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ORCIDACCV 2020: Kyoto, Japan
- Hiroshi Ishikawa, Cheng-Lin Liu, Tomás Pajdla, Jianbo Shi:
Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30 - December 4, 2020, Revised Selected Papers, Part V. Lecture Notes in Computer Science 12626, Springer 2021, ISBN 978-3-030-69540-8
Face, Pose, Action, and Gesture
- Mohammad Asiful Hossain, Kevin Cannons, Daesik Jang, Fabio Cuzzolin, Zhan Xu:
Video-Based Crowd Counting Using a Multi-scale Optical Flow Pyramid Network. 3-20 - Yan Yang
, Md. Zakir Hossain, Tom Gedeon, Shafin Rahman:
RealSmileNet: A Deep End-to-End Network for Spontaneous and Posed Smile Recognition. 21-37 - Lei Shi, Yifan Zhang, Jian Cheng, Hanqing Lu:
Decoupled Spatial-Temporal Attention Network for Skeleton-Based Action-Gesture Recognition. 38-53 - Bin Xia, Shangfei Wang:
Unpaired Multimodal Facial Expression Recognition. 54-69 - Yilin Xiong, Zijian Zhou, Yuhao Dou, Zhizhong Su:
Gaussian Vector: An Efficient Solution for Facial Landmark Detection. 70-87 - Yiming Xu, Jiaxin Li, Yan Ding, Hua-Liang Wei:
A Global to Local Double Embedding Method for Multi-person Pose Estimation. 88-103 - Enrique Sanchez, Adrian Bulat, Anestis Zaganidis, Georgios Tzimiropoulos:
Semi-supervised Facial Action Unit Intensity Estimation with Contrastive Learning. 104-120 - Jian Han, Theo Gevers:
MMD Based Discriminative Learning for Face Forgery Detection. 121-136 - Huiyuan Yang, Lijun Yin:
RE-Net: A Relation Embedded Deep Model for AU Occurrence and Intensity Estimation. 137-153 - Pengpeng Liu, Xintong Han, Michael R. Lyu, Irwin King, Jia Xu:
Learning 3D Face Reconstruction with a Pose Guidance Network. 154-169 - Simon Jenni, Paolo Favaro:
Self-supervised Multi-view Synchronization Learning for 3D Pose Estimation. 170-187 - Shiyang Cheng, Georgios Tzimiropoulos, Jie Shen, Maja Pantic:
Faster, Better and More Detailed: 3D Face Reconstruction with Graph Convolutional Networks. 188-205 - Chengyao Zheng, Siyu Xia, Joseph P. Robinson, Changsheng Lu, Wayne Wu, Chen Qian, Ming Shao:
Localin Reshuffle Net: Toward Naturally and Efficiently Facial Image Blending. 206-222 - Ardhendu Behera, Zachary Wharton, Pradeep Hewage, Swagat Kumar:
Rotation Axis Focused Attention Network (RAFA-Net) for Estimating Head Pose. 223-240 - Lê Minh Ngô, Christian aan de Wiel, Sezer Karaoglu, Theo Gevers:
Unified Application of Style Transfer for Face Swapping and Reenactment. 241-257 - Kaili Wang, José Oramas M., Tinne Tuytelaars:
Multiple Exemplars-Based Hallucination for Face Super-Resolution and Editing. 258-273 - Hao Zhu, Yang Yuan, Guosheng Hu, Xiang Wu, Neil Martin Robertson:
Imbalance Robust Softmax for Deep Embeeding Learning. 274-291 - Zidong Guo, Zejian Yuan, Chong Zhang, Wanchao Chi, Yonggen Ling, Shenghao Zhang:
Domain Adaptation Gaze Estimation by Embedding with Prediction Consistency. 292-307 - Miao Liao, Sibo Zhang, Peng Wang, Hao Zhu, Xinxin Zuo, Ruigang Yang:
Speech2Video Synthesis with 3D Skeleton Regularization and Expressive Body Poses. 308-323 - Zhengyi Luo, S. Alireza Golestaneh, Kris M. Kitani:
3D Human Motion Estimation via Motion Compression and Refinement. 324-340 - Katsutoshi Shiraki, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi:
Spatial Temporal Attention Graph Convolutional Networks with Mechanics-Stream for Skeleton-Based Action Recognition. 341-357 - Insoo Kim, Seungju Han, Seong-Jin Park, Ji-Won Baek, Jinwoo Shin, Jae-Joon Han, Changkyu Choi:
DiscFace: Minimum Discrepancy Learning for Deep Face Recognition. 358-374 - Viresh Ranjan, Boyu Wang, Mubarak Shah, Minh Hoai:
Uncertainty Estimation and Sample Selection for Crowd Counting. 375-391 - Yun-Yun Tsou, Yi-An Lee, Chiou-Ting Hsu:
Multi-task Learning for Simultaneous Video Generation and Remote Photoplethysmography Estimation. 392-407
Video Analysis and Event Recognition
- Joonatan Mänttäri, Sofia Broomé, John Folkesson, Hedvig Kjellström:
Interpreting Video Features: A Comparison of 3D Convolutional Networks and Convolutional LSTM Networks. 411-426 - Tong Yu, Nicolas Padoy:
Encode the Unseen: Predictive Video Hashing for Scalable Mid-stream Retrieval. 427-442 - David M. Chan, Sudheendra Vijayanarasimhan, David A. Ross, John F. Canny:
Active Learning for Video Description with Cluster-Regularized Ensemble Ranking. 443-459 - Max Bain, Arsha Nagrani, Andrew Brown, Andrew Zisserman:
Condensed Movies: Story Based Retrieval with Contextual Embeddings. 460-479 - Will Price, Dima Damen:
Play Fair: Frame Attributions in Video Models. 480-497 - Yen-Ting Liu, Yu-Jhe Li, Yu-Chiang Frank Wang:
Transforming Multi-concept Attention into Video Summarization. 498-513 - Jaeyoo Park, Junha Kim, Bohyung Han:
Learning to Adapt to Unseen Abnormal Activities Under Weak Supervision. 514-529 - Shuming Liu, Xu Zhao, Haisheng Su, Zhilan Hu:
TSI: Temporal Scale Invariant Network for Action Proposal Generation. 530-546 - Sovan Biswas, Juergen Gall:
Discovering Multi-label Actor-Action Association in a Weakly Supervised Setting. 547-561 - Xinglin Piao, Yongli Hu, Junbin Gao, Yanfeng Sun, Xin Yang, Baocai Yin:
Reweighted Non-convex Non-smooth Rank Minimization Based Spectral Clustering on Grassmann Manifold. 562-577
Biomedical Image Analysis
- Takuma Doi, Fumio Okura, Toshiki Nagahara, Yasuyuki Matsushita, Yasushi Yagi:
Descriptor-Free Multi-view Region Matching for Instance-Wise 3D Reconstruction. 581-599 - Preethi Srinivasan, Daksh Thapar, Arnav Bhavsar, Aditya Nigam:
Hierarchical X-Ray Report Generation via Pathology Tags and Multi Head Attention. 600-616 - Constantin Seibold, Jens Kleesiek, Heinz-Peter Schlemmer, Rainer Stiefelhagen:
Self-guided Multiple Instance Learning for Weakly Supervised Disease Classification and Localization in Chest Radiographs. 617-634 - Van Luan Tran, Huei-Yung Lin, Hsiao-Wei Liu:
MBNet: A Multi-task Deep Neural Network for Semantic Segmentation and Lumbar Vertebra Inspection on X-Ray Images. 635-651 - Weining Wang, Peirong Guo, Lemin Li, Yan Tan, Hongxia Shi, Yan Wei, Xiangmin Xu:
Attention-Based Fine-Grained Classification of Bone Marrow Cells. 652-668 - Julien Schroeter, Tinne Tuytelaars, Kirill A. Sidorov, A. David Marshall:
Learning Multi-instance Sub-pixel Point Localization. 669-686 - Abdullah Sarhan, Ali Al-KhazÁly, Adam Gorner, Andrew Swift, Jon G. Rokne, Reda Alhajj, Andrew Crichton:
Utilizing Transfer Learning and a Customized Loss Function for Optic Disc Segmentation from Retinal Images. 687-703
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