Computer Vision – ECCV 2018: 15th European Conference, Munich, Germany, September 8-14, 2018, Proceedings, Part XV

Front Matter ....Pages I-XXXI
Front Matter ....Pages 1-1
 CNN-PS: CNN-Based Photometric Stereo for General Non-convex Surfaces  (Satoshi Ikehata)....Pages 3-19
 Dynamic Conditional Networks for Few-Shot Learning  (Fang Zhao, Jian Zhao, Shuicheng Yan, Jiashi Feng)....Pages 20-36
 Deep Factorised Inverse-Sketching  (Kaiyue Pang, Da Li, Jifei Song, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales)....Pages 37-54
 Look Deeper into Depth: Monocular Depth Estimation with Semantic Booster and Attention-Driven Loss  (Jianbo Jiao, Ying Cao, Yibing Song, Rynson Lau)....Pages 55-71
 Summarizing First-Person Videos from Third Persons’ Points of Views  (Hsuan-I Ho, Wei-Chen Chiu, Yu-Chiang Frank Wang)....Pages 72-89
 Learning Single-View 3D Reconstruction with Limited Pose Supervision  (Guandao Yang, Yin Cui, Serge Belongie, Bharath Hariharan)....Pages 90-105
 Weakly- and Semi-supervised Panoptic Segmentation  (Qizhu Li, Anurag Arnab, Philip H. S. Torr)....Pages 106-124
 Making Deep Heatmaps Robust to Partial Occlusions for 3D Object Pose Estimation  (Markus Oberweger, Mahdi Rad, Vincent Lepetit)....Pages 125-141
 Deep Co-Training for Semi-Supervised Image Recognition  (Siyuan Qiao, Wei Shen, Zhishuai Zhang, Bo Wang, Alan Yuille)....Pages 142-159
 Visual Coreference Resolution in Visual Dialog Using Neural Module Networks  (Satwik Kottur, José M. F. Moura, Devi Parikh, Dhruv Batra, Marcus Rohrbach)....Pages 160-178
 Learning Blind Video Temporal Consistency  (Wei-Sheng Lai, Jia-Bin Huang, Oliver Wang, Eli Shechtman, Ersin Yumer, Ming-Hsuan Yang)....Pages 179-195
 Salient Objects in Clutter: Bringing Salient Object Detection to the Foreground  (Deng-Ping Fan, Ming-Ming Cheng, Jiang-Jiang Liu, Shang-Hua Gao, Qibin Hou, Ali Borji)....Pages 196-212
 Gray-Box Adversarial Training  (B. S. Vivek, Konda Reddy Mopuri, R. Venkatesh Babu)....Pages 213-228
 Visual Question Answering as a Meta Learning Task  (Damien Teney, Anton van den Hengel)....Pages 229-245
 On Offline Evaluation of Vision-Based Driving Models  (Felipe Codevilla, Antonio M. López, Vladlen Koltun, Alexey Dosovitskiy)....Pages 246-262
 Visual Psychophysics for Making Face Recognition Algorithms More Explainable  (Brandon RichardWebster, So Yon Kwon, Christopher Clarizio, Samuel E. Anthony, Walter J. Scheirer)....Pages 263-281
 Conditional Prior Networks for Optical Flow  (Yanchao Yang, Stefano Soatto)....Pages 282-298
 Robust Optical Flow in Rainy Scenes  (Ruoteng Li, Robby T. Tan, Loong-Fah Cheong)....Pages 299-317
 Rethinking Spatiotemporal Feature Learning: Speed-Accuracy Trade-offs in Video Classification  (Saining Xie, Chen Sun, Jonathan Huang, Zhuowen Tu, Kevin Murphy)....Pages 318-335
 Variational Wasserstein Clustering  (Liang Mi, Wen Zhang, Xianfeng Gu, Yalin Wang)....Pages 336-352
 Show, Tell and Discriminate: Image Captioning by Self-retrieval with Partially Labeled Data  (Xihui Liu, Hongsheng Li, Jing Shao, Dapeng Chen, Xiaogang Wang)....Pages 353-369
 Contour Knowledge Transfer for Salient Object Detection  (Xin Li, Fan Yang, Hong Cheng, Wei Liu, Dinggang Shen)....Pages 370-385
 Learning Category-Specific Mesh Reconstruction from Image Collections  (Angjoo Kanazawa, Shubham Tulsiani, Alexei A. Efros, Jitendra Malik)....Pages 386-402
 Learning to Forecast and Refine Residual Motion for Image-to-Video Generation  (Long Zhao, Xi Peng, Yu Tian, Mubbasir Kapadia, Dimitris Metaxas)....Pages 403-419
 Teaching Machines to Understand Baseball Games: Large-Scale Baseball Video Database for Multiple Video Understanding Tasks  (Minho Shim, Young Hwi Kim, Kyungmin Kim, Seon Joo Kim)....Pages 420-437
 SketchyScene: Richly-Annotated Scene Sketches  (Changqing Zou, Qian Yu, Ruofei Du, Haoran Mo, Yi-Zhe Song, Tao Xiang et al.)....Pages 438-454
 Learn-to-Score: Efficient 3D Scene Exploration by Predicting View Utility  (Benjamin Hepp, Debadeepta Dey, Sudipta N. Sinha, Ashish Kapoor, Neel Joshi, Otmar Hilliges)....Pages 455-472
 Revisiting RCNN: On Awakening the Classification Power of Faster RCNN  (Bowen Cheng, Yunchao Wei, Honghui Shi, Rogerio Feris, Jinjun Xiong, Thomas Huang)....Pages 473-490
 Semi-supervised Generative Adversarial Hashing for Image Retrieval  (Guan’an Wang, Qinghao Hu, Jian Cheng, Zengguang Hou)....Pages 491-507
 Person Re-identification with Deep Similarity-Guided Graph Neural Network  (Yantao Shen, Hongsheng Li, Shuai Yi, Dapeng Chen, Xiaogang Wang)....Pages 508-526
 Learning and Matching Multi-View Descriptors for Registration of Point Clouds  (Lei Zhou, Siyu Zhu, Zixin Luo, Tianwei Shen, Runze Zhang, Mingmin Zhen et al.)....Pages 527-544
 Revisiting Autofocus for Smartphone Cameras  (Abdullah Abuolaim, Abhijith Punnappurath, Michael S. Brown)....Pages 545-559
 Deep Burst Denoising  (Clément Godard, Kevin Matzen, Matt Uyttendaele)....Pages 560-577
 ISNN: Impact Sound Neural Network for Audio-Visual Object Classification  (Auston Sterling, Justin Wilson, Sam Lowe, Ming C. Lin)....Pages 578-595
 StereoNet: Guided Hierarchical Refinement for Real-Time Edge-Aware Depth Prediction  (Sameh Khamis, Sean Fanello, Christoph Rhemann, Adarsh Kowdle, Julien Valentin, Shahram Izadi)....Pages 596-613
 Attention-Aware Deep Adversarial Hashing for Cross-Modal Retrieval  (Xi Zhang, Hanjiang Lai, Jiashi Feng)....Pages 614-629
 3DFeat-Net: Weakly Supervised Local 3D Features for Point Cloud Registration  (Zi Jian Yew, Gim Hee Lee)....Pages 630-646
 Deep Domain Generalization via Conditional Invariant Adversarial Networks  (Ya Li, Xinmei Tian, Mingming Gong, Yajing Liu, Tongliang Liu, Kun Zhang et al.)....Pages 647-663
 Using LIP to Gloss Over Faces in Single-Stage Face Detection Networks  (Siqi Yang, Arnold Wiliem, Shaokang Chen, Brian C. Lovell)....Pages 664-681
 HiDDeN: Hiding Data With Deep Networks  (Jiren Zhu, Russell Kaplan, Justin Johnson, Li Fei-Fei)....Pages 682-697
 Multimodal Dual Attention Memory for Video Story Question Answering  (Kyung-Min Kim, Seong-Ho Choi, Jin-Hwa Kim, Byoung-Tak Zhang)....Pages 698-713
 Deep Variational Metric Learning  (Xudong Lin, Yueqi Duan, Qiyuan Dong, Jiwen Lu, Jie Zhou)....Pages 714-729
 HGMR: Hierarchical Gaussian Mixtures for Adaptive 3D Registration  (Benjamin Eckart, Kihwan Kim, Jan Kautz)....Pages 730-746
 Bi-Real Net: Enhancing the Performance of 1-Bit CNNs with Improved Representational Capability and Advanced Training Algorithm  (Zechun Liu, Baoyuan Wu, Wenhan Luo, Xin Yang, Wei Liu, Kwang-Ting Cheng)....Pages 747-763
 Orthogonal Deep Features Decomposition for Age-Invariant Face Recognition  (Yitong Wang, Dihong Gong, Zheng Zhou, Xing Ji, Hao Wang, Zhifeng Li et al.)....Pages 764-779
 Broadcasting Convolutional Network for Visual Relational Reasoning  (Simyung Chang, John Yang, SeongUk Park, Nojun Kwak)....Pages 780-796
 Improving Spatiotemporal Self-supervision by Deep Reinforcement Learning  (Uta Büchler, Biagio Brattoli, Björn Ommer)....Pages 797-814
 Learning to Look around Objects for Top-View Representations of Outdoor Scenes  (Samuel Schulter, Menghua Zhai, Nathan Jacobs, Manmohan Chandraker)....Pages 815-831
 Hierarchical Metric Learning and Matching for 2D and 3D Geometric Correspondences  (Mohammed E. Fathy, Quoc-Huy Tran, M. Zeeshan Zia, Paul Vernaza, Manmohan Chandraker)....Pages 832-850
 Deep Component Analysis via Alternating Direction Neural Networks  (Calvin Murdock, Ming-Fang Chang, Simon Lucey)....Pages 851-867
 ADVISE: Symbolism and External Knowledge for Decoding Advertisements  (Keren Ye, Adriana Kovashka)....Pages 868-886
Back Matter ....Pages 887-889