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ORCIDICCV 2015: Santiago, Chile
- 2015 IEEE International Conference on Computer Vision, ICCV 2015, Santiago, Chile, December 7-13, 2015. IEEE Computer Society 2015, ISBN 978-1-4673-8391-2
O-1A: Vision and Language
- Mateusz Malinowski
, Marcus Rohrbach, Mario Fritz:
Ask Your Neurons: A Neural-Based Approach to Answering Questions about Images. 1-9 - Hamid Izadinia, Fereshteh Sadeghi, Santosh Kumar Divvala, Hannaneh Hajishirzi, Yejin Choi, Ali Farhadi:
Segment-Phrase Table for Semantic Segmentation, Visual Entailment and Paraphrasing. 10-18 - Yukun Zhu, Ryan Kiros, Richard S. Zemel, Ruslan Salakhutdinov, Raquel Urtasun, Antonio Torralba, Sanja Fidler:
Aligning Books and Movies: Towards Story-Like Visual Explanations by Watching Movies and Reading Books. 19-27 - Ting Yao, Tao Mei, Chong-Wah Ngo:
Learning Query and Image Similarities with Ranking Canonical Correlation Analysis. 28-36
P-1A: Recognition, Low-Level Vision, and Biomedical Image Analysis
- Pulkit Agrawal, João Carreira, Jitendra Malik:
Learning to See by Moving. 37-45 - Haoyu Ren, Ze-Nian Li:
Object Detection Using Generalization and Efficiency Balanced Co-Occurrence Features. 46-54 - Quanshi Zhang, Ying Nian Wu, Song-Chun Zhu:
Mining And-Or Graphs for Graph Matching and Object Discovery. 55-63 - Shubham Tulsiani, João Carreira, Jitendra Malik:
Pose Induction for Novel Object Categories. 64-72 - Yuhui Quan, Yan Huang, Hui Ji:
Dynamic Texture Recognition via Orthogonal Tensor Dictionary Learning. 73-81 - Bin Yang, Junjie Yan, Zhen Lei, Stan Z. Li:
Convolutional Channel Features. 82-90 - Mattis Paulin, Matthijs Douze, Zaïd Harchaoui, Julien Mairal, Florent Perronnin, Cordelia Schmid:
Local Convolutional Features with Unsupervised Training for Image Retrieval. 91-99 - Lingxi Xie, Jingdong Wang, Weiyao Lin, Bo Zhang, Qi Tian:
RIDE: Reversal Invariant Descriptor Enhancement. 100-108 - Kamil Adamczewski, Yumin Suh, Kyoung Mu Lee:
Discrete Tabu Search for Graph Matching. 109-117 - Edgar Simo-Serra, Eduard Trulls, Luis Ferraz, Iasonas Kokkinos, Pascal Fua, Francesc Moreno-Noguer:
Discriminative Learning of Deep Convolutional Feature Point Descriptors. 118-126 - Abhishek Kar, Shubham Tulsiani, João Carreira, Jitendra Malik:
Amodal Completion and Size Constancy in Natural Scenes. 127-135 - Marco Pedersoli, Tinne Tuytelaars:
Learning Where to Position Parts in 3D. 136-144 - Yanhua Cheng, Rui Cai, Chi Zhang, Zhiwei Li, Xin Zhao, Kaiqi Huang, Yong Rui:
Query Adaptive Similarity Measure for RGB-D Object Recognition. 145-153 - Chao Sui, Mohammed Bennamoun, Roberto Togneri:
Listening with Your Eyes: Towards a Practical Visual Speech Recognition System Using Deep Boltzmann Machines. 154-162 - Flora Ponjou Tasse, Jirí Kosinka, Neil A. Dodgson:
Cluster-Based Point Set Saliency. 163-171 - Shida Beigpour, Andreas Kolb, Sven Kunz:
A Comprehensive Multi-Illuminant Dataset for Benchmarking of the Intrinsic Image Algorithms. 172-180 - Siying Liu, Tian-Tsong Ng, Kalyan Sunkavalli, Minh N. Do, Eli Shechtman, Nathan Carr:
PatchMatch-Based Automatic Lattice Detection for Near-Regular Textures. 181-189 - Jia Li, Changqun Xia, Yafei Song, Shu Fang, Xiaowu Chen:
A Data-Driven Metric for Comprehensive Evaluation of Saliency Models. 190-198 - Junchi Yan, Hongteng Xu, Hongyuan Zha, Xiaokang Yang, Huanxi Liu, Stephen M. Chu:
A Matrix Decomposition Perspective to Multiple Graph Matching. 199-207 - Nguyen Ho Man Rang, Michael S. Brown:
Fast and Effective L0 Gradient Minimization by Region Fusion. 208-216 - Peng Jiang, Nuno Vasconcelos, Jingliang Peng:
Generic Promotion of Diffusion-Based Salient Object Detection. 217-225 - Yu Li, Robby T. Tan, Michael S. Brown:
Nighttime Haze Removal with Glow and Multiple Light Colors. 226-234 - Jianwei Li, Xiaowu Chen, Dongqing Zou, Bo Gao, Wei Teng:
Conformal and Low-Rank Sparse Representation for Image Restoration. 235-243 - Jun Xu, Lei Zhang, Wangmeng Zuo, David Zhang, Xiangchu Feng:
Patch Group Based Nonlocal Self-Similarity Prior Learning for Image Denoising. 244-252 - Jingwei Huang, Huarong Chen, Bin Wang, Stephen Lin:
Automatic Thumbnail Generation Based on Visual Representativeness and Foreground Recognizability. 253-261 - Xun Huang, Chengyao Shen, Xavier Boix, Qi Zhao:
SALICON: Reducing the Semantic Gap in Saliency Prediction by Adapting Deep Neural Networks. 262-270 - Qian Zhao, Deyu Meng, Xu Kong, Qi Xie, Wenfei Cao, Yao Wang, Zongben Xu:
A Novel Sparsity Measure for Tensor Recovery. 271-279 - Shengfeng He, Rynson W. H. Lau:
Oriented Object Proposals. 280-288 - Michael Möller, Julia Diebold, Guy Gilboa, Daniel Cremers:
Learning Nonlinear Spectral Filters for Color Image Reconstruction. 289-297 - Dongliang Cheng, Brian L. Price, Scott Cohen, Michael S. Brown:
Beyond White: Ground Truth Colors for Color Constancy Correction. 298-306 - HyeokHyen Kwon, Yu-Wing Tai:
RGB-Guided Hyperspectral Image Upsampling. 307-315 - Amos Sironi, Vincent Lepetit, Pascal Fua:
Projection onto the Manifold of Elongated Structures for Accurate Extraction. 316-324 - Jordi Salvador, Eduardo Pérez-Pellitero:
Naive Bayes Super-Resolution Forest. 325-333 - Graham D. Finlayson, Alex E. Hayes:
POP Image Fusion - Derivative Domain Image Fusion without Reintegration. 334-342 - Ying Fu, Antony Lam, Imari Sato, Yoichi Sato:
Adaptive Spatial-Spectral Dictionary Learning for Hyperspectral Image Denoising. 343-351 - Longquan Dai, Mengke Yuan, Feihu Zhang, Xiaopeng Zhang:
Fully Connected Guided Image Filtering. 352-360 - Feihu Zhang, Longquan Dai, Shiming Xiang, Xiaopeng Zhang:
Segment Graph Based Image Filtering: Fast Structure-Preserving Smoothing. 361-369 - Zhaowen Wang, Ding Liu, Jianchao Yang, Wei Han, Thomas S. Huang:
Deep Networks for Image Super-Resolution with Sparse Prior. 370-378 - Jonathan T. Barron:
Convolutional Color Constancy. 379-387 - Daniel Zoran, Phillip Isola, Dilip Krishnan, William T. Freeman:
Learning Ordinal Relationships for Mid-Level Vision. 388-396 - Dmitrii Marin, Yuchen Zhong, Maria Drangova, Yuri Boykov:
Thin Structure Estimation with Curvature Regularization. 397-405 - Wenbin Zou, Nikos Komodakis:
HARF: Hierarchy-Associated Rich Features for Salient Object Detection. 406-414 - Zezhou Cheng, Qingxiong Yang, Bin Sheng:
Deep Colorization. 415-423 - Levent Karacan, Aykut Erdem, Erkut Erdem:
Image Matting with KL-Divergence Based Sparse Sampling. 424-432 - Pierre-Yves Laffont, Jean-Charles Bazin:
Intrinsic Decomposition of Image Sequences from Local Temporal Variations. 433-441 - Weisheng Dong, Guangyu Li, Guangming Shi, Xin Li, Yi Ma:
Low-Rank Tensor Approximation with Laplacian Scale Mixture Modeling for Multiframe Image Denoising. 442-449 - Yongbo Li, Weisheng Dong, Guangming Shi, Xuemei Xie:
Learning Parametric Distributions for Image Super-Resolution: Where Patch Matching Meets Sparse Coding. 450-458 - Xing Mei, Honggang Qi, Bao-Gang Hu, Siwei Lyu:
Improving Image Restoration with Soft-Rounding. 459-467 - Walon Wei-Chen Chiu, Mario Fritz:
See the Difference: Direct Pre-Image Reconstruction and Pose Estimation by Differentiating HOG. 468-476 - Guangyong Chen, Fengyuan Zhu, Pheng-Ann Heng:
An Efficient Statistical Method for Image Noise Level Estimation. 477-485 - Francisco Barranco, Ching Lik Teo, Cornelia Fermüller, Yiannis Aloimonos:
Contour Detection and Characterization for Asynchronous Event Sensors. 486-494 - Saeed Anwar, Cong Phuoc Huynh, Fatih Porikli:
Class-Specific Image Deblurring. 495-503 - Gedas Bertasius, Jianbo Shi, Lorenzo Torresani:
High-for-Low and Low-for-High: Efficient Boundary Detection from Deep Object Features and Its Applications to High-Level Vision. 504-512 - David Ferstl, Matthias Rüther, Horst Bischof:
Variational Depth Superresolution Using Example-Based Edge Representations. 513-521 - Gernot Riegler, Samuel Schulter, Matthias Rüther, Horst Bischof:
Conditioned Regression Models for Non-blind Single Image Super-Resolution. 522-530 - Renjie Liao, Xin Tao, Ruiyu Li, Ziyang Ma, Jiaya Jia:
Video Super-Resolution via Deep Draft-Ensemble Learning. 531-539 - Yiyong Jiang, Xinghao Ding, Delu Zeng, Yue Huang, John W. Paisley:
Pan-Sharpening with a Hyper-Laplacian Penalty. 540-548 - Xiaolin Wu, Zhenhao Li, Xiaowei Deng:
Video Restoration Against Yin-Yang Phasing. 549-557 - Abhijith Punnappurath, Vijay Rengarajan, A. N. Rajagopalan:
Rolling Shutter Super-Resolution. 558-566 - Aditya Deshpande, Jason Rock, David A. Forsyth:
Learning Large-Scale Automatic Image Colorization. 567-575 - Chao Dong, Yubin Deng, Chen Change Loy, Xiaoou Tang:
Compression Artifacts Reduction by a Deep Convolutional Network. 576-584 - Takahiro Hasegawa, Mitsuru Ambai, Kohta Ishikawa, Gou Koutaki, Yuji Yamauchi, Takayoshi Yamashita, Hironobu Fujiyoshi:
Multiple-Hypothesis Affine Region Estimation with Anisotropic LoG Filters. 585-593 - Dingwen Zhang, Deyu Meng, Chao Li, Lu Jiang, Qian Zhao, Junwei Han:
A Self-Paced Multiple-Instance Learning Framework for Co-Saliency Detection. 594-602 - Fei Chen, Lei Zhang, Huimin Yu:
External Patch Prior Guided Internal Clustering for Image Denoising. 603-611 - Michael Hirsch, Bernhard Schölkopf:
Self-Calibration of Optical Lenses. 612-620 - Yuanliu Liu, Zejian Yuan, Badong Chen, Jianru Xue, Nanning Zheng:
Illumination Robust Color Naming via Label Propagation. 621-629 - Raviteja Vemulapalli, Hien Van Nguyen, Shaohua Kevin Zhou:
Unsupervised Cross-Modal Synthesis of Subject-Specific Scans. 630-638 - Lin Gu, Li Cheng:
Learning to Boost Filamentary Structure Segmentation. 639-647 - Gustavo Carneiro, Tingying Peng, Christine Bayer, Nassir Navab:
Weakly-Supervised Structured Output Learning with Flexible and Latent Graphs Using High-Order Loss Functions. 648-656 - Toufiq Parag, Dan C. Ciresan, Alessandro Giusti:
Efficient Classifier Training to Minimize False Merges in Electron Microscopy Segmentation. 657-665 - Won Hwa Kim, Sathya N. Ravi, Sterling C. Johnson, Ozioma C. Okonkwo, Vikas Singh:
On Statistical Analysis of Neuroimages with Imperfect Registration. 666-674
S-1A: Plenary Session
- Steven Diamond, Stephen P. Boyd:
Convex Optimization with Abstract Linear Operators. 675-683
P-1B: Recognition and 3D Computer Vision I
- Calvin Murdock, Nathan Jacobs, Robert Pless:
Building Dynamic Cloud Maps from the Ground Up. 684-692 - David Joseph Tan, Federico Tombari, Slobodan Ilic, Nassir Navab:
A Versatile Learning-Based 3D Temporal Tracker: Scalable, Robust, Online. 693-701 - Juan Jose Tarrio, Sol Pedre:
Realtime Edge-Based Visual Odometry for a Monocular Camera. 702-710 - Lap-Fai Yu, Noah Duncan, Sai Kit Yeung:
Fill and Transfer: A Simple Physics-Based Approach for Containability Reasoning. 711-719 - Ole Johannsen, Antonin Sulc, Bastian Goldluecke:
On Linear Structure from Motion for Light Field Cameras. 720-728 - Dimitrios Tzionas, Juergen Gall:
3D Object Reconstruction from Hand-Object Interactions. 729-737 - Enliang Zheng, Ke Wang, Enrique Dunn, Jan-Michael Frahm:
Minimal Solvers for 3D Geometry from Satellite Imagery. 738-746 - Jonathan Ventura, Clemens Arth, Vincent Lepetit:
An Efficient Minimal Solution for Multi-camera Motion. 747-755 - Antonio Agudo, Francesc Moreno-Noguer:
Learning Shape, Motion and Elastic Models in Force Space. 756-764 - Helge Rhodin, Nadia Robertini, Christian Richardt, Hans-Peter Seidel, Christian Theobalt:
A Versatile Scene Model with Differentiable Visibility Applied to Generative Pose Estimation. 765-773 - Jeremie Papon, Markus Schoeler:
Semantic Pose Using Deep Networks Trained on Synthetic RGB-D. 774-782 - Simon Hadfield, Richard Bowden:
Exploiting High Level Scene Cues in Stereo Reconstruction. 783-791 - Simon Donné, Bart Goossens, Wilfried Philips:
Point Triangulation through Polyhedron Collapse Using the l∞ Norm. 792-800 - Chris Sweeney, Torsten Sattler, Tobias Höllerer, Matthew A. Turk, Marc Pollefeys:
Optimizing the Viewing Graph for Structure-from-Motion. 801-809 - Mohammed Hachama, Bernard Ghanem, Peter Wonka:
Intrinsic Scene Decomposition from RGB-D Images. 810-818 - Peiyi Li, Haibin Ling, Xi Li, Chunyuan Liao:
3D Hand Pose Estimation Using Randomized Decision Forest with Segmentation Index Points. 819-827 - Hyowon Ha, Yunsu Bok, Kyungdon Joo, Jiyoung Jung, In-So Kweon:
Accurate Camera Calibration Robust to Defocus Using a Smartphone. 828-836 - Sunghoon Im, Hyowon Ha, Gyeongmin Choe, Hae-Gon Jeon, Kyungdon Joo, In-So Kweon:
High Quality Structure from Small Motion for Rolling Shutter Cameras. 837-845 - Paulo F. U. Gotardo, Tomas Simon, Yaser Sheikh, Iain A. Matthews:
Photogeometric Scene Flow for High-Detail Dynamic 3D Reconstruction. 846-854 - Ching-Hui Chen, Hui Zhou, Timo Ahonen:
Blur-Aware Disparity Estimation from Defocus Stereo Images. 855-863 - Zhaopeng Cui, Ping Tan:
Global Structure-from-Motion by Similarity Averaging. 864-872 - Silvano Galliani, Katrin Lasinger, Konrad Schindler:
Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. 873-881 - Philipp Heise, Brian Jensen, Sebastian Klose, Alois C. Knoll:
Variational PatchMatch MultiView Reconstruction and Refinement. 882-890 - Shaifali Parashar, Daniel Pizarro, Adrien Bartoli, Toby Collins:
As-Rigid-as-Possible Volumetric Shape-from-Template. 891-899 - Armin Mustafa, Hansung Kim, Jean-Yves Guillemaut, Adrian Hilton:
General Dynamic Scene Reconstruction from Multiple View Video. 900-908 - Matthew Trager, Martial Hebert, Jean Ponce:
The Joint Image Handbook. 909-917 - Rui Yu, Chris Russell, Neill D. F. Campbell, Lourdes Agapito:
Direct, Dense, and Deformable: Template-Based Non-rigid 3D Reconstruction from RGB Video. 918-926 - Menglong Zhu, Xiaowei Zhou, Kostas Daniilidis:
Single Image Pop-Up from Discriminatively Learned Parts. 927-935 - Arun Mallya, Svetlana Lazebnik:
Learning Informative Edge Maps for Indoor Scene Layout Prediction. 936-944 - Hang Su, Subhransu Maji, Evangelos Kalogerakis, Erik G. Learned-Miller:
Multi-view Convolutional Neural Networks for 3D Shape Recognition. 945-953 - Alexander Krull, Eric Brachmann, Frank Michel, Michael Ying Yang, Stefan Gumhold, Carsten Rother:
Learning Analysis-by-Synthesis for 6D Pose Estimation in RGB-D Images. 954-962 - Matea Donlic, Tomislav Petkovic, Tomislav Pribanic:
3D Surface Profilometry Using Phase Shifting of De Bruijn Pattern. 963-971 - Zhuoyuan Chen, Xun Sun, Liang Wang, Yinan Yu, Chang Huang:
A Deep Visual Correspondence Embedding Model for Stereo Matching Costs. 972-980 - Michael J. Wilber, Iljung S. Kwak, David J. Kriegman, Serge J. Belongie:
Learning Concept Embeddings with Combined Human-Machine Expertise. 981-989 - Xin Lu, Zhe Lin, Xiaohui Shen, Radomír Mech, James Z. Wang:
Deep Multi-patch Aggregation Network for Image Style, Aesthetics, and Quality Estimation. 990-998 - Xiaodan Liang, Si Liu, Yunchao Wei, Luoqi Liu, Liang Lin, Shuicheng Yan:
Towards Computational Baby Learning: A Weakly-Supervised Approach for Object Detection. 999-1007 - Kevin D. Tang, Manohar Paluri, Li Fei-Fei, Robert Fergus, Lubomir D. Bourdev:
Improving Image Classification with Location Context. 1008-1016 - Yu-Wei Chao, Zhan Wang, Yugeng He, Jiaxuan Wang, Jia Deng:
HICO: A Benchmark for Recognizing Human-Object Interactions in Images. 1017-1025 - Kaiming He, Xiangyu Zhang, Shaoqing Ren, Jian Sun:
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification. 1026-1034 - Michele Fenzi, Laura Leal-Taixé, Jörn Ostermann, Tinne Tuytelaars:
Continuous Pose Estimation with a Spatial Ensemble of Fisher Regressors. 1035-1043 - Fatih Çakir, Stan Sclaroff:
Adaptive Hashing for Fast Similarity Search. 1044-1052 - David F. Fouhey, Wajahat Hussain, Abhinav Gupta, Martial Hebert:
Single Image 3D without a Single 3D Image. 1053-1061 - Junshi Huang, Rogério Schmidt Feris, Qiang Chen, Shuicheng Yan:
Cross-Domain Image Retrieval with a Dual Attribute-Aware Ranking Network. 1062-1070 - Nikita Prabhu, R. Venkatesh Babu:
Attribute-Graph: A Graph Based Approach to Image Ranking. 1071-1079 - Georgia Gkioxari, Ross B. Girshick, Jitendra Malik:
Contextual Action Recognition with R*CNN. 1080-1088 - Rachit Dubey, Joshua C. Peterson, Aditya Khosla, Ming-Hsuan Yang, Bernard Ghanem:
What Makes an Object Memorable? 1089-1097 - Kun Ding, Chunlei Huo, Bin Fan, Chunhong Pan:
kNN Hashing with Factorized Neighborhood Representation. 1098-1106 - Xianglong Liu, Lei Huang, Cheng Deng, Jiwen Lu, Bo Lang:
Multi-View Complementary Hash Tables for Nearest Neighbor Search. 1107-1115 - Liang Zheng, Liyue Shen, Lu Tian, Shengjin Wang, Jingdong Wang, Qi Tian:
Scalable Person Re-identification: A Benchmark. 1116-1124 - Anran Wang, Jianfei Cai, Jiwen Lu, Tat-Jen Cham:
MMSS: Multi-modal Sharable and Specific Feature Learning for RGB-D Object Recognition. 1125-1133 - Spyros Gidaris, Nikos Komodakis:
Object Detection via a Multi-region and Semantic Segmentation-Aware CNN Model. 1134-1142 - Marcel Simon, Erik Rodner:
Neural Activation Constellations: Unsupervised Part Model Discovery with Convolutional Networks. 1143-1151 - David R. Novotny, Jiri Matas:
Cascaded Sparse Spatial Bins for Efficient and Effective Generic Object Detection. 1152-1160 - Nan Ding, Jia Deng, Kevin P. Murphy, Hartmut Neven:
Probabilistic Label Relation Graphs with Ising Models. 1161-1169 - Hyo Jin Kim, Enrique Dunn, Jan-Michael Frahm:
Predicting Good Features for Image Geo-Localization Using Per-Bundle VLAD. 1170-1178 - Guo-Sen Xie, Xu-Yao Zhang, Xiangbo Shu, Shuicheng Yan, Cheng-Lin Liu:
Task-Driven Feature Pooling for Image Classification. 1179-1187 - Sarah Taghavi Namin, Mohammad Najafi, Mathieu Salzmann, Lars Petersson:
Cutting Edge: Soft Correspondences in Multimodal Scene Parsing. 1188-1196 - Alex Wong, Alan L. Yuille:
One Shot Learning via Compositions of Meaningful Patches. 1197-1205 - Michal Busta, Lukás Neumann, Jiri Matas:
FASText: Efficient Unconstrained Scene Text Detector. 1206-1214 - Songfan Yang, Deva Ramanan:
Multi-scale Recognition with DAG-CNNs. 1215-1223 - Xinggang Wang, Zhuotun Zhu, Cong Yao, Xiang Bai:
Relaxed Multiple-Instance SVM with Application to Object Discovery. 1224-1232 - Austin Myers, Nick Johnston, Vivek Rathod, Anoop Korattikara, Alexander N. Gorban, Nathan Silberman, Sergio Guadarrama, George Papandreou, Jonathan Huang, Kevin Murphy:
Im2Calories: Towards an Automated Mobile Vision Food Diary. 1233-1241 - Albert Gordo, Jon Almazán, Naila Murray, Florent Perronnin:
LEWIS: Latent Embeddings for Word Images and Their Semantics. 1242-1250 - Borislav Antic, Björn Ommer:
Per-Sample Kernel Adaptation for Visual Recognition and Grouping. 1251-1259 - Wei Feng, Fei-Peng Tian, Qian Zhang, Nan Zhang, Liang Wan, Jizhou Sun:
Fine-Grained Change Detection of Misaligned Scenes with Varied Illuminations. 1260-1268 - Artem Babenko, Victor S. Lempitsky:
Aggregating Local Deep Features for Image Retrieval. 1269-1277 - Xingchao Peng, Baochen Sun, Karim Ali, Kate Saenko:
Learning Deep Object Detectors from 3D Models. 1278-1286 - Ruobing Wu, Baoyuan Wang, Wenping Wang, Yizhou Yu:
Harvesting Discriminative Meta Objects with Deep CNN Features for Scene Classification. 1287-1295 - Gaurav Sharma, Bernt Schiele:
Scalable Nonlinear Embeddings for Semantic Category-Based Image Retrieval. 1296-1304 - Jorge García, Niki Martinel, Christian Micheloni, Alfredo Gardel Vicente:
Person Re-Identification Ranking Optimisation by Discriminant Context Information Analysis. 1305-1313 - Nima Sedaghat, Thomas Brox:
Unsupervised Generation of a View Point Annotated Car Dataset from Videos. 1314-1322
O-1B: 3D Vision
- Satoshi Ikehata, Hang Yang, Yasutaka Furukawa:
Structured Indoor Modeling. 1323-1331 - Ricardo Martin-Brualla, David Gallup, Steven M. Seitz:
3D Time-Lapse Reconstruction from Internet Photos. 1332-1340 - Benjamin Ummenhofer, Thomas Brox:
Global, Dense Multiscale Reconstruction for a Billion Points. 1341-1349 - Sagi Katz, Ayellet Tal:
On the Visibility of Point Clouds. 1350-1358
O-2A: Segmentation, Edges and Saliency
- Niloufar Pourian, S. Karthikeyan, B. S. Manjunath:
Weakly Supervised Graph Based Semantic Segmentation by Learning Communities of Image-Parts. 1359-1367 - Yizhou Yu, Chaowei Fang, Zicheng Liao:
Piecewise Flat Embedding for Image Segmentation. 1368-1376 - Ziwei Liu, Xiaoxiao Li, Ping Luo, Chen Change Loy, Xiaoou Tang:
Semantic Image Segmentation via Deep Parsing Network. 1377-1385 - Xiaodan Liang, Chunyan Xu, Xiaohui Shen, Jianchao Yang, Si Liu, Jinhui Tang, Liang Lin, Shuicheng Yan:
Human Parsing with Contextualized Convolutional Neural Network. 1386-1394 - Saining Xie, Zhuowen Tu:
Holistically-Nested Edge Detection. 1395-1403 - Jianming Zhang, Stan Sclaroff, Zhe Lin, Xiaohui Shen, Brian L. Price, Radomír Mech:
Minimum Barrier Salient Object Detection at 80 FPS. 1404-1412
O-2B: Learning Representations and Attributes
- Dinesh Jayaraman, Kristen Grauman:
Learning Image Representations Tied to Ego-Motion. 1413-1421 - Carl Doersch, Abhinav Gupta, Alexei A. Efros:
Unsupervised Visual Representation Learning by Context Prediction. 1422-1430 - Xinlei Chen, Abhinav Gupta:
Webly Supervised Learning of Convolutional Networks. 1431-1439 - Ross B. Girshick:
Fast R-CNN. 1440-1448 - Tsung-Yu Lin, Aruni RoyChowdhury, Subhransu Maji:
Bilinear CNN Models for Fine-Grained Visual Recognition. 1449-1457 - Fanyi Xiao, Yong Jae Lee:
Discovering the Spatial Extent of Relative Attributes. 1458-1466
O-2C: Statistical Methods and Learning
- Peter Kontschieder, Madalina Fiterau, Antonio Criminisi, Samuel Rota Bulò:
Deep Neural Decision Forests. 1467-1475 - Zichao Yang, Marcin Moczulski, Misha Denil, Nando de Freitas, Alexander J. Smola, Le Song, Ziyu Wang:
Deep Fried Convnets. 1476-1483 - Calvin Murdock, Fernando De la Torre:
Semantic Component Analysis. 1484-1492 - Xiangyong Cao, Yang Chen, Qian Zhao, Deyu Meng, Yao Wang, Dong Wang, Zongben Xu:
Low-Rank Matrix Factorization under General Mixture Noise Distributions. 1493-1501 - Yannis Avrithis, Yannis Kalantidis, Evangelos Anagnostopoulos, Ioannis Z. Emiris:
Web-Scale Image Clustering Revisited. 1502-1510 - Yan Xia, Xudong Cao, Fang Wen, Gang Hua, Jian Sun:
Learning Discriminative Reconstructions for Unsupervised Outlier Removal. 1511-1519
P-2A: Optimization, Segmentation, and Recognition
- Hyeonwoo Noh, Seunghoon Hong, Bohyung Han:
Learning Deconvolution Network for Semantic Segmentation. 1520-1528 - Shuai Zheng, Sadeep Jayasumana, Bernardino Romera-Paredes, Vibhav Vineet, Zhizhong Su, Dalong Du, Chang Huang, Philip H. S. Torr:
Conditional Random Fields as Recurrent Neural Networks. 1529-1537 - Mikael Nilsson:
The One Triangle Three Parallelograms Sampling Strategy and Its Application in Shape Regression. 1538-1545 - Jordi Pont-Tuset, Luc Van Gool:
Boosting Object Proposals: From Pascal to COCO. 1546-1554 - Meng Tang, Ismail Ben Ayed, Dmitrii Marin, Yuri Boykov:
Secrets of GrabCut and Kernel K-Means. 1555-1563 - Dongqing Zou, Xiaowu Chen, Guangying Cao, Xiaogang Wang:
Video Matting via Sparse and Low-Rank Representation. 1564-1572 - Peng Wang, Xiaohui Shen, Zhe Lin, Scott Cohen, Brian L. Price, Alan L. Yuille:
Joint Object and Part Segmentation Using Deep Learned Potentials. 1573-1581 - Changqing Zhang, Huazhu Fu, Si Liu, Guangcan Liu, Xiaochun Cao:
Low-Rank Tensor Constrained Multiview Subspace Clustering. 1582-1590 - Jiangping Wang, Kai Ma, Vivek Kumar Singh, Thomas S. Huang, Terrence Chen:
BodyPrint: Pose Invariant 3D Shape Matching of Human Bodies. 1591-1599 - Ahmad Humayun, Fuxin Li, James M. Rehg:
The Middle Child Problem: Revisiting Parametric Min-Cut and Seeds for Object Proposals. 1600-1608 - Yuanqi Su, Yuehu Liu, Bonan Cuan, Nanning Zheng:
Contour Guided Hierarchical Model for Shape Matching. 1609-1617 - Xiang Fu, Chien-Yi Wang, Chen Chen, Changhu Wang, C.-C. Jay Kuo:
Robust Image Segmentation Using Contour-Guided Color Palettes. 1618-1625 - Ekaterina Lobacheva, Olga Veksler, Yuri Boykov:
Joint Optimization of Segmentation and Color Clustering. 1626-1634 - Jifeng Dai, Kaiming He, Jian Sun:
BoxSup: Exploiting Bounding Boxes to Supervise Convolutional Networks for Semantic Segmentation. 1635-1643 - Ching Lik Teo, Cornelia Fermüller, Yiannis Aloimonos:
Detection and Segmentation of 2D Curved Reflection Symmetric Structures. 1644-1652 - Mihai Marian Puscas, Enver Sangineto, Dubravko Culibrk, Nicu Sebe:
Unsupervised Tube Extraction Using Transductive Learning and Dense Trajectories. 1653-1661 - Mete Ozay, Ümit Rusen Aktas, Jeremy L. Wyatt, Ales Leonardis:
Compositional Hierarchical Representation of Shape Manifolds for Classification of Non-manifold Shapes. 1662-1670 - Chao Zhang, Behrend Heeren, Martin Rumpf, William A. P. Smith:
Shell PCA: Statistical Shape Modelling in Shell Space. 1671-1679 - Tom Sie Ho Lee, Sanja Fidler, Sven J. Dickinson:
Learning to Combine Mid-Level Cues for Object Proposal Generation. 1680-1688 - Gellért Máttyus, Shenlong Wang, Sanja Fidler, Raquel Urtasun:
Enhancing Road Maps by Parsing Aerial Images Around the World. 1689-1697 - Julia Krüger, Jan Ehrhardt, Heinz Handels:
Probabilistic Appearance Models for Segmentation and Classification. 1698-1706 - Hyojin Kim, Jayaraman J. Thiagarajan, Peer-Timo Bremer:
A Randomized Ensemble Approach to Industrial CT Segmentation. 1707-1715 - Selene E. Chew, Nathan D. Cahill:
Semi-Supervised Normalized Cuts for Image Segmentation. 1716-1723 - Ran Ju, Tongwei Ren, Gangshan Wu:
StereoSnakes: Contour Based Consistent Object Extraction for Stereo Images. 1724-1732 - Zhuo Deng, Sinisa Todorovic, Longin Jan Latecki:
Semantic Segmentation of RGBD Images with Mutex Constraints. 1733-1741 - George Papandreou, Liang-Chieh Chen, Kevin P. Murphy, Alan L. Yuille:
Weakly-and Semi-Supervised Learning of a Deep Convolutional Network for Semantic Image Segmentation. 1742-1750 - Margret Keuper, Evgeny Levinkov, Nicolas Bonneel, Guillaume Lavoué, Thomas Brox, Bjoern Andres:
Efficient Decomposition of Image and Mesh Graphs by Lifted Multicuts. 1751-1759 - Puneet Kumar Dokania, M. Pawan Kumar:
Parsimonious Labeling. 1760-1768 - Yuri Boykov, Hossam N. Isack, Carl Olsson, Ismail Ben Ayed:
Volumetric Bias in Segmentation and Reconstruction: Secrets and Solutions. 1769-1777 - Mohamed Souiai, Martin R. Oswald, Youngwook Kee, Junmo Kim, Marc Pollefeys, Daniel Cremers:
Entropy Minimization for Convex Relaxation Approaches. 1778-1786 - Xiaobo Wang, Xiaojie Guo, Stan Z. Li:
Adaptively Unified Semi-Supervised Dictionary Learning with Active Points. 1787-1795 - Deepak Pathak, Philipp Krähenbühl, Trevor Darrell:
Constrained Convolutional Neural Networks for Weakly Supervised Segmentation. 1796-1804 - Omer Meir, Meirav Galun, Stav Yagev, Ronen Basri, Irad Yavneh:
A Multiscale Variable-Grouping Framework for MRF Energy Minimization. 1805-1813 - Alexander Kirillov, Bogdan Savchynskyy, Dmitrij Schlesinger, Dmitry P. Vetrov, Carsten Rother:
Inferring M-Best Diverse Labelings in a Single One. 1814-1822 - Shuhang Gu, Wangmeng Zuo, Qi Xie, Deyu Meng, Xiangchu Feng, Lei Zhang:
Convolutional Sparse Coding for Image Super-Resolution. 1823-1831 - Brais Cancela, Marcos Ortega, Manuel G. Penedo:
A Wavefront Marching Method for Solving the Eikonal Equation on Cartesian Grids. 1832-1840 - Seong Jae Hwang, Maxwell D. Collins, Sathya N. Ravi, Vamsi K. Ithapu, Nagesh Adluru, Sterling C. Johnson, Vikas Singh:
A Projection Free Method for Generalized Eigenvalue Problem with a Nonsmooth Regularizer. 1841-1849 - Faruk Ahmed, Daniel Tarlow, Dhruv Batra:
Optimizing Expected Intersection-Over-Union with Candidate-Constrained CRFs. 1850-1858 - Jian Zhang, Josip Djolonga, Andreas Krause:
Higher-Order Inference for Multi-class Log-Supermodular Models. 1859-1867 - James Steven Supancic III, Grégory Rogez, Yi Yang, Jamie Shotton, Deva Ramanan:
Depth-Based Hand Pose Estimation: Data, Methods, and Challenges. 1868-1876 - Xiaomeng Wu, Kunio Kashino:
Adaptive Dither Voting for Robust Spatial Verification. 1877-1885 - Go Irie, Hiroyuki Arai, Yukinobu Taniguchi:
Alternating Co-Quantization for Cross-Modal Hashing. 1886-1894 - Wanli Ouyang, Hongyang Li, Xingyu Zeng, Xiaogang Wang:
Learning Deep Representation with Large-Scale Attributes. 1895-1903 - Yonglong Tian, Ping Luo, Xiaogang Wang, Xiaoou Tang:
Deep Learning Strong Parts for Pedestrian Detection. 1904-1912 - Tomas Pfister, James Charles, Andrew Zisserman:
Flowing ConvNets for Human Pose Estimation in Videos. 1913-1921 - Dongjin Song, Wei Liu, Rongrong Ji, David A. Meyer, John R. Smith:
Top Rank Supervised Binary Coding for Visual Search. 1922-1930 - Kevin Matzen, Noah Snavely:
BubbLeNet: Foveated Imaging for Visual Discovery. 1931-1939 - Yusuke Matsui, Toshihiko Yamasaki, Kiyoharu Aizawa:
PQTable: Fast Exact Asymmetric Distance Neighbor Search for Product Quantization Using Hash Tables. 1940-1948 - Sven Bambach, Stefan Lee, David J. Crandall, Chen Yu:
Lending A Hand: Detecting Hands and Recognizing Activities in Complex Egocentric Interactions. 1949-1957 - Donghoon Lee, Ming-Hsuan Yang, Songhwai Oh:
Fast and Accurate Head Pose Estimation via Random Projection Forests. 1958-1966 - Duc Thanh Nguyen, Minh-Khoi Tran, Sai-Kit Yeung:
An MRF-Poselets Model for Detecting Highly Articulated Humans. 1967-1975 - Lianrui Fu, Junge Zhang, Kaiqi Huang:
Beyond Tree Structure Models: A New Occlusion Aware Graphical Model for Human Pose Estimation. 1976-1984 - Jianlong Fu, Yue Wu, Tao Mei, Jinqiao Wang, Hanqing Lu, Yong Rui:
Relaxing from Vocabulary: Robust Weakly-Supervised Deep Learning for Vocabulary-Free Image Tagging. 1985-1993 - Vijay Kumar, Anoop M. Namboodiri, C. V. Jawahar:
Visual Phrases for Exemplar Face Detection. 1994-2002 - Damian Mrowca, Marcus Rohrbach, Judy Hoffman, Ronghang Hu, Kate Saenko, Trevor Darrell:
Spatial Semantic Regularisation for Large Scale Object Detection. 2003-2011 - Dong Zhang, Mubarak Shah:
Human Pose Estimation in Videos. 2012-2020 - Cewu Lu, Shu Liu, Jiaya Jia, Chi-Keung Tang:
Contour Box: Rejecting Object Proposals without Explicit Closed Contours. 2021-2029
O-3A: Registration, Alignment and Stereo
- Tobias Plötz, Stefan Roth:
Registering Images to Untextured Geometry Using Average Shading Gradients. 2030-2038 - Qifeng Chen, Vladlen Koltun:
Robust Nonrigid Registration by Convex Optimization. 2039-2047 - Danda Pani Paudel, Adlane Habed, Cédric Demonceaux, Pascal Vasseur:
Robust and Optimal Sum-of-Squares-Based Point-to-Plane Registration of Image Sets and Structured Scenes. 2048-2056 - Chi Zhang, Zhiwei Li, Yanhua Cheng, Rui Cai, Hongyang Chao, Yong Rui:
MeshStereo: A Global Stereo Model with Mesh Alignment Regularization for View Interpolation. 2057-2065 - Oliver Zendel, Markus Murschitz, Martin Humenberger, Wolfgang Herzner:
CV-HAZOP: Introducing Test Data Validation for Computer Vision. 2066-2074
P-3A: Recognition and 3D Computer Vision II
- Enliang Zheng, Changchang Wu:
Structure from Motion Using Structure-Less Resection. 2075-2083 - Runze Zhang, Shiwei Li, Tian Fang, Siyu Zhu, Long Quan:
Joint Camera Clustering and Surface Segmentation for Large-Scale Multi-view Stereo. 2084-2092 - Jingbo Liu, Jinglu Wang, Tian Fang, Chiew-Lan Tai, Long Quan:
Higher-Order CRF Structural Segmentation of 3D Reconstructed Surfaces. 2093-2101 - Torsten Sattler, Michal Havlena, Filip Radenovic, Konrad Schindler, Marc Pollefeys:
Hyperpoints and Fine Vocabularies for Large-Scale Location Recognition. 2102-2110 - Mark Brown, David Windridge, Jean-Yves Guillemaut:
Globally Optimal 2D-3D Registration from Points or Lines without Correspondences. 2111-2119 - Katrin Honauer, Lena Maier-Hein, Daniel Kondermann:
The HCI Stereo Metrics: Geometry-Aware Performance Analysis of Stereo Algorithms. 2120-2128 - Andrea Cohen, Torsten Sattler, Marc Pollefeys:
Merging the Unmatchable: Stitching Visually Disconnected SfM Models. 2129-2137 - Kang Zhang, Wuyi Yu, Mary Manhein, Warren N. Waggenspack, Xin Li:
3D Fragment Reassembly Using Integrated Template Guidance and Fracture-Region Matching. 2138-2146 - Ilke Demir, Daniel G. Aliaga, Bedrich Benes:
Procedural Editing of 3D Building Point Clouds. 2147-2155 - Randi Cabezas, Julian Straub, John W. Fisher III:
Semantically-Aware Aerial Reconstruction from Multi-modal Data. 2156-2164 - Álvaro Parra Bustos, Tat-Jun Chin:
Guaranteed Outlier Removal for Rotation Search. 2165-2173 - Simon Korman, Eyal Ofek, Shai Avidan:
Peeking Template Matching for Depth Extension. 2174-2182 - WeiPeng Xu, Mathieu Salzmann, Yongtian Wang, Yue Liu:
Deformable 3D Fusion: From Partial Dynamic 3D Observations to Complete 4D Models. 2183-2191 - Federico Camposeco, Torsten Sattler, Marc Pollefeys:
Non-parametric Structure-Based Calibration of Radially Symmetric Cameras. 2192-2200 - Chen Zhou, Fatma Güney, Yizhou Wang, Andreas Geiger:
Exploiting Object Similarity in 3D Reconstruction. 2201-2209 - Hang Chu, Dong Ki Kim, Tsuhan Chen:
You are Here: Mimicking the Human Thinking Process in Reading Floor-Plans. 2210-2218 - Eric T. Psota, Jedrzej Kowalczuk, Mateusz Mittek, Lance C. Pérez:
MAP Disparity Estimation Using Hidden Markov Trees. 2219-2227 - Meirav Galun, Tal Amir, Tal Hassner, Ronen Basri, Yaron Lipman:
Wide Baseline Stereo Matching with Convex Bounded Distortion Constraints. 2228-2236 - Xinxin Zuo, Chao Du, Sen Wang, Jiangbin Zheng, Ruigang Yang:
Interactive Visual Hull Refinement for Specular and Transparent Object Surface Reconstruction. 2237-2245 - Trung-Thanh Pham, Ian D. Reid, Yasir Latif, Stephen Gould:
Hierarchical Higher-Order Regression Forest Fields: An Application to 3D Indoor Scene Labelling. 2246-2254 - Gil Shamai, Yonathan Aflalo, Michael Zibulevsky, Ron Kimmel:
Classical Scaling Revisited. 2255-2263 - Christian Kerl, Jörg Stückler, Daniel Cremers:
Dense Continuous-Time Tracking and Mapping with Rolling Shutter RGB-D Cameras. 2264-2272 - Dat Tien Ngo, Sanghyuk Park, Anne Jorstad, Alberto Crivellaro, Chang Dong Yoo, Pascal Fua:
Dense Image Registration and Deformable Surface Reconstruction in Presence of Occlusions and Minimal Texture. 2273-2281 - Andrea Cohen, Christopher Zach:
The Likelihood-Ratio Test and Efficient Robust Estimation. 2282-2290 - Rahul Nair, Andrew W. Fitzgibbon, Daniel Kondermann, Carsten Rother:
Reflection Modeling for Passive Stereo. 2291-2299 - Federica Bogo, Michael J. Black, Matthew Loper, Javier Romero:
Detailed Full-Body Reconstructions of Moving People from Monocular RGB-D Sequences. 2300-2308 - Zuzana Kukelova, Jan Heller, Martin Bujnak, Andrew W. Fitzgibbon, Tomás Pajdla:
Efficient Solution to the Epipolar Geometry for Radially Distorted Cameras. 2309-2317 - Samuele Salti, Federico Tombari, Riccardo Spezialetti, Luigi Di Stefano:
Learning a Descriptor-Specific 3D Keypoint Detector. 2318-2326 - Valsamis Ntouskos, Marta Sanzari, Bruno Cafaro, Federico Nardi, Fabrizio Natola, Fiora Pirri, Manuel A. Ruiz Garcia:
Component-Wise Modeling of Articulated Objects. 2327-2335 - Chiho Choi, Ayan Sinha, Joon Hee Choi, Sujin Jang, Karthik Ramani:
A Collaborative Filtering Approach to Real-Time Hand Pose Estimation. 2336-2344 - Avinash Kumar, Narendra Ahuja:
On the Equivalence of Moving Entrance Pupil and Radial Distortion for Camera Calibration. 2345-2353 - Mai Nishimura, Shohei Nobuhara, Takashi Matsuyama, Shinya Shimizu, Kensaku Fujii:
A Linear Generalized Camera Calibration from Three Intersecting Reference Planes. 2354-2362 - Irina Nurutdinova, Andrew W. Fitzgibbon:
Towards Pointless Structure from Motion: 3D Reconstruction and Camera Parameters from General 3D Curves. 2363-2371 - Seyoung Park, Song-Chun Zhu:
Attributed Grammars for Joint Estimation of Human Attributes, Part and Pose. 2372-2380 - Roman Juránek, Adam Herout, Markéta Dubská, Pavel Zemcík:
Real-Time Pose Estimation Piggybacked on Object Detection. 2381-2389 - Aditya Khosla, Akhil S. Raju, Antonio Torralba, Aude Oliva:
Understanding and Predicting Image Memorability at a Large Scale. 2390-2398 - Dequan Wang, Zhiqiang Shen, Jie Shao, Wei Zhang, Xiangyang Xue, Zheng Zhang:
Multiple Granularity Descriptors for Fine-Grained Categorization. 2399-2406 - Xu Jia, Efstratios Gavves, Basura Fernando, Tinne Tuytelaars:
Guiding the Long-Short Term Memory Model for Image Caption Generation. 2407-2415 - Aron Yu, Kristen Grauman:
Just Noticeable Differences in Visual Attributes. 2416-2424 - Stanislaw Antol, Aishwarya Agrawal, Jiasen Lu, Margaret Mitchell, Dhruv Batra, C. Lawrence Zitnick, Devi Parikh:
VQA: Visual Question Answering. 2425-2433 - Guoyu Lu, Yan Yan, Li Ren, Jingkuan Song, Nicu Sebe, Chandra Kambhamettu:
Localize Me Anywhere, Anytime: A Multi-task Point-Retrieval Approach. 2434-2442 - Jacob Walker, Abhinav Gupta, Martial Hebert:
Dense Optical Flow Prediction from a Static Image. 2443-2451 - Elyor Kodirov, Tao Xiang, Zhen-Yong Fu, Shaogang Gong:
Unsupervised Domain Adaptation for Zero-Shot Learning. 2452-2460 - Licheng Yu, Eunbyung Park, Alexander C. Berg, Tamara L. Berg:
Visual Madlibs: Fill in the Blank Description Generation and Question Answering. 2461-2469 - Georgia Gkioxari, Ross B. Girshick, Jitendra Malik:
Actions and Attributes from Wholes and Parts. 2470-2478 - Weicheng Kuo, Bharath Hariharan, Jitendra Malik:
DeepBox: Learning Objectness with Convolutional Networks. 2479-2487 - Juan C. Caicedo, Svetlana Lazebnik:
Active Object Localization with Deep Reinforcement Learning. 2488-2496 - Zhou Ren, Chaohui Wang, Alan L. Yuille:
Scene-Domain Active Part Models for Object Representation. 2497-2505 - Kongming Liang, Hong Chang, Shiguang Shan, Xilin Chen:
A Unified Multiplicative Framework for Attribute Learning. 2506-2514 - Senjian An, Munawar Hayat, Salman H. Khan, Mohammed Bennamoun, Farid Boussaïd, Ferdous Ahmed Sohel:
Contractive Rectifier Networks for Nonlinear Maximum Margin Classification. 2515-2523 - Zhe Xu, Shaoli Huang, Ya Zhang, Dacheng Tao:
Augmenting Strong Supervision Using Web Data for Fine-Grained Categorization. 2524-2532 - Junhua Mao, Xu Wei, Yi Yang, Jiang Wang, Zhiheng Huang, Alan L. Yuille:
Learning Like a Child: Fast Novel Visual Concept Learning from Sentence Descriptions of Images. 2533-2541 - Ramakrishna Vedantam, Xiao Lin, Tanmay Batra, C. Lawrence Zitnick, Devi Parikh:
Learning Common Sense through Visual Abstraction. 2542-2550 - Muhammad Ghifary, W. Bastiaan Kleijn, Mengjie Zhang, David Balduzzi:
Domain Generalization for Object Recognition with Multi-task Autoencoders. 2551-2559 - Cewu Lu, Yongyi Lu, Hao Chen, Chi-Keung Tang:
Square Localization for Efficient and Accurate Object Detection. 2560-2568 - Shu Liu, Cewu Lu, Jiaya Jia:
Box Aggregation for Proposal Decimation: Last Mile of Object Detection. 2569-2577 - Amir Ghodrati, Ali Diba, Marco Pedersoli, Tinne Tuytelaars, Luc Van Gool:
DeepProposal: Hunting Objects by Cascading Deep Convolutional Layers. 2578-2586 - Xiaojuan Qi, Jianping Shi, Shu Liu, Renjie Liao, Jiaya Jia:
Semantic Segmentation with Object Clique Potential. 2587-2595 - Chen Sun, Chuang Gan, Ram Nevatia:
Automatic Concept Discovery from Parallel Text and Visual Corpora. 2596-2604 - Ragav Venkatesan, Parag Shridhar Chandakkar, Baoxin Li:
Simpler Non-Parametric Methods Provide as Good or Better Results to Multiple-Instance Learning. 2605-2613 - Ziyu Zhang, Alexander G. Schwing, Sanja Fidler, Raquel Urtasun:
Monocular Object Instance Segmentation and Depth Ordering with CNNs. 2614-2622 - Lin Ma, Zhengdong Lu, Lifeng Shang, Hang Li:
Multimodal Convolutional Neural Networks for Matching Image and Sentence. 2623-2631 - Zeeshan Hayder, Xuming He, Mathieu Salzmann:
Structural Kernel Learning for Large Scale Multiclass Object Co-detection. 2632-2640 - Bryan A. Plummer, Liwei Wang, Chris M. Cervantes, Juan C. Caicedo, Julia Hockenmaier, Svetlana Lazebnik:
Flickr30k Entities: Collecting Region-to-Phrase Correspondences for Richer Image-to-Sentence Models. 2641-2649 - David Eigen, Rob Fergus:
Predicting Depth, Surface Normals and Semantic Labels with a Common Multi-scale Convolutional Architecture. 2650-2658 - Donggeun Yoo, Sunggyun Park, Joon-Young Lee, Anthony S. Paek, In-So Kweon:
AttentionNet: Aggregating Weak Directions for Accurate Object Detection. 2659-2667 - Yoshitaka Ushiku, Masataka Yamaguchi, Yusuke Mukuta, Tatsuya Harada:
Common Subspace for Model and Similarity: Phrase Learning for Caption Generation from Images. 2668-2676
O-3B: Representations for Recognition and Localization
- Hao Su, Fan Wang, Eric Yi, Leonidas J. Guibas:
3D-Assisted Feature Synthesis for Novel Views of an Object. 2677-2685 - Hao Su, Charles Ruizhongtai Qi, Yangyan Li, Leonidas J. Guibas:
Render for CNN: Viewpoint Estimation in Images Using CNNs Trained with Rendered 3D Model Views. 2686-2694 - Shenlong Wang, Sanja Fidler, Raquel Urtasun:
Lost Shopping! Monocular Localization in Large Indoor Spaces. 2695-2703 - Bernhard Zeisl, Torsten Sattler, Marc Pollefeys:
Camera Pose Voting for Large-Scale Image-Based Localization. 2704-2712
P-3B: Statistical Methods and Learning, Motion and Tracking, and Video Analysis I
- Thibaut Durand, Nicolas Thome, Matthieu Cord:
MANTRA: Minimum Maximum Latent Structural SVM for Image Classification and Ranking. 2713-2721 - Chenyi Chen, Ari Seff, Alain L. Kornhauser, Jianxiong Xiao:
DeepDriving: Learning Affordance for Direct Perception in Autonomous Driving. 2722-2730 - Efstratios Gavves, Thomas Mensink, Tatiana Tommasi, Cees G. M. Snoek, Tinne Tuytelaars:
Active Transfer Learning with Zero-Shot Priors: Reusing Past Datasets for Future Tasks. 2731-2739 - Zhicheng Yan, Hao Zhang, Robinson Piramuthu, Vignesh Jagadeesh, Dennis DeCoste, Wei Di, Yizhou Yu:
HD-CNN: Hierarchical Deep Convolutional Neural Networks for Large Scale Visual Recognition. 2740-2748 - Jiashi Feng, Trevor Darrell:
Learning the Structure of Deep Convolutional Networks. 2749-2757 - Alexey Dosovitskiy, Philipp Fischer, Eddy Ilg, Philip Häusser, Caner Hazirbas, Vladimir Golkov, Patrick van der Smagt, Daniel Cremers, Thomas Brox:
FlowNet: Learning Optical Flow with Convolutional Networks. 2758-2766 - Chun-Guang Li, Zhouchen Lin, Honggang Zhang, Jun Guo:
Learning Semi-Supervised Representation Towards a Unified Optimization Framework for Semi-Supervised Learning. 2767-2775 - Kwang In Kim, James Tompkin, Hanspeter Pfister, Christian Theobalt:
Context-Guided Diffusion for Label Propagation on Graphs. 2776-2784 - Basura Fernando, Efstratios Gavves, Damien Muselet, Tinne Tuytelaars:
Learning to Rank Based on Subsequences. 2785-2793 - Xiaolong Wang, Abhinav Gupta:
Unsupervised Learning of Visual Representations Using Videos. 2794-2802 - Sotirios P. Chatzis, Dimitrios I. Kosmopoulos:
A Nonparametric Bayesian Approach toward Stacked Convolutional Independent Component Analysis. 2803-2811 - Nauman Shahid, Vassilis Kalofolias, Xavier Bresson, Michael M. Bronstein, Pierre Vandergheynst:
Robust Principal Component Analysis on Graphs. 2812-2820 - Li Liu, Mengyang Yu, Ling Shao:
Projection Bank: From High-Dimensional Data to Medium-Length Binary Codes. 2821-2829 - Vasileios Belagiannis, Christian Rupprecht, Gustavo Carneiro, Nassir Navab:
Robust Optimization for Deep Regression. 2830-2838 - Chengjiang Long, Gang Hua:
Multi-class Multi-annotator Active Learning with Robust Gaussian Process for Visual Recognition. 2839-2847 - Sijin Li, Weichen Zhang, Antoni B. Chan:
Maximum-Margin Structured Learning with Deep Networks for 3D Human Pose Estimation. 2848-2856 - Yu Cheng, Felix X. Yu, Rogério Schmidt Feris, Sanjiv Kumar, Alok N. Choudhary, Shih-Fu Chang:
An Exploration of Parameter Redundancy in Deep Networks with Circulant Projections. 2857-2865 - Zhenzhen Wang, Xiao-Tong Yuan, Qingshan Liu, Shuicheng Yan:
Additive Nearest Neighbor Feature Maps. 2866-2874 - Mathieu Aubry, Bryan C. Russell:
Understanding Deep Features with Computer-Generated Imagery. 2875-2883 - Hyunwoo J. Kim, Nagesh Adluru, Monami Banerjee, Baba C. Vemuri, Vikas Singh:
Interpolation on the Manifold of K Component GMMs. 2884-2892 - Tuan-Hung Vu, Anton Osokin, Ivan Laptev:
Context-Aware CNNs for Person Head Detection. 2893-2901 - Hanzi Wang, Guobao Xiao, Yan Yan, David Suter:
Mode-Seeking on Hypergraphs for Robust Geometric Model Fitting. 2902-2910 - Oren Freifeld, Søren Hauberg, Kayhan N. Batmanghelich, John W. Fisher III:
Highly-Expressive Spaces of Well-Behaved Transformations: Keeping it Simple. 2911-2919 - Diane Bouchacourt, Sebastian Nowozin, M. Pawan Kumar:
Entropy-Based Latent Structured Output Prediction. 2920-2928 - Xu Zhang, Felix X. Yu, Ruiqi Guo, Sanjiv Kumar, Shengjin Wang, Shih-Fu Chang:
Fast Orthogonal Projection Based on Kronecker Product. 2929-2937 - Alex Kendall, Matthew Grimes, Roberto Cipolla:
PoseNet: A Convolutional Network for Real-Time 6-DOF Camera Relocalization. 2938-2946 - Debadeepta Dey, Varun Ramakrishna, Martial Hebert, J. Andrew Bagnell:
Predicting Multiple Structured Visual Interpretations. 2947-2955 - Chunshui Cao, Xianming Liu, Yi Yang, Yinan Yu, Jiang Wang, Zilei Wang, Yongzhen Huang, Liang Wang, Chang Huang, Wei Xu, Deva Ramanan, Thomas S. Huang:
Look and Think Twice: Capturing Top-Down Visual Attention with Feedback Convolutional Neural Networks. 2956-2964 - Catalin Ionescu, Orestis Vantzos, Cristian Sminchisescu:
Matrix Backpropagation for Deep Networks with Structured Layers. 2965-2973 - Ksenia Konyushkova, Raphael Sznitman, Pascal Fua:
Introducing Geometry in Active Learning for Image Segmentation. 2974-2982 - Heechul Jung, Sihaeng Lee, Junho Yim, Sunjeong Park, Junmo Kim:
Joint Fine-Tuning in Deep Neural Networks for Facial Expression Recognition. 2983-2991 - Takuya Narihira, Michael Maire, Stella X. Yu:
Direct Intrinsics: Learning Albedo-Shading Decomposition by Convolutional Regression. 2992 - Patrick Snape, Anastasios Roussos, Yannis Panagakis, Stefanos Zafeiriou:
Face Flow. 2993-3001 - Yao Sui, Yafei Tang, Li Zhang:
Discriminative Low-Rank Tracking. 3002-3010 - Han-Ul Kim, Dae-Youn Lee, Jae-Young Sim, Chang-Su Kim:
SOWP: Spatially Ordered and Weighted Patch Descriptor for Visual Tracking. 3011-3019 - Ofir Levy, Lior Wolf:
Live Repetition Counting. 3020-3028 - Wongun Choi:
Near-Online Multi-target Tracking with Aggregated Local Flow Descriptor. 3029-3037 - Ming Tang, Jiayi Feng:
Multi-kernel Correlation Filter for Visual Tracking. 3038-3046 - Seyed Hamid Rezatofighi, Anton Milan, Zhen Zhang, Qinfeng Shi, Anthony R. Dick, Ian D. Reid:
Joint Probabilistic Data Association Revisited. 3047-3055 - Jeany Son, Ilchae Jung, Kayoung Park, Bohyung Han:
Tracking-by-Segmentation with Online Gradient Boosting Decision Tree. 3056-3064 - Karel Lebeda, Simon Hadfield, Richard Bowden:
Exploring Causal Relationships in Visual Object Tracking. 3065-3073 - Chao Ma, Jia-Bin Huang, Xiaokang Yang, Ming-Hsuan Yang:
Hierarchical Convolutional Features for Visual Tracking. 3074-3082 - Kaiwen Guo, Feng Xu, Yangang Wang, Yebin Liu, Qionghai Dai:
Robust Non-rigid Motion Tracking and Surface Reconstruction Using L0 Regularization. 3083-3091 - Yang Hua, Karteek Alahari, Cordelia Schmid:
Online Object Tracking with Proposal Selection. 3092-3100 - Naiyan Wang, Jianping Shi, Dit-Yan Yeung, Jiaya Jia:
Understanding and Diagnosing Visual Tracking Systems. 3101-3109 - Hsin-I Chen, Yi-Ling Chen, Wei-Tse Lee, Fan Wang, Bing-Yu Chen:
Integrating Dashcam Views through Inter-Video Mapping. 3110-3118 - Lijun Wang, Wanli Ouyang, Xiaogang Wang, Huchuan Lu:
Visual Tracking with Fully Convolutional Networks. 3119-3127 - Lin Ma, Jiwen Lu, Jianjiang Feng, Jie Zhou:
Multiple Feature Fusion via Weighted Entropy for Visual Tracking. 3128-3136 - Shuai Yi, Hongsheng Li, Xiaogang Wang:
Pedestrian Travel Time Estimation in Crowded Scenes. 3137-3145 - Wen-Sheng Chu, Jiabei Zeng, Fernando De la Torre, Jeffrey F. Cohn, Daniel S. Messinger:
Unsupervised Synchrony Discovery in Human Interaction. 3146-3154 - Chen-Ping Yu, Hieu Le, Gregory J. Zelinsky, Dimitris Samaras:
Efficient Video Segmentation Using Parametric Graph Partitioning. 3155-3163 - Philippe Weinzaepfel, Zaïd Harchaoui, Cordelia Schmid:
Learning to Track for Spatio-Temporal Action Localization. 3164-3172 - Suha Kwak, Minsu Cho, Ivan Laptev, Jean Ponce, Cordelia Schmid:
Unsupervised Object Discovery and Tracking in Video Collections. 3173-3181 - Ashesh Jain, Hema Swetha Koppula, Bharad Raghavan, Shane Soh, Ashutosh Saxena:
Car that Knows Before You Do: Anticipating Maneuvers via Learning Temporal Driving Models. 3182-3190 - Zhen Xu, Laiyun Qing, Jun Miao:
Activity Auto-Completion: Predicting Human Activities from Partial Videos. 3191-3199 - Yang Shen, Weiyao Lin, Junchi Yan, Mingliang Xu, Jianxin Wu, Jingdong Wang:
Person Re-Identification with Correspondence Structure Learning. 3200-3208 - Kang Dang, Jiong Yang, Junsong Yuan:
Adaptive Exponential Smoothing for Online Filtering of Pixel Prediction Maps. 3209-3217 - Guilhem Chéron, Ivan Laptev, Cordelia Schmid:
P-CNN: Pose-Based CNN Features for Action Recognition. 3218-3226 - Federico Perazzi, Oliver Wang, Markus H. Gross, Alexander Sorkine-Hornung:
Fully Connected Object Proposals for Video Segmentation. 3227-3234 - Naveen Shankar Nagaraja, Frank R. Schmidt, Thomas Brox:
Video Segmentation with Just a Few Strokes. 3235-3243 - Ye Luo, Loong-Fah Cheong, An Tran:
Actionness-Assisted Recognition of Actions. 3244-3252 - Viet-Quoc Pham, Tatsuo Kozakaya, Osamu Yamaguchi, Ryuzo Okada:
COUNT Forest: CO-Voting Uncertain Number of Targets Using Random Forest for Crowd Density Estimation. 3253-3261 - Saehoon Yi, Vladimir Pavlovic:
Multi-cue Structure Preserving MRF for Unconstrained Video Segmentation. 3262-3270 - Margret Keuper, Bjoern Andres, Thomas Brox:
Motion Trajectory Segmentation via Minimum Cost Multicuts. 3271-3279 - Khurram Soomro, Haroon Idrees, Mubarak Shah:
Action Localization in Videos through Context Walk. 3280-3288 - Alexandre Alahi, Albert Haque, Li Fei-Fei:
RGB-W: When Vision Meets Wireless. 3289-3297 - Wei Chen, Jason J. Corso:
Action Detection by Implicit Intentional Motion Clustering. 3298-3306 - Jaemyun Kim, Adín Ramírez Rivera, Byungyong Ryu, Oksam Chae:
Simultaneous Foreground Detection and Classification with Hybrid Features. 3307-3315
O-3C: Vision and People
- Markus Oberweger, Paul Wohlhart, Vincent Lepetit:
Training a Feedback Loop for Hand Pose Estimation. 3316-3324 - Danhang Tang, Jonathan Taylor, Pushmeet Kohli, Cem Keskin, Tae-Kyun Kim, Jamie Shotton:
Opening the Black Box: Hierarchical Sampling Optimization for Estimating Human Hand Pose. 3325-3333 - Hanbyul Joo, Hao Liu, Lei Tan, Lin Gui, Bart C. Nabbe, Iain A. Matthews, Takeo Kanade, Shohei Nobuhara, Yaser Sheikh:
Panoptic Studio: A Massively Multiview System for Social Motion Capture. 3334-3342 - M. Hadi Kiapour, Xufeng Han, Svetlana Lazebnik, Alexander C. Berg, Tamara L. Berg:
Where to Buy It: Matching Street Clothing Photos in Online Shops. 3343-3351 - Xiao Chu, Wanli Ouyang, Wei Yang, Xiaogang Wang:
Multi-task Recurrent Neural Network for Immediacy Prediction. 3352-3360 - Zhaowei Cai, Mohammad J. Saberian, Nuno Vasconcelos:
Learning Complexity-Aware Cascades for Deep Pedestrian Detection. 3361-3369
O-4A: Computational Photography and Image Enhancement
- Achuta Kadambi, Vage Taamazyan, Boxin Shi, Ramesh Raskar:
Polarized 3D: High-Quality Depth Sensing with Polarization Cues. 3370-3378 - Aviad Levis, Yoav Y. Schechner, Amit Aides, Anthony B. Davis:
Airborne Three-Dimensional Cloud Tomography. 3379-3387 - Tomas F. Yago Vicente, Minh Hoai, Dimitris Samaras:
Leave-One-Out Kernel Optimization for Shadow Detection. 3388-3396 - Yu Luo, Yong Xu, Hui Ji:
Removing Rain from a Single Image via Discriminative Sparse Coding. 3397-3405 - Xiaoyong Shen, Chao Zhou, Li Xu, Jiaya Jia:
Mutual-Structure for Joint Filtering. 3406-3414
P-4A: Computational Photography, Face and Gesture, and Vision for X
- Zak Murez, Tali Treibitz, Ravi Ramamoorthi, David J. Kriegman:
Photometric Stereo in a Scattering Medium. 3415-3423 - Wei Yang, Haiting Lin, Sing Bing Kang, Jingyi Yu:
Resolving Scale Ambiguity via XSlit Aspect Ratio Analysis. 3424-3432 - Lingfei Meng, Liyang Lu, Noah Bedard, Kathrin Berkner:
Single-Shot Specular Surface Reconstruction with Gonio-Plenoptic Imaging. 3433-3441 - Yichao Xu, Hajime Nagahara, Atsushi Shimada, Rin-Ichiro Taniguchi:
TransCut: Transparent Object Segmentation from a Light-Field Image. 3442-3450 - Haiting Lin, Can Chen, Sing Bing Kang, Jingyi Yu:
Depth Recovery from Light Field Using Focal Stack Symmetry. 3451-3459 - Williem, Ramesh Raskar, In Kyu Park:
Depth Map Estimation and Colorization of Anaglyph Images Using Local Color Prior and Reverse Intensity Distribution. 3460-3468 - Tinghui Zhou, Philipp Krähenbühl, Alexei A. Efros:
Learning Data-Driven Reflectance Priors for Intrinsic Image Decomposition. 3469-3477 - Jian Wang, Yasuyuki Matsushita, Boxin Shi, Aswin C. Sankaranarayanan:
Photometric Stereo with Small Angular Variations. 3478-3486 - Ting-Chun Wang, Alexei A. Efros, Ravi Ramamoorthi:
Occlusion-Aware Depth Estimation Using Light-Field Cameras. 3487-3495 - Pratul P. Srinivasan, Michael W. Tao, Ren Ng, Ravi Ramamoorthi:
Oriented Light-Field Windows for Scene Flow. 3496-3504 - Ryunosuke Yokoya, Shree K. Nayar:
Extended Depth of Field Catadioptric Imaging Using Focal Sweep. 3505-3513 - Naejin Kong, Michael J. Black:
Intrinsic Depth: Improving Depth Transfer with Intrinsic Images. 3514-3522 - Yinqiang Zheng, Ying Fu, Antony Lam, Imari Sato, Yoichi Sato:
Separating Fluorescent and Reflective Components by Using a Single Hyperspectral Image. 3523-3531 - Yiming Qian, Minglun Gong, Yee-Hong Yang:
Frequency-Based Environment Matting by Compressive Sensing. 3532-3540 - Hae-Gon Jeon, Joon-Young Lee, Yudeog Han, Seon Joo Kim, In-So Kweon:
Complementary Sets of Shutter Sequences for Motion Deblurring. 3541-3549 - Lei Zhang, Wei Wei, Yanning Zhang, Fei Li, Chunhua Shen, Qinfeng Shi:
Hyperspectral Compressive Sensing Using Manifold-Structured Sparsity Prior. 3550-3558 - Stamatios Georgoulis, Vincent Vanweddingen, Marc Proesmans, Luc Van Gool:
A Gaussian Process Latent Variable Model for BRDF Inference. 3559-3567 - Hiroshi Kawasaki, Satoshi Ono, Yuuki Horita, Yuki Shiba, Ryo Furukawa, Shinsaku Hiura:
Active One-Shot Scan for Wide Depth Range Using a Light Field Projector Based on Coded Aperture. 3568-3576 - Jan Stühmer, Sebastian Nowozin, Andrew W. Fitzgibbon, Richard Szeliski, Travis Perry, Sunil Acharya, Daniel Cremers, Jamie Shotton:
Model-Based Tracking at 300Hz Using Raw Time-of-Flight Observations. 3577-3585 - Charis Lanaras, Emmanuel Baltsavias, Konrad Schindler:
Hyperspectral Super-Resolution by Coupled Spectral Unmixing. 3586-3594 - Ryuichi Tadano, Adithya Kumar Pediredla, Ashok Veeraraghavan:
Depth Selective Camera: A Direct, On-Chip, Programmable Technique for Depth Selectivity in Photography. 3595-3603 - Timo Bolkart, Stefanie Wuhrer:
A Groupwise Multilinear Correspondence Optimization for 3D Faces. 3604-3612 - Ang Li, Vlad I. Morariu, Larry S. Davis:
Selective Encoding for Recognizing Unreliably Localized Faces. 3613-3621 - Jiabei Zeng, Wen-Sheng Chu, Fernando De la Torre, Jeffrey F. Cohn, Zhang Xiong:
Confidence Preserving Machine for Facial Action Unit Detection. 3622-3630 - Zhanpeng Zhang, Ping Luo, Chen Change Loy, Xiaoou Tang:
Learning Social Relation Traits from Face Images. 3631-3639 - Antony Lam, Yoshinori Kuno:
Robust Heart Rate Measurement from Video Using Select Random Patches. 3640-3648 - Gregory P. Meyer, Shalini Gupta, Iuri Frosio, Dikpal Reddy, Jan Kautz:
Robust Model-Based 3D Head Pose Estimation. 3649-3657 - Yue Wu, Qiang Ji:
Robust Facial Landmark Detection Under Significant Head Poses and Occlusion. 3658-3666 - Chao Xiong, Xiaowei Zhao, Danhang Tang, Jayashree Karlekar, Shuicheng Yan, Tae-Kyun Kim:
Conditional Convolutional Neural Network for Modality-Aware Face Recognition. 3667-3675 - Shuo Yang, Ping Luo, Chen Change Loy, Xiaoou Tang:
From Facial Parts Responses to Face Detection: A Deep Learning Approach. 3676-3684 - Shengcai Liao, Stan Z. Li:
Efficient PSD Constrained Asymmetric Metric Learning for Person Re-Identification. 3685-3693 - Amin Jourabloo, Xiaoming Liu:
Pose-Invariant 3D Face Alignment. 3694-3702 - Adria Ruiz, Joost van de Weijer, Xavier Binefa:
From Emotions to Action Units with Hidden and Semi-Hidden-Task Learning. 3703-3711 - Jungseock Joo, Francis F. Steen, Song-Chun Zhu:
Automated Facial Trait Judgment and Election Outcome Prediction: Social Dimensions of Face. 3712-3720 - Jiwen Lu, Venice Erin Liong, Jie Zhou:
Simultaneous Local Binary Feature Learning and Encoding for Face Recognition. 3721-3729 - Ziwei Liu, Ping Luo, Xiaogang Wang, Xiaoou Tang:
Deep Learning Face Attributes in the Wild. 3730-3738 - Chi Su, Fan Yang, Shiliang Zhang, Qi Tian, Larry S. Davis, Wen Gao:
Multi-Task Learning with Low Rank Attribute Embedding for Person Re-Identification. 3739-3747 - Sergey Tulyakov, Nicu Sebe:
Regressing a 3D Face Shape from a Single Image. 3748-3755 - Erroll Wood, Tadas Baltrusaitis, Xucong Zhang, Yusuke Sugano, Peter Robinson, Andreas Bulling:
Rendering of Eyes for Eye-Shape Registration and Gaze Estimation. 3756-3764 - Xiang Li, Wei-Shi Zheng, Xiaojuan Wang, Tao Xiang, Shaogang Gong:
Multi-Scale Learning for Low-Resolution Person Re-Identification. 3765-3773 - Timur R. Almaev, Brais Martínez, Michel F. Valstar:
Learning to Transfer: Transferring Latent Task Structures and Its Application to Person-Specific Facial Action Unit Detection. 3774-3782 - Arnaud Dapogny, Kevin Bailly, Séverine Dubuisson:
Pairwise Conditional Random Forests for Facial Expression Recognition. 3783-3791 - Stefanos Eleftheriadis, Ognjen Rudovic, Maja Pantic:
Multi-conditional Latent Variable Model for Joint Facial Action Unit Detection. 3792-3800 - Jie Zhang, Meina Kan, Shiguang Shan, Xilin Chen:
Leveraging Datasets with Varying Annotations for Face Alignment via Deep Regression Network. 3801-3809 - Kan Liu, Bingpeng Ma, Wei Zhang, Rui Huang:
A Spatio-Temporal Appearance Representation for Viceo-Based Pedestrian Re-Identification. 3810-3818 - Yan Li, Ruiping Wang, Haomiao Liu, Huajie Jiang, Shiguang Shan, Xilin Chen:
Two Birds, One Stone: Jointly Learning Binary Code for Large-Scale Face Image Retrieval and Attributes Prediction. 3819-3827 - Zijing Zhao, Ajay Kumar:
An Accurate Iris Segmentation Framework Under Relaxed Imaging Constraints Using Total Variation Model. 3828-3836 - Soubhik Sanyal, Sivaram Prasad Mudunuri, Soma Biswas:
Discriminative Pose-Free Descriptors for Face and Object Matching. 3837-3845 - Meina Kan, Shiguang Shan, Xilin Chen:
Bi-Shifting Auto-Encoder for Unsupervised Domain Adaptation. 3846-3854 - Gee-Sern Hsu, Kai-Hsiang Chang, Shih-Chieh Huang:
Regressive Tree Structured Model for Facial Landmark Localization. 3855-3861 - Seong Joon Oh, Rodrigo Benenson, Mario Fritz, Bernt Schiele:
Person Recognition in Personal Photo Collections. 3862-3870 - Christos Sagonas, Yannis Panagakis, Stefanos Zafeiriou, Maja Pantic:
Robust Statistical Face Frontalization. 3871-3879 - Xi Peng, Shaoting Zhang, Yu Yang, Dimitris N. Metaxas:
PIEFA: Personalized Incremental and Ensemble Face Alignment. 3880-3888 - Grégory Rogez, James Steven Supancic III, Deva Ramanan:
Understanding Everyday Hands in Action from RGB-D Images. 3889-3897 - Arnaud Dessein, William A. P. Smith, Richard C. Wilson, Edwin R. Hancock:
Example-Based Modeling of Facial Texture from Deficient Data. 3898-3906 - Mai Xu, Yun Ren, Zulin Wang:
Learning to Predict Saliency on Face Images. 3907-3915 - Ziming Zhang, Yuting Chen, Venkatesh Saligrama:
Group Membership Prediction. 3916-3924 - Gaofeng Meng, Zuming Huang, Yonghong Song, Shiming Xiang, Chunhong Pan:
Extraction of Virtual Baselines from Distorted Document Images Using Curvilinear Projection. 3925-3933 - Yan Lu, Dezhen Song:
Robust RGB-D Odometry Using Point and Line Features. 3934-3942 - Jun-Yan Zhu, Philipp Krähenbühl, Eli Shechtman, Alexei A. Efros:
Learning a Discriminative Model for the Perception of Realism in Composite Images. 3943-3951 - Supasorn Suwajanakorn, Steven M. Seitz, Ira Kemelmacher-Shlizerman:
What Makes Tom Hanks Look Like Tom Hanks. 3952-3960 - Scott Workman, Richard Souvenir, Nathan Jacobs:
Wide-Area Image Geolocalization with Aerial Reference Imagery. 3961-3969 - Xiangbo Shu, Jinhui Tang, Hanjiang Lai, Luoqi Liu, Shuicheng Yan:
Personalized Age Progression with Aging Dictionary. 3970-3978 - Charles Malleson, Jean-Charles Bazin, Oliver Wang, Derek Bradley, Thabo Beeler, Adrian Hilton, Alexander Sorkine-Hornung:
FaceDirector: Continuous Control of Facial Performance in Video. 3979-3987 - Dinghuang Ji, Enrique Dunn, Jan-Michael Frahm:
Synthesizing Illumination Mosaics from Internet Photo-Collections. 3988-3996 - Daniel Glasner, Pascal Fua, Todd E. Zickler, Lihi Zelnik-Manor:
Hot or Not: Exploring Correlations between Appearance and Temperature. 3997-4005
O-4B: Motion and Correspondence
- Yu Li, Dongbo Min, Michael S. Brown, Minh N. Do, Jiangbo Lu:
SPM-BP: Sped-Up PatchMatch Belief Propagation for Continuous MRFs. 4006-4014 - Christian Bailer, Bertram Taetz, Didier Stricker:
Flow Fields: Dense Correspondence Fields for Highly Accurate Large Displacement Optical Flow Estimation. 4015-4023 - Hilton Bristow, Jack Valmadre, Simon Lucey:
Dense Semantic Correspondence Where Every Pixel is a Classifier. 4024-4031 - Xiaowei Zhou, Menglong Zhu, Kostas Daniilidis:
Multi-image Matching via Fast Alternating Minimization. 4032-4040
P-4B: Statistical Methods and Learning, Motion and Tracking, and Video Analysis II
- Vivek Veeriah, Naifan Zhuang, Guo-Jun Qi:
Differential Recurrent Neural Networks for Action Recognition. 4041-4049 - Guoli Song, Shuhui Wang, Qingming Huang, Qi Tian:
Similarity Gaussian Process Latent Variable Model for Multi-modal Data Analysis. 4050-4058 - Hossein Hajimirsadeghi, Greg Mori:
Learning Ensembles of Potential Functions for Structured Prediction with Latent Variables. 4059-4067 - Eric Tzeng, Judy Hoffman, Trevor Darrell, Kate Saenko:
Simultaneous Deep Transfer Across Domains and Tasks. 4068-4076 - Ondrej Chum:
Low Dimensional Explicit Feature Maps. 4077-4085 - Ross Goroshin, Joan Bruna, Jonathan Tompson, David Eigen, Yann LeCun:
Unsupervised Learning of Spatiotemporally Coherent Metrics. 4086-4093 - Viresh Ranjan, Nikhil Rasiwasia, C. V. Jawahar:
Multi-label Cross-Modal Retrieval. 4094-4102 - Antonio L. Rodriguez, Vítor Sequeira:
Improving Ferns Ensembles by Sparsifying and Quantising Posterior Probabilities. 4103-4111 - Mehrtash Tafazzoli Harandi, Mathieu Salzmann, Mahsa Baktashmotlagh:
Beyond Gauss: Image-Set Matching on the Riemannian Manifold of PDFs. 4112-4120 - Tzu-Ming Harry Hsu, Wei-Yu Chen, Cheng-An Hou, Yao-Hung Hubert Tsai, Yi-Ren Yeh, Yu-Chiang Frank Wang:
Unsupervised Domain Adaptation with Imbalanced Cross-Domain Data. 4121-4129 - Je Hyeong Hong, Andrew W. Fitzgibbon:
Secrets of Matrix Factorization: Approximations, Numerics, Manifold Optimization and Random Restarts. 4130-4138 - Jiaji Huang, Qiang Qiu, A. Robert Calderbank, Guillermo Sapiro:
Geometry-Aware Deep Transform. 4139-4147 - Fumin Shen, Wei Liu, Shaoting Zhang, Yang Yang, Heng Tao Shen:
Learning Binary Codes for Maximum Inner Product Search. 4148-4156 - Baoyuan Wu, Siwei Lyu, Bernard Ghanem:
ML-MG: Multi-label Learning with Missing Labels Using a Mixed Graph. 4157-4165 - Ziming Zhang, Venkatesh Saligrama:
Zero-Shot Learning via Semantic Similarity Embedding. 4166-4174 - Bo Liu, Nuno Vasconcelos:
Bayesian Model Adaptation for Crowd Counts. 4175-4183 - Lopamudra Mukherjee, Sathya N. Ravi, Vamsi K. Ithapu, Tyler Holmes, Vikas Singh:
An NMF Perspective on Binary Hashing. 4184-4192 - Li Niu, Wen Li, Dong Xu:
Multi-view Domain Generalization for Visual Recognition. 4193-4201 - Giorgio Roffo, Simone Melzi, Marco Cristani:
Infinite Feature Selection. 4202-4210 - Xin Li, Yuhong Guo, Dale Schuurmans:
Semi-Supervised Zero-Shot Classification with Label Representation Learning. 4211-4219 - Farzad Siyahjani, Ranya Almohsen, Sinan Sabri, Gianfranco Doretto:
A Supervised Low-Rank Method for Learning Invariant Subspaces. 4220-4228 - Rudrasis Chakraborty, Baba C. Vemuri:
Recursive Fréchet Mean Computation on the Grassmannian and Its Applications to Computer Vision. 4229-4237 - Hongchang Gao, Feiping Nie, Xuelong Li, Heng Huang:
Multi-view Subspace Clustering. 4238-4246 - Lei Jimmy Ba, Kevin Swersky, Sanja Fidler, Ruslan Salakhutdinov:
Predicting Deep Zero-Shot Convolutional Neural Networks Using Textual Descriptions. 4247-4255 - Tian Gao, Ziheng Wang, Qiang Ji:
Structured Feature Selection. 4256-4264 - Yan Huang, Wei Wang, Liang Wang:
Conditional High-Order Boltzmann Machine: A Supervised Learning Model for Relation Learning. 4265-4273 - Xue Geng, Hanwang Zhang, Jingwen Bian, Tat-Seng Chua:
Learning Image and User Features for Recommendation in Social Networks. 4274-4282 - Shiwei Li, Lu Yuan, Jian Sun, Long Quan:
Dual-Feature Warping-Based Motion Model Estimation. 4283-4291 - Dylan Campbell, Lars Petersson:
An Adaptive Data Representation for Robust Point-Set Registration and Merging. 4292-4300 - Lin Ma, Xiaoqin Zhang, Weiming Hu, Junliang Xing, Jiwen Lu, Jie Zhou:
Local Subspace Collaborative Tracking. 4301-4309 - Martin Danelljan, Gustav Häger, Fahad Shahbaz Khan, Michael Felsberg:
Learning Spatially Regularized Correlation Filters for Visual Tracking. 4310-4318 - Kensei Jo, Mohit Gupta, Shree K. Nayar:
SpeDo: 6 DOF Ego-Motion Sensor Using Speckle Defocus Imaging. 4319-4327 - Hongteng Xu, Yang Zhou, Weiyao Lin, Hongyuan Zha:
Unsupervised Trajectory Clustering via Adaptive Multi-kernel-Based Shrinkage. 4328-4336 - Xiaomeng Wang, Michel F. Valstar, Brais Martínez, Muhammad Haris Khan, Tony P. Pridmore:
TRIC-track: Tracking by Regression with Incrementally Learned Cascades. 4337-4345 - Katerina Fragkiadaki, Sergey Levine, Panna Felsen, Jitendra Malik:
Recurrent Network Models for Human Dynamics. 4346-4354 - Huijun Di, Qingxuan Shi, Feng Lv, Ming Qin, Yao Lu:
Contour Flow: Middle-Level Motion Estimation by Combining Motion Segmentation and Contour Alignment. 4355-4363 - Philip Lenz, Andreas Geiger, Raquel Urtasun:
FollowMe: Efficient Online Min-Cost Flow Tracking with Bounded Memory and Computation. 4364-4372 - Francesco Solera, Simone Calderara, Rita Cucchiara:
Learning to Divide and Conquer for Online Multi-target Tracking. 4373-4381 - Arridhana Ciptadi, James M. Rehg:
Minimizing Human Effort in Interactive Tracking by Incremental Learning of Model Parameters. 4382-4390 - Alberto Crivellaro, Mahdi Rad, Yannick Verdie, Kwang Moo Yi, Pascal Fua, Vincent Lepetit:
A Novel Representation of Parts for Accurate 3D Object Detection and Tracking in Monocular Images. 4391-4399 - Bo Ma, Hongwei Hu, Jianbing Shen, Yuping Zhang, Fatih Porikli:
Linearization to Nonlinear Learning for Visual Tracking. 4400-4407 - Yanchao Yang, Ganesh Sundaramoorthi, Stefano Soatto:
Self-Occlusions and Disocclusions in Causal Video Object Segmentation. 4408-4416 - Andrei Zanfir, Cristian Sminchisescu:
Large Displacement 3D Scene Flow with Occlusion Reasoning. 4417-4425 - Yuewei Lin, Kareem Abdelfatah, Youjie Zhou, Xiaochuan Fan, Hongkai Yu, Hui Qian, Song Wang:
Co-Interest Person Detection from Multiple Wearable Camera Videos. 4426-4434 - Enliang Zheng, Dinghuang Ji, Enrique Dunn, Jan-Michael Frahm:
Sparse Dynamic 3D Reconstruction from Unsynchronized Videos. 4435-4443 - Wenbo Li, Longyin Wen, Mooi Choo Chuah, Siwei Lyu:
Category-Blind Human Action Recognition: A Practical Recognition System. 4444-4452 - Sheng Li, Kang Li, Yun Fu:
Temporal Subspace Clustering for Human Motion Segmentation. 4453-4461 - Piotr Bojanowski, Rémi Lajugie, Edouard Grave, Francis R. Bach, Ivan Laptev, Jean Ponce, Cordelia Schmid:
Weakly-Supervised Alignment of Video with Text. 4462-4470 - Vignesh Ramanathan, Kevin D. Tang, Greg Mori, Li Fei-Fei:
Learning Temporal Embeddings for Complex Video Analysis. 4471-4479 - Ozan Sener, Amir R. Zamir, Silvio Savarese, Ashutosh Saxena:
Unsupervised Semantic Parsing of Video Collections. 4480-4488 - Du Tran, Lubomir D. Bourdev, Rob Fergus, Lorenzo Torresani, Manohar Paluri:
Learning Spatiotemporal Features with 3D Convolutional Networks. 4489-4497 - Yipin Zhou, Tamara L. Berg:
Temporal Perception and Prediction in Ego-Centric Video. 4498-4506 - Li Yao, Atousa Torabi, Kyunghyun Cho, Nicolas Ballas, Christopher J. Pal, Hugo Larochelle, Aaron C. Courville:
Describing Videos by Exploiting Temporal Structure. 4507-4515 - Srikrishna Karanam, Yang Li, Richard J. Radke:
Person Re-Identification with Discriminatively Trained Viewpoint Invariant Dictionaries. 4516-4524 - Bo Xiong, Gunhee Kim, Leonid Sigal:
Storyline Representation of Egocentric Videos with an Applications to Story-Based Search. 4525-4533 - Subhashini Venugopalan, Marcus Rohrbach, Jeffrey Donahue, Raymond J. Mooney, Trevor Darrell, Kate Saenko:
Sequence to Sequence - Video to Text. 4534-4542 - Mahmudul Hasan, Amit K. Roy-Chowdhury:
Context Aware Active Learning of Activity Recognition Models. 4543-4551 - Tian Lan, Yuke Zhu, Amir Roshan Zamir, Silvio Savarese:
Action Recognition by Hierarchical Mid-Level Action Elements. 4552-4560 - Bharat Singh, Xintong Han, Zhe Wu, Vlad I. Morariu, Larry S. Davis:
Selecting Relevant Web Trained Concepts for Automated Event Retrieval. 4561-4569 - Lei Wang, Jianjia Zhang, Luping Zhou, Chang Tang, Wanqing Li:
Beyond Covariance: Feature Representation with Nonlinear Kernel Matrices. 4570-4578 - David Varas, Monica Alfaro, Ferran Marqués:
Multiresolution Hierarchy Co-Clustering for Semantic Segmentation in Sequences with Small Variations. 4579-4587 - Mihir Jain, Jan C. van Gemert, Thomas Mensink, Cees G. M. Snoek:
Objects2action: Classifying and Localizing Actions without Any Video Example. 4588-4596 - Lin Sun, Kui Jia, Dit-Yan Yeung, Bertram E. Shi:
Human Action Recognition Using Factorized Spatio-Temporal Convolutional Networks. 4597-4605 - Fabrizio Natola, Valsamis Ntouskos, Marta Sanzari, Fiora Pirri:
Bayesian Non-parametric Inference for Manifold Based MoCap Representation. 4606-4614 - Yuncheng Li, Xitong Yang, Jiebo Luo:
Semantic Video Entity Linking Based on Visual Content and Metadata. 4615-4623 - Justin Johnson, Lamberto Ballan, Li Fei-Fei:
Love Thy Neighbors: Image Annotation by Exploiting Image Metadata. 4624-4632 - Huan Yang, Baoyuan Wang, Stephen Lin, David P. Wipf, Minyi Guo, Baining Guo:
Unsupervised Extraction of Video Highlights via Robust Recurrent Auto-Encoders. 4633-4641 - Andreas Veit, Balazs Kovacs, Sean Bell, Julian J. McAuley, Kavita Bala, Serge J. Belongie:
Learning Visual Clothing Style with Heterogeneous Dyadic Co-Occurrences. 4642-4650 - Shangxuan Tian, Yifeng Pan, Chang Huang, Shijian Lu, Kai Yu, Chew Lim Tan:
Text Flow: A Unified Text Detection System in Natural Scene Images. 4651-4659
O-4C: Video: Actions, Surveillance and Tracking
- Elisa Ricci, Jagannadan Varadarajan, Ramanathan Subramanian, Samuel Rota Bulò, Narendra Ahuja, Oswald Lanz:
Uncovering Interactions and Interactors: Joint Estimation of Head, Body Orientation and F-Formations from Surveillance Videos. 4660-4668 - Bilge Soran, Ali Farhadi, Linda G. Shapiro:
Generating Notifications for Missing Actions: Don't Forget to Turn the Lights Off! 4669-4677 - Wei-Shi Zheng, Xiang Li, Tao Xiang, Shengcai Liao, Jian-Huang Lai, Shaogang Gong:
Partial Person Re-Identification. 4678-4686 - Pan Ji, Mathieu Salzmann, Hongdong Li:
Shape Interaction Matrix Revisited and Robustified: Efficient Subspace Clustering with Corrupted and Incomplete Data. 4687-4695 - Chanho Kim, Fuxin Li, Arridhana Ciptadi, James M. Rehg:
Multiple Hypothesis Tracking Revisited. 4696-4704 - Yu Xiang, Alexandre Alahi, Silvio Savarese:
Learning to Track: Online Multi-object Tracking by Decision Making. 4705-4713
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