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ORCID15th ECCV 2018: Munich, Germany - Volume 11
- Vittorio Ferrari, Martial Hebert, Cristian Sminchisescu, Yair Weiss:
Computer Vision - ECCV 2018 - 15th European Conference, Munich, Germany, September 8-14, 2018, Proceedings, Part XI. Lecture Notes in Computer Science 11215, Springer 2018, ISBN 978-3-030-01251-9
Poster Session
- Chang Chen, Zhiwei Xiong, Xinmei Tian, Feng Wu:
Deep Boosting for Image Denoising. 3-19 - Huaizu Jiang, Gustav Larsson, Michael Maire, Greg Shakhnarovich, Erik G. Learned-Miller:
Self-Supervised Relative Depth Learning for Urban Scene Understanding. 20-37 - Hossam N. Isack, Lena Gorelick, Karin Ng, Olga Veksler, Yuri Boykov:
K-convexity Shape Priors for Segmentation. 38-54 - Nanyang Wang, Yinda Zhang, Zhuwen Li, Yanwei Fu
, Wei Liu, Yu-Gang Jiang:
Pixel2Mesh: Generating 3D Mesh Models from Single RGB Images. 55-71 - Shi Chen, Qi Zhao:
Boosted Attention: Leveraging Human Attention for Image Captioning. 72-88 - Guilin Liu, Fitsum A. Reda, Kevin J. Shih, Ting-Chun Wang, Andrew Tao, Bryan Catanzaro:
Image Inpainting for Irregular Holes Using Partial Convolutions. 89-105 - Minyoung Huh, Andrew Liu, Andrew Owens, Alexei A. Efros:
Fighting Fake News: Image Splice Detection via Learned Self-Consistency. 106-124 - Umar Iqbal, Pavlo Molchanov, Thomas M. Breuel, Juergen Gall, Jan Kautz:
Hand Pose Estimation via Latent 2.5D Heatmap Regression. 125-143 - Weiyue Wang, Ulrich Neumann:
Depth-Aware CNN for RGB-D Segmentation. 144-161 - Amir Sadeghian, Ferdinand Legros, Maxime Voisin, Ricky Vesel, Alexandre Alahi, Silvio Savarese:
CAR-Net: Clairvoyant Attentive Recurrent Network. 162-180 - Hao Cheng, Dongze Lian, Shenghua Gao, Yanlin Geng:
Evaluating Capability of Deep Neural Networks for Image Classification via Information Plane. 181-195 - Kaipeng Zhang, Zhanpeng Zhang, Chia-Wen Cheng, Winston H. Hsu, Yu Qiao, Wei Liu, Tong Zhang:
Super-Identity Convolutional Neural Network for Face Hallucination. 196-211 - Fabian Caba Heilbron, Joon-Young Lee, Hailin Jin, Bernard Ghanem:
What Do I Annotate Next? An Empirical Study of Active Learning for Action Localization. 212-229 - Baris Gecer, Binod Bhattarai, Josef Kittler, Tae-Kyun Kim:
Semi-supervised Adversarial Learning to Generate Photorealistic Face Images of New Identities from 3D Morphable Model. 230-248 - Yi Zhou, Liwen Hu, Jun Xing, Weikai Chen, Han-Wei Kung, Xin Tong, Hao Li:
HairNet: Single-View Hair Reconstruction Using Convolutional Neural Networks. 249-265 - Hongyang Li, Xiaoyang Guo, Bo Dai, Wanli Ouyang, Xiaogang Wang:
Neural Network Encapsulation. 266-282 - Nikolaos Passalis, Anastasios Tefas:
Learning Deep Representations with Probabilistic Knowledge Transfer. 283-299 - Shervin Ardeshir, Ali Borji:
Integrating Egocentric Videos in Top-View Surveillance Videos: Joint Identification and Temporal Alignment. 300-317 - Xiaohan Fei, Stefano Soatto:
Visual-Inertial Object Detection and Mapping. 318-334 - Chen Sun, Abhinav Shrivastava, Carl Vondrick, Kevin Murphy, Rahul Sukthankar, Cordelia Schmid:
Actor-Centric Relation Network. 335-351 - Tz-Ying Wu, Juan-Ting Lin, Tsun-Hsuan Wang, Chan-Wei Hu, Juan Carlos Niebles, Min Sun:
Liquid Pouring Monitoring via Rich Sensory Inputs. 352-369 - Peng Tang, Xinggang Wang, Angtian Wang, Yongluan Yan, Wenyu Liu, Junzhou Huang, Alan L. Yuille:
Weakly Supervised Region Proposal Network and Object Detection. 370-386 - Qingyi Tao, Hao Yang, Jianfei Cai:
Zero-Annotation Object Detection with Web Knowledge Transfer. 387-403 - Songtao Liu, Di Huang, Yunhong Wang:
Receptive Field Block Net for Accurate and Fast Object Detection. 404-419 - Guoliang Kang, Liang Zheng, Yan Yan, Yi Yang:
Deep Adversarial Attention Alignment for Unsupervised Domain Adaptation: The Benefit of Target Expectation Maximization. 420-436 - Muhammed Kocabas, Salih Karagoz, Emre Akbas:
MultiPoseNet: Fast Multi-Person Pose Estimation Using Pose Residual Network. 437-453 - Yunchao Wei, Zhiqiang Shen, Bowen Cheng, Honghui Shi, Jinjun Xiong, Jiashi Feng, Thomas S. Huang:
TS ^2 2 C: Tight Box Mining with Surrounding Segmentation Context for Weakly Supervised Object Detection. 454-470 - Hyo Jin Kim, Jan-Michael Frahm:
Hierarchy of Alternating Specialists for Scene Recognition. 471-488 - Yilei Xiong, Bo Dai, Dahua Lin:
Move Forward and Tell: A Progressive Generator of Video Descriptions. 489-505 - Xiaoyang Guo, Hongsheng Li, Shuai Yi, Jimmy S. J. Ren, Xiaogang Wang:
Learning Monocular Depth by Distilling Cross-Domain Stereo Networks. 506-523 - Hai Ci, Chunyu Wang, Yizhou Wang:
Video Object Segmentation by Learning Location-Sensitive Embeddings. 524-539 - Jin-Dong Dong, An-Chieh Cheng, Da-Cheng Juan, Wei Wei, Min Sun:
DPP-Net: Device-Aware Progressive Search for Pareto-Optimal Neural Architectures. 540-555 - Arslan Chaudhry, Puneet Kumar Dokania, Thalaiyasingam Ajanthan, Philip H. S. Torr:
Riemannian Walk for Incremental Learning: Understanding Forgetting and Intransigence. 556-572 - Xiaofeng Liu, B. V. K. Vijaya Kumar, Chao Yang, Qingming Tang, Jane You:
Dependency-Aware Attention Control for Unconstrained Face Recognition with Image Sets. 573-590 - Andrew Gilbert, Marco Volino, John P. Collomosse, Adrian Hilton:
Volumetric Performance Capture from Minimal Camera Viewpoints. 591-607 - Mathieu Garon, Denis Laurendeau, Jean-François Lalonde:
A Framework for Evaluating 6-DOF Object Trackers. 608-623 - Ko Nishino, Art Subpa-Asa, Yuta Asano, Mihoko Shimano, Imari Sato:
Variable Ring Light Imaging: Capturing Transient Subsurface Scattering with an Ordinary Camera. 624-639 - Lingjie Zhu, Shuhan Shen, Xiang Gao, Zhanyi Hu:
Large Scale Urban Scene Modeling from MVS Meshes. 640-655 - Edgar Margffoy-Tuay, Juan C. Pérez, Emilio Botero, Pablo Arbeláez:
Dynamic Multimodal Instance Segmentation Guided by Natural Language Queries. 656-672 - Jiajun Wu, Chengkai Zhang, Xiuming Zhang, Zhoutong Zhang, William T. Freeman, Joshua B. Tenenbaum:
Learning Shape Priors for Single-View 3D Completion And Reconstruction. 673-691 - Ruohan Zhang, Zhuode Liu, Luxin Zhang, Jake Alden Whritner, Karl S. Muller, Mary M. Hayhoe, Dana H. Ballard:
AGIL: Learning Attention from Human for Visuomotor Tasks. 692-707 - Nikolaos Sarafianos, Xiang Xu, Ioannis A. Kakadiaris:
Deep Imbalanced Attribute Classification Using Visual Attention Aggregation. 708-725 - Jie Liang, Jufeng Yang, Hsin-Ying Lee, Kai Wang, Ming-Hsuan Yang:
Sub-GAN: An Unsupervised Generative Model via Subspaces. 726-743 - Hongmei Song, Wenguan Wang, Sanyuan Zhao, Jianbing Shen, Kin-Man Lam:
Pyramid Dilated Deeper ConvLSTM for Video Salient Object Detection. 744-760 - Panna Felsen, Patrick Lucey, Sujoy Ganguly:
Where Will They Go? Predicting Fine-Grained Adversarial Multi-agent Motion Using Conditional Variational Autoencoders. 761-776 - Jiangxin Dong, Jinshan Pan, Deqing Sun, Zhixun Su, Ming-Hsuan Yang:
Learning Data Terms for Non-blind Deblurring. 777-792 - Kuan-Chuan Peng, Ziyan Wu, Jan Ernst:
Zero-Shot Deep Domain Adaptation. 793-810 - Weidi Xie, Li Shen, Andrew Zisserman:
Comparator Networks. 811-826 - Hongyu Xu, Xutao Lv, Xiaoyu Wang, Zhou Ren, Navaneeth Bodla, Rama Chellappa:
Deep Regionlets for Object Detection. 827-844
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