每日Paper进步屋
视频理解 视频理解
2022-08-26 更新Identifying Auxiliary or Adversarial Tasks Using Necessary Condition Analysis for Adversarial Multi-task
2022-08-26
视频理解 视频理解
2022-08-04 更新Two-Stream Transformer Architecture for Long Video UnderstandingAuthors:Edward Fish, Jon Weinbren, Andrew G
2022-08-04
视频理解 视频理解
2022-08-02 更新Point Primitive Transformer for Long-Term 4D Point Cloud Video UnderstandingAuthors:Hao Wen, Yunze Liu, J
2022-08-02
视频理解 视频理解
2022-07-29 更新Video Swin Transformers for Egocentric Video Understanding @ Ego4D Challenges 2022Authors:Maria Escobar,
2022-07-29
视频理解 视频理解
2022-07-26 更新Egocentric scene context for human-centric environment understanding from videoAuthors:Tushar Nagarajan,
2022-07-26
视频理解 视频理解
2022-07-21 更新GraphVid: It Only Takes a Few Nodes to Understand a VideoAuthors:Eitan Kosman, Dotan Di Castro We propose
2022-07-21
视频理解 视频理解
2022-07-19 更新Prompting Visual-Language Models for Efficient Video UnderstandingAuthors:Chen Ju, Tengda Han, Kunhao Zheng
2022-07-19
视频理解 视频理解
2022-07-07 更新STVGFormer: Spatio-Temporal Video Grounding with Static-Dynamic Cross-Modal UnderstandingAuthors:Zihang L
2022-07-07
视频理解 视频理解
2022-07-06 更新Federated Self-supervised Learning for Video UnderstandingAuthors:Yasar Abbas Ur Rehman, Yan Gao, Jiajun Sh
2022-07-06
视频理解 视频理解
2022-06-25 更新LAVENDER: Unifying Video-Language Understanding as Masked Language ModelingAuthors:Linjie Li, Zhe Gan, Ke
2022-06-25
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