui Zhang:
Video Joint Modelling Based on Hierarchical Transformer for Co-Summarization. 3904-3917 - Mingjie Li, Po-Yao Huang, Xiaojun Chang, Junjie Hu, Yi Yang, Alex Hauptmann:
Video Pivoting Unsupervised Multi-Modal Machine Translation. 3918-3932 - Wei Wang, Junyu Gao, Changsheng Xu:
Weakly-Supervised Video Object Grounding via Causal Intervention. 3933-3948 - Sheng Ao, Yulan Guo, Qingyong Hu, Bo Yang, Andrew Markham, Zengping Chen:
You Only Train Once: Learning General and Distinctive 3D Local Descriptors. 3949-3967 - Kaihao Zhang, Dongxu Li, Wenhan Luo, Jingyu Liu, Jiankang Deng, Wei Liu, Stefanos Zafeiriou:
EDFace-Celeb-1 M: Benchmarking Face Hallucination With a Million-Scale Dataset. 3968-3978 - Fabio Poiesi, Davide Boscaini:
Learning General and Distinctive 3D Local Deep Descriptors for Point Cloud Registration. 3979-3985 - Rui Zhang, Ziheng Jiao, Hongyuan Zhang, Xuelong Li:
Manifold Neural Network With Non-Gradient Optimization. 3986-3993 - Amos Golan, Duncan K. Foley:
Understanding the Constraints in Maximum Entropy Methods for Modeling and Inference. 3994-3998 - Marine Picot, Francisco Messina, Malik Boudiaf, Fabrice Labeau, Ismail Ben Ayed, Pablo Piantanida:
Adversarial Robustness Via Fisher-Rao Regularization. 2698-2710
Volume 45, Number 4, April 2023
- Mingbao Lin, Yuxin Zhang, Yuchao Li, Bohong Chen, Fei Chao, Mengdi Wang, Shen Li, Yonghong Tian, Rongrong Ji:
1xN Pattern for Pruning Convolutional Neural Networks. 3999-4008 - Marc Habermann, Weipeng Xu, Michael Zollhöfer, Gerard Pons-Moll, Christian Theobalt:
A Deeper Look into DeepCap (Invited Paper). 4009-4022 - Andreas Look, Melih Kandemir, Barbara Rakitsch, Jan Peters:
A Deterministic Approximation to Neural SDEs. 4023-4037 - Liping Deng, Mingqing Xiao:
A New Automatic Hyperparameter Recommendation Approach Under Low-Rank Tensor Completion e Framework. 4038-4050 - Farhad Pourpanah, Moloud Abdar, Yuxuan Luo, Xinlei Zhou, Ran Wang, Chee Peng Lim, Xi-Zhao Wang, Q. M. Jonathan Wu:
A Review of Generalized Zero-Shot Learning Methods. 4051-4070 - Gabriel Huang, Issam H. Laradji, David Vázquez, Simon Lacoste-Julien, Pau Rodríguez:
A Survey of Self-Supervised and Few-Shot Object Detection. 4071-4089 - Ke Ma, Qianqian Xu, Jinshan Zeng, Guorong Li, Xiaochun Cao, Qingming Huang:
A Tale of HodgeRank and Spectral Method: Target Attack Against Rank Aggregation is the Fixed Point of Adversarial Game. 4090-4108 - Sudhakar Kumawat, Tadashi Okawara, Michitaka Yoshida, Hajime Nagahara, Yasushi Yagi:
Action Recognition From a Single Coded Image. 4109-4121 - Hui Shuai, Lele Wu, Qingshan Liu:
Adaptive Multi-View and Temporal Fusing Transformer for 3D Human Pose Estimation. 4122-4135 - Yuanhao Zhai, Le Wang, Wei Tang, Qilin Zhang, Nanning Zheng, David S. Doermann, Junsong Yuan, Gang Hua:
Adaptive Two-Stream Consensus Network for Weakly-Supervised Temporal Action Localization. 4136-4151 - Tianren Zhang, Shangqi Guo, Tian Tan, Xiaolin Hu, Feng Chen:
Adjacency Constraint for Efficient Hierarchical Reinforcement Learning. 4152-4166 - Shao-Yuan Lo, Poojan Oza, Vishal M. Patel:
Adversarially Robust One-Class Novelty Detection. 4167-4179 - Jiayong Peng, Zhiwei Xiong, Hao Tan, Xin Huang, Zheng-Ping Li, Feihu Xu:
Boosting Photon-Efficient Image Reconstruction With A Unified Deep Neural Network. 4180-4197 - Chuan-Xian Ren, You-Wei Luo, Dao-Qing Dai:
BuresNet: Conditional Bures Metric for Transferable Representation Learning. 4198-4213 - Hongzhi Huang, Yu Wang, Qinghua Hu, Ming-Ming Cheng:
Class-Specific Semantic Reconstruction for Open Set Recognition. 4214-4228 - Dong Li, Wenbo Song, Jiming Liu:
Complex Network Evolution Model Based on Turing Pattern Dynamics. 4229-4244 - Shiqi Chen, Ting Lin, Huajun Feng, Zhihai Xu, Qi Li, Yueting Chen:
Computational Optics for Mobile Terminals in Mass Production. 4245-4259 - Pan Du, Hui Chen, Suyun Zhao, Shuwen Chai, Hong Chen, Cuiping Li:
Contrastive Active Learning Under Class Distribution Mismatch. 4260-4273 - Hao Zhou, Jun Zhang, Tingjin Luo, Yazhou Yang, Jun Lei:
Debiased Scene Graph Generation for Dual Imbalance Learning. 4274-4288 - Tao Sun, Dongsheng Li, Bao Wang:
Decentralized Federated Averaging. 4289-4301 - Elahe Vahdani, Yingli Tian:
Deep Learning-Based Action Detection in Untrimmed Videos: A Survey. 4302-4320 - Xuguang Duan, Xin Wang, Peilin Zhao, Guangyao Shen, Wenwu Zhu:
DeepLogic: Joint Learning of Neural Perception and Logical Reasoning. 4321-4334 - Xue Yang, Gefan Zhang, Xiaojiang Yang, Yue Zhou, Wentao Wang, Jin Tang, Tao He, Junchi Yan:
Detecting Rotated Objects as Gaussian Distributions and its 3-D Generalization. 4335-4354 - Kenji Enomoto, Michael Waechter, Fumio Okura, Kiriakos N. Kutulakos, Yasuyuki Matsushita:
Discrete Search Photometric Stereo for Fast and Accurate Shape Estimation. 4355-4367 - Jiahuan Zhou, Bing Su, Ying Wu:
Discriminative Self-Paced Group-Metric Adaptation for Online Visual Identification. 4368-4383 - André Greiner-Petter, Moritz Schubotz, Corinna Breitinger, Philipp Scharpf, Akiko Aizawa, Bela Gipp:
Do the Math: Making Mathematics in Wikipedia Computable. 4384-4395 - Kaiyang Zhou, Ziwei Liu, Yu Qiao, Tao Xiang, Chen Change Loy:
Domain Generalization: A Survey. 4396-4415 - Yilun Chen, Shijia Huang, Shu Liu, Bei Yu, Jiaya Jia:
DSGN++: Exploiting Visual-Spatial Relation for Stereo-Based 3D Detectors. 4416-4429 - Changlin Li, Guangrun Wang, Bing Wang, Xiaodan Liang, Zhihui Li, Xiaojun Chang:
DS-Net++: Dynamic Weight Slicing for Efficient Inference in CNNs and Vision Transformers. 4430-4446 - Yijie Lin, Yuanbiao Gou, Xiaotian Liu, Jinfeng Bai, Jiancheng Lv, Xi Peng:
Dual Contrastive Prediction for Incomplete Multi-View Representation Learning. 4447-4461 - Etienne Meunier, Anaïs Badoual, Patrick Bouthemy:
EM-Driven Unsupervised Learning for Efficient Motion Segmentation. 4462-4473 - Longguang Wang, Yulan Guo, Xiaoyu Dong, Yingqian Wang, Xinyi Ying, Zaiping Lin, Wei An:
Exploring Fine-Grained Sparsity in Convolutional Neural Networks for Efficient Inference. 4474-4493 - Jacopo Teneggi, Alexandre Luster, Jeremias Sulam:
Fast Hierarchical Games for Image Explanations. 4494-4503 - Shaofei Qin, Xuan Zhang, Hongteng Xu, Yi Xu:
Fast Quaternion Product Units for Learning Disentangled Representations in $\mathbb {SO}(3)$. 4504-4520 - Bowen Li, Lixin Fan, Hanlin Gu, Jie Li, Qiang Yang:
FedIPR: Ownership Verification for Federated Deep Neural Network Models. 4521-4536 - Qi Xie, Qian Zhao, Zongben Xu, Deyu Meng:
Fourier Series Expansion Based Filter Parametrization for Equivariant Convolutions. 4537-4551 - Yanwei Li, Hengshuang Zhao, Xiaojuan Qi, Yukang Chen, Lu Qi, Liwei Wang, Zeming Li, Jian Sun, Jiaya Jia:
Fully Convolutional Networks for Panoptic Segmentation With Point-Based Supervision. 4552-4568 - Zhihao Hu, Dong Xu, Guo Lu, Wei Jiang, Wei Wang, Shan Liu:
FVC: An End-to-End Framework Towards Deep Video Compression in Feature Space. 4569-4585 - Chaojie Wang, Bo Chen, Zhibin Duan, Wenchao Chen, Hao Zhang, Mingyuan Zhou:
Generative Text Convolutional Neural Network for Hierarchical Document Representation Learning. 4586-4604 - Gao Huang, Yulin Wang, Kangchen Lv, Haojun Jiang, Wenhui Huang, Pengfei Qi, Shiji Song:
Glance and Focus Networks for Dynamic Visual Recognition. 4605-4621 - Xikun Zhang, Dongjin Song, Dacheng Tao:
Hierarchical Prototype Networks for Continual Graph Representation Learning. 4622-4636 - Tianhao Liu, Daniel Andrés Díaz-Pachón, J. Sunil Rao, Jean-Eudes J. Dazard:
High Dimensional Mode Hunting Using Pettiest Components Analysis. 4637-4649 - Gong Cheng, Chunbo Lang, Junwei Han:
Holistic Prototype Activation for Few-Shot Segmentation. 4650-4666 - Nermin Samet, Samet Hicsonmez, Emre Akbas:
HoughNet: Integrating Near and Long-Range Evidence for Visual Detection. 4667-4681 - Yang-Tian Sun, Qian-Cheng Fu, Yue-Ren Jiang, Zitao Liu, Yu-Kun Lai, Hongbo Fu, Lin Gao:
Human Motion Transfer With 3D Constraints and Detail Enhancement. 4682-4693 - Junfeng Jing, Tian Gao, Weichuan Zhang, Yongsheng Gao, Changming Sun:
Image Feature Information Extraction for Interest Point Detection: A Comprehensive Review. 4694-4712 - Chitwan Saharia, Jonathan Ho, William Chan, Tim Salimans, David J. Fleet, Mohammad Norouzi:
Image Super-Resolution via Iterative Refinement. 4713-4726 - Daizong Liu, Wei Hu:
Imperceptible Transfer Attack and Defense on 3D Point Cloud Classification. 4727-4746 - Alexander Mey, Marco Loog:
Improved Generalization in Semi-Supervised Learning: A Survey of Theoretical Results. 4747-4767 - Ethan Weber, Dim P. Papadopoulos, Àgata Lapedriza, Ferda Ofli, Muhammad Imran, Antonio Torralba:
Incidents1M: A Large-Scale Dataset of Images With Natural Disasters, Damage, and Incidents. 4768-4781 - Diego Gomez, Nicanor Quijano, Luis Felipe Giraldo:
Information Optimization and Transferable State Abstractions in Deep Reinforcement Learning. 4782-4793 - Shengsheng Qian, Dizhan Xue, Quan Fang, Changsheng Xu:
Integrating Multi-Label Contrastive Learning With Dual Adversarial Graph Neural Networks for Cross-Modal Retrieval. 4794-4811 - Mengke Li, Yiu-Ming Cheung, Zhikai Hu:
Key Point Sensitive Loss for Long-Tailed Visual Recognition. 4812-4825 - Xiaotong Luo, Yanyun Qu, Yuan Xie, Yulun Zhang, Cuihua Li, Yun Fu:
Lattice Network for Lightweight Image Restoration. 4826-4842 - Kwanseok Oh, Jee Seok Yoon, Heung-Il Suk:
Learn-Explain-Reinforce: Counterfactual Reasoning and its Guidance to Reinforce an Alzheimer's Disease Diagnosis Model. 4843-4857 - Feiping Nie, Lai Tian, Rong Wang, Xuelong Li:
Learning Feature-Sparse Principal Subspace. 4858-4869 - Zhiqin Chen, Andrea Tagliasacchi, Hao Zhang:
Learning Mesh Representations via Binary Space Partitioning Tree Networks. 4870-4881 - Yifei Shi, Xin Xu, Junhua Xi, Xiaochang Hu, Dewen Hu, Kai Xu:
Learning to Detect 3D Symmetry From Single-View RGB-D Images With Weak Supervision. 4882-4896 - Mesut Erhan Unal, Keren Ye, Mingda Zhang, Christopher Thomas, Adriana Kovashka, Wei Li, Danfeng Qin, Jesse Berent:
Learning to Overcome Noise in Weak Caption Supervision for Object Detection. 4897-4914 - Guangtao Nie, Hua Huang:
Multi-Oriented Object Detection in Aerial Images With Double Horizontal Rectangles. 4932-4944 - Qingshan Xu, Weihang Kong, Wenbing Tao, Marc Pollefeys:
Multi-Scale Geometric Consistency Guided and Planar Prior Assisted Multi-View Stereo. 4945-4963 - Xingyu Wu, Bingbing Jiang, Yan Zhong, Huanhuan Chen:
Multi-Target Markov Boundary Discovery: Theory, Algorithm, and Application. 4964-4980 - Nan Zhang, Shiliang Sun:
Multiview Unsupervised Shapelet Learning for Multivariate Time Series Clustering. 4981-4996 - Jérôme Abdelnour, Jean Rouat, Giampiero Salvi:
NAAQA: A Neural Architecture for Acoustic Question Answering. 4997-5009 - Buzhen Huang, Tianshu Zhang, Yangang Wang:
Object-Occluded Human Shape and Pose Estimation With Probabilistic Latent Consistency. 5010-5026 - Motasem Alfarra, Adel Bibi, Hasan Hammoud, Mohamed Gaafar, Bernard Ghanem:
On the Decision Boundaries of Neural Networks: A Tropical Geometry Perspective. 5027-5037 - Fabio Brau, Giulio Rossolini, Alessandro Biondi, Giorgio C. Buttazzo:
On the Minimal Adversarial Perturbation for Deep Neural Networks With Provable Estimation Error. 5038-5052 - Zitai Wang, Qianqian Xu, Zhiyong Yang, Yuan He, Xiaochun Cao, Qingming Huang:
Optimizing Partial Area Under the Top-k Curve: Theory and Practice. 5053-5069 - Shanyan Guan, Jingwei Xu, Michelle Zhang He, Yunbo Wang, Bingbing Ni, Xiaokang Yang:
Out-of-Domain Human Mesh Reconstruction via Dynamic Bilevel Online Adaptation. 5070-5086 - Giannis Nikolentzos, George Dasoulas, Michalis Vazirgiannis:
Permute Me Softly: Learning Soft Permutations for Graph Representations. 5087-5098 - Quanshi Zhang, Xu Cheng, Yilan Chen, Zhefan Rao:
Quantifying the Knowledge in a DNN to Explain Knowledge Distillation for Classification. 5099-5113 - Pitchaporn Rewatbowornwong, Nontawat Tritrong, Supasorn Suwajanakorn:
Repurposing GANs for One-Shot Semantic Part Segmentation. 5114-5125 - Liang Bai, Jiye Liang, Yunxiao Zhao:
Self-Constrained Spectral Clustering. 5126-5138 - Christian Knoll, Adrian Weller, Franz Pernkopf:
Self-Guided Belief Propagation - A Homotopy Continuation Method. 5139-5157 - Zedu Chen, Bineng Zhong, Guorong Li, Shengping Zhang, Rongrong Ji, Zhenjun Tang, Xianxian Li:
SiamBAN: Target-Aware Tracking With Siamese Box Adaptive Network. 5158-5173 - Xinwang Liu:
SimpleMKKM: Simple Multiple Kernel K-Means. 5174-5186 - Wei Xia, Quanxue Gao, Qianqian Wang, Xinbo Gao, Chris Ding, Dacheng Tao:
Tensorized Bipartite Graph Learning for Multi-View Clustering. 5187-5202 - Jiae Kim, Yoonkyung Lee, Zhiyu Liang:
The Geometry of Nonlinear Embeddings in Kernel Discriminant Analysis. 5203-5217 - Fengxiang Yang, Juanjuan Weng, Zhun Zhong, Hong Liu, Zheng Wang, Zhiming Luo, Donglin Cao, Shaozi Li, Shin'ichi Satoh, Nicu Sebe:
Towards Robust Person Re-Identification by Defending Against Universal Attackers. 5218-5235 - Chong Mou, Jian Zhang:
TransCL: Transformer Makes Strong and Flexible Compressive Learning. 5236-5251 - Wenfei Yang, Tianzhu Zhang, Yongdong Zhang, Feng Wu:
Uncertainty Guided Collaborative Training for Weakly Supervised and Unsupervised Temporal Action Localization. 5252-5267 - Shangzhe Wu, Christian Rupprecht, Andrea Vedaldi:
Unsupervised Learning of Probably Symmetric Deformable 3D Objects From Images in the Wild (Invited Paper). 5268-5281 - Yiheng Liu, Wengang Zhou, Qiaokang Xie, Houqiang Li:
Unsupervised Person Re-Identification With Wireless Positioning Under Weak Scene Labeling. 5282-5295 - Lumin Xu, Sheng Jin, Wentao Liu, Chen Qian, Wanli Ouyang, Ping Luo, Xiaogang Wang:
ZoomNAS: Searching for Whole-Body Human Pose Estimation in the Wild. 5296-5313 - Hugo Touvron, Piotr Bojanowski, Mathilde Caron, Matthieu Cord, Alaaeldin El-Nouby, Edouard Grave, Gautier Izacard, Armand Joulin, Gabriel Synnaeve, Jakob Verbeek, Hervé Jégou:
ResMLP: Feedforward Networks for Image Classification With Data-Efficient Training. 5314-5321 - Zhengxin Li, Feiping Nie, Jintang Bian, Danyang Wu, Xuelong Li:
Sparse PCA via $\ell _{2,p}$ℓ2,p-Norm Regularization for Unsupervised Feature Selection. 5322-5328 - Rui Zhang, Yunxing Zhang, Chengjun Lu, Xuelong Li:
Unsupervised Graph Embedding via Adaptive Graph Learning. 5329-5336 - Il Yong Chun, Zhengyu Huang, Hongki Lim, Jeffrey A. Fessler:
Momentum-Net: Fast and Convergent Iterative Neural Network for Inverse Problems. 4915-4931
Volume 45, Number 5, May 2023
- Shuren Qi, Yushu Zhang, Chao Wang, Jiantao Zhou, Xiaochun Cao:
A Principled Design of Image Representation: Towards Forensic Tasks. 5337-5354 - Liangshao Hou, Delin Chu, Li-Zhi Liao:
A Progressive Hierarchical Alternating Least Squares Method for Symmetric Nonnegative Matrix Factorization. 5355-5369 - Xiaojie Guo, Liang Zhao:
A Systematic Survey on Deep Generative Models for Graph Generation. 5370-5390 - Minghan Yang, Dong Xu, Qiwen Cui, Zaiwen Wen, Pengxiang Xu:
An Efficient Fisher Matrix Approximation Method for Large-Scale Neural Network Optimization. 5391-5403 - Hongbin Lin, Dan Guo, Jianing Wei, Boran Guan, Zeyu Chen, Xiuping Peng:
Analytical Tensor Voting in ND Space and its Properties. 5404-5416 - Wei Dong, Yixing Lao, Michael Kaess, Vladlen Koltun:
ASH: A Modern Framework for Parallel Spatial Hashing in 3D Perception. 5417-5435 - Meng-Hao Guo, Zheng-Ning Liu, Tai-Jiang Mu, Shi-Min Hu:
Beyond Self-Attention: External Attention Using Two Linear Layers for Visual Tasks. 5436-5447 - Fu-En Wang, Yu-Hsuan Yeh, Yi-Hsuan Tsai, Wei-Chen Chiu, Min Sun:
BiFuse++: Self-Supervised and Efficient Bi-Projection Fusion for 360° Depth Estimation. 5448-5460 - Anran Liu, Yihao Liu, Jinjin Gu, Yu Qiao, Chao Dong:
Blind Image Super-Resolution: A Survey and Beyond. 5461-5480 - Yikai Wang, Fuchun Sun, Wenbing Huang, Fengxiang He, Dacheng Tao:
Channel Exchanging Networks for Multimodal and Multitask Dense Image Prediction. 5481-5496 - Matteo Boschini, Lorenzo Bonicelli, Pietro Buzzega, Angelo Porrello, Simone Calderara:
Class-Incremental Continual Learning Into the eXtended DER-Verse. 5497-5512 - Marc Masana, Xialei Liu, Bartlomiej Twardowski, Mikel Menta, Andrew D. Bagdanov, Joost van de Weijer:
Class-Incremental Learning: Survey and Performance Evaluation on Image Classification. 5513-5533 - Michael Lutter, Boris Belousov, Shie Mannor, Dieter Fox, Animesh Garg, Jan Peters:
Continuous-Time Fitted Value Iteration for Robust Policies. 5534-5548 - Xiao Wang, Guo-Jun Qi:
Contrastive Learning With Stronger Augmentations. 5549-5560 - Difei Gao, Ruiping Wang, Shiguang Shan, Xilin Chen:
CRIC: A VQA Dataset for Compositional Reasoning on Vision and Commonsense. 5561-5578 - Yohai Reani, Omer Bobrowski:
Cycle Registration in Persistent Homology With Applications in Topological Bootstrap. 5579-5593 - Bedirhan Uzun, Hakan Cevikalp, Hasan Saribas:
Deep Discriminative Feature Models (DDFMs) for Set Based Face Recognition and Distance Metric Learning. 5594-5608 - Zitong Yu, Yunxiao Qin, Xiaobai Li, Chenxu Zhao, Zhen Lei, Guoying Zhao:
Deep Learning for Face Anti-Spoofing: A Survey. 5609-5631 - Chi Zhang, Yujun Cai, Guosheng Lin, Chunhua Shen:
DeepEMD: Differentiable Earth Mover's Distance for Few-Shot Learning. 5632-5648 - Wenbin Li, Lei Wang, Xingxing Zhang, Lei Qi, Jing Huo, Yang Gao, Jiebo Luo:
Defensive Few-Shot Learning. 5649-5667 - Xin Qiao, Chenyang Ge, Pengchao Deng, Hao Wei, Matteo Poggi, Stefano Mattoccia:
Depth Restoration in Under-Display Time-of-Flight Imaging. 5668-5683 - Hexiang Hu, Ozan Sener, Fei Sha, Vladlen Koltun:
Drinking From a Firehose: Continual Learning With Web-Scale Natural Language. 5684-5696 - Tong He, Chunhua Shen, Anton van den Hengel:
Dynamic Convolution for 3D Point Cloud Instance Segmentation. 5697-5711 - Li Zhang, Mohan Chen, Anurag Arnab, Xiangyang Xue, Philip H. S. Torr:
Dynamic Graph Message Passing Networks. 5712-5730 - Fei Ye, Adrian G. Bors:
Dynamic Self-Supervised Teacher-Student Network Learning. 5731-5748 - Guangming Wang, Xinrui Wu, Shuyang Jiang, Zhe Liu, Hesheng Wang:
Efficient 3D Deep LiDAR Odometry. 5749-5765 - Jiangjun Peng, Yao Wang, Hong-Ying Zhang, Jianjun Wang, Deyu Meng:
Exact Decomposition of Joint Low Rankness and Local Smoothness Plus Sparse Matrices. 5766-5781 - Hao Yuan, Haiyang Yu, Shurui Gui, Shuiwang Ji:
Explainability in Graph Neural Networks: A Taxonomic Survey. 5782-5799 - Donglin Di, Changqing Zou, Yifan Feng, Haiyan Zhou, Rongrong Ji, Qionghai Dai, Yue Gao:
Generating Hypergraph-Based High-Order Representations of Whole-Slide Histopathological Images for Survival Prediction. 5800-5815 - Osamu Hirose:
Geodesic-Based Bayesian Coherent Point Drift. 5816-5832 - Alaa Bessadok, Mohamed Ali Mahjoub, Islem Rekik:
Graph Neural Networks in Network Neuroscience. 5833-5848 - Mingzhu Zhu, Bingwei He, Junzhi Yu, Fusong Yuan, Jiantao Liu:
HydraMarker: Efficient, Flexible, and Multifold Marker Field Generation. 5849-5861 - Debolina Paul, Saptarshi Chakraborty, Swagatam Das, Jason Q. Xu:
Implicit Annealing in Kernel Spaces: A Strongly Consistent Clustering Approach. 5862-5871 - Andreas Nienkötter, Xiaoyi Jiang:
Kernel-Based Generalized Median Computation for Consensus Learning. 5872-5888 - Dihan Zheng, Xiaowen Zhang, Kaisheng Ma, Chenglong Bao:
Learn From Unpaired Data for Image Restoration: A Variational Bayes Approach. 5889-5903 - Xiaoming Li, Shiguang Zhang, Shangchen Zhou, Lei Zhang, Wangmeng Zuo:
Learning Dual Memory Dictionaries for Blind Face Restoration. 5904-5917 - Sumin Lee, Hyunjun Eun, Jinyoung Moon, Seokeon Choi, Yoonhyung Kim, Chanho Jung, Changick Kim:
Learning to Discriminate Information for Online Action Detection: Analysis and Application. 5918-5934 - Zhi Gao, Yuwei Wu, Xiaomeng Fan, Mehrtash Harandi, Yunde Jia:
Learning to Optimize on Riemannian Manifolds. 5935-5952 - Risheng Liu, Long Ma, Tengyu Ma, Xin Fan, Zhongxuan Luo:
Learning With Nested Scene Modeling and Cooperative Architecture Search for Low-Light Vision. 5953-5969 - Yangbangyan Jiang, Xiaodan Li, Yuefeng Chen, Yuan He, Qianqian Xu, Zhiyong Yang, Xiaochun Cao, Qingming Huang:
MaxMatch: Semi-Supervised Learning With Worst-Case Consistency. 5970-5987 - Zhenchao Jin, Dongdong Yu, Zehuan Yuan, Lequan Yu:
MCIBI++: Soft Mining Contextual Information Beyond Image for Semantic Segmentation. 5988-6005 - Junsong Fan, Zhaoxiang Zhang:
Memory-Based Cross-Image Contexts for Weakly Supervised Semantic Segmentation. 6006-6020 - Fuping Wu, Xiahai Zhuang:
Minimizing Estimated Risks on Unlabeled Data: A New Formulation for Semi-Supervised Medical Image Segmentation. 6021-6036 - Qi Yang, Yujie Zhang, Siheng Chen, Yiling Xu, Jun Sun, Zhan Ma:
MPED: Quantifying Point Cloud Distortion Based on Multiscale Potential Energy Discrepancy. 6037-6054 - Hao Tang, Philip H. S. Torr, Nicu Sebe:
Multi-Channel Attention Selection GANs for Guided Image-to-Image Translation. 6055-6071 - Lei Jiao, Xuan Zhang, Ole-Christoffer Granmo, Kuruge Darshana Abeyrathna:
On the Convergence of Tsetlin Machines for the XOR Operator. 6072-6085 - Jinjing Shi, Wenxuan Wang, Xiaoping Lou, Shichao Zhang, Xuelong Li:
Parameterized Hamiltonian Learning With Quantum Circuit. 6086-6095 - Guilin Liu, Aysegul Dundar, Kevin J. Shih, Ting-Chun Wang, Fitsum A. Reda, Karan Sapra, Zhiding Yu, Xiaodong Yang, Andrew Tao, Bryan Catanzaro:
Partial Convolution for Padding, Inpainting, and Image Synthesis. 6096-6110 - Joshua J. Engelsma, Steven A. Grosz, Anil K. Jain:
PrintsGAN: Synthetic Fingerprint Generator. 6111-6124 - Aleix Boquet-Pujadas, Jean-Christophe Olivo-Marin:
Reformulating Optical Flow to Solve Image-Based Inverse Problems and Quantify Uncertainty. 6125-6141 - Xinming Wang, Chao Wang, Xuan Song, Levi Kirby, Jianguo Wu:
Regularized Multi-Output Gaussian Convolution Process With Domain Adaptation. 6142-6156 - Andrew Patterson, Victor Liao, Martha White:
Robust Losses for Learning Value Functions. 6157-6167 - Jie Zhao, Kenan Dai, Pengyu Zhang, Dong Wang, Huchuan Lu:
Robust Online Tracking With Meta-Updater. 6168-6182 - Kexue Fu, Jiazheng Luo, Xiaoyuan Luo, Shaolei Liu, Chenxi Zhang, Manning Wang:
Robust Point Cloud Registration Framework Based on Deep Graph Matching. 6183-6195 - Zhuo Su, Lan Xu, Dawei Zhong, Zhong Li, Fan Deng, Shuxue Quan, Lu Fang:
RobustFusion: Robust Volumetric Performance Reconstruction Under Human-Object Interactions From Monocular RGBD Stream. 6196-6213 - Bin Fan, Yuchao Dai, Hongdong Li:
Rolling Shutter Inversion: Bring Rolling Shutter Images to High Framerate Global Shutter Video. 6214-6230 - Hui Zhang, Quanming Yao, James T. Kwok, Xiang Bai:
Searching a High Performance Feature Extractor for Text Recognition Network. 6231-6246 - Zhentao Tan, Qi Chu, Menglei Chai, Dongdong Chen, Jing Liao, Qiankun Liu, Bin Liu, Gang Hua, Nenghai Yu:
Semantic Probability Distribution Modeling for Diverse Semantic Image Synthesis. 6247-6264 - Jia Li, Yongfeng Huang, Heng Chang, Yu Rong:
Semi-Supervised Hierarchical Graph Classification. 6265-6276 - Mingbao Lin, Rongrong Ji, Zihan Xu, Baochang Zhang, Fei Chao, Chia-Wen Lin, Ling Shao:
SiMaN: Sign-to-Magnitude Network Binarization. 6277-6288 - Shengtian Sang, Yuyin Zhou, Md Tauhidul Islam, Lei Xing:
Small-Object Sensitive Segmentation Using Across Feature Map Attention. 6289-6306 - Junyi Guan, Sheng Li, Xiongxiong He, Jinhui Zhu, Jiajia Chen, Peng Si:
SMMP: A Stable-Membership-Based Auto-Tuning Multi-Peak Clustering Algorithm. 6307-6319 - Peng Xiang, Xin Wen, Yu-Shen Liu, Yan-Pei Cao, Pengfei Wan, Wen Zheng, Zhizhong Han:
Snowflake Point Deconvolution for Point Cloud Completion and Generation With Skip-Transformer. 6320-6338 - Takayuki Hara, Yusuke Mukuta, Tatsuya Harada:
Spherical Image Generation From a Few Normal-Field-of-View Images by Considering Scene Symmetry. 6339-6353 - Jihan Yang, Shaoshuai Shi, Zhe Wang, Hongsheng Li, Xiaojuan Qi:
ST3D++: Denoised Self-Training for Unsupervised Domain Adaptation on 3D Object Detection. 6354-6371 - Sunok Kim, Seungryong Kim, Dongbo Min, Pascal Frossard, Kwanghoon Sohn:
Stereo Confidence Estimation via Locally Adaptive Fusion and Knowledge Distillation. 6372-6385 - Xiaoqin Zhang, Jingjing Zheng, Di Wang, Guiying Tang, Zhengyuan Zhou, Zhouchen Lin:
Structured Sparsity Optimization With Non-Convex Surrogates of $\ell _{2,0}$ℓ2,0-Norm: A Unified Algorithmic Framework. 6386-6402 - Muzammal Naseer, Salman Khan, Munawar Hayat, Fahad Shahbaz Khan, Fatih Porikli:
Stylized Adversarial Defense. 6403-6414 - Sina Honari, Victor Constantin, Helge Rhodin, Mathieu Salzmann, Pascal Fua:
Temporal Representation Learning on Monocular Videos for 3D Human Pose Estimation. 6415-6427 - Fang Bai, Adrien Bartoli:
The Proxy Step-Size Technique for Regularized Optimization on the Sphere Manifold. 6428-6444 - T. M. Feroz Ali, Subhasis Chaudhuri:
Theoretical Analysis of Null Foley-Sammon Transform and its Implications. 6445-6459 - Zhongyi Han, Xian-Jin Gui, Haoliang Sun, Yilong Yin, Shuo Li:
Towards Accurate and Robust Domain Adaptation Under Multiple Noisy Environments. 6460-6479 - Wei Yin, Jianming Zhang, Oliver Wang, Simon Niklaus, Simon Chen, Yifan Liu, Chunhua Shen:
Towards Accurate Reconstruction of 3D Scene Shape From A Single Monocular Image. 6480-6494 - Yuanfei Huang, Jie Li, Yanting Hu, Xinbo Gao, Hua Huang:
Transitional Learning: Exploring the Transition States of Degradation for Blind Super-resolution. 6495-6510 - Adnan Qayyum, Inaam Ilahi, Fahad Shamshad, Farid Boussaïd, Mohammed Bennamoun, Junaid Qadir:
Untrained Neural Network Priors for Inverse Imaging Problems: A Survey. 6511-6536 - Ning Xu, Jun Shu, RenYi Zheng, Xin Geng, Deyu Meng, Min-Ling Zhang:
Variational Label Enhancement. 6537-6551 - Sajid Javed, Martin Danelljan, Fahad Shahbaz Khan, Muhammad Haris Khan, Michael Felsberg, Jiri Matas:
Visual Object Tracking With Discriminative Filters and Siamese Networks: A Survey and Outlook. 6552-6574 - Li Yuan, Qibin Hou, Zihang Jiang, Jiashi Feng, Shuicheng Yan:
VOLO: Vision Outlooker for Visual Recognition. 6575-6586 - Sergio A. Alvarez:
Gaussian RBF Centered Kernel Alignment (CKA) in the Large-Bandwidth Limit. 6587-6593 - Xiangtai Li, Hao He, Yibo Yang, Henghui Ding, Kuiyuan Yang, Guangliang Cheng, Yunhai Tong, Dacheng Tao:
Improving Video Instance Segmentation via Temporal Pyramid Routing. 6594-6601
Volume 45, Number 6, June 2023
- Antonino Furnari, David J. Crandall, Dima Damen, Kristen Grauman, Giovanni Maria Farinella:
Editorial: Special Section on Egocentric Perception. 6602-6604 - Xiaohan Wang, Linchao Zhu, Yu Wu, Yi Yang:
Symbiotic Attention for Egocentric Action Recognition With Object-Centric Alignment. 6605-6617 - Georgios Kapidis, Ronald Poppe, Remco C. Veltkamp:
Multi-Dataset, Multitask Learning of Egocentric Vision Tasks. 6618-6630 - Huangyue Yu, Minjie Cai, Yunfei Liu, Feng Lu:
First- And Third-Person Video Co-Analysis By Learning Spatial-Temporal Joint Attention. 6631-6646 - Shijie Li, Yazan Abu Farha, Yun Liu, Ming-Ming Cheng, Juergen Gall:
MS-TCN++: Multi-Stage Temporal Convolutional Network for Action Segmentation. 6647-6658 - Huseyin Coskun, M. Zeeshan Zia, Bugra Tekin, Federica Bogo, Nassir Navab, Federico Tombari, Harpreet S. Sawhney:
Domain-Specific Priors and Meta Learning for Few-Shot First-Person Action Recognition. 6659-6673 - Swathikiran Sudhakaran, Sergio Escalera, Oswald Lanz:
Learning to Recognize Actions on Objects in Egocentric Video With Attention Dictionaries. 6674-6687 - Francesco Marchetti, Federico Becattini, Lorenzo Seidenari, Alberto Del Bimbo:
Multiple Trajectory Prediction of Moving Agents With Memory Augmented Networks. 6688-6702 - Eadom Dessalene, Chinmaya Devaraj, Michael Maynord, Cornelia Fermüller, Yiannis Aloimonos:
Forecasting Action Through Contact Representations From First Person Video. 6703-6714 - Zhaobo Qi, Shuhui Wang, Chi Su, Li Su, Qingming Huang, Qi Tian:
Self-Regulated Learning for Egocentric Video Activity Anticipation. 6715-6730 - Hae-Gon Jeon, Sunghoon Im, Byeong-Uk Lee, François Rameau, Dong-Geol Choi, Jean Oh, In So Kweon, Martial Hebert:
A Large-Scale Virtual Dataset and Egocentric Localization for Disaster Responses. 6766-6782 - Curtis G. Northcutt, Shengxin Zha, Steven Lovegrove, Richard A. Newcombe:
EgoCom: A Multi-Person Multi-Modal Egocentric Communications Dataset. 6783-6793 - Denis Tomè, Thiemo Alldieck, Patrick Peluse, Gerard Pons-Moll, Lourdes Agapito, Hernán Badino, Fernando De la Torre:
SelfPose: 3D Egocentric Pose Estimation From a Headset Mounted Camera. 6794-6806 - Haonan Luo, Guosheng Lin, Yazhou Yao, Fayao Liu, Zichuan Liu, Zhenmin Tang:
Depth and Video Segmentation Based Visual Attention for Embodied Question Answering. 6807-6819 - Kyungjun Lee, Abhinav Shrivastava, Hernisa Kacorri:
Leveraging Hand-Object Interactions in Assistive Egocentric Vision. 6820-6831 - Pravin Nagar, Anuj Rathore, C. V. Jawahar, Chetan Arora:
Generating Personalized Summaries of Day Long Egocentric Videos. 6832-6845 - Andrea Bandini, José Zariffa:
Analysis of the Hands in Egocentric Vision: A Survey. 6846-6866 - Song Bai, Philip H. S. Torr, Ranjay Krishna, Li Fei-Fei, Abhinav Gupta, Song-Chun Zhu:
Guest Editorial: Introduction to the Special Section on Graphs in Vision and Pattern Analysis. 6867-6869 - Zhengyang Wang, Shuiwang Ji:
Second-Order Pooling for Graph Neural Networks. 6870-6880 - Yue Cao, Jiarui Xu, Stephen Lin, Fangyun Wei, Han Hu:
Global Context Networks. 6881-6895 - Zilong Huang, Xinggang Wang, Yunchao Wei, Lichao Huang, Humphrey Shi, Wenyu Liu, Thomas S. Huang:
CCNet: Criss-Cross Attention for Semantic Segmentation. 6896-6908 - Yecheng Lyu, Xinming Huang, Ziming Zhang:
Revisiting 2D Convolutional Neural Networks for Graph-Based Applications. 6909-6922 - Guohao Li, Matthias Müller, Guocheng Qian, Itzel C. Delgadillo, Abdulellah Abualshour, Ali K. Thabet, Bernard Ghanem:
DeepGCNs: Making GCNs Go as Deep as CNNs. 6923-6939 - Minsi Wang, Bingbing Ni, Xiaokang Yang:
Learning Multi-View Interactional Skeleton Graph for Action Recognition. 6940-6954 - Rui Yan, Lingxi Xie, Jinhui Tang, Xiangbo Shu, Qi Tian:
HiGCIN: Hierarchical Graph-Based Cross Inference Network for Group Activity Recognition. 6955-6968 - Zhao-Min Chen, Xiu-Shen Wei, Peng Wang, Yanwen Guo:
Learning Graph Convolutional Networks for Multi-Label Recognition and Applications. 6969-6983 - Runzhong Wang, Junchi Yan, Xiaokang Yang:
Combinatorial Learning of Robust Deep Graph Matching: An Embedding Based Approach. 6984-7000 - Yichao Yan, Jie Qin, Bingbing Ni, Jiaxin Chen, Li Liu, Fan Zhu, Wei-Shi Zheng, Xiaokang Yang, Ling Shao:
Learning Multi-Attention Context Graph for Group-Based Re-Identification. 7001-7018 - Yiming Gao, Zhanghui Kuang, Guanbin Li, Ping Luo, Yimin Chen, Liang Lin, Wayne Zhang:
Fashion Retrieval via Graph Reasoning Networks on a Similarity Pyramid. 7019-7034 - Yifan Liu, Changyong Shu, Jingdong Wang, Chunhua Shen:
Structured Knowledge Distillation for Dense Prediction. 7035-7049 - Mojtaba Nayyeri, Chengjin Xu, Mirza Mohtashim Alam, Jens Lehmann, Hamed Shariat Yazdi:
LogicENN: A Neural Based Knowledge Graphs Embedding Model With Logical Rules. 7050-7062 - Giuseppe Patanè:
Fourier-Based and Rational Graph Filters for Spectral Processing. 7063-7074 - Xiaodong Jiang, Ronghang Zhu, Pengsheng Ji, Sheng Li:
Co-Embedding of Nodes and Edges With Graph Neural Networks. 7075-7086 - Zhoumin Lu, Feiping Nie, Rong Wang, Xuelong Li:
A Differentiable Perspective for Multi-View Spectral Clustering With Flexible Extension. 7087-7098 - Tianfei Zhou, Fatih Porikli, David J. Crandall, Luc Van Gool, Wenguan Wang:
A Survey on Deep Learning Technique for Video Segmentation. 7099-7122 - Shancheng Fang, Zhendong Mao, Hongtao Xie, Yuxin Wang, Chenggang Yan, Yongdong Zhang:
ABINet++: Autonomous, Bidirectional and Iterative Language Modeling for Scene Text Spotting. 7123-7141 - Pengfei Wei, Yiping Ke, Yew-Soon Ong, Zejun Ma:
Adaptive Transfer Kernel Learning for Transfer Gaussian Process Regression. 7142-7156 - Haoshu Fang, Jiefeng Li, Hongyang Tang, Chao Xu, Haoyi Zhu, Yuliang Xiu, Yong-Lu Li, Cewu Lu:
AlphaPose: Whole-Body Regional Multi-Person Pose Estimation and Tracking in Real-Time. 7157-7173 - Seokju Cho, Sunghwan Hong, Seungryong Kim:
CATs++: Boosting Cost Aggregation With Convolutions and Transformers. 7174-7194 - Keith A. LeGrand, Pingping Zhu, Silvia Ferrari:
Cell Multi-Bernoulli (Cell-MB) Sensor Control for Multi-Object Search-While-Tracking (SWT). 7195-7207 - Young-geun Kim, Kyungbok Lee, Myunghee Cho Paik:
Conditional Wasserstein Generator. 7208-7219 - Shichao Kan, Zhiquan He, Yigang Cen, Yang Li, Vladimir Mladenovic, Zhihai He:
Contrastive Bayesian Analysis for Deep Metric Learning. 7220-7238 - Jinxing Zhou, Dan Guo, Meng Wang:
Contrastive Positive Sample Propagation Along the Audio-Visual Event Line. 7239-7257 - Hanchi Huang, Deheng Ye, Li Shen, Wei Liu:
Curriculum-Based Asymmetric Multi-Task Reinforcement Learning. 7258-7269 - Wei Chen, Yu Liu, Weiping Wang, Erwin M. Bakker, Theodoros Georgiou, Paul W. Fieguth, Li Liu, Michael S. Lew:
Deep Learning for Instance Retrieval: A Survey. 7270-7292 - Dixin Luo, Hongteng Xu, Lawrence Carin:
Differentiable Hierarchical Optimal Transport for Robust Multi-View Learning. 7293-7307 - Tamara T. Mueller, Johannes C. Paetzold, Chinmay Prabhakar, Dmitrii Usynin, Daniel Rueckert, Georgios Kaissis:
Differentially Private Graph Neural Networks for Whole-Graph Classification. 7308-7318 - Chuchu Han, Zhedong Zheng, Kai Su, Dongdong Yu, Zehuan Yuan, Changxin Gao, Nong Sang, Yi Yang:
DMRNet++: Learning Discriminative Features With Decoupled Networks and Enriched Pairs for One-Step Person Search. 7319-7337 - Yifan Jiao, Hantao Yao, Changsheng Xu:
Dual Instance-Consistent Network for Cross-Domain Object Detection. 7338-7352 - Taha Belkhouja, Yan Yan, Janardhan Rao Doppa:
Dynamic Time Warping Based Adversarial Framework for Time-Series Domain. 7353-7366 - Yue Song, Nicu Sebe, Wei Wang:
Fast Differentiable Matrix Square Root and Inverse Square Root. 7367-7380 - Andrés F. Duque, Sacha Morin, Guy Wolf, Kevin R. Moon:
Geometry Regularized Autoencoders. 7381-7394 - Yinghao Xu, Yujun Shen, Jiapeng Zhu, Ceyuan Yang, Bolei Zhou:
GH-Feat: Learning Versatile Generative Hierarchical Features From GANs. 7395-7411 - Xiaodong Jia, Xiao-Yuan Jing, Qixing Sun, Songcan Chen, Bo Du, David Zhang:
Human Collective Intelligence Inspired Multi-View Representation Learning - Enabling View Communication by Simulating Human Communication Mechanism. 7412-7429 - Aditya Chattopadhyay, Stewart Slocum, Benjamin D. Haeffele, René Vidal, Donald Geman:
Interpretable by Design: Learning Predictors by Composing Interpretable Queries. 7430-7443 - Junqing Huang, Michael V. Ruzhansky, Qianying Zhang, Haihui Wang:
Intrinsic Image Transfer for Illumination Manipulation. 7444-7456 - Shanghua Gao, Zhong-Yu Li, Ming-Hsuan Yang, Ming-Ming Cheng, Junwei Han, Philip H. S. Torr:
Large-Scale Unsupervised Semantic Segmentation. 7457-7476 - Fei Zhu, Xu-Yao Zhang, Rui-Qi Wang, Cheng-Lin Liu:
Learning by Seeing More Classes. 7477-7493 - Hao Chen, Yaohui Wang, Benoit Lagadec, Antitza Dantcheva, François Brémond:
Learning Invariance From Generated Variance for Unsupervised Person Re-Identification. 7494-7508 - Zhizhong Huang, Jie Chen, Junping Zhang, Hongming Shan:
Learning Representation for Clustering Via Prototype Scattering and Positive Sampling. 7509-7524 - Xin Wei, Ruixuan Yu, Jian Sun:
Learning View-Based Graph Convolutional Network for Multi-View 3D Shape Analysis. 7525-7541 - Jielei Chu, Jing Liu, Hongjun Wang, Hua Meng, Zhiguo Gong, Tianrui Li:
Micro-Supervised Disturbance Learning: A Perspective of Representation Probability Distribution. 7542-7558 - Xiangbo Shu, Binqian Xu, Liyan Zhang, Jinhui Tang:
Multi-Granularity Anchor-Contrastive Representation Learning for Semi-Supervised Skeleton-Based Action Recognition. 7559-7576 - Zhenyuan Ning, Zhangxin Zhao, Qianjin Feng, Wufan Chen, Qing Xiao, Yu Zhang:
Mutual-Assistance Learning for Standalone Mono-Modality Survival Analysis of Human Cancers. 7577-7594 - Yanxi Li, Minjing Dong, Yunhe Wang, Chang Xu:
Neural Architecture Search via Proxy Validation. 7595-7610 - Pakkapon Phongthawee, Suttisak Wizadwongsa, Jiraphon Yenphraphai, Supasorn Suwajanakorn:
NeX360: Real-Time All-Around View Synthesis With Neural Basis Expansion. 7611-7624 - Moritz Böhle, Mario Fritz, Bernt Schiele:
Optimising for Interpretability: Convolutional Dynamic Alignment Networks. 7625-7638 - Chengming Xu, Chen Liu, Xinwei Sun, Siqian Yang, Yabiao Wang, Chengjie Wang, Yanwei Fu:
PatchMix Augmentation to Identify Causal Features in Few-Shot Learning. 7639-7653 - Guang Feng, Lihe Zhang, Jiayu Sun, Zhiwei Hu, Huchuan Lu:
Referring Segmentation via Encoder-Fused Cross-Modal Attention Network. 7654-7667 - Qianqian Xu, Zhiyong Yang, Yunrui Zhao, Xiaochun Cao, Qingming Huang:
Rethinking Label Flipping Attack: From Sample Masking to Sample Thresholding. 7668-7685 - Changxin Huang, Guangrun Wang, Zhibo Zhou, Ronghui Zhang, Liang Lin:
Reward-Adaptive Reinforcement Learning: Dynamic Policy Gradient Optimization for Bipedal Locomotion. 7686-7695 - Shuquan Ye, Dongdong Chen, Songfang Han, Jing Liao:
Robust Point Cloud Segmentation With Noisy Annotations. 7696-7710 - Hao Wang, Zheng-Jun Zha, Liang Li, Xuejin Chen, Jiebo Luo:
Semantic and Relation Modulation for Audio-Visual Event Localization. 7711-7725 - Zehong Shen, Jiaming Sun, Yuang Wang, Xingyi He, Hujun Bao, Xiaowei Zhou:
Semi-Dense Feature Matching With Transformers and its Applications in Multiple-View Geometry. 7726-7738 - Cheng Wang, Carolin Lawrence, Mathias Niepert:
State-Regularized Recurrent Neural Networks to Extract Automata and Explain Predictions. 7739-7750 - Hai Wan, Xinwei Zhang, Yubo Zhang, Xibin Zhao, Shihui Ying, Yue Gao:
Structure Evolution on Manifold for Graph Learning. 7751-7763 - Yue Gao, Siqi Li, Yipeng Li, Yandong Guo, Qionghai Dai:
SuperFast: 200× Video Frame Interpolation via Event Camera. 7764-7780 - Zhi Chen, Jiang Duan, Li Kang, Guoping Qiu:
Supervised Anomaly Detection via Conditional Generative Adversarial Network and Ensemble Active Learning. 7781-7798 - Tom J. Viering, Marco Loog:
The Shape of Learning Curves: A Review. 7799-7819 - Yihong Xu, Yutong Ban, Guillaume Delorme, Chuang Gan, Daniela Rus, Xavier Alameda-Pineda:
TransCenter: Transformers With Dense Representations for Multiple-Object Tracking. 7820-7835 - Fadime Sener, Rishabh Saraf, Angela Yao:
Transferring Knowledge From Text to Video: Zero-Shot Anticipation for Procedural Actions. 7836-7852 - Qianyu Zhou, Xiangtai Li, Lu He, Yibo Yang, Guangliang Cheng, Yunhai Tong, Lizhuang Ma, Dacheng Tao:
TransVOD: End-to-End Video Object Detection With Spatial-Temporal Transformers. 7853-7869 - Ricardo Fabbri, Timothy Duff, Hongyi Fan, Margaret H. Regan, David da Costa de Pinho, Elias P. Tsigaridas, Charles W. Wampler, Jonathan D. Hauenstein, Peter J. Giblin, Benjamin B. Kimia, Anton Leykin, Tomás Pajdla:
Trifocal Relative Pose From Lines at Points. 7870-7884 - Shuaicheng Liu, Yuhang Lu, Hai Jiang, Nianjin Ye, Chuan Wang, Bing Zeng:
Unsupervised Global and Local Homography Estimation With Motion Basis Learning. 7885-7899 - Henghui Ding, Chang Liu, Suchen Wang, Xudong Jiang:
VLT: Vision-Language Transformer and Query Generation for Referring Segmentation. 7900-7916 - Zhizhong Huang, Junping Zhang, Hongming Shan:
When Age-Invariant Face Recognition Meets Face Age Synthesis: A Multi-Task Learning Framework and a New Benchmark. 7917-7932 - Cencheng Shen, Qizhe Wang, Carey E. Priebe:
One-Hot Graph Encoder Embedding. 7933-7938 - Yin Li, Miao Liu, James M. Rehg:
In the Eye of the Beholder: Gaze and Actions in First Person Video. 6731-6747 - Roberto Martín-Martín, Mihir Patel, Hamid Rezatofighi, Abhijeet Shenoi, JunYoung Gwak, Eric Frankel, Amir Sadeghian, Silvio Savarese:
JRDB: A Dataset and Benchmark of Egocentric Robot Visual Perception of Humans in Built Environments. 6748-6765
Volume 45, Number 7, July 2023
- Anjing Guo, Renwei Dian, Shutao Li:
A Deep Framework for Hyperspectral Image Fusion Between Different Satellites. 7939-7954 - Xuefei Ning, Yin Zheng, Zixuan Zhou, Tianchen Zhao, Huazhong Yang, Yu Wang:
A Generic Graph-Based Neural Architecture Encoding Scheme With Multifaceted Information. 7955-7969 - Chulun Zhou, Yunlong Liang, Fandong Meng, Jie Zhou, Jinan Xu, Hongji Wang, Min Zhang, Jinsong Su:
A Multi-Task Multi-Stage Transitional Training Framework for Neural Chat Translation. 7970-7985 - Li Yan, Pengcheng Wei, Hong Xie, Jicheng Dai, Hao Wu, Ming Huang:
A New Outlier Removal Strategy Based on Reliability of Correspondence Graph for Fast Point Cloud Registration. 7986-8002 - Wei Gao, Songlin Fan, Ge Li, Weisi Lin:
A Thorough Benchmark and a New Model for Light Field Saliency Detection. 8003-8019 - Hong-Yu Zhou, Chixiang Lu, Chaoqi Chen, Sibei Yang, Yizhou Yu:
A Unified Visual Information Preservation Framework for Self-supervised Pre-Training in Medical Image Analysis. 8020-8035 - Xiuwen Gong, Dong Yuan, Wei Bao, Fulin Luo:
A Unifying Probabilistic Framework for Partially Labeled Data Learning. 8036-8048 - Xingping Dong, Jianbing Shen, Fatih Porikli, Jiebo Luo, Ling Shao:
Adaptive Siamese Tracking With a Compact Latent Network. 8049-8062 - Jianxin Li, Qingyun Sun, Hao Peng, Beining Yang, Jia Wu, Philip S. Yu:
Adaptive Subgraph Neural Network With Reinforced Critical Structure Mining. 8063-8080 - Kevin P. Nguyen, Alex H. Treacher, Albert Montillo:
Adversarially-Regularized Mixed Effects Deep Learning (ARMED) Models Improve Interpretability, Performance, and Generalization on Clustered (non-iid) Data. 8081-8093 - Xiong Zhou, Xianming Liu, Deming Zhai, Junjun Jiang, Xiangyang Ji:
Asymmetric Loss Functions for Noise-Tolerant Learning: Theory and Applications. 8094-8109 - Changming Zhao, Dongrui Wu, Jian Huang, Ye Yuan, Hai-Tao Zhang, Ruimin Peng, Zhenhua Shi:
BoostTree and BoostForest for Ensemble Learning. 8110-8126 - Yajing Zheng, Lingxiao Zheng, Zhaofei Yu, Tie-Jun Huang, Song Wang:
Capture the Moment: High-Speed Imaging With Spiking Cameras Through Short-Term Plasticity. 8127-8142 - Xin Ding, Yongwei Wang, Zuheng Xu, William J. Welch, Z. Jane Wang:
Continuous Conditional Generative Adversarial Networks: Novel Empirical Losses and Label Input Mechanisms. 8143-8158 - Juhong Min, Seungwook Kim, Minsu Cho:
Convolutional Hough Matching Networks for Robust and Efficient Visual Correspondence. 8159-8175 - Yujing Wang, Yaming Yang, Zhuo Li, Jiangang Bai, Mingliang Zhang, Xiangtai Li, Jing Yu, Ce Zhang, Gao Huang, Yunhai Tong:
Convolution-Enhanced Evolving Attention Networks. 8176-8192 - Ziyue Zhu, Zhao Zhang, Zheng Lin, Xing Sun, Ming-Ming Cheng:
Co-Salient Object Detection With Co-Representation Purification. 8193-8205 - Zhu Sun, Hui Fang, Jie Yang, Xinghua Qu, Hongyang Liu, Di Yu, Yew-Soon Ong, Jie Zhang:
DaisyRec 2.0: Benchmarking Recommendation for Rigorous Evaluation. 8206-8226 - Denis Coquenet, Clément Chatelain, Thierry Paquet:
DAN: A Segmentation-Free Document Attention Network for Handwritten Document Recognition. 8227-8243 - Junjie Hu, Chenyu Bao, Mete Ozay, Chenyou Fan, Qing Gao, Honghai Liu, Tin Lun Lam:
Deep Depth Completion From Extremely Sparse Data: A Survey. 8244-8264 - Wenzhao Zheng, Jiwen Lu, Jie Zhou:
Deep Metric Learning With Adaptively Composite Dynamic Constraints. 8265-8283 - Chengyang Li, Heng Zhou, Yang Liu, Caidong Yang, Yongqiang Xie, Zhongbo Li, Liping Zhu:
Detection-Friendly Dehazing: Object Detection in Real-World Hazy Scenes. 8284-8295 - Tianfei Zhou, Yi Yang, Wenguan Wang:
Differentiable Multi-Granularity Human Parsing. 8296-8310 - Brais Cancela, Verónica Bolón-Canedo, Amparo Alonso-Betanzos:
E2E-FS: An End-to-End Feature Selection Method for Neural Networks. 8311-8323 - Zhe Liu, Tengteng Huang, Bingling Li, Xiwu Chen, Xi Wang, Xiang Bai:
EPNet++: Cascade Bi-Directional Fusion for Multi-Modal 3D Object Detection. 8324-8341 - Xiangyu Zhu, Hongyan Fei, Bin Zhang, Tianshuo Zhang, Xiaoyu Zhang, Stan Z. Li, Zhen Lei:
Face Forgery Detection by 3D Decomposition and Composition Search. 8342-8357 - Yanming Zhu, Xuefei Yin, Jiankun Hu:
FingerGAN: A Constrained Fingerprint Generation Scheme for Latent Fingerprint Enhancement. 8358-8371 - Zelin Zhang, Anthony J. Yezzi, Guillermo Gallego:
Formulating Event-Based Image Reconstruction as a Linear Inverse Problem With Deep Regularization Using Optical Flow. 8372-8389 - Dimitrios Mallis, Enrique Sánchez-Lozano, Matthew Bell, Georgios Tzimiropoulos:
From Keypoints to Object Landmarks via Self-Training Correspondence: A Novel Approach to Unsupervised Landmark Discovery. 8390-8404 - Yuqi Ding, Zhong Li, Zhang Chen, Yu Ji, Jingyi Yu, Jinwei Ye:
Full-Volume 3D Fluid Flow Reconstruction With Light Field PIV. 8405-8418 - Zheng Lian, Lan Chen, Licai Sun, Bin Liu, Jianhua Tao:
GCNet: Graph Completion Network for Incomplete Multimodal Learning in Conversation. 8419-8432 - Da Chen, Jean-Marie Mirebeau, Minglei Shu, Xue-Cheng Tai, Laurent D. Cohen:
Geodesic Models With Convexity Shape Prior. 8433-8452 - Jian-Nan Su, Min Gan, Guang-Yong Chen, Jia-Li Yin, C. L. Philip Chen:
Global Learnable Attention for Single Image Super-Resolution. 8453-8465 - Feihu Huang, Shangqian Gao:
Gradient Descent Ascent for Minimax Problems on Riemannian Manifolds. 8466-8476 - Shuai Li, Xinxue He, Wenfeng Song, Aimin Hao, Hong Qin:
Graph Diffusion Convolutional Network for Skeleton Based Semantic Recognition of Two-Person Actions. 8477-8493 - Yong-Lu Li, Xinpeng Liu, Xiaoqian Wu, Yizhuo Li, Zuoyu Qiu, Liang Xu, Yue Xu, Haoshu Fang, Cewu Lu:
HAKE: A Knowledge Engine Foundation for Human Activity Understanding. 8494-8506 - Xin Chen, Bin Yan, Jiawen Zhu, Huchuan Lu, Xiang Ruan, Dong Wang:
High-Performance Transformer Tracking. 8507-8523 - Yanyuan Qiao, Yuankai Qi, Yicong Hong, Zheng Yu, Peng Wang, Qi Wu:
HOP+: History-Enhanced and Order-Aware Pre-Training for Vision-and-Language Navigation. 8524-8537 - Tran Thien Dat Nguyen, Hamid Rezatofighi, Ba-Ngu Vo, Ba-Tuong Vo, Silvio Savarese, Ian D. Reid:
How Trustworthy are Performance Evaluations for Basic Vision Tasks? 8538-8552 - Jin Han, Yixin Yang, Peiqi Duan, Chu Zhou, Lei Ma, Chao Xu, Tie-Jun Huang, Imari Sato, Boxin Shi:
Hybrid High Dynamic Range Imaging fusing Neuromorphic and Conventional Images. 8553-8565 - Xinwang Liu:
Hyperparameter-Free Localized Simple Multiple Kernel K-means With Global Optimum. 8566-8576 - Tinglei Feng, Yingjie Zhai, Jufeng Yang, Jie Liang, Deng-Ping Fan, Jing Zhang, Ling Shao, Dacheng Tao:
IC9600: A Benchmark Dataset for Automatic Image Complexity Assessment. 8577-8593 - Shiyin Zhang, Shikui Wei, Jun Hao Liew, Kunyang Han, Yao Zhao, Yunchao Wei:
Interactive Object Segmentation With Inside-Outside Guidance. 8594-8605 - Sorawit Saengkyongam, Nikolaj Thams, Jonas Peters, Niklas Pfister:
Invariant Policy Learning: A Causal Perspective. 8606-8620 - Weijiang Yu, Haofan Wang, Guohao Li, Nong Xiao, Bernard Ghanem:
Knowledge-Aware Global Reasoning for Situation Recognition. 8621-8633 - Tengpeng Li, Hanli Wang, Bin He, Chang Wen Chen:
Knowledge-Enriched Attention Network With Group-Wise Semantic for Visual Storytelling. 8634-8645 - Tianrui Hui, Si Liu, Zihan Ding, Shaofei Huang, Guanbin Li, Wenguan Wang, Luoqi Liu, Jizhong Han:
Language-Aware Spatial-Temporal Collaboration for Referring Video Segmentation. 8646-8659 - Lei Yu, Xiang Zhang, Wei Liao, Wen Yang, Gui-Song Xia:
Learning to See Through With Events. 8660-8678 - Zhe Cui, Jianjiang Feng, Jie Zhou:
Monocular 3D Fingerprint Reconstruction and Unwarping. 8679-8695 - Naoki Masuyama, Yusuke Nojima, Chu Kiong Loo, Hisao Ishibuchi:
Multi-Label Classification via Adaptive Resonance Theory-Based Clustering. 8696-8712 - Yu-Jie Yuan, Yu-Kun Lai, Yihua Huang, Leif Kobbelt, Lin Gao:
Neural Radiance Fields From Sparse RGB-D Images for High-Quality View Synthesis. 8713-8728 - Hongyuan Zhang, Jiankun Shi, Rui Zhang, Xuelong Li:
Non-Graph Data Clustering via $\mathcal {O}(n)$O(n) Bipartite Graph Convolution. 8729-8742 - Lu Qi, Jason Kuen, Yi Wang, Jiuxiang Gu, Hengshuang Zhao, Philip H. S. Torr, Zhe Lin, Jiaya Jia:
Open World Entity Segmentation. 8743-8756 - Zhun-ga Liu, Yimin Fu, Quan Pan, Zuowei Zhang:
Orientational Distribution Learning With Hierarchical Spatial Attention for Open Set Recognition. 8757-8772 - Yue Song, Nicu Sebe, Wei Wang:
Orthogonal SVD Covariance Conditioning and Latent Disentanglement. 8773-8786 - Weikai Li, Songcan Chen:
Partial Domain Adaptation Without Domain Alignment. 8787-8797 - Jinyu Zhao, Yusuke Monno, Masatoshi Okutomi:
Polarimetric Multi-View Inverse Rendering. 8798-8812 - Ziwei Wang, Changyuan Wang, Xiuwei Xu, Jie Zhou, Jiwen Lu:
Quantformer: Learning Extremely Low-Precision Vision Transformers. 8813-8826 - Linshan Wu, Leyuan Fang, Xingxin He, Min He, Jiayi Ma, Zhun Zhong:
Querying Labeled for Unlabeled: Cross-Image Semantic Consistency Guided Semi-Supervised Semantic Segmentation. 8827-8844 - Jun Liu, Ryan Wen Liu, Jianing Sun, Tieyong Zeng:
Rank-One Prior: Real-Time Scene Recovery. 8845-8860 - Xiao Li, Ziqi Wang, Bo Zhang, Fuchun Sun, Xiaolin Hu:
Recognizing Object by Components With Human Prior Knowledge Enhances Adversarial Robustness of Deep Neural Networks. 8861-8873 - Yuming Jiang, Kelvin C. K. Chan, Xintao Wang, Chen Change Loy, Ziwei Liu:
Reference-Based Image and Video Super-Resolution via $C^{2}$-Matching. 8874-8887 - Zhi-Lin Zhao, Longbing Cao, Kun-Yu Lin:
Revealing the Distributional Vulnerability of Discriminators by Implicit Generators. 8888-8901 - Lin Gao, Jia-Mu Sun, Kaichun Mo, Yu-Kun Lai, Leonidas J. Guibas, Jie Yang:
SceneHGN: Hierarchical Graph Networks for 3D Indoor Scene Generation With Fine-Grained Geometry. 8902-8919 - Jie Cao, Mandi Luo, Junchi Yu, Ming-Hsuan Yang, Ran He:
ScoreMix: A Scalable Augmentation Strategy for Training GANs With Limited Data. 8920-8935 - Xiu Su, Shan You, Jiyang Xie, Fei Wang, Chen Qian, Changshui Zhang, Chang Xu:
Searching for Network Width With Bilaterally Coupled Network. 8936-8953 - Qianyu Zhou, Qiqi Gu, Jiangmiao Pang, Xuequan Lu, Lizhuang Ma:
Self-Adversarial Disentangling for Specific Domain Adaptation. 8954-8968 - Yasamin Jafarian, Hyun Soo Park:
Self-Supervised 3D Representation Learning of Dressed Humans From Social Media Videos. 8969-8983 - Xin Chen, Xue-mei Hu, Tao Yue:
Semi-Blindly Enhancing Extremely Noisy Videos With Recurrent Spatio-Temporal Large-Span Network. 8984-9003 - Binhui Xie, Shuang Li, Mingjia Li, Chi Harold Liu, Gao Huang, Guoren Wang:
SePiCo: Semantic-Guided Pixel Contrast for Domain Adaptive Semantic Segmentation. 9004-9021 - Wuyang Li, Xinyu Liu, Yixuan Yuan:
SIGMA++: Improved Semantic-Complete Graph Matching for Domain Adaptive Object Detection. 9022-9040 - Xingxing Wei, Ying Guo, Jie Yu, Bo Zhang:
Simultaneously Optimizing Perturbations and Positions for Black-Box Adversarial Patch Attacks. 9041-9054 - Jianqiang Wang, Dandan Ding, Zhu Li, Xiaoxing Feng, Chuntong Cao, Zhan Ma:
Sparse Tensor-Based Multiscale Representation for Point Cloud Geometry Compression. 9055-9071 - Lishun Wang, Miao Cao, Yong Zhong, Xin Yuan:
Spatial-Temporal Transformer for Video Snapshot Compressive Imaging. 9072-9089 - Marija Jegorova, Chaitanya Kaul, Charlie Mayor, Alison Q. O'Neil, Alexander Weir, Roderick Murray-Smith, Sotirios A. Tsaftaris:
Survey: Leakage and Privacy at Inference Time. 9090-9108 - Meng Meng, Tianzhu Zhang, Zhe Zhang, Yongdong Zhang, Feng Wu:
Task-Aware Weakly Supervised Object Localization With Transformer. 9109-9121 - Praveen Krishnan, Rama Kovvuri, Guan Pang, Boris Vassilev, Tal Hassner:
TextStyleBrush: Transfer of Text Aesthetics From a Single Example. 9122-9134 - Chaoyou Fu, Xiaoqiang Zhou, Weizan He, Ran He:
Towards Lightweight Pixel-Wise Hallucination for Heterogeneous Face Recognition. 9135-9148 - Hongfu Liu, Junxiang Chen, Jennifer G. Dy, Yun Fu:
Transforming Complex Problems Into K-Means Solutions. 9149-9168 - Zhuosheng Zhang, Kehai Chen, Rui Wang, Masao Utiyama, Eiichiro Sumita, Zuchao Li, Hai Zhao:
Universal Multimodal Representation for Language Understanding. 9169-9185 - Chunhui Zhang, Guanjie Huang, Li Liu, Shan Huang, Yinan Yang, Xiang Wan, Shiming Ge, Dacheng Tao:
WebUAV-3M: A Benchmark for Unveiling the Power of Million-Scale Deep UAV Tracking. 9186-9205 - Xinzhe Luo, Xiahai Zhuang:
$\mathcal {X}$-Metric: An N-Dimensional Information-Theoretic Framework for Groupwise Registration and Deep Combined Computing. 9206-9224 - Yuhui Xu, Lingxi Xie, Cihang Xie, Wenrui Dai, Jieru Mei, Siyuan Qiao, Wei Shen, Hongkai Xiong, Alan L. Yuille:
BNET: Batch Normalization With Enhanced Linear Transformation. 9225-9232 - Chin-Chun Chang:
Fisher's Linear Discriminant Analysis With Space-Folding Operations. 9233-9240 - Shuyang Sun, Xiaoyu Yue, Hengshuang Zhao, Philip H. S. Torr, Song Bai:
Patch-Based Separable Transformer for Visual Recognition. 9241-9247 - Yongtuo Liu, Sucheng Ren, Liangyu Chai, Hanjie Wu, Dan Xu, Jing Qin, Shengfeng He:
Reducing Spatial Labeling Redundancy for Active Semi-Supervised Crowd Counting. 9248-9255 - Namgil Kim, Barom Kang, Yeonok Cho:
Split-GCN: Effective Interactive Annotation for Segmentation of Disconnected Instance. 9256-9263
Volume 45, Number 8, August 2023
- Pei Wang, Nuno Vasconcelos:
A Generalized Explanation Framework for Visualization of Deep Learning Model Predictions. 9265-9283 - Wei Shen, Zelin Peng, Xuehui Wang, Huayu Wang, Jiazhong Cen, Dongsheng Jiang, Lingxi Xie, Xiaokang Yang, Qi Tian:
A Survey on Label-Efficient Deep Image Segmentation: Bridging the Gap Between Weak Supervision and Dense Prediction. 9284-9305 - Chenping Hou, Ruidong Fan, Ling-Li Zeng, Dewen Hu:
Adaptive Feature Selection With Augmented Attributes. 9306-9324 - Xiaotong Lu, Weisheng Dong, Xin Li, Jinjian Wu, Leida Li, Guangming Shi:
Adaptive Search-and-Training for Robust and Efficient Network Pruning. 9325-9338 - Yiting Cheng, Fangyun Wei, Jianmin Bao, Dong Chen, Wenqiang Zhang:
ADPL: Adaptive Dual Path Learning for Domain Adaptation of Semantic Segmentation. 9339-9356 - Yongqiang Tang, Yuan Xie, Wensheng Zhang:
Affine Subspace Robust Low-Rank Self-Representation: From Matrix to Tensor. 9357-9373 - Mingqiang Wei, Zeyong Wei, Haoran Zhou, Fei Hu, Huajian Si, Zhilei Chen, Zhe Zhu, Jingbo Qiu, Xuefeng Yan, Yanwen Guo, Jun Wang, Jing Qin:
AGConv: Adaptive Graph Convolution on 3D Point Clouds. 9374-9392 - Man Yao, Guangshe Zhao, Hengyu Zhang, Yifan Hu, Lei Deng, Yonghong Tian, Bo Xu, Guoqi Li:
Attention Spiking Neural Networks. 9393-9410 - Jinshan Pan, Boming Xu, Haoran Bai, Jinhui Tang, Ming-Hsuan Yang:
Cascaded Deep Video Deblurring Using Temporal Sharpness Prior and Non-Local Spatial-Temporal Similarity. 9411-9425 - Danni Peng, Sinno Jialin Pan:
Clustered Task-Aware Meta-Learning by Learning From Learning Paths. 9426-9438 - Ce Wang, Bin He, Shengsen Wu, Renjie Wan, Boxin Shi, Ling-Yu Duan:
Coarse-to-fine Disentangling Demoiréing Framework for Recaptured Screen Images. 9439-9453 - Zhiliang Peng, Zonghao Guo, Wei Huang, Yaowei Wang, Lingxi Xie, Jianbin Jiao, Qi Tian, Qixiang Ye:
Conformer: Local Features Coupling Global Representations for Recognition and Detection. 9454-9468 - Zhigang Tu, Zhisheng Huang, Yujin Chen, Di Kang, Linchao Bao, Bisheng Yang, Junsong Yuan:
Consistent 3D Hand Reconstruction in Video via Self-Supervised Learning. 9469-9485 - Mantang Guo, Junhui Hou, Jing Jin, Hui Liu, Huanqiang Zeng, Jiwen Lu:
Content-Aware Warping for View Synthesis. 9486-9503 - Zixin Zhu, Le Wang, Wei Tang, Nanning Zheng, Gang Hua:
ContextLoc++: A Unified Context Model for Temporal Action Localization. 9504-9519 - Dongkai Wang, Shiliang Zhang:
Contextual Instance Decoupling for Instance-Level Human Analysis. 9520-9533 - Xueyang Fu, Jie Xiao, Yurui Zhu, Aiping Liu, Feng Wu, Zheng-Jun Zha:
Continual Image Deraining With Hypergraph Convolutional Networks. 9534-9551 - Jiyuan Liu, Xinwang Liu, Yuexiang Yang, Qing Liao, Yuanqing Xia:
Contrastive Multi-View Kernel Learning. 9552-9566 - Niccolo Biondi, Federico Pernici, Matteo Bruni, Alberto Del Bimbo:
CoReS: Compatible Representations via Stationarity. 9567-9582 - Mingye Xu, Yali Wang, Yihao Liu, Tong He, Yu Qiao:
CP3: Unifying Point Cloud Completion by Pretrain-Prompt-Predict Paradigm. 9583-9594 - Peng Hu, Zhenyu Huang, Dezhong Peng, Xu Wang, Xi Peng:
Cross-Modal Retrieval With Partially Mismatched Pairs. 9595-9610 - Qunliang Xing, Mai Xu, Xin Deng, Yichen Guo:
DAQE: Enhancing the Quality of Compressed Images by Exploiting the Inherent Characteristic of Defocus. 9611-9626 - Dong Liu, Junwu Wang, Qianxue Shan, Danny Smyl, Jiansong Deng, Jiangfeng Du:
DeepEIT: Deep Image Prior Enabled Electrical Impedance Tomography. 9627-9638 - Qingqiang Chen, Fuyuan Cao, Ying Xing, Jiye Liang:
Evaluating Classification Model Against Bayes Error Rate. 9639-9653 - Jianjin Xu, Zhaoxiang Zhang, Xiaolin Hu:
Extracting Semantic Knowledge From GANs With Unsupervised Learning. 9654-9668 - Felix Mohr, Jan N. van Rijn:
Fast and Informative Model Selection Using Learning Curve Cross-Validation. 9669-9680 - Yuxin Yao, Bailin Deng, Weiwei Xu, Juyong Zhang:
Fast and Robust Non-Rigid Registration Using Accelerated Majorization-Minimization. 9681-9698 - Shenglong Zhou, Geoffrey Ye Li:
Federated Learning Via Inexact ADMM. 9699-9708 - Qing-Qing Zhang, Shaowu Zhang, Yue-Hua Feng, Jian-Yu Shi:
Few-Shot Drug Synergy Prediction With a Prior-Guided Hypernetwork Architecture. 9709-9725 - Qijian Zhang, Junhui Hou, Yue Qian, Yiming Zeng, Juyong Zhang, Ying He:
Flattening-Net: Deep Regular 2D Representation for 3D Point Cloud Analysis. 9726-9742 - Michail Christos Doukas, Evangelos Ververas, Viktoriia Sharmanska, Stefanos Zafeiriou:
Free-HeadGAN: Neural Talking Head Synthesis With Explicit Gaze Control. 9743-9756 - Yuexuan An, Hui Xue, Xingyu Zhao, Jing Wang:
From Instance to Metric Calibration: A Unified Framework for Open-World Few-Shot Learning. 9757-9773 - Chen Wu, Bo Du, Liangpei Zhang:
Fully Convolutional Change Detection Framework With Generative Adversarial Network for Unsupervised, Weakly Supervised and Regional Supervised Change Detection. 9774-9788 - Xinzhe Han, Shuhui Wang, Chi Su, Qingming Huang, Qi Tian:
General Greedy De-Bias Learning. 9789-9805 - Zheng Qin, Hao Yu, Changjian Wang, Yulan Guo, Yuxing Peng, Slobodan Ilic, Dewen Hu, Kai Xu:
GeoTransformer: Fast and Robust Point Cloud Registration With Geometric Transformer. 9806-9821 - Junbo Yin, Jianbing Shen, Xin Gao, David J. Crandall, Ruigang Yang:
Graph Neural Network and Spatiotemporal Transformer Attention for 3D Video Object Detection From Point Clouds. 9822-9835 - Onder Tutsoy:
Graph Theory Based Large-Scale Machine Learning With Multi-Dimensional Constrained Optimization Approaches for Exact Epidemiological Modeling of Pandemic Diseases. 9836-9845 - Xiaoqing Guo, Jie Liu, Tongliang Liu, Yixuan Yuan:
Handling Open-Set Noise and Novel Target Recognition in Domain Adaptive Semantic Segmentation. 9846-9861 - Brian B. Moser, Federico Raue, Stanislav Frolov, Sebastian Palacio, Jörn Hees, Andreas Dengel:
Hitchhiker's Guide to Super-Resolution: Introduction and Recent Advances. 9862-9882 - Weichuan Zhang, Changming Sun, Yongsheng Gao:
Image Intensity Variation Information for Interest Point Detection. 9883-9894 - Sida Peng, Chen Geng, Yuanqing Zhang, Yinghao Xu, Qianqian Wang, Qing Shuai, Xiaowei Zhou, Hujun Bao:
Implicit Neural Representations With Structured Latent Codes for Human Body Modeling. 9895-9907 - Ruihan Yang, Yibo Yang, Joseph Marino, Stephan Mandt:
Insights From Generative Modeling for Neural Video Compression. 9908-9921 - Guan-Lin Chen, Chih-Chung Hsu:
Jointly Defending DeepFake Manipulation and Adversarial Attack Using Decoy Mechanism. 9922-9931 - Weiqing Min, Zhiling Wang, Yuxin Liu, Mengjiang Luo, Liping Kang, Xiaoming Wei, Xiaolin Wei, Shuqiang Jiang:
Large Scale Visual Food Recognition. 9932-9949 - Han Zhang, Feiping Nie, Xuelong Li:
Large-Scale Clustering With Structured Optimal Bipartite Graph. 9950-9963 - Jiangchao Yao, Bo Han, Zhihan Zhou, Ya Zhang, Ivor W. Tsang:
Latent Class-Conditional Noise Model. 9964-9980 - Pierluigi Zama Ramirez, Adriano Cardace, Luca De Luigi, Alessio Tonioni, Samuele Salti, Luigi Di Stefano:
Learning Good Features to Transfer Across Tasks and Domains. 9981-9995 - Shaojie Li, Yong Liu:
Learning Rates for Nonconvex Pairwise Learning. 9996-10011 - Jianfeng Zhang, Kehong Gong, Xinchao Wang, Jiashi Feng:
Learning to Augment Poses for 3D Human Pose Estimation in Images and Videos. 10012-10026 - Lei Yu, Bishan Wang, Xiang Zhang, Haijian Zhang, Wen Yang, Jianzhuang Liu, Gui-Song Xia:
Learning to Super-Resolve Blurry Images With Events. 10027-10043 - Mingzhen He, Fan He, Lei Shi, Xiaolin Huang, Johan A. K. Suykens:
Learning With Asymmetric Kernels: Least Squares and Feature Interpretation. 10044-10054 - Chen Liang, Wenguan Wang, Tianfei Zhou, Jiaxu Miao, Yawei Luo, Yi Yang:
Local-Global Context Aware Transformer for Language-Guided Video Segmentation. 10055-10069 - Zhaohui Zheng, Rongguang Ye, Qibin Hou, Dongwei Ren, Ping Wang, Wangmeng Zuo, Ming-Ming Cheng:
Localization Distillation for Object Detection. 10070-10083 - Manolis C. Tsakiris:
Low-Rank Matrix Completion Theory via Plücker Coordinates. 10084-10099 - HanQin Cai, Longxiu Huang, Pengyu Li, Deanna Needell:
Matrix Completion With Cross-Concentrated Sampling: Bridging Uniform Sampling and CUR Sampling. 10100-10113 - Zhihua Wang, Keshuo Xu, Yang Yang, Jianlei Dong, Shuhang Gu, Lihao Xu, Yuming Fang, Kede Ma:
Measuring Perceptual Color Differences of Smartphone Photographs. 10114-10128 - Bohan Yu, Siqi Yang, Xuanning Cui, Siyan Dong, Baoquan Chen, Boxin Shi:
MILO: Multi-Bounce Inverse Rendering for Indoor Scene With Light-Emitting Objects. 10129-10142 - Enrico De Santis, Giovanni De Santis, Antonello Rizzi:
Multifractal Characterization of Texts for Pattern Recognition: On the Complexity of Morphological Structures in Modern and Ancient Languages. 10143-10160 - Daqi Liu, Miroslaw Bober, Josef Kittler:
Neural Belief Propagation for Scene Graph Generation. 10161-10172 - Lei Huang, Jie Qin, Yi Zhou, Fan Zhu, Li Liu, Ling Shao:
Normalization Techniques in Training DNNs: Methodology, Analysis and Application. 10173-10196 - Lei Ke, Yu-Wing Tai, Chi-Keung Tang:
Occlusion-Aware Instance Segmentation Via BiLayer Network Architectures. 10197-10211 - Chuanguang Yang, Zhulin An, Helong Zhou, Fuzhen Zhuang, Yongjun Xu, Qian Zhang:
Online Knowledge Distillation via Mutual Contrastive Learning for Visual Recognition. 10212-10227 - Zhiyong Yang, Qianqian Xu, Shilong Bao, Yuan He, Xiaochun Cao, Qingming Huang:
Optimizing Two-Way Partial AUC With an End-to-End Framework. 10228-10246 - Prune Truong, Martin Danelljan, Radu Timofte, Luc Van Gool:
PDC-Net+: Enhanced Probabilistic Dense Correspondence Network. 10247-10266 - Hancheng Ye, Bo Zhang, Tao Chen, Jiayuan Fan, Bin Wang:
Performance-Aware Approximation of Global Channel Pruning for Multitask CNNs. 10267-10284 - Shengyu Zhang, Fuli Feng, Kun Kuang, Wenqiao Zhang, Zhou Zhao, Hongxia Yang, Tat-Seng Chua, Fei Wu:
Personalized Latent Structure Learning for Recommendation. 10285-10299 - Fabio Pizzati, Pietro Cerri, Raoul de Charette:
Physics-Informed Guided Disentanglement in Generative Networks. 10300-10316 - Rui Yan, Lingxi Xie, Xiangbo Shu, Liyan Zhang, Jinhui Tang:
Progressive Instance-Aware Feature Learning for Compositional Action Recognition. 10317-10330 - Haoran Sun, Dong Wang, Lantian Li, Chen Chen, Thomas Fang Zheng:
Random Cycle Loss and Its Application to Voice Conversion. 10331-10345 - Ozan Özdenizci, Robert Legenstein:
Restoring Vision in Adverse Weather Conditions With Patch-Based Denoising Diffusion Models. 10346-10357 - Jiahao Xia, Min Xu, Haimin Zhang, Jianguo Zhang, Wenjian Huang, Hu Cao, Shiping Wen:
Robust Face Alignment via Inherent Relation Learning and Uncertainty Estimation. 10358-10375 - Haiping Wang, Yuan Liu, Qingyong Hu, Bing Wang, Jianguo Chen, Zhen Dong, Yulan Guo, Wenping Wang, Bisheng Yang:
RoReg: Pairwise Point Cloud Registration With Oriented Descriptors and Local Rotations. 10376-10393 - Lin Sui, Chen-Lin Zhang, Jianxin Wu:
Salvage of Supervision in Weakly Supervised Object Detection and Segmentation. 10394-10408 - Meng Ye, Dong Yang, Qiaoying Huang, Mikael Kanski, Leon Axel, Dimitris N. Metaxas:
SequenceMorph: A Unified Unsupervised Learning Framework for Motion Tracking on Cardiac Image Sequences. 10409-10426 - Ling-Li Zeng, Kai Gao, Dewen Hu, Zhichao Feng, Chenping Hou, Pengfei Rong, Wei Wang:
SS-TBN: A Semi-Supervised Tri-Branch Network for COVID-19 Screening and Lesion Segmentation. 10427-10442 - Hao Zhang, Aixin Sun, Wei Jing, Joey Tianyi Zhou:
Temporal Sentence Grounding in Videos: A Survey and Future Directions. 10443-10465 - Sajjad Karimi, Mohammad Bagher Shamsollahi:
Tractable Maximum Likelihood Estimation for Latent Structure Influence Models With Applications to EEG & ECoG Processing. 10466-10477 - Mingbao Lin, Bohong Chen, Fei Chao, Rongrong Ji:
Training Compact CNNs for Image Classification Using Dynamic-Coded Filter Fusion. 10478-10487 - Chaoyue Song, Jiacheng Wei, Ruibo Li, Fayao Liu, Guosheng Lin:
Unsupervised 3D Pose Transfer With Cross Consistency and Dual Reconstruction. 10488-10499 - Runzhong Wang, Junchi Yan, Xiaokang Yang:
Unsupervised Learning of Graph Matching With Mixture of Modes via Discrepancy Minimization. 10500-10518 - Yufei Cui, Yu Mao, Ziquan Liu, Qiao Li, Antoni B. Chan, Xue (Steve) Liu, Tei-Wei Kuo, Chun Jason Xue:
Variational Nested Dropout. 10519-10534 - Xingchen Zhang, Yiannis Demiris:
Visible and Infrared Image Fusion Using Deep Learning. 10535-10554 - Zhihui Li, Pengfei Xu, Xiaojun Chang, Luyao Yang, Yuanyuan Zhang, Lina Yao, Xiaojiang Chen:
When Object Detection Meets Knowledge Distillation: A Survey. 10555-10579 - Yalong Bai, Mohan Zhou, Wei Zhang, Bowen Zhou, Tao Mei:
Augmentation Pathways Network for Visual Recognition. 10580-10587 - Doruk Öner, Adélie Garin, Mateusz Kozinski, Kathryn Hess, Pascal Fua:
Persistent Homology With Improved Locality Information for More Effective Delineation. 10588-10595 - Jiamin Liu, Wangli Xu, Fode Zhang, Heng Lian:
Properties of Standard and Sketched Kernel Fisher Discriminant. 10596-10602
Volume 45, Number 9, September 2023
- Yannick Hold-Geoffroy, Dominique Piché-Meunier, Kalyan Sunkavalli, Jean-Charles Bazin, François Rameau, Jean-François Lalonde:
A Perceptual Measure for Deep Single Image Camera and Lens Calibration. 10603-10614 - Weiqin Chuah, Ruwan B. Tennakoon, Reza Hoseinnezhad, David Suter, Alireza Bab-Hadiashar:
An Information-Theoretic Method to Automatic Shortcut Avoidance and Domain Generalization for Dense Prediction Tasks. 10615-10631 - Changwei Wang, Rongtao Xu, Ke Lu, Shibiao Xu, Weiliang Meng, Yuyang Zhang, Bin Fan, Xiaopeng Zhang:
Attention Weighted Local Descriptors. 10632-10649 - Wei Gao, Xu Zhang, Shangwei Guo, Tianwei Zhang, Tao Xiang, Han Qiu, Yonggang Wen, Yang Liu:
Automatic Transformation Search Against Deep Leakage From Gradients. 10650-10668 - Chunbo Lang, Gong Cheng, Binfei Tu, Chao Li, Junwei Han:
Base and Meta: A New Perspective on Few-Shot Segmentation. 10669-10686 - Kerui Gu, Linlin Yang, Michael Bi Mi, Angela Yao:
Bias-Compensated Integral Regression for Human Pose Estimation. 10687-10702 - Dongjun Liu, Weichen Dai, Hangkui Zhang, Xuanyu Jin, Jianting Cao, Wanzeng Kong:
Brain-Machine Coupled Learning Method for Facial Emotion Recognition. 10703-10717 - Xiao Wang, Yuhang Huang, Dan Zeng, Guo-Jun Qi:
CaCo: Both Positive and Negative Samples are Directly Learnable via Cooperative-Adversarial Contrastive Learning. 10718-10730 - Depeng Li, Zhigang Zeng:
CRNet: A Fast Continual Learning Framework With Random Theory. 10731-10744 - Johannes Wagner, Andreas Triantafyllopoulos, Hagen Wierstorf, Maximilian Schmitt, Felix Burkhardt, Florian Eyben, Björn W. Schuller:
Dawn of the Transformer Era in Speech Emotion Recognition: Closing the Valence Gap. 10745-10759 - Changde Du, Kaicheng Fu, Jinpeng Li, Huiguang He:
Decoding Visual Neural Representations by Multimodal Learning of Brain-Visual-Linguistic Features. 10760-10777 - Tao Huang, Xin Yuan, Weisheng Dong, Jinjian Wu, Guangming Shi:
Deep Gaussian Scale Mixture Prior for Image Reconstruction. 10778-10794 - Yifan Zhang, Bingyi Kang, Bryan Hooi, Shuicheng Yan, Jiashi Feng:
Deep Long-Tailed Learning: A Survey. 10795-10816 - Seung Hwan Bae:
Deformable Part Region Learning and Feature Aggregation Tree Representation for Object Detection. 10817-10834 - Yi Wei, Shaohui Liu, Jie Zhou, Jiwen Lu:
Depth-Guided Optimization of Neural Radiance Fields for Indoor Multi-View Stereo. 10835-10849 - Florinel-Alin Croitoru, Vlad Hondru, Radu Tudor Ionescu, Mubarak Shah:
Diffusion Models in Vision: A Survey. 10850-10869 - Ting Yao, Yehao Li, Yingwei Pan, Yu Wang, Xiao-Ping Zhang, Tao Mei:
Dual Vision Transformer. 10870-10882 - Yongming Rao, Zuyan Liu, Wenliang Zhao, Jie Zhou, Jiwen Lu:
Dynamic Spatial Sparsification for Efficient Vision Transformers and Convolutional Neural Networks. 10883-10897 - Xingxing Wei, Songping Wang, Huanqian Yan:
Efficient Robustness Assessment via Adversarial Spatial-Temporal Focus on Videos. 10898-10912 - Swathikiran Sudhakaran, Sergio Escalera, Oswald Lanz:
Gate-Shift-Fuse for Video Action Recognition. 10913-10928 - Peng Zheng, Huazhu Fu, Deng-Ping Fan, Qi Fan, Jie Qin, Yu-Wing Tai, Chi-Keung Tang, Luc Van Gool:
GCoNet+: A Stronger Group Collaborative Co-Salient Object Detector. 10929-10946 - Jake S. Rhodes, Adele Cutler, Kevin R. Moon:
Geometry- and Accuracy-Preserving Random Forest Proximities. 10947-10959 - Yongming Rao, Wenliang Zhao, Zheng Zhu, Jie Zhou, Jiwen Lu:
GFNet: Global Filter Networks for Visual Recognition. 10960-10973 - Huan Wang, Yulun Zhang, Can Qin, Luc Van Gool, Yun Fu:
Global Aligned Structured Sparsity Learning for Efficient Image Super-Resolution. 10974-10989 - Hailin Wang, Jiangjun Peng, Wenjin Qin, Jianjun Wang, Deyu Meng:
Guaranteed Tensor Recovery Fused Low-rankness and Smoothness. 10990-11007 - Shengrui Li, Yining Zhao, Jun Zhang, Ting Yu, Ji Zhang, Yue Gao:
High-Order Correlation-Guided Slide-Level Histology Retrieval With Self-Supervised Hashing. 11008-11023 - Jinxian Liu, Bingbing Ni, Ye Chen, Zhenbo Yu, Hang Wang:
Learning by Restoring Broken 3D Geometry. 11024-11039 - Hui Li, Tianyang Xu, Xiaojun Wu, Jiwen Lu, Josef Kittler:
LRRNet: A Novel Representation Learning Guided Fusion Network for Infrared and Visible Images. 11040-11052 - Yongshun Gong, Zhibin Li, Wei Liu, Xiankai Lu, Xinwang Liu, Ivor W. Tsang, Yilong Yin:
Missingness-Pattern-Adaptive Learning With Incomplete Data. 11053-11066 - Joshua Melton, Siddharth Krishnan:
muxGNN: Multiplex Graph Neural Network for Heterogeneous Graphs. 11067-11078 - Zhaoxuan Zhang, Xiaoguang Han, Bo Dong, Tong Li, Baocai Yin, Xin Yang:
Point Cloud Scene Completion With Joint Color and Semantic Estimation From Single RGB-D Image. 11079-11095 - Yurong Chen, Yaonan Wang, Hui Zhang:
Prior Image Guided Snapshot Compressive Spectral Imaging. 11096-11107 - Bohong Chen, Mingbao Lin, Rongrong Ji, Liujuan Cao:
Prioritized Subnet Sampling for Resource-Adaptive Supernet Training. 11108-11119 - Gaojie Wu, Wei-Shi Zheng, Yutong Lu, Qi Tian:
PSLT: A Light-Weight Vision Transformer With Ladder Self-Attention and Progressive Shift. 11120-11135 - Jiayuan Li, Pengcheng Shi, Qingwu Hu, Yongjun Zhang:
QGORE: Quadratic-Time Guaranteed Outlier Removal for Point Cloud Registration. 11136-11151 - Sidharth Maheshwari, Tousif Rahman, Rishad A. Shafik, Alex Yakovlev, Ashur Rafiev, Lei Jiao, Ole-Christoffer Granmo:
REDRESS: Generating Compressed Models for Edge Inference Using Tsetlin Machines. 11152-11168 - Yuren Cong, Michael Ying Yang, Bodo Rosenhahn:
RelTR: Relation Transformer for Scene Graph Generation. 11169-11183 - Liushuai Shi, Le Wang, Chengjiang Long, Sanping Zhou, Wei Tang, Nanning Zheng, Gang Hua:
Representing Multimodal Behaviors With Mean Location for Pedestrian Trajectory Prediction. 11184-11202 - Zikang Yuan, Qingjie Wang, Ken Cheng, Tianyu Hao, Xin Yang:
SDV-LOAM: Semi-Direct Visual-LiDAR Odometry and Mapping. 11203-11220 - Hezhen Hu, Weichao Zhao, Wengang Zhou, Houqiang Li:
SignBERT+: Hand-Model-Aware Self-Supervised Pre-Training for Sign Language Understanding. 11221-11239 - Yadan Luo, Zijian Wang, Zhuoxiao Chen, Zi Huang, Mahsa Baktashmotlagh:
Source-Free Progressive Graph Learning for Open-Set Domain Adaptation. 11240-11255 - Dimosthenis Pasadakis, Matthias Bollhöfer, Olaf Schenk:
Sparse Quadratic Approximation for Graph Learning. 11256-11269 - Fan Lu, Guang Chen, Yinlong Liu, Yibing Zhan, Zhijun Li, Dacheng Tao, Changjun Jiang:
Sparse-to-Dense Matching Network for Large-Scale LiDAR Point Cloud Registration. 11270-11282 - Qin Lu, Konstantinos D. Polyzos, Bingcong Li, Georgios B. Giannakis:
Surrogate Modeling for Bayesian Optimization Beyond a Single Gaussian Process. 11283-11296 - Jiaxu Miao, Yunchao Wei, Xiaohan Wang, Yi Yang:
Temporal Pixel-Level Semantic Understanding Through the VSPW Dataset. 11297-11308 - Andrew R. Cohen, Paul M. B. Vitányi:
The Cluster Structure Function. 11309-11320 - Aoran Xiao, Jiaxing Huang, Dayan Guan, Xiaoqin Zhang, Shijian Lu, Ling Shao:
Unsupervised Point Cloud Representation Learning With Deep Neural Networks: A Survey. 11321-11339 - Liang Pan, Xinyi Chen, Zhongang Cai, Junzhe Zhang, Haiyu Zhao, Shuai Yi, Ziwei Liu:
Variational Relational Point Completion Network for Robust 3D Classification. 11340-11351 - Xin Hong, Yanyan Lan, Liang Pang, Jiafeng Guo, Xueqi Cheng:
Visual Reasoning: From State to Transformation. 11352-11364 - Yanhui Li, Xiangchao Gan:
An Integrated Fast Hough Transform for Multidimensional Data. 11365-11373 - Jianhong Pan, Lin Geng Foo, Qichen Zheng, Zhipeng Fan, Hossein Rahmani, Qiuhong Ke, Jun Liu:
GradMDM: Adversarial Attack on Dynamic Networks. 11374-11381 - Jin Huang, Derek S. Prijatelj, Justin Dulay, Walter J. Scheirer:
Measuring Human Perception to Improve Open Set Recognition. 11382-11389
Volume 45, Number 10, October 2023
- Jianbo Liu, Junjun He, Yuanjie Zheng, Shuai Yi, Xiaogang Wang, Hongsheng Li:
A Holistically-Guided Decoder for Deep Representation Learning With Applications to Semantic Segmentation and Object Detection. 11390-11406 - Yisheng Xiao, Lijun Wu, Junliang Guo, Juntao Li, Min Zhang, Tao Qin, Tie-Yan Liu:
A Survey on Non-Autoregressive Generation for Neural Machine Translation and Beyond. 11407-11427 - Benjia Zhou, Pichao Wang, Jun Wan, Yanyan Liang, Fan Wang:
A Unified Multimodal De- and Re-Coupling Framework for RGB-D Motion Recognition. 11428-11442 - Yinchao Ma, Jianfeng He, Dawei Yang, Tianzhu Zhang, Feng Wu:
Adaptive Part Mining for Robust Visual Tracking. 11443-11457 - Zhe Xu, Kun Wei, Erkun Yang, Cheng Deng, Wei Liu:
Bilateral Relation Distillation for Weakly Supervised Temporal Action Localization. 11458-11471 - Dong Huo, Abbas Masoumzadeh, Rafsanjany Kushol, Yee-Hong Yang:
Blind Image Deconvolution Using Variational Deep Image Prior. 11472-11483 - Dipika Singhania, Rahul Rahaman, Angela Yao:
C2F-TCN: A Framework for Semi- and Fully-Supervised Temporal Action Segmentation. 11484-11501 - Peng Zhou, Lingxi Xie, Bingbing Ni, Qi Tian:
CIPS-3D++: End-to-End Real-Time High-Resolution 3D-Aware GANs for GAN Inversion and Stylization. 11502-11520 - Jun Shu, Xiang Yuan, Deyu Meng, Zongben Xu:
CMW-Net: Learning a Class-Aware Sample Weighting Mapping for Robust Deep Learning. 11521-11539 - Jinyang Yuan, Tonglin Chen, Bin Li, Xiangyang Xue:
Compositional Scene Representation Learning via Reconstruction: A Survey. 11540-11560 - Andrew Shepley, Gregory Falzon, Paul Kwan, Ljiljana Brankovic:
Confluence: A Robust Non-IoU Alternative to Non-Maxima Suppression in Object Detection. 11561-11574 - Chen Xu, Yao Xie:
Conformal Prediction for Time Series. 11575-11587 - Daqi Liu, Miroslaw Bober, Josef Kittler:
Constrained Structure Learning for Scene Graph Generation. 11588-11599 - Zhanglu Yan, Jun Zhou, Weng-Fai Wong:
CQ$^{+}$+ Training: Minimizing Accuracy Loss in Conversion From Convolutional Neural Networks to Spiking Neural Networks. 11600-11611 - Shuojin Yang, Zhanchuan Cai:
Cross Domain Lifelong Learning Based on Task Similarity. 11612-11623 - Yang Liu, Guanbin Li, Liang Lin:
Cross-Modal Causal Relational Reasoning for Event-Level Visual Question Answering. 11624-11641 - Mor Avi-Aharon, Assaf Arbelle, Tammy Riklin Raviv:
Differentiable Histogram Loss Functions for Intensity-based Image-to-Image Translation. 11642-11653 - Xin Li, Haojie Lei, Li Zhang, Mingzhong Wang:
Differentiable Logic Policy for Interpretable Deep Reinforcement Learning: A Study From an Optimization Perspective. 11654-11667 - Yinya Huang, Lemao Liu, Kun Xu, Meng Fang, Liang Lin, Xiaodan Liang:
Discourse-Aware Graph Networks for Textual Logical Reasoning. 11668-11688 - Haotong Qin, Yifu Ding, Xiangguo Zhang, Jiakai Wang, Xianglong Liu, Jiwen Lu:
Diverse Sample Generation: Pushing the Limit of Generative Data-Free Quantization. 11689-11706 - Siyu Huang, Jie An, Donglai Wei, Zudi Lin, Jiebo Luo, Hanspeter Pfister:
Domain-Scalable Unpaired Image Translation via Latent Space Anchoring. 11707-11719 - Yifan Zhao, Tong Zhang, Jia Li, Yonghong Tian:
Dual Adaptive Representation Alignment for Cross-Domain Few-Shot Learning. 11720-11732 - Ruibing Hou, Hong Chang, Bingpeng Ma, Shiguang Shan, Xilin Chen:
Dual Compensation Residual Networks for Class Imbalanced Learning. 11733-11752 - Jing Li, Yuangang Pan, Yueming Lyu, Yinghua Yao, Yulei Sui, Ivor W. Tsang:
Earning Extra Performance From Restrictive Feedbacks. 11753-11765 - Neta Shoham, Haim Avron:
Experimental Design for Overparameterized Learning With Application to Single Shot Deep Active Learning. 11766-11777 - Delin Qu, Bangyan Liao, Huiqing Zhang, Omar Ait-Aider, Yizhen Lao:
Fast Rolling Shutter Correction in the Wild. 11778-11795 - Xu Chen, Tianjian Jiang, Jie Song, Max Rietmann, Andreas Geiger, Michael J. Black, Otmar Hilliges:
Fast-SNARF: A Fast Deformer for Articulated Neural Fields. 11796-11809 - Chenyou Fan, Junjie Hu, Jianwei Huang:
Few-Shot Multi-Agent Perception With Ranking-Based Feature Learning. 11810-11823 - Yuan Zhou, Yanrong Guo, Shijie Hao, Richang Hong, Jiebo Luo:
Few-Shot Partial Multi-View Learning. 11824-11841 - Lingfei Song, Hua Huang:
Fixed Pattern Noise Removal Based on a Semi-Calibration Method. 11842-11855 - Junran Peng, Qing Chang, Haoran Yin, Xingyuan Bu, Jiajun Sun, Lingxi Xie, Xiaopeng Zhang, Qi Tian, Zhaoxiang Zhang:
GAIA-Universe: Everything is Super-Netify. 11856-11868 - Shuai Yang, Liming Jiang, Ziwei Liu, Chen Change Loy:
GP-UNIT: Generative Prior for Versatile Unsupervised Image-to-Image Translation. 11869-11883 - Fan Lu, Guang Chen, Yinlong Liu, Lijun Zhang, Sanqing Qu, Shu Liu, Rongqi Gu, Changjun Jiang:
HRegNet: A Hierarchical Network for Efficient and Accurate Outdoor LiDAR Point Cloud Registration. 11884-11897 - Jiajun Meng, Zhenhua Wang, Kaining Ying, Jianhua Zhang, Dongyan Guo, Zhen Zhang, Javen Qinfeng Shi, Shengyong Chen:
Human Interaction Understanding With Consistency-Aware Learning. 11898-11914 - Chenwang Wu, Defu Lian, Yong Ge, Zhihao Zhu, Enhong Chen:
Influence-Driven Data Poisoning for Robust Recommender Systems. 11915-11931 - Danpei Zhao, Bo Yuan, Zhenwei Shi:
Inherit With Distillation and Evolve With Contrast: Exploring Class Incremental Semantic Segmentation Without Exemplar Memory. 11932-11947 - Sinan Tan, Mengmeng Ge, Di Guo, Huaping Liu, Fuchun Sun:
Knowledge-Based Embodied Question Answering. 11948-11960 - Xiaolong Yang, Xiaohong Jia, Dihong Gong, Dong-Ming Yan, Zhifeng Li, Wei Liu:
LARNeXt: End-to-End Lie Algebra Residual Network for Face Recognition. 11961-11976 - Xiaoxu Feng, Xiwen Yao, Hui Shen, Gong Cheng, Bin Xiao, Junwei Han:
Learning an Invariant and Equivariant Network for Weakly Supervised Object Detection. 11977-11992 - Ahmad Abniki, Hamid Beigy:
Learning Hidden Graphs From Samples. 11993-12003 - Weiyue Zhao, Hao Lu, Xinyi Ye, Zhiguo Cao, Xin Li:
Learning Probabilistic Coordinate Fields for Robust Correspondences. 12004-12021 - Hui Chen, Jingjing Jiang, Nanning Zheng:
Learning to Infer Unseen Single-/ Multi-Attribute-Object Compositions With Graph Networks. 12022-12037 - Francesco Giuliari, Geri Skenderi, Marco Cristani, Alessio Del Bue, Yiming Wang:
Leveraging Commonsense for Object Localisation in Partial Scenes. 12038-12049 - Jing Jin, Mantang Guo, Junhui Hou, Hui Liu, Hongkai Xiong:
Light Field Reconstruction via Deep Adaptive Fusion of Hybrid Lenses. 12050-12067 - Dongliang Chang, Kaiyue Pang, Ruoyi Du, Yujun Tong, Yi-Zhe Song, Zhanyu Ma, Jun Guo:
Making a Bird AI Expert Work for You and Me. 12068-12084 - Mu Yuan, Lan Zhang, Zimu Zheng, Yi-Nan Zhang, Xiang-Yang Li:
MLink: Linking Black-Box Models From Multiple Domains for Collaborative Inference. 12085-12097 - Tianmeng Hu, Biao Luo, Chunhua Yang, Tingwen Huang:
MO-MIX: Multi-Objective Multi-Agent Cooperative Decision-Making With Deep Reinforcement Learning. 12098-12112 - Peng Xu, Xiatian Zhu, David A. Clifton:
Multimodal Learning With Transformers: A Survey. 12113-12132 - Fang Wan, Qixiang Ye, Tianning Yuan, Songcen Xu, Jianzhuang Liu, Xiangyang Ji, Qingming Huang:
Multiple Instance Differentiation Learning for Active Object Detection. 12133-12147 - Han Xu, Jiteng Yuan, Jiayi Ma:
MURF: Mutually Reinforcing Multi-Modal Image Registration and Fusion. 12148-12166 - Jacopo Cavazza, Vittorio Murino, Alessio Del Bue:
No Adversaries to Zero-Shot Learning: Distilling an Ensemble of Gaussian Feature Generators. 12167-12178 - Gihyun Kwon, Jong Chul Ye:
One-Shot Adaptation of GAN in Just One CLIP. 12179-12191 - Yuchen Hong, Qian Zheng, Lingran Zhao, Xudong Jiang, Alex C. Kot, Boxin Shi:
PAR$^{2}$2Net: End-to-End Panoramic Image Reflection Removal. 12192-12205 - Cristina González, Nicolás Ayobi, Isabela Hernández, Jordi Pont-Tuset, Pablo Arbeláez:
PiGLET: Pixel-Level Grounding of Language Expressions With Transformers. 12206-12221 - Kedan Li, Jeffrey Zhang, David A. Forsyth:
POVNet: Image-Based Virtual Try-On Through Accurate Warping and Residual. 12222-12235 - Zhihao Cheng, Li Shen, Miaoxi Zhu, Jiaxian Guo, Meng Fang, Liu Liu, Bo Du, Dacheng Tao:
Prescribed Safety Performance Imitation Learning From a Single Expert Dataset. 12236-12249 - Baoquan Zhang, Xutao Li, Yunming Ye, Shanshan Feng:
Prototype Completion for Few-Shot Learning. 12250-12268 - Zezhou Zhu, Yucong Zhou, Yuan Dong, Zhao Zhong:
PWLU: Learning Specialized Activation Functions With the Piecewise Linear Unit. 12269-12286 - Hongwen Zhang, Yating Tian, Yuxiang Zhang, Mengcheng Li, Liang An, Zhenan Sun, Yebin Liu:
PyMAF-X: Towards Well-Aligned Full-Body Model Regression From Monocular Images. 12287-12303 - Bing Li, Haina Qin, Weihua Xiong, Yangxi Li, Songhe Feng, Weiming Hu, Stephen J. Maybank:
Ranking-Based Color Constancy With Limited Training Samples. 12304-12320 - Jinkai Tian, Xiaoyu Sun, Yuxuan Du, Shanshan Zhao, Qing Liu, Kaining Zhang, Wei Yi, Wanrong Huang, Chaoyue Wang, Xingyao Wu, Min-Hsiu Hsieh, Tongliang Liu, Wenjing Yang, Dacheng Tao:
Recent Advances for Quantum Neural Networks in Generative Learning. 12321-12340 - Minhyun Lee, Seungho Lee, Jongwuk Lee, Hyunjung Shim:
Saliency as Pseudo-Pixel Supervision for Weakly and Semi-Supervised Semantic Segmentation. 12341-12357 - Zhi Chen, Kun Sun, Fan Yang, Lin Guo, Wenbing Tao:
SC$^{2}$2-PCR++: Rethinking the Generation and Selection for Efficient and Robust Point Cloud Registration. 12358-12376 - Juan Wang, Chunfeng Yuan, Bing Li, Ying Deng, Weiming Hu, Stephen J. Maybank:
Self-Prior Guided Pixel Adversarial Networks for Blind Image Inpainting. 12377-12393 - Wenbo Zhao, Xianming Liu, Deming Zhai, Junjun Jiang, Xiangyang Ji:
Self-Supervised Arbitrary-Scale Implicit Point Clouds Upsampling. 12394-12407 - Zhiwu Qing, Shiwei Zhang, Ziyuan Huang, Yi Xu, Xiang Wang, Changxin Gao, Rong Jin, Nong Sang:
Self-Supervised Learning from Untrimmed Videos via Hierarchical Consistency. 12408-12426 - Jie Fu, Junyu Gao, Changsheng Xu:
Semantic and Temporal Contextual Correlation Learning for Weakly-Supervised Temporal Action Localization. 12427-12443 - Siying Liu, Pier Luigi Dragotti:
Sensing Diversity and Sparsity Models for Event Generation and Video Reconstruction from Events. 12444-12458 - Jing Liu, Bohan Zhuang, Peng Chen, Chunhua Shen, Jianfei Cai, Mingkui Tan:
Single-Path Bit Sharing for Automatic Loss-Aware Model Compression. 12459-12473 - Chuanqing Zhuang, Zhengda Lu, Yiqun Wang, Jun Xiao, Ying Wang:
SPDET: Edge-Aware Self-Supervised Panoramic Depth Estimation Transformer With Spherical Geometry. 12474-12489 - Lue Fan, Yuxue Yang, Feng Wang, Naiyan Wang, Zhaoxiang Zhang:
Super Sparse 3D Object Detection. 12490-12505 - Jing Tan, Yuhong Wang, Gangshan Wu, Limin Wang:
Temporal Perceiver: A General Architecture for Arbitrary Boundary Detection. 12506-12520 - Tianqiang Zhu, Rina Wu, Jinglue Hang, Xiangbo Lin, Yi Sun:
Toward Human-Like Grasp: Functional Grasp by Dexterous Robotic Hand Via Object-Hand Semantic Representation. 12521-12534 - Bingqian Lin, Yanxin Long, Yi Zhu, Fengda Zhu, Xiaodan Liang, Qixiang Ye, Liang Lin:
Towards Deviation-Robust Agent Navigation via Perturbation-Aware Contrastive Learning. 12535-12549 - Pu Zhang, Lei Bai, Yuning Wang, Jianwu Fang, Jianru Xue, Nanning Zheng, Wanli Ouyang:
Towards Trajectory Forecasting From Detection. 12550-12561 - Shuzhou Sun, Shuaifeng Zhi, Qing Liao, Janne Heikkilä, Li Liu:
Unbiased Scene Graph Generation via Two-Stage Causal Modeling. 12562-12580 - Kunchang Li, Yali Wang, Junhao Zhang, Peng Gao, Guanglu Song, Yu Liu, Hongsheng Li, Yu Qiao:
UniFormer: Unifying Convolution and Self-Attention for Visual Recognition. 12581-12600 - Juncheng Li, Siliang Tang, Linchao Zhu, Wenqiao Zhang, Yi Yang, Tat-Seng Chua, Fei Wu, Yueting Zhuang:
Variational Cross-Graph Reasoning and Adaptive Structured Semantics Learning for Compositional Temporal Grounding. 12601-12617 - Xiaorong Li, Shipeng Wang, Jian Sun, Zongben Xu:
Variational Data-Free Knowledge Distillation for Continual Learning. 12618-12634 - Weixuan Sun, Zhen Qin, Hui Deng, Jianyuan Wang, Yi Zhang, Kaihao Zhang, Nick Barnes, Stan Birchfield, Lingpeng Kong, Yiran Zhong:
Vicinity Vision Transformer. 12635-12649 - Renwei Dian, Anjing Guo, Shutao Li:
Zero-Shot Hyperspectral Sharpening. 12650-12666 - Chenjie Cao, Qiaole Dong, Yanwei Fu:
ZITS++: Image Inpainting by Improving the Incremental Transformer on Structural Priors. 12667-12684 - Alexander Kolpakov, Michael Werman:
An Approach to Robust ICP Initialization. 12685-12691 - Bo Jiang, Beibei Wang, Si Chen, Jin Tang, Bin Luo:
Graph Neural Network Meets Sparse Representation: Graph Sparse Neural Networks via Exclusive Group Lasso. 12692-12698 - Binghao Liu, Boyu Yang, Lingxi Xie, Ren Wang, Qi Tian, Qixiang Ye:
Learnable Distribution Calibration for Few-Shot Class-Incremental Learning. 12699-12706 - Chen-Hao Chao, Bo-Wun Cheng, Tzu-Wen Wang, Huang-Ru Liao, Chun-Yi Lee:
Rainbow UDA: Combining Domain Adaptive Models for Semantic Segmentation Tasks. 12707-12713 - Yuxin Fang, Xinggang Wang, Rui Wu, Wenyu Liu:
What Makes for Hierarchical Vision Transformer? 12714-12720
Volume 45, Number 11, November 2023
- Salman H. Khan, Fahad Shahbaz Khan, Ashish Vaswani, Niki Parmar, Ming-Hsuan Yang, Mubarak Shah:
Guest Editorial Introduction to the Special Section on Transformer Models in Vision. 12721-12725 - Francesca Babiloni, Ioannis Marras, Jiankang Deng, Filippos Kokkinos, Matteo Maggioni, Grigorios Chrysos, Philip H. S. Torr, Stefanos Zafeiriou:
Linear Complexity Self-Attention With $3{\mathrm{rd}}$3 rd Order Polynomials. 12726-12737 - Daquan Zhou, Qibin Hou, Linjie Yang, Xiaojie Jin, Jiashi Feng:
Token Selection is a Simple Booster for Vision Transformers. 12738-12746 - Haoran Duan, Yang Long, Shidong Wang, Haofeng Zhang, Chris G. Willcocks, Ling Shao:
Dynamic Unary Convolution in Transformers. 12747-12759 - Yu-Huan Wu, Yun Liu, Xin Zhan, Ming-Ming Cheng:
P2T: Pyramid Pooling Transformer for Scene Understanding. 12760-12771 - Zhigang Dai, Bolun Cai, Yugeng Lin, Junying Chen:
Unsupervised Pre-Training for Detection Transformers. 12772-12782 - Tianyu Zhu, Markus Hiller, Mahsa Ehsanpour, Rongkai Ma, Tom Drummond, Ian D. Reid, Hamid Rezatofighi:
Looking Beyond Two Frames: End-to-End Multi-Object Tracking Using Spatial and Temporal Transformers. 12783-12797 - Fabien Baradel, Romain Brégier, Thibault Groueix, Philippe Weinzaepfel, Yannis Kalantidis, Grégory Rogez:
PoseBERT: A Generic Transformer Module for Temporal 3D Human Modeling. 12798-12815 - Da-Wei Zhou, Han-Jia Ye, Liang Ma, Di Xie, Shiliang Pu, De-Chuan Zhan:
Few-Shot Class-Incremental Learning by Sampling Multi-Phase Tasks. 12816-12831 - Gongjie Zhang, Zhipeng Luo, Kaiwen Cui, Shijian Lu, Eric P. Xing:
Meta-DETR: Image-Level Few-Shot Detection With Inter-Class Correlation Exploitation. 12832-12843 - Shiming Chen, Ziming Hong, Wenjin Hou, Guo-Sen Xie, Yibing Song, Jian Zhao, Xinge You, Shuicheng Yan, Ling Shao:
TransZero++: Cross Attribute-Guided Transformer for Zero-Shot Learning. 12844-12861 - Jinghuan Shang, Xiang Li, Kumara Kahatapitiya, Yu-Cheol Lee, Michael S. Ryoo:
StARformer: Transformer With State-Action-Reward Representations for Robot Learning. 12862-12877 - Kashyap Chitta, Aditya Prakash, Bernhard Jaeger, Zehao Yu, Katrin Renz, Andreas Geiger:
TransFuser: Imitation With Transformer-Based Sensor Fusion for Autonomous Driving. 12878-12895 - Lipisha Chaudhary, Tejaswini Ananthanarayana, Enjamamul Hoq, Ifeoma Nwogu:
SignNet II: A Transformer-Based Two-Way Sign Language Translation Model. 12896-12907 - Chuhui Xue, Jiaxing Huang, Wenqing Zhang, Shijian Lu, Changhu Wang, Song Bai:
Image-to-Character-to-Word Transformers for Accurate Scene Text Recognition. 12908-12921 - Javier Selva, Anders Skaarup Johansen, Sergio Escalera, Kamal Nasrollahi, Thomas B. Moeslund, Albert Clapés:
Video Transformers: A Survey. 12922-12943 - Yujiang Wang, Mingzhi Dong, Jie Shen, Yiming Luo, Yiming Lin, Pingchuan Ma, Stavros Petridis, Maja Pantic:
Self-Supervised Video-Centralised Transformer for Video Face Clustering. 12944-12959 - Zonghui Guo, Zhaorui Gu, Bing Zheng, Junyu Dong, Haiyong Zheng:
Transformer for Image Harmonization and Beyond. 12960-12977 - Jie Xiao, Xueyang Fu, Aiping Liu, Feng Wu, Zheng-Jun Zha:
Image De-Raining Transformer. 12978-12995 - Xu Yang, Hanwang Zhang, Jianfei Cai:
Deconfounded Image Captioning: A Causal Retrospect. 12996-13010 - Shengju Qian, Yi Zhu, Wenbo Li, Mu Li, Jiaya Jia:
What Makes for Good Tokenizers in Vision Transformer? 13011-13023 - Guohao Li, Chenxin Xiong, Guocheng Qian, Ali K. Thabet, Bernard Ghanem:
DeeperGCN: Training Deeper GCNs With Generalized Aggregation Functions. 13024-13034 - Haoang Li, Ji Zhao, Jean-Charles Bazin, Pyojin Kim, Kyungdon Joo, Zhenjun Zhao, Yun-Hui Liu:
Hong Kong World: Leveraging Structural Regularity for Line-Based SLAM. 13035-13053 - Chun Pong Lau, Jiang Liu, Hossein Souri, Wei-An Lin, Soheil Feizi, Rama Chellappa:
Interpolated Joint Space Adversarial Training for Robust and Generalizable Defenses. 13054-13067 - Xing Yan, Yonghua Su, Wenxuan Ma:
Ensemble Multi-Quantiles: Adaptively Flexible Distribution Prediction for Uncertainty Quantification. 13068-13082 - Ran Song, Wei Zhang, Yitian Zhao, Yonghuai Liu, Paul L. Rosin:
3D Visual Saliency: An Independent Perceptual Measure or a Derivative of 2D Image Saliency? 13083-13099 - Jing Zhang, Jianwen Xie, Nick Barnes, Ping Li:
An Energy-Based Prior for Generative Saliency. 13100-13116 - Xiao Dong, Xunlin Zhan, Yunchao Wei, Xiaoyong Wei, Yaowei Wang, Minlong Lu, Xiaochun Cao, Xiaodan Liang:
Entity-Graph Enhanced Cross-Modal Pretraining for Instance-Level Product Retrieval. 13117-13133 - Chengdong Dong, Ajay Kumar:
Synthesis of Multi-View 3D Fingerprints to Advance Contactless Fingerprint Identification. 13134-13151 - Haoxuan Qu, Lin Geng Foo, Yanchao Li, Jun Liu:
Towards More Reliable Confidence Estimation. 13152-13169 - Bowen Xing, Ivor W. Tsang:
Relational Temporal Graph Reasoning for Dual-Task Dialogue Language Understanding. 13170-13184 - Sathyanarayanan N. Aakur, Sudeep Sarkar:
Leveraging Symbolic Knowledge Bases for Commonsense Natural Language Inference Using Pattern Theory. 13185-13202 - Bing-Qing Liu, Bin-Bin Jia, Min-Ling Zhang:
Towards Enabling Binary Decomposition for Partial Multi-Label Learning. 13203-13217 - Long Chen, Yuhang Zheng, Yulei Niu, Hanwang Zhang, Jun Xiao:
Counterfactual Samples Synthesizing and Training for Robust Visual Question Answering. 13218-13234 - Sen Cui, Weishen Pan, Changshui Zhang, Fei Wang:
Bipartite Ranking Fairness Through a Model Agnostic Ordering Adjustment. 13235-13249 - Kai-En Lin, Guowei Yang, Lei Xiao, Feng Liu, Ravi Ramamoorthi:
View Synthesis of Dynamic Scenes Based on Deep 3D Mask Volume. 13250-13264 - Junbin Xiao, Pan Zhou, Angela Yao, Yicong Li, Richang Hong, Shuicheng Yan, Tat-Seng Chua:
Contrastive Video Question Answering via Video Graph Transformer. 13265-13280 - Zhiyu Yao, Yunbo Wang, Haixu Wu, Jianmin Wang, Mingsheng Long:
ModeRNN: Harnessing Spatiotemporal Mode Collapse in Unsupervised Predictive Learning. 13281-13296 - Bohan Tang, Yiqi Zhong, Chenxin Xu, Wei-Tao Wu, Ulrich Neumann, Ya Zhang, Siheng Chen, Yanfeng Wang:
Collaborative Uncertainty Benefits Multi-Agent Multi-Modal Trajectory Forecasting. 13297-13313 - Rasha Friji, Faten Chaieb, Hassen Drira, Sebastian Kurtek:
Geometric Deep Neural Network Using Rigid and Non-Rigid Transformations for Landmark-Based Human Behavior Analysis. 13314-13327 - Maoguo Gong, Yuan Gao, Yue Wu, Yuanqiao Zhang, Alex Kai Qin, Yew-Soon Ong:
Heterogeneous Multi-Party Learning With Data-Driven Network Sampling. 13328-13343 - Zhuangdi Zhu, Kaixiang Lin, Anil K. Jain, Jiayu Zhou:
Transfer Learning in Deep Reinforcement Learning: A Survey. 13344-13362 - Junfan Lin, Keze Wang, Ziliang Chen, Xiaodan Liang, Liang Lin:
Towards Causality-Aware Inferring: A Sequential Discriminative Approach for Medical Diagnosis. 13363-13375 - Mengshun Hu, Kui Jiang, Zheng Wang, Xiang Bai, Ruimin Hu:
CycMuNet+: Cycle-Projected Mutual Learning for Spatial-Temporal Video Super-Resolution. 13376-13392 - Kailai Sun, Zuchao Li, Hai Zhao:
Cross-Lingual Universal Dependency Parsing Only From One Monolingual Treebank. 13393-13407 - Yizheng Chen, Lequan Yu, Jen-Yeu Wang, Neil Panjwani, Jean-Pierre Obeid, Wu Liu, Lianli Liu, Nataliya Kovalchuk, Michael Francis Gensheimer, Lucas Kas Vitzthum, Beth M. Beadle, Daniel T. Chang, Quynh-Thu Le, Bin Han, Lei Xing:
Adaptive Region-Specific Loss for Improved Medical Image Segmentation. 13408-13421 - Xiaofeng Cao, Weiyang Liu, Ivor W. Tsang:
Data-Efficient Learning via Minimizing Hyperspherical Energy. 13422-13437 - Yueming Lyu, Yue Jiang, Ziwen He, Bo Peng, Yunfan Liu, Jing Dong:
3D-Aware Adversarial Makeup Generation for Facial Privacy Protection. 13438-13453 - Beibei Wang, Bo Jiang, Jin Tang, Bin Luo:
Generalizing Aggregation Functions in GNNs: Building High Capacity and Robust GNNs via Nonlinear Aggregation. 13454-13466 - Gong Cheng, Xiang Yuan, Xiwen Yao, Kebing Yan, Qinghua Zeng, Xingxing Xie, Junwei Han:
Towards Large-Scale Small Object Detection: Survey and Benchmarks. 13467-13488 - Zhihua Chen, Guhao Qiu, Ping Li, Lei Zhu, Xiaokang Yang, Bin Sheng:
MNGNAS: Distilling Adaptive Combination of Multiple Searched Networks for One-Shot Neural Architecture Search. 13489-13508 - Zhibin Li, Piotr Koniusz, Lu Zhang, Daniel Edward Pagendam, Peyman Moghadam:
Exploiting Field Dependencies for Learning on Categorical Data. 13509-13522 - Mohsen Zand, Ali Etemad, Michael A. Greenspan:
Flow-Based Spatio-Temporal Structured Prediction of Motion Dynamics. 13523-13535 - Defu Liu, Wen Li, Lixin Duan, Ivor W. Tsang, Guowu Yang:
Noisy Label Learning With Provable Consistency for a Wider Family of Losses. 13536-13552 - Munan Ning, Donghuan Lu, Yujia Xie, Dongdong Chen, Dong Wei, Yefeng Zheng, Yonghong Tian, Shuicheng Yan, Li Yuan:
MADAv2: Advanced Multi-Anchor Based Active Domain Adaptation Segmentation. 13553-13566 - Nan Pu, Zhun Zhong, Nicu Sebe, Michael S. Lew:
A Memorizing and Generalizing Framework for Lifelong Person Re-Identification. 13567-13585 - Bing Li, Wei Cui, Le Zhang, Ce Zhu, Wei Wang, Ivor W. Tsang, Joey Tianyi Zhou:
DifFormer: Multi-Resolutional Differencing Transformer With Dynamic Ranging for Time Series Analysis. 13586-13598 - Shu Hu, Xin Wang, Siwei Lyu:
Rank-Based Decomposable Losses in Machine Learning: A Survey. 13599-13620 - Ziyi Wang, Yi Wei, Yongming Rao, Jie Zhou, Jiwen Lu:
3D Point-Voxel Correlation Fields for Scene Flow Estimation. 13621-13635 - Jiajun Deng, Zhengyuan Yang, Daqing Liu, Tianlang Chen, Wengang Zhou, Yanyong Zhang, Houqiang Li, Wanli Ouyang:
TransVG++: End-to-End Visual Grounding With Language Conditioned Vision Transformer. 13636-13652 - Jiawang Bai, Baoyuan Wu, Zhifeng Li, Shu-Tao Xia:
Versatile Weight Attack via Flipping Limited Bits. 13653-13665 - Yifei Shi, Junhua Xi, Dewen Hu, Zhiping Cai, Kai Xu:
RayMVSNet++: Learning Ray-Based 1D Implicit Fields for Accurate Multi-View Stereo. 13666-13682 - Chengxi Li, Stanley H. Chan, Yi-Ting Chen:
DROID: Driver-Centric Risk Object Identification. 13683-13698 - Christian Raymond, Qi Chen, Bing Xue, Mengjie Zhang:
Learning Symbolic Model-Agnostic Loss Functions via Meta-Learning. 13699-13714 - Zhuo Zheng, Yanfei Zhong, Junjue Wang, Ailong Ma, Liangpei Zhang:
FarSeg++: Foreground-Aware Relation Network for Geospatial Object Segmentation in High Spatial Resolution Remote Sensing Imagery. 13715-13729 - Taotao Li, Zhenyu Wen, Yang Long, Zhen Hong, Shilian Zheng, Li Yu, Bo Chen, Xiaoniu Yang, Ling Shao:
The Importance of Expert Knowledge for Automatic Modulation Open Set Recognition. 13730-13748 - Wuyuan Xie, Miaohui Wang, Di Lin, Boxin Shi, Jianmin Jiang:
Surface Geometry Processing: An Efficient Normal-Based Detail Representation. 13749-13765 - Wagner J. F. Silva, Pedro J. C. Souza, Renata M. C. R. Souza, Francisco José de A. Cysneiros:
A Clustering Algorithm for Polygonal Data Applied to Scientific Journal Profiles. 13766-13777 - Yao Hu, Zhi-An Huang, Rui Liu, Xiaoming Xue, Xiaoyan Sun, Linqi Song, Kay Chen Tan:
Source Free Semi-Supervised Transfer Learning for Diagnosis of Mental Disorders on fMRI Scans. 13778-13795 - Ruisheng Cao, Lu Chen, Jieyu Li, Hanchong Zhang, Hongshen Xu, Wangyou Zhang, Kai Yu:
A Heterogeneous Graph to Abstract Syntax Tree Framework for Text-to-SQL. 13796-13813 - Qichao Ying, Hang Zhou, Zhenxing Qian, Sheng Li, Xinpeng Zhang:
Learning to Immunize Images for Tamper Localization and Self-Recovery. 13814-13830 - Yinsong Wang, Yu Ding, Shahin Shahrampour:
TAKDE: Temporal Adaptive Kernel Density Estimator for Real-Time Dynamic Density Estimation. 13831-13843 - Zijie Yue, Miaojing Shi, Shuai Ding:
Facial Video-Based Remote Physiological Measurement via Self-Supervised Learning. 13844-13859 - Xiaosong Jia, Penghao Wu, Li Chen, Yu Liu, Hongyang Li, Junchi Yan:
HDGT: Heterogeneous Driving Graph Transformer for Multi-Agent Trajectory Prediction via Scene Encoding. 13860-13875 - Jingru Tan, Bo Li, Xin Lu, Yongqiang Yao, Fengwei Yu, Tong He, Wanli Ouyang:
The Equalization Losses: Gradient-Driven Training for Long-tailed Object Recognition. 13876-13892 - Víctor Corsino, José Manuel Gilpérez, Luis Herrera:
KitBit: A New AI Model for Solving Intelligence Tests and Numerical Series. 13893-13903 - Xiu-Shen Wei, Yang Shen, Xuhao Sun, Peng Wang, Yuxin Peng:
Attribute-Aware Deep Hashing With Self-Consistency for Large-Scale Fine-Grained Image Retrieval. 13904-13920 - Xinyu Lyu, Lianli Gao, Pengpeng Zeng, Heng Tao Shen, Jingkuan Song:
Adaptive Fine-Grained Predicates Learning for Scene Graph Generation. 13921-13940 - Haofei Xu, Jing Zhang, Jianfei Cai, Hamid Rezatofighi, Fisher Yu, Dacheng Tao, Andreas Geiger:
Unifying Flow, Stereo and Depth Estimation. 13941-13958 - Yuqi Wang, Yuntao Chen, Zhaoxiang Zhang:
Object Affinity Learning: Towards Annotation-Free Instance Segmentation. 13959-13973 - Xiaoxing Wang, Zhirui Lian, Jiale Lin, Chao Xue, Junchi Yan:
DIY Your EasyNAS for Vision: Convolution Operation Merging, Map Channel Reducing, and Search Space to Supernet Conversion Tooling. 13974-13990 - Youwei Lyu, Lingran Zhao, Si Li, Boxin Shi:
Shape From Polarization With Distant Lighting Estimation. 13991-14004 - Shuai Shen, Wanhua Li, Zheng Zhu, Jie Zhou, Jiwen Lu:
STAR-FC: Structure-Aware Face Clustering on Ultra-Large-Scale Graphs. 14005-14019 - Dianze Li, Yonghong Tian, Jianing Li:
SODFormer: Streaming Object Detection With Transformer Using Events and Frames. 14020-14037 - Yinong Chen, Tathagata Debnath, Andrew Cai, Mingzhou Song:
Circular Silhouette and a Fast Algorithm. 14038-14044 - Rick Groenendijk, Leo Dorst, Theo Gevers:
Geometric Back-Propagation in Morphological Neural Networks. 14045-14051 - Hari M. Bharadwaj, Ronnie B. Wilbur, Jeffrey Mark Siskind:
Still an Ineffective Method With Supertrials/ERPs - Comments on "Decoding Brain Representations by Multimodal Learning of Neural Activity and Visual Features". 14052-14054
Volume 45, Number 12, December 2023
- Shuo Yang, Songhua Wu, Erkun Yang, Bo Han, Yang Liu, Min Xu, Gang Niu, Tongliang Liu:
A Parametrical Model for Instance-Dependent Label Noise. 14055-14068 - Dashti Ali, Aras Asaad, María José Jiménez, Vidit Nanda, Eduardo Paluzo-Hidalgo, Manuel Soriano-Trigueros:
A Survey of Vectorization Methods in Topological Data Analysis. 14069-14080 - Yue Gao, Jiaxuan Lu, Siqi Li, Nan Ma, Shaoyi Du, Yipeng Li, Qionghai Dai:
Action Recognition and Benchmark Using Event Cameras. 14081-14097 - Rui Chen, Isabella Liu, Edward Yang, Jianyu Tao, Xiaoshuai Zhang, Qing Ran, Zhu Liu, Jing Xu, Hao Su:
ActiveZero++: Mixed Domain Learning Stereo and Confidence-Based Depth Completion With Zero Annotation. 14098-14113 - Xumin Yu, Yongming Rao, Ziyi Wang, Jiwen Lu, Jie Zhou:
AdaPoinTr: Diverse Point Cloud Completion With Adaptive Geometry-Aware Transformers. 14114-14130 - Alberto Castellini, Francesco Masillo, Davide Azzalini, Francesco Amigoni, Alessandro Farinelli:
Adversarial Data Augmentation for HMM-Based Anomaly Detection. 14131-14143 - Haoyu Zhang, Meng Liu, Yuhong Li, Ming Yan, Zan Gao, Xiaojun Chang, Liqiang Nie:
Attribute-Guided Collaborative Learning for Partial Person Re-Identification. 14144-14160 - Zhiyong Yang, Qianqian Xu, Shilong Bao, Peisong Wen, Yuan He, Xiaochun Cao, Qingming Huang:
AUC-Oriented Domain Adaptation: From Theory to Algorithm. 14161-14174 - Lei Zhu, Qi She, Qian Chen, Xiangxi Meng, Mufeng Geng, Lujia Jin, Yibao Zhang, Qiushi Ren, Yanye Lu:
Background-Aware Classification Activation Map for Weakly Supervised Object Localization. 14175-14191 - Li Siyao, Weijiang Yu, Tianpei Gu, Chunze Lin, Quan Wang, Chen Qian, Chen Change Loy, Ziwei Liu:
Bailando++: 3D Dance GPT With Choreographic Memory. 14192-14207 - Yoli Shavit, Ron Ferens, Yosi Keller:
Coarse-to-Fine Multi-Scene Pose Regression With Transformers. 14222-14233 - Cristiano Saltori, Fabio Galasso, Giuseppe Fiameni, Nicu Sebe, Fabio Poiesi, Elisa Ricci:
Compositional Semantic Mix for Domain Adaptation in Point Cloud Segmentation. 14234-14247 - Hatef Otroshi-Shahreza, Sébastien Marcel:
Comprehensive Vulnerability Evaluation of Face Recognition Systems to Template Inversion Attacks via 3D Face Reconstruction. 14248-14265 - Sung-Hyun Sim, Dohee Kim, Hyerim Bae:
Correlation Recurrent Units: A Novel Neural Architecture for Improving the Predictive Performance of Time-Series Data. 14266-14283 - Shoufa Chen, Enze Xie, Chongjian Ge, Runjian Chen, Ding Liang, Ping Luo:
CycleMLP: A MLP-Like Architecture for Dense Visual Predictions. 14284-14300 - Zhelun Shen, Xibin Song, Yuchao Dai, Dingfu Zhou, Zhibo Rao, Liangjun Zhang:
Digging Into Uncertainty-Based Pseudo-Label for Robust Stereo Matching. 14301-14320 - Rong Wang, Huimin Chen, Yihang Lu, Qianrong Zhang, Feiping Nie, Xuelong Li:
Discrete and Balanced Spectral Clustering With Scalability. 14321-14336 - Zhenyi Wang, Li Shen, Tiehang Duan, Qiuling Suo, Le Fang, Wei Liu, Mingchen Gao:
Distributionally Robust Memory Evolution With Generalized Divergence for Continual Learning. 14337-14352 - Muhammad Akhtar Munir, Muhammad Haris Khan, M. Saquib Sarfraz, Mohsen Ali:
Domain Adaptive Object Detection via Balancing Between Self-Training and Adversarial Learning. 14353-14365 - Zexi Chen, Yiyi Liao, Haozhe Du, Haodong Zhang, Xuecheng Xu, Haojian Lu, Rong Xiong, Yue Wang:
DPCN++: Differentiable Phase Correlation Network for Versatile Pose Registration. 14366-14384 - Zhengzhe Liu, Peng Dai, Ruihui Li, Xiaojuan Qi, Chi-Wing Fu:
DreamStone: Image as a Stepping Stone for Text-Guided 3D Shape Generation. 14385-14403 - Yuan Gao, Jianfeng He, Tianzhu Zhang, Zhe Zhang, Yongdong Zhang:
Dynamic Keypoint Detection Network for Image Matching. 14404-14419 - Shenwang Jiang, Jianan Li, Jizhou Zhang, Ying Wang, Tingfa Xu:
Dynamic Loss for Robust Learning. 14420-14434 - Hao Tang, Guolei Sun, Nicu Sebe, Luc Van Gool:
Edge Guided GANs With Multi-Scale Contrastive Learning for Semantic Image Synthesis. 14435-14452 - Yan Sun, Li Shen, Hao Sun, Liang Ding, Dacheng Tao:
Efficient Federated Learning Via Local Adaptive Amended Optimizer With Linear Speedup. 14453-14464 - Muyang Li, Ji Lin, Chenlin Meng, Stefano Ermon, Song Han, Jun-Yan Zhu:
Efficient Spatially Sparse Inference for Conditional GANs and Diffusion Models. 14465-14480 - Haoyu He, Jing Zhang, Bohan Zhuang, Jianfei Cai, Dacheng Tao:
End-to-End One-Shot Human Parsing. 14481-14496 - Yihao Liu, Hengyuan Zhao, Jinjin Gu, Yu Qiao, Chao Dong:
Evaluating the Generalization Ability of Super-Resolution Networks. 14497-14513 - Tiexin Qin, Shiqi Wang, Haoliang Li:
Evolving Domain Generalization via Latent Structure-Aware Sequential Autoencoder. 14514-14527 - Hao Zhu, Haotian Yang, Longwei Guo, Yidi Zhang, Yanru Wang, Mingkai Huang, Menghua Wu, Qiu Shen, Ruigang Yang, Xun Cao:
FaceScape: 3D Facial Dataset and Benchmark for Single-View 3D Face Reconstruction. 14528-14545 - Yangfan Hu, Qian Zheng, Xudong Jiang, Gang Pan:
Fast-SNN: Fast Spiking Neural Network by Converting Quantized ANN. 14546-14562 - Aysegul Dundar, Jun Gao, Andrew Tao, Bryan Catanzaro:
Fine Detailed Texture Learning for 3D Meshes With Generative Models. 14563-14574 - Andrés C. Rodríguez, Stefano D'Aronco, Konrad Schindler, Jan Dirk Wegner:
Fine-Grained Species Recognition With Privileged Pooling: Better Sample Efficiency Through Supervised Attention. 14575-14589 - Akshita Gupta, Sanath Narayan, Salman Khan, Fahad Shahbaz Khan, Ling Shao, Joost van de Weijer:
Generative Multi-Label Zero-Shot Learning. 14611-14624 - Mohammad Sabbaqi, Elvin Isufi:
Graph-Time Convolutional Neural Networks: Architecture and Theoretical Analysis. 14625-14638 - Boyan Jiang, Yinda Zhang, Jingyang Huo, Xiangyang Xue, Yanwei Fu:
H4MER: Human 4D Modeling by Learning Neural Compositional Representation With Transformer. 14639-14652 - Salim Rezvani, Junhao Wu:
Handling Multi-Class Problem by Intuitionistic Fuzzy Twin Support Vector Machines Based on Relative Density Information. 14653-14664 - Chao Zhang, Stephan Liwicki, Sen He, William Smith, Roberto Cipolla:
HexNet: An Orientation-Aware Deep Learning Framework for Omni-Directional Input. 14665-14681 - Shakediel Hiba, Yosi Keller:
Hierarchical Attention-Based Age Estimation and Bias Analysis. 14682-14692 - Risheng Liu, Xuan Liu, Shangzhi Zeng, Jin Zhang, Yixuan Zhang:
Hierarchical Optimization-Derived Learning. 14693-14708 - Yingcheng Huang, Fuyuan Xiao, Zehong Cao, Chin-Teng Lin:
Higher Order Fractal Belief Rényi Divergence With Its Applications in Pattern Classification. 14709-14726 - Nan Xue, Tianfu Wu, Song Bai, Fu-Dong Wang, Gui-Song Xia, Liangpei Zhang, Philip H. S. Torr:
Holistically-Attracted Wireframe Parsing: From Supervised to Self-Supervised Learning. 14727-14744 - Jingda Wu, Yanxin Zhou, Haohan Yang, Zhiyu Huang, Chen Lv:
Human-Guided Reinforcement Learning With Sim-to-Real Transfer for Autonomous Navigation. 14745-14759 - Runzhao Yao, Shaoyi Du, Wenting Cui, Aixue Ye, Feng Wen, Hongbo Zhang, Zhiqiang Tian, Yue Gao:
Hunter: Exploring High-Order Consistency for Point Cloud Registration With Severe Outliers. 14760-14776 - Yusuf Dalva, Hamza Pehlivan, Öykü Irmak Hatipoglu, Cansu Moran, Aysegul Dundar:
Image-to-Image Translation With Disentangled Latent Vectors for Face Editing. 14777-14788 - Chenping Hou, Shilin Gu, Chao Xu, Yuhua Qian:
Incremental Learning for Simultaneous Augmentation of Feature and Class. 14789-14806 - Masoumeh Soflaei, Richong Zhang, Hongyu Guo, Ali Al-Bashabsheh, Yongyi Mao:
Information Bottleneck and Aggregated Learning. 14807-14820 - Yu-Jie Yuan, Yang-Tian Sun, Yu-Kun Lai, Yuewen Ma, Rongfei Jia, Leif Kobbelt, Lin Gao:
Interactive NeRF Geometry Editing With Shape Priors. 14821-14837 - Yiming Tang, Zhifu Pan, Xianghui Hu, Witold Pedrycz, Renhao Chen:
Knowledge-Induced Multiple Kernel Fuzzy Clustering. 14838-14855 - Tian Xie, Rajgopal Kannan, C.-C. Jay Kuo:
Label Efficient Regularization and Propagation for Graph Node Classification. 14856-14871 - Pan He, Patrick Emami, Sanjay Ranka, Anand Rangarajan:
Learning Canonical Embeddings for Unsupervised Shape Correspondence With Locally Linear Transformations. 14872-14887 - Zhongwei Qiu, Huan Yang, Jianlong Fu, Daochang Liu, Chang Xu, Dongmei Fu:
Learning Degradation-Robust Spatiotemporal Frequency-Transformer for Video Super-Resolution. 14888-14904 - Yutong Xie, Jianpeng Zhang, Yong Xia, Chunhua Shen:
Learning From Partially Labeled Data for Multi-Organ and Tumor Segmentation. 14905-14919 - Chao Fan, Saihui Hou, Jilong Wang, Yongzhen Huang, Shiqi Yu:
Learning Gait Representation From Massive Unlabelled Walking Videos: A Benchmark. 14920-14937 - Wenbin Li, Ziyi Wang, Xuesong Yang, Chuanqi Dong, Pinzhuo Tian, Tiexin Qin, Jing Huo, Yinghuan Shi, Lei Wang, Yang Gao, Jiebo Luo:
LibFewShot: A Comprehensive Library for Few-Shot Learning. 14938-14955 - Zhuo Su, Jiehua Zhang, Longguang Wang, Hua Zhang, Zhen Liu, Matti Pietikäinen, Li Liu:
Lightweight Pixel Difference Networks for Efficient Visual Representation Learning. 14956-14974 - Jiye Liang, Zijin Du, Jianqing Liang, Kaixuan Yao, Feilong Cao:
Long and Short-Range Dependency Graph Structure Learning Framework on Point Cloud. 14975-14989 - Yuxin Zhang, Mingbao Lin, Yunshan Zhong, Fei Chao, Rongrong Ji:
Lottery Jackpots Exist in Pre-Trained Models. 14990-15004 - Jongho Lee, Mohit Gupta:
Mitigating AC and DC Interference in Multi-ToF-Camera Environments. 15005-15017 - Wenjian Wang, Lijuan Duan, Yuxi Wang, Junsong Fan, Zhaoxiang Zhang:
MMT: Cross Domain Few-Shot Learning via Meta-Memory Transfer. 15018-15035 - Jinwoo Kim, Beom Kwon, Jongyoo Kim, Sanghoon Lee:
MNET++: Music-Driven Pluralistic Dancing Toward Multiple Dance Genre Synthesis. 15036-15050 - Jianhua Sun, Yuxuan Li, Liang Chai, Cewu Lu:
Modality Exploration, Retrieval and Adaptation for Trajectory Prediction. 15051-15064 - Jia Wan, Qiangqiang Wu, Antoni B. Chan:
Modeling Noisy Annotations for Point-Wise Supervision. 15065-15080 - Yuan Liang, Bailin Deng, Wenxi Liu, Jing Qin, Shengfeng He:
Monocular Depth Estimation for Glass Walls With Context: A New Dataset and Method. 15081-15097 - Fangneng Zhan, Yingchen Yu, Rongliang Wu, Jiahui Zhang, Shijian Lu, Lingjie Liu, Adam Kortylewski, Christian Theobalt, Eric P. Xing:
Multimodal Image Synthesis and Editing: The Generative AI Era. 15098-15119 - Min Ren, Yunlong Wang, Yuhao Zhu, Kunbo Zhang, Zhenan Sun:
Multiscale Dynamic Graph Representation for Biometric Recognition With Occlusions. 15120-15136 - Wenbo Dong, Shiliang Sun:
Multi-View Deep Gaussian Processes for Supervised Learning. 15137-15153 - Qianyao Qiang, Bin Zhang, Fei Wang, Feiping Nie:
Multi-View Discrete Clustering: A Concise Model. 15154-15170 - Xingxing Xie, Chunbo Lang, Shicheng Miao, Gong Cheng, Ke Li, Junwei Han:
Mutual-Assistance Learning for Object Detection. 15171-15184 - Haoning Wu, Chaofeng Chen, Liang Liao, Jingwen Hou, Wenxiu Sun, Qiong Yan, Jinwei Gu, Weisi Lin:
Neighbourhood Representative Sampling for Efficient End-to-End Video Quality Assessment. 15185-15202 - Youjian Zhang, Chaoyue Wang, Dacheng Tao:
Neural Maximum a Posteriori Estimation on Unpaired Data for Motion Deblurring. 15203-15218 - Peiqi Duan, Yi Ma, Xinyu Zhou, Xinyu Shi, Zihao W. Wang, Tiejun Huang, Boxin Shi:
NeuroZoom: Denoising and Super Resolving Neuromorphic Events and Spikes. 15219-15232 - Bin Tan, Nan Xue, Tianfu Wu, Gui-Song Xia:
NOPE-SAC: Neural One-Plane RANSAC for Sparse-View Planar 3D Reconstruction. 15233-15248 - Syed Safwan Khalid, Muhammad Awais, Zhenhua Feng, Chi-Ho Chan, Ammarah Farooq, Ali Akbari, Josef Kittler:
NPT-Loss: Demystifying Face Recognition Losses With Nearest Proxies Triplet. 15249-15259 - Xiong-Hui Chen, Fan-Ming Luo, Yang Yu, Qingyang Li, Zhiwei Qin, Wenjie Shang, Jieping Ye:
Offline Model-Based Adaptable Policy Learning for Decision-Making in Out-of-Support Regions. 15260-15274 - Yang Shu, Zhangjie Cao, Jinghan Gao, Jianmin Wang, Philip S. Yu, Mingsheng Long:
Omni-Training: Bridging Pre-Training and Meta-Training for Few-Shot Learning. 15275-15291 - Jin-Duk Park, Cong Tran, Won-Yong Shin, Xin Cao:
On the Power of Gradual Network Alignment Using Dual-Perception Similarities. 15292-15307 - Hamish Flynn, David Reeb, Melih Kandemir, Jan Peters:
PAC-Bayes Bounds for Bandit Problems: A Survey and Experimental Comparison. 15308-15327 - Xin Tan, Qihang Ma, Jingyu Gong, Jiachen Xu, Zhizhong Zhang, Haichuan Song, Yanyun Qu, Yuan Xie, Lizhuang Ma:
Positive-Negative Receptive Field Reasoning for Omni-Supervised 3D Segmentation. 15328-15344 - Yangbangyan Jiang, Qianqian Xu, Yunrui Zhao, Zhiyong Yang, Peisong Wen, Xiaochun Cao, Qingming Huang:
Positive-Unlabeled Learning With Label Distribution Alignment. 15345-15363 - Yunan Lu, Weiwei Li, Huaxiong Li, Xiuyi Jia:
Predicting Label Distribution From Tie-Allowed Multi-Label Ranking. 15364-15379 - Tobias Fischer, Thomas E. Huang, Jiangmiao Pang, Linlu Qiu, Haofeng Chen, Trevor Darrell, Fisher Yu:
QDTrack: Quasi-Dense Similarity Learning for Appearance-Only Multiple Object Tracking. 15380-15393 - Sayak Nag, Dripta S. Raychaudhuri, Sujoy Paul, Amit K. Roy-Chowdhury:
Reconstruction Guided Meta-Learning for Few Shot Open Set Recognition. 15394-15405 - Yating Tian, Hongwen Zhang, Yebin Liu, Limin Wang:
Recovering 3D Human Mesh From Monocular Images: A Survey. 15406-15425 - Hongteng Xu, Minjie Cheng:
Regularized Optimal Transport Layers for Generalized Global Pooling Operations. 15426-15444 - Weihang Liao, Art Subpa-Asa, Yuta Asano, Yinqiang Zheng, Hiroki Kajita, Nobuaki Imanishi, Takayuki Yagi, Sadakazu Aiso, Kazuo Kishi, Imari Sato:
Reliability-Aware Restoration Framework for 4D Spectral Photoacoustic Data. 15445-15461 - Zhouxia Wang, Jiawei Zhang, Tianshui Chen, Wenping Wang, Ping Luo:
RestoreFormer++: Towards Real-World Blind Face Restoration From Undegraded Key-Value Pairs. 15462-15476 - Vishal Asnani, Xi Yin, Tal Hassner, Xiaoming Liu:
Reverse Engineering of Generative Models: Inferring Model Hyperparameters From Generated Images. 15477-15493 - Zhiyong Yang, Qianqian Xu, Wenzheng Hou, Shilong Bao, Yuan He, Xiaochun Cao, Qingming Huang:
Revisiting AUC-Oriented Adversarial Training With Loss-Agnostic Perturbations. 15494-15511 - Ancong Wu, Wenhang Ge, Wei-Shi Zheng:
Rewarded Semi-Supervised Re-Identification on Identities Rarely Crossing Camera Views. 15512-15529 - Chenyang Lei, Xudong Jiang, Qifeng Chen:
Robust Reflection Removal With Flash-Only Cues in the Wild. 15530-15545 - Mengde Xu, Zheng Zhang, Fangyun Wei, Han Hu, Xiang Bai:
SAN: Side Adapter Network for Open-Vocabulary Semantic Segmentation. 15546-15561 - Zhaoxi Chen, Guangcong Wang, Ziwei Liu:
SceneDreamer: Unbounded 3D Scene Generation From 2D Image Collections. 15562-15576 - Han Yue, Jundong Li, Hongfu Liu:
Second-Order Unsupervised Feature Selection via Knowledge Contrastive Distillation. 15577-15587 - Raghav Gnanasambandam, Bo Shen, Jihoon Chung, Xubo Yue, Zhenyu James Kong:
Self-Scalable Tanh (Stan): Multi-Scale Solutions for Physics-Informed Neural Networks. 15588-15603 - Emadeldeen Eldele, Mohamed Ragab, Zhenghua Chen, Min Wu, Chee-Keong Kwoh, Xiaoli Li, Cuntai Guan:
Self-Supervised Contrastive Representation Learning for Semi-Supervised Time-Series Classification. 15604-15618 - Zhong-Yu Li, Shanghua Gao, Ming-Ming Cheng:
SERE: Exploring Feature Self-Relation for Self-Supervised Transformer. 15619-15631 - Wenlong Wang, Feifei Qi, David Paul Wipf, Chang Cai, Tianyou Yu, Yuanqing Li, Yu Zhang, Zhuliang Yu, Wei Wu:
Sparse Bayesian Learning for End-to-End EEG Decoding. 15632-15649 - Peize Sun, Rufeng Zhang, Yi Jiang, Tao Kong, Chenfeng Xu, Wei Zhan, Masayoshi Tomizuka, Zehuan Yuan, Ping Luo:
Sparse R-CNN: An End-to-End Framework for Object Detection. 15650-15664 - Yuliang Liu, Jiaxin Zhang, Dezhi Peng, Mingxin Huang, Xinyu Wang, Jingqun Tang, Can Huang, Dahua Lin, Chunhua Shen, Xiang Bai, Lianwen Jin:
SPTS v2: Single-Point Scene Text Spotting. 15665-15679 - Tong Wu, Lin Gao, Ling-Xiao Zhang, Yu-Kun Lai, Hao Zhang:
STAR-TM: STructure Aware Reconstruction of Textured Mesh From Single Image. 15680-15693 - Zheng Chen, Chen Wang, Yuan-Chen Guo, Song-Hai Zhang:
StructNeRF: Neural Radiance Fields for Indoor Scenes With Structural Hints. 15694-15705 - Linfeng Zhang, Kaisheng Ma:
Structured Knowledge Distillation for Accurate and Efficient Object Detection. 15706-15724 - Minguk Kang, Joonghyuk Shin, Jaesik Park:
StudioGAN: A Taxonomy and Benchmark of GANs for Image Synthesis. 15725-15742 - Zhilin Zhao, Longbing Cao, Kun-Yu Lin:
Supervision Adaptation Balancing In-Distribution Generalization and Out-of-Distribution Detection. 15743-15758 - Linjiang Huang, Kaixin Lu, Guanglu Song, Liang Wang, Si Liu, Yu Liu, Hongsheng Li:
Teach-DETR: Better Training DETR With Teachers. 15759-15771 - Dohyeok Kwon, Jonghwan Park, Songnam Hong:
Tighter Regret Analysis and Optimization of Online Federated Learning. 15772-15789 - Yangtao Wang, Xi Shen, Yuan Yuan, Yuming Du, Maomao Li, Shell Xu Hu, James L. Crowley, Dominique Vaufreydaz:
TokenCut: Segmenting Objects in Images and Videos With Self-Supervised Transformer and Normalized Cut. 15790-15801 - Qilong Wang, Zhaolin Zhang, Mingze Gao, Jiangtao Xie, Pengfei Zhu, Peihua Li, Wangmeng Zuo, Qinghua Hu:
Towards a Deeper Understanding of Global Covariance Pooling in Deep Learning: An Optimization Perspective. 15802-15819 - Ziang Cao, Ziyuan Huang, Liang Pan, Shiwei Zhang, Ziwei Liu, Changhong Fu:
Towards Real-World Visual Tracking With Temporal Contexts. 15834-15849 - Carolin Schmitt, Bozidar Antic, Neculai Andrei, Joo Ho Lee, Andreas Geiger:
Towards Scalable Multi-View Reconstruction of Geometry and Materials. 15850-15869 - Gustavo Gratacós, Ayan Chakrabarti, Tao Ju:
Tree Recovery by Dynamic Programming. 15870-15882 - Shiqi Yang, Yaxing Wang, Joost van de Weijer, Luis Herranz, Shangling Jui, Jian Yang:
Trust Your Good Friends: Source-Free Domain Adaptation by Reciprocal Neighborhood Clustering. 15883-15895 - Mengyuan Chen, Junyu Gao, Changsheng Xu:
Uncertainty-Aware Dual-Evidential Learning for Weakly-Supervised Temporal Action Localization. 15896-15911 - Huai Chen, Renzhen Wang, Xiuying Wang, Jieyu Li, Qu Fang, Hui Li, Jianhao Bai, Qing Peng, Deyu Meng, Lisheng Wang:
Unsupervised Local Discrimination for Medical Images. 15912-15929 - Risheng Liu, Xuan Liu, Shangzhi Zeng, Jin Zhang, Yixuan Zhang:
Value-Function-Based Sequential Minimization for Bi-Level Optimization. 15930-15948 - Junyu Gao, Mengyuan Chen, Changsheng Xu:
Vectorized Evidential Learning for Weakly-Supervised Temporal Action Localization. 15949-15963 - Hai Wu, Ruifei He, Haoru Tan, Xiaojuan Qi, Kaibin Huang:
Vertical Layering of Quantized Neural Networks for Heterogeneous Inference. 15964-15978 - Wei-Yen Hsu, Wei-Chi Chang:
Wavelet Approximation-Aware Residual Network for Single Image Deraining. 15979-15995 - Chunfeng Song, Wanli Ouyang, Zhaoxiang Zhang:
Weakly Supervised Semantic Segmentation via Box-Driven Masking and Filling Rate Shifting. 15996-16012 - Alberto Sabater, Luis Montesano, Ana C. Murillo:
Event Transformer$^+$. A Multi-Purpose Solution for Efficient Event Data Processing. 16013-16020 - Garrett Wilson, Janardhan Rao Doppa, Diane J. Cook:
CALDA: Improving Multi-Source Time Series Domain Adaptation With Contrastive Adversarial Learning. 14208-14221 - Yunfan Liu, Qi Li, Qiyao Deng, Zhenan Sun, Ming-Hsuan Yang:
GAN-Based Facial Attribute Manipulation. 14590-14610 - Tobias Kortus, Ralf Keidel, Nicolas R. Gauger:
Towards Neural Charged Particle Tracking in Digital Tracking Calorimeters With Reinforcement Learning. 15820-15833
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
last updated on 2025-01-23 20:19 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
