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ORCID15th ECCV 2018: Munich, Germany - Volume 8
- Vittorio Ferrari, Martial Hebert, Cristian Sminchisescu, Yair Weiss:
Computer Vision - ECCV 2018 - 15th European Conference, Munich, Germany, September 8-14, 2018, Proceedings, Part VIII. Lecture Notes in Computer Science 11212, Springer 2018, ISBN 978-3-030-01236-6
Poster Session
- Hanyu Wang, Jianwei Guo
, Dong-Ming Yan, Weize Quan, Xiaopeng Zhang:
Learning 3D Keypoint Descriptors for Non-rigid Shape Matching. 3-20 - Jun Xu, Lei Zhang, David Zhang:
A Trilateral Weighted Sparse Coding Scheme for Real-World Image Denoising. 21-38 - Naeha Sharif, Lyndon White, Mohammed Bennamoun, Syed Afaq Ali Shah:
NNEval: Neural Network Based Evaluation Metric for Image Captioning. 39-55 - Yuan-Ting Hu, Jia-Bin Huang, Alexander G. Schwing:
VideoMatch: Matching Based Video Object Segmentation. 56-73 - Zhe Chen, Shaoli Huang, Dacheng Tao:
Context Refinement for Object Detection. 74-89 - Yifan Xu, Tianqi Fan, Mingye Xu, Long Zeng, Yu Qiao:
SpiderCNN: Deep Learning on Point Sets with Parameterized Convolutional Filters. 90-105 - Nuno C. Garcia, Pietro Morerio, Vittorio Murino:
Modality Distillation with Multiple Stream Networks for Action Recognition. 106-121 - Bolei Zhou, Yiyou Sun, David Bau, Antonio Torralba:
Interpretable Basis Decomposition for Visual Explanation. 122-138 - Zhangjie Cao, Lijia Ma, Mingsheng Long, Jianmin Wang:
Partial Adversarial Domain Adaptation. 139-155 - Yandong Li, Liqiang Wang, Tianbao Yang, Boqing Gong:
How Local Is the Local Diversity? Reinforcing Sequential Determinantal Point Processes with Dynamic Ground Sets for Supervised Video Summarization. 156-174 - Hsueh-Fu Lu, Xiaofei Du, Ping-Lin Chang:
Toward Scale-Invariance and Position-Sensitive Region Proposal Networks. 175-190 - Tianyun Zhang, Shaokai Ye, Kaiqi Zhang, Jian Tang, Wujie Wen, Makan Fardad, Yanzhi Wang:
A Systematic DNN Weight Pruning Framework Using Alternating Direction Method of Multipliers. 191-207 - Chanho Kim, Fuxin Li, James M. Rehg:
Multi-object Tracking with Neural Gating Using Bilinear LSTM. 208-224 - Sanghyun Son, Seungjun Nah, Kyoung Mu Lee:
Clustering Convolutional Kernels to Compress Deep Neural Networks. 225-240 - Yabin Zhang, Hui Tang, Kui Jia:
Fine-Grained Visual Categorization Using Meta-learning Optimization with Sample Selection of Auxiliary Data. 241-256 - Fangneng Zhan, Shijian Lu, Chuhui Xue:
Verisimilar Image Synthesis for Accurate Detection and Recognition of Texts in Scenes. 257-273 - Yi Wei, Xinyu Pan, Hongwei Qin, Wanli Ouyang, Junjie Yan:
Quantization Mimic: Towards Very Tiny CNN for Object Detection. 274-290 - Ronald Clark, Michael Bloesch, Jan Czarnowski, Stefan Leutenegger, Andrew J. Davison:
Learning to Solve Nonlinear Least Squares for Monocular Stereo. 291-306 - Bo Peng, Wenming Tan, Zheyang Li, Shun Zhang, Di Xie, Shiliang Pu:
Extreme Network Compression via Filter Group Approximation. 307-323 - Chao Li, Zheheng Zhao, Xiaohu Guo:
ArticulatedFusion: Real-Time Reconstruction of Motion, Geometry and Segmentation Using a Single Depth Camera. 324-340 - Csaba Domokos, Frank R. Schmidt, Daniel Cremers:
MRF Optimization with Separable Convex Prior on Partially Ordered Labels. 341-356 - Pau Rodríguez, Josep M. Gonfaus, Guillem Cucurull, F. Xavier Roca, Jordi Gonzàlez:
Attend and Rectify: A Gated Attention Mechanism for Fine-Grained Recovery. 357-372 - Dongqing Zhang, Jiaolong Yang, Dongqiangzi Ye, Gang Hua:
LQ-Nets: Learned Quantization for Highly Accurate and Compact Deep Neural Networks. 373-390 - Ke Zhang, Kristen Grauman, Fei Sha:
Retrospective Encoders for Video Summarization. 391-408 - Changan Chen, Frederick Tung, Naveen Vedula, Greg Mori:
Constraint-Aware Deep Neural Network Compression. 409-424 - Chao-Yuan Wu, Nayan Singhal, Philipp Krähenbühl:
Video Compression Through Image Interpolation. 425-440 - Liang-Yan Gui, Yu-Xiong Wang, Deva Ramanan, José M. F. Moura:
Few-Shot Human Motion Prediction via Meta-learning. 441-459 - Medhini Narasimhan, Alexander G. Schwing:
Straight to the Facts: Learning Knowledge Base Retrieval for Factual Visual Question Answering. 460-477 - Danfeng Hong, Naoto Yokoya, Jian Xu, Xiaoxiang Zhu:
Joint and Progressive Learning from High-Dimensional Data for Multi-label Classification. 478-493 - Fanyi Xiao, Yong Jae Lee:
Video Object Detection with an Aligned Spatial-Temporal Memory. 494-510 - Yuta Asano, Misaki Meguro, Chao Wang, Antony Lam, Yinqiang Zheng, Takahiro Okabe, Imari Sato:
Coded Illumination and Imaging for Fluorescence Based Classification. 511-526 - Juncheng Li, Faming Fang, Kangfu Mei, Guixu Zhang:
Multi-scale Residual Network for Image Super-Resolution. 527-542 - Brook Roberts, Sebastian Kaltwang, Sina Samangooei, Mark Pender-Bare, Konstantinos Tertikas, John Redford:
A Dataset for Lane Instance Segmentation in Urban Environments. 543-559 - Apoorv Vyas, Nataraj Jammalamadaka, Xia Zhu, Dipankar Das, Bharat Kaul, Theodore L. Willke:
Out-of-Distribution Detection Using an Ensemble of Self Supervised Leave-Out Classifiers. 560-574 - Daniel Maurer, Nico Marniok, Bastian Goldluecke, Andrés Bruhn:
Structure-from-Motion-Aware PatchMatch for Adaptive Optical Flow Estimation. 575-592 - Ke Li, Kaiyue Pang, Jifei Song, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales, Honggang Zhang:
Universal Sketch Perceptual Grouping. 593-609 - Tanmay Gupta, Dustin Schwenk, Ali Farhadi, Derek Hoiem, Aniruddha Kembhavi:
Imagine This! Scripts to Compositions to Videos. 610-626 - Tian Feng, Quang-Trung Truong, Duc Thanh Nguyen, Jing Yu Koh, Lap-Fai Yu, Alexander Binder, Sai-Kit Yeung:
Urban Zoning Using Higher-Order Markov Random Fields on Multi-View Imagery Data. 627-644 - Xuanyu Zhu, Yi Xu, Hongteng Xu, Changjian Chen:
Quaternion Convolutional Neural Networks. 645-661 - Alexander Vakhitov, Victor S. Lempitsky, Yinqiang Zheng:
Stereo Relative Pose from Line and Point Feature Triplets. 662-677
Computational Photography
- Sizhuo Ma, Brandon M. Smith, Mohit Gupta:
3D Scene Flow from 4D Light Field Gradients. 681-698 - David Schubert, Nikolaus Demmel, Vladyslav Usenko, Jörg Stückler, Daniel Cremers:
Direct Sparse Odometry with Rolling Shutter. 699-714 - Artsiom Sanakoyeu, Dmytro Kotovenko, Sabine Lang, Björn Ommer:
A Style-Aware Content Loss for Real-Time HD Style Transfer. 715-731 - Niclas Zeller, Franz Quint, Uwe Stilla:
Scale-Awareness of Light Field Camera Based Visual Odometry. 732-747 - Miika Aittala, Frédo Durand:
Burst Image Deblurring Using Permutation Invariant Convolutional Neural Networks. 748-764
Stereo and Reconstruction
- Yifei Shi, Kai Xu, Matthias Nießner, Szymon Rusinkiewicz, Thomas A. Funkhouser:
PlaneMatch: Patch Coplanarity Prediction for Robust RGB-D Reconstruction. 767-784 - Yao Yao, Zixin Luo, Shiwei Li, Tian Fang, Long Quan:
MVSNet: Depth Inference for Unstructured Multi-view Stereo. 785-801 - Yinda Zhang, Sameh Khamis, Christoph Rhemann, Julien P. C. Valentin, Adarsh Kowdle, Vladimir Tankovich, Michael Schoenberg, Shahram Izadi, Thomas A. Funkhouser, Sean Ryan Fanello:
ActiveStereoNet: End-to-End Self-supervised Learning for Active Stereo Systems. 802-819 - Li Jiang, Shaoshuai Shi, Xiaojuan Qi, Jiaya Jia:
GAL: Geometric Adversarial Loss for Single-View 3D-Object Reconstruction. 820-834 - Nan Yang, Rui Wang, Jörg Stückler, Daniel Cremers:
Deep Virtual Stereo Odometry: Leveraging Deep Depth Prediction for Monocular Direct Sparse Odometry. 835-852
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