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ORCID17th ECCV 2022: Tel Aviv, Israel - Volume 4
- Shai Avidan, Gabriel J. Brostow
, Moustapha Cissé, Giovanni Maria Farinella, Tal Hassner:
Computer Vision - ECCV 2022 - 17th European Conference, Tel Aviv, Israel, October 23-27, 2022, Proceedings, Part IV. Lecture Notes in Computer Science 13664, Springer 2022, ISBN 978-3-031-19771-0 - Bolin Ni, Houwen Peng, Minghao Chen, Songyang Zhang, Gaofeng Meng, Jianlong Fu, Shiming Xiang, Haibin Ling:
Expanding Language-Image Pretrained Models for General Video Recognition. 1-18 - Masato Tamura, Rahul Vishwakarma, Ravigopal Vennelakanti:
Hunting Group Clues with Transformers for Social Group Activity Recognition. 19-35 - Haoyuan Zhang, Yonghong Hou, Wenjing Zhang, Wanqing Li:
Contrastive Positive Mining for Unsupervised 3D Action Representation Learning. 36-51 - Zhibo Yang, Sounak Mondal, Seoyoung Ahn, Gregory J. Zelinsky, Minh Hoai, Dimitris Samaras:
Target-Absent Human Attention. 52-68 - Hongji Guo, Zhou Ren, Yi Wu, Gang Hua, Qiang Ji:
Uncertainty-Based Spatial-Temporal Attention for Online Action Detection. 69-86 - Danyang Tu, Xiongkuo Min, Huiyu Duan, Guodong Guo, Guangtao Zhai, Wei Shen:
Iwin: Human-Object Interaction Detection via Transformer with Irregular Windows. 87-103 - Yijun Qian, Lijun Yu, Wenhe Liu, Alexander G. Hauptmann:
Rethinking Zero-shot Action Recognition: Learning from Latent Atomic Actions. 104-120 - Xiaoqian Wu, Yong-Lu Li, Xinpeng Liu, Junyi Zhang, Yuzhe Wu, Cewu Lu:
Mining Cross-Person Cues for Body-Part Interactiveness Learning in HOI Detection. 121-136 - Qinying Liu, Zilei Wang:
Collaborating Domain-Shared and Target-Specific Feature Clustering for Cross-domain 3D Action Recognition. 137-155 - Filip Ilic, Thomas Pock, Richard P. Wildes:
Is Appearance Free Action Recognition Possible? 156-173 - Ning Ma, Hongyi Zhang, Xuhui Li, Sheng Zhou, Zhen Zhang, Jun Wen, Haifeng Li, Jingjun Gu, Jiajun Bu:
Learning Spatial-Preserved Skeleton Representations for Few-Shot Action Recognition. 174-191 - Mengyuan Chen, Junyu Gao, Shicai Yang, Changsheng Xu:
Dual-Evidential Learning for Weakly-supervised Temporal Action Localization. 192-208 - Boeun Kim, Hyung Jin Chang, Jungho Kim, Jin Young Choi:
Global-Local Motion Transformer for Unsupervised Skeleton-Based Action Learning. 209-225 - Yulin Wang, Yang Yue, Xinhong Xu, Ali Hassani, Victor Kulikov, Nikita Orlov, Shiji Song, Humphrey Shi, Gao Huang:
AdaFocusV3: On Unified Spatial-Temporal Dynamic Video Recognition. 226-243 - Ruize Han, Haomin Yan, Jiacheng Li, Song Wang, Wei Feng:
Panoramic Human Activity Recognition. 244-261 - Shuxian Liang, Xu Shen, Jianqiang Huang, Xian-Sheng Hua:
Delving into Details: Synopsis-to-Detail Networks for Video Recognition. 262-278 - Rahul Rahaman, Dipika Singhania, Alexandre H. Thiery, Angela Yao:
A Generalized and Robust Framework for Timestamp Supervision in Temporal Action Segmentation. 279-296 - Sipeng Zheng, Shizhe Chen, Qin Jin:
Few-Shot Action Recognition with Hierarchical Matching and Contrastive Learning. 297-313 - Carlos Hinojosa, Miguel Marquez, Henry Arguello, Ehsan Adeli, Li Fei-Fei, Juan Carlos Niebles:
PrivHAR: Recognizing Human Actions from Privacy-Preserving Lens. 314-332 - Guoqiu Li, Guanxiong Cai, Xingyu Zeng, Rui Zhao:
Scale-Aware Spatio-Temporal Relation Learning for Video Anomaly Detection. 333-350 - Yifei Huang, Lijin Yang, Yoichi Sato:
Compound Prototype Matching for Few-Shot Action Recognition. 351-368 - Lukas Hedegaard, Alexandros Iosifidis:
Continual 3D Convolutional Neural Networks for Real-time Processing of Videos. 369-385 - Tianjiao Li, Lin Geng Foo, Qiuhong Ke, Hossein Rahmani, Anran Wang, Jinghua Wang, Jun Liu:
Dynamic Spatio-Temporal Specialization Learning for Fine-Grained Action Recognition. 386-403 - Zhiwei Yang, Peng Wu, Jing Liu, Xiaotao Liu:
Dynamic Local Aggregation Network with Adaptive Clusterer for Anomaly Detection. 404-421 - Yang Bai, Desen Zhou, Songyang Zhang, Jian Wang, Errui Ding, Yu Guan, Yang Long, Jingdong Wang:
Action Quality Assessment with Temporal Parsing Transformer. 422-438 - Bo Hu, Tat-Jen Cham:
Entry-Flipped Transformer for Inference and Prediction of Participant Behavior. 439-456 - Mingzhe Li, Hongbo Zhang, Qing Lei, Zongwen Fan, Jinghua Liu, Ji-Xiang Du:
Pairwise Contrastive Learning Network for Action Quality Assessment. 457-473 - Tanqiu Qiao, Qianhui Men, Frederick W. B. Li, Yoshiki Kubotani, Shigeo Morishima, Hubert P. H. Shum:
Geometric Features Informed Multi-person Human-Object Interaction Recognition in Videos. 474-491 - Chen-Lin Zhang, Jianxin Wu, Yin Li:
ActionFormer: Localizing Moments of Actions with Transformers. 492-510 - Pei Xu, Jean-Bernard Hayet, Ioannis Karamouzas:
SocialVAE: Human Trajectory Prediction Using Timewise Latents. 511-528 - Zhaoyu Chen, Bo Li, Shuang Wu, Jianghe Xu, Shouhong Ding, Wenqiang Zhang:
Shape Matters: Deformable Patch Attack. 529-548 - Yuyang Long, Qilong Zhang, Boheng Zeng, Lianli Gao, Xianglong Liu, Jian Zhang, Jingkuan Song:
Frequency Domain Model Augmentation for Adversarial Attack. 549-566 - Xiaojun Jia, Yong Zhang, Xingxing Wei, Baoyuan Wu, Ke Ma, Jue Wang, Xiaochun Cao:
Prior-Guided Adversarial Initialization for Fast Adversarial Training. 567-584 - Shiji Zhao, Jie Yu, Zhenlong Sun, Bo Zhang, Xingxing Wei:
Enhanced Accuracy and Robustness via Multi-teacher Adversarial Distillation. 585-602 - Martin Gubri, Maxime Cordy, Mike Papadakis, Yves Le Traon, Koushik Sen:
LGV: Boosting Adversarial Example Transferability from Large Geometric Vicinity. 603-618 - Siyuan Liang, Longkang Li, Yanbo Fan, Xiaojun Jia, Jingzhi Li, Baoyuan Wu, Xiaochun Cao:
A Large-Scale Multiple-objective Method for Black-box Attack Against Object Detection. 619-636 - Jianhong Pan, Qichen Zheng, Zhipeng Fan, Hossein Rahmani, Qiuhong Ke, Jun Liu:
GradAuto: Energy-Oriented Attack on Dynamic Neural Networks. 637-653 - Jiachen Sun, Akshay Mehra, Bhavya Kailkhura, Pin-Yu Chen, Dan Hendrycks, Jihun Hamm, Z. Morley Mao:
A Spectral View of Randomized Smoothing Under Common Corruptions: Benchmarking and Improving Certified Robustness. 654-671 - Guanlin Li, Guowen Xu, Han Qiu, Ruan He, Jiwei Li, Tianwei Zhang:
Improving Adversarial Robustness of 3D Point Cloud Classification Models. 672-689 - Xian Wei, Yangyu Xu, Yanhui Huang, Hairong Lv, Hai Lan, Mingsong Chen, Xuan Tang:
Learning Extremely Lightweight and Robust Model with Differentiable Constraints on Sparsity and Condition Number. 690-707 - Huy Phan, Cong Shi, Yi Xie, Tianfang Zhang, Zhuohang Li, Tianming Zhao, Jian Liu, Yan Wang, Yingying Chen, Bo Yuan:
RIBAC: Towards Robust and Imperceptible Backdoor Attack against Compact DNN. 708-724 - Xiao Yang, Yinpeng Dong, Tianyu Pang, Hang Su, Jun Zhu:
Boosting Transferability of Targeted Adversarial Examples via Hierarchical Generative Networks. 725-742
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