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ORCID15th ECCV 2018: Munich, Germany - Volume 12
- Vittorio Ferrari, Martial Hebert, Cristian Sminchisescu, Yair Weiss:
Computer Vision - ECCV 2018 - 15th European Conference, Munich, Germany, September 8-14, 2018, Proceedings, Part XII. Lecture Notes in Computer Science 11216, Springer 2018, ISBN 978-3-030-01257-1
Poster Session
- Zhijian Liu, William T. Freeman, Joshua B. Tenenbaum, Jiajun Wu:
Physical Primitive Decomposition. 3-20 - Yalong Bai, Jianlong Fu, Tiejun Zhao, Tao Mei:
Deep Attention Neural Tensor Network for Visual Question Answering. 21-37 - Xu Yang, Hanwang Zhang
, Jianfei Cai:
Shuffle-Then-Assemble: Learning Object-Agnostic Visual Relationship Features. 38-54 - Bogdan Bugaev, Anton Kryshchenko, Roman Belov:
Combining 3D Model Contour Energy and Keypoints for Object Tracking. 55-70 - Abhimanyu Dubey, Otkrist Gupta, Pei Guo, Ramesh Raskar, Ryan Farrell, Nikhil Naik:
Pairwise Confusion for Fine-Grained Visual Classification. 71-88 - Tian Ye, Xiaolong Wang, James Davidson, Abhinav Gupta:
Interpretable Intuitive Physics Model. 89-105 - Guosheng Hu, Li Liu, Yang Yuan, Zehao Yu, Yang Hua, Zhihong Zhang, Fumin Shen, Ling Shao, Timothy M. Hospedales, Neil Martin Robertson, Yongxin Yang:
Deep Multi-task Learning to Recognise Subtle Facial Expressions of Mental States. 106-123 - Wenqiang Xu, Yonglu Li, Cewu Lu:
SRDA: Generating Instance Segmentation Annotation via Scanning, Reasoning and Domain Adaptation. 124-140 - Xingyi Zhou, Arjun Karpur, Chuang Gan, Linjie Luo, Qixing Huang:
Unsupervised Domain Adaptation for 3D Keypoint Estimation via View Consistency. 141-157 - Arjun Nitin Bhagoji, Warren He, Bo Li, Dawn Song:
Practical Black-Box Attacks on Deep Neural Networks Using Efficient Query Mechanisms. 158-174 - WenQian Liu, Abhishek Sharma, Octavia I. Camps, Mario Sznaier:
DYAN: A Dynamical Atoms-Based Network for Video Prediction. 175-191 - Ligeng Zhu, Ruizhi Deng, Michael Maire, Zhiwei Deng, Greg Mori, Ping Tan:
Sparsely Aggregated Convolutional Networks. 192-208 - Dmitry Baranchuk, Artem Babenko, Yury Malkov:
Revisiting the Inverted Indices for Billion-Scale Approximate Nearest Neighbors. 209-224 - Santiago A. Cadena, Marissa A. Weis, Leon A. Gatys, Matthias Bethge, Alexander S. Ecker:
Diverse Feature Visualizations Reveal Invariances in Early Layers of Deep Neural Networks. 225-240 - Francisco M. Castro, Manuel J. Marín-Jiménez, Nicolás Guil, Cordelia Schmid, Karteek Alahari:
End-to-End Incremental Learning. 241-257 - Bryan A. Plummer, Paige Kordas, M. Hadi Kiapour, Shuai Zheng, Robinson Piramuthu, Svetlana Lazebnik:
Conditional Image-Text Embedding Networks. 258-274 - Danda Pani Paudel, Luc Van Gool:
Sampling Algebraic Varieties for Robust Camera Autocalibration. 275-292 - Yongyi Lu, Yu-Wing Tai, Chi-Keung Tang:
Attribute-Guided Face Generation Using Conditional CycleGAN. 293-308 - Ciprian A. Corneanu, Meysam Madadi, Sergio Escalera:
Deep Structure Inference Network for Facial Action Unit Recognition. 309-324 - Ian Cherabier, Johannes L. Schönberger, Martin R. Oswald, Marc Pollefeys, Andreas Geiger:
Learning Priors for Semantic 3D Reconstruction. 325-341 - Gedas Bertasius, Lorenzo Torresani, Jianbo Shi:
Object Detection in Video with Spatiotemporal Sampling Networks. 342-357 - Mrigank Rochan, Linwei Ye, Yang Wang:
Video Summarization Using Fully Convolutional Sequence Networks. 358-374 - Nikita Dvornik, Julien Mairal, Cordelia Schmid:
Modeling Visual Context Is Key to Augmenting Object Detection Datasets. 375-391 - Jiayuan Gu, Han Hu, Liwei Wang, Yichen Wei, Jifeng Dai:
Learning Region Features for Object Detection. 392-406 - Justin Liang, Raquel Urtasun:
End-to-End Deep Structured Models for Drawing Crosswalks. 407-423 - Santhosh K. Ramakrishnan, Kristen Grauman:
Sidekick Policy Learning for Active Visual Exploration. 424-442 - Hyojin Bahng, Seungjoo Yoo, Wonwoong Cho, David Keetae Park, Ziming Wu, Xiaojuan Ma, Jaegul Choo:
Coloring with Words: Guiding Image Colorization Through Text-Based Palette Generation. 443-459 - Yinlong Liu, Chen Wang, Zhijian Song, Manning Wang:
Efficient Global Point Cloud Registration by Matching Rotation Invariant Features Through Translation Search. 460-474 - Seong Tae Kim, Yong Man Ro:
Facial Dynamics Interpreter Network: What Are the Important Relations Between Local Dynamics for Facial Trait Estimation? 475-491 - Kohei Uehara, Antonio Tejero-de-Pablos, Yoshitaka Ushiku, Tatsuya Harada:
Visual Question Generation for Class Acquisition of Unknown Objects. 492-507 - Kejie Li, Trung Pham, Huangying Zhan, Ian D. Reid:
Efficient Dense Point Cloud Object Reconstruction Using Deformation Vector Fields. 508-524 - Daniel Jakubovitz, Raja Giryes:
Improving DNN Robustness to Adversarial Attacks Using Jacobian Regularization. 525-541 - Yufei Wang, Zhe Lin, Xiaohui Shen, Jianming Zhang, Scott Cohen:
Concept Mask: Large-Scale Segmentation from Semantic Concepts. 542-557 - Christopher Zach, Guillaume Bourmaud:
Descending, Lifting or Smoothing: Secrets of Robust Cost Optimization. 558-574 - Eric Müller-Budack, Kader Pustu-Iren, Ralph Ewerth:
Geolocation Estimation of Photos Using a Hierarchical Model and Scene Classification. 575-592 - Sergio Montazzolli Silva, Cláudio Rosito Jung:
License Plate Detection and Recognition in Unconstrained Scenarios. 593-609 - Xiaolin Zhang, Yunchao Wei, Guoliang Kang, Yi Yang, Thomas S. Huang:
Self-produced Guidance for Weakly-Supervised Object Localization. 610-625 - Eddy Ilg, Tonmoy Saikia, Margret Keuper, Thomas Brox:
Occlusions, Motion and Depth Boundaries with a Generic Network for Disparity, Optical Flow or Scene Flow Estimation. 626-643 - Dong Su, Huan Zhang, Hongge Chen, Jinfeng Yi, Pin-Yu Chen, Yupeng Gao:
Is Robustness the Cost of Accuracy? - A Comprehensive Study on the Robustness of 18 Deep Image Classification Models. 644-661 - Aaron Gokaslan, Vivek Ramanujan, Daniel Ritchie, Kwang In Kim, James Tompkin:
Improving Shape Deformation in Unsupervised Image-to-Image Translation. 662-678 - Amit Raj, Patsorn Sangkloy, Huiwen Chang, James Hays, Duygu Ceylan, Jingwan Lu:
SwapNet: Image Based Garment Transfer. 679-695
Optimization
- Zhipeng Cai, Tat-Jun Chin, Huu Le, David Suter:
Deterministic Consensus Maximization with Biconvex Programming. 699-714 - Tat-Jun Chin, Zhipeng Cai, Frank Neumann:
Robust Fitting in Computer Vision: Easy or Hard? 715-730 - Zheng Zhang, Li Liu, Jie Qin, Fan Zhu, Fumin Shen, Yong Xu, Ling Shao, Heng Tao Shen:
Highly-Economized Multi-view Binary Compression for Scalable Image Clustering. 731-748 - Jiahui Zhang, Hao Zhao, Anbang Yao, Yurong Chen, Li Zhang, Hongen Liao:
Efficient Semantic Scene Completion Network with Spatial Group Convolution. 749-765 - Daniel Gehrig, Henri Rebecq, Guillermo Gallego, Davide Scaramuzza:
Asynchronous, Photometric Feature Tracking Using Events and Frames. 766-781
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