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ORCID15th ECCV 2018: Munich, Germany - Volume 15
- Vittorio Ferrari, Martial Hebert, Cristian Sminchisescu, Yair Weiss:
Computer Vision - ECCV 2018 - 15th European Conference, Munich, Germany, September 8-14, 2018, Proceedings, Part XV. Lecture Notes in Computer Science 11219, Springer 2018, ISBN 978-3-030-01266-3
Poster Session
- Satoshi Ikehata:
CNN-PS: CNN-Based Photometric Stereo for General Non-convex Surfaces. 3-19 - Fang Zhao
, Jian Zhao, Shuicheng Yan, Jiashi Feng:
Dynamic Conditional Networks for Few-Shot Learning. 20-36 - Kaiyue Pang, Da Li, Jifei Song, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales:
Deep Factorised Inverse-Sketching. 37-54 - Jianbo Jiao, Ying Cao, Yibing Song, Rynson W. H. Lau:
Look Deeper into Depth: Monocular Depth Estimation with Semantic Booster and Attention-Driven Loss. 55-71 - Hsuan-I Ho, Wei-Chen Chiu, Yu-Chiang Frank Wang:
Summarizing First-Person Videos from Third Persons' Points of Views. 72-89 - Guandao Yang, Yin Cui, Serge J. Belongie, Bharath Hariharan:
Learning Single-View 3D Reconstruction with Limited Pose Supervision. 90-105 - Qizhu Li, Anurag Arnab, Philip H. S. Torr:
Weakly- and Semi-supervised Panoptic Segmentation. 106-124 - Markus Oberweger, Mahdi Rad, Vincent Lepetit:
Making Deep Heatmaps Robust to Partial Occlusions for 3D Object Pose Estimation. 125-141 - Siyuan Qiao, Wei Shen, Zhishuai Zhang, Bo Wang, Alan L. Yuille:
Deep Co-Training for Semi-Supervised Image Recognition. 142-159 - Satwik Kottur, José M. F. Moura, Devi Parikh, Dhruv Batra, Marcus Rohrbach:
Visual Coreference Resolution in Visual Dialog Using Neural Module Networks. 160-178 - Wei-Sheng Lai, Jia-Bin Huang, Oliver Wang, Eli Shechtman, Ersin Yumer, Ming-Hsuan Yang:
Learning Blind Video Temporal Consistency. 179-195 - Deng-Ping Fan, Ming-Ming Cheng, Jiang-Jiang Liu, Shanghua Gao, Qibin Hou, Ali Borji:
Salient Objects in Clutter: Bringing Salient Object Detection to the Foreground. 196-212 - Vivek B. S., Konda Reddy Mopuri, R. Venkatesh Babu:
Gray-Box Adversarial Training. 213-228 - Damien Teney, Anton van den Hengel:
Visual Question Answering as a Meta Learning Task. 229-245 - Felipe Codevilla, Antonio M. López, Vladlen Koltun, Alexey Dosovitskiy:
On Offline Evaluation of Vision-Based Driving Models. 246-262 - Brandon RichardWebster, So Yon Kwon, Christopher Clarizio, Samuel E. Anthony, Walter J. Scheirer:
Visual Psychophysics for Making Face Recognition Algorithms More Explainable. 263-281 - Yanchao Yang, Stefano Soatto:
Conditional Prior Networks for Optical Flow. 282-298 - Ruoteng Li, Robby T. Tan, Loong-Fah Cheong:
Robust Optical Flow in Rainy Scenes. 299-317 - Saining Xie, Chen Sun, Jonathan Huang, Zhuowen Tu, Kevin Murphy:
Rethinking Spatiotemporal Feature Learning: Speed-Accuracy Trade-offs in Video Classification. 318-335 - Liang Mi, Wen Zhang, Xianfeng Gu, Yalin Wang:
Variational Wasserstein Clustering. 336-352 - Xihui Liu, Hongsheng Li, Jing Shao, Dapeng Chen, Xiaogang Wang:
Show, Tell and Discriminate: Image Captioning by Self-retrieval with Partially Labeled Data. 353-369 - Xin Li, Fan Yang, Hong Cheng, Wei Liu, Dinggang Shen:
Contour Knowledge Transfer for Salient Object Detection. 370-385 - Angjoo Kanazawa, Shubham Tulsiani, Alexei A. Efros, Jitendra Malik:
Learning Category-Specific Mesh Reconstruction from Image Collections. 386-402 - Long Zhao, Xi Peng, Yu Tian, Mubbasir Kapadia, Dimitris N. Metaxas:
Learning to Forecast and Refine Residual Motion for Image-to-Video Generation. 403-419 - Minho Shim, Young Hwi Kim, Kyungmin Kim, Seon Joo Kim:
Teaching Machines to Understand Baseball Games: Large-Scale Baseball Video Database for Multiple Video Understanding Tasks. 420-437 - Changqing Zou, Qian Yu, Ruofei Du, Haoran Mo, Yi-Zhe Song, Tao Xiang, Chengying Gao, Baoquan Chen, Hao Zhang:
SketchyScene: Richly-Annotated Scene Sketches. 438-454 - Benjamin Hepp, Debadeepta Dey, Sudipta N. Sinha, Ashish Kapoor, Neel Joshi, Otmar Hilliges:
Learn-to-Score: Efficient 3D Scene Exploration by Predicting View Utility. 455-472 - Bowen Cheng, Yunchao Wei, Honghui Shi, Rogério Schmidt Feris, Jinjun Xiong, Thomas S. Huang:
Revisiting RCNN: On Awakening the Classification Power of Faster RCNN. 473-490 - Guan'an Wang, Qinghao Hu, Jian Cheng, Zeng-Guang Hou:
Semi-supervised Generative Adversarial Hashing for Image Retrieval. 491-507 - Yantao Shen, Hongsheng Li, Shuai Yi, Dapeng Chen, Xiaogang Wang:
Person Re-identification with Deep Similarity-Guided Graph Neural Network. 508-526 - Lei Zhou, Siyu Zhu, Zixin Luo, Tianwei Shen, Runze Zhang, Mingmin Zhen, Tian Fang, Long Quan:
Learning and Matching Multi-View Descriptors for Registration of Point Clouds. 527-544 - Abdullah Abuolaim, Abhijith Punnappurath, Michael S. Brown:
Revisiting Autofocus for Smartphone Cameras. 545-559 - Clément Godard, Kevin Matzen, Matt Uyttendaele:
Deep Burst Denoising. 560-577 - Auston Sterling, Justin Wilson, Sam Lowe, Ming C. Lin:
ISNN: Impact Sound Neural Network for Audio-Visual Object Classification. 578-595 - Sameh Khamis, Sean Ryan Fanello, Christoph Rhemann, Adarsh Kowdle, Julien P. C. Valentin, Shahram Izadi:
StereoNet: Guided Hierarchical Refinement for Real-Time Edge-Aware Depth Prediction. 596-613 - Xi Zhang, Hanjiang Lai, Jiashi Feng:
Attention-Aware Deep Adversarial Hashing for Cross-Modal Retrieval. 614-629 - Zi Jian Yew, Gim Hee Lee:
3DFeat-Net: Weakly Supervised Local 3D Features for Point Cloud Registration. 630-646 - Ya Li, Xinmei Tian, Mingming Gong, Yajing Liu, Tongliang Liu, Kun Zhang, Dacheng Tao:
Deep Domain Generalization via Conditional Invariant Adversarial Networks. 647-663 - Siqi Yang, Arnold Wiliem, Shaokang Chen, Brian C. Lovell:
Using LIP to Gloss Over Faces in Single-Stage Face Detection Networks. 664-681 - Jiren Zhu, Russell Kaplan, Justin Johnson, Li Fei-Fei:
HiDDeN: Hiding Data With Deep Networks. 682-697 - Kyung-Min Kim, Seong-Ho Choi, Jin-Hwa Kim, Byoung-Tak Zhang:
Multimodal Dual Attention Memory for Video Story Question Answering. 698-713 - Xudong Lin, Yueqi Duan, Qiyuan Dong, Jiwen Lu, Jie Zhou:
Deep Variational Metric Learning. 714-729 - Benjamin Eckart, Kihwan Kim, Jan Kautz:
HGMR: Hierarchical Gaussian Mixtures for Adaptive 3D Registration. 730-746 - Zechun Liu, Baoyuan Wu, Wenhan Luo, Xin Yang, Wei Liu, Kwang-Ting Cheng:
Bi-Real Net: Enhancing the Performance of 1-Bit CNNs with Improved Representational Capability and Advanced Training Algorithm. 747-763 - Yitong Wang, Dihong Gong, Zheng Zhou, Xing Ji, Hao Wang, Zhifeng Li, Wei Liu, Tong Zhang:
Orthogonal Deep Features Decomposition for Age-Invariant Face Recognition. 764-779 - Simyung Chang, John Yang, Seonguk Park, Nojun Kwak:
Broadcasting Convolutional Network for Visual Relational Reasoning. 780-796 - Uta Büchler, Biagio Brattoli, Björn Ommer:
Improving Spatiotemporal Self-supervision by Deep Reinforcement Learning. 797-814 - Samuel Schulter, Menghua Zhai, Nathan Jacobs, Manmohan Chandraker:
Learning to Look around Objects for Top-View Representations of Outdoor Scenes. 815-831 - Mohammed E. Fathy, Quoc-Huy Tran, M. Zeeshan Zia, Paul Vernaza, Manmohan Chandraker:
Hierarchical Metric Learning and Matching for 2D and 3D Geometric Correspondences. 832-850 - Calvin Murdock, Ming-Fang Chang, Simon Lucey:
Deep Component Analysis via Alternating Direction Neural Networks. 851-867 - Keren Ye, Adriana Kovashka:
ADVISE: Symbolism and External Knowledge for Decoding Advertisements. 868-886
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