activity
20192026
most citedGenerative Action Description Prompts for Skeleton-based Action Recognition

9 citations · 29 across the 10 of their papers we have counts for

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Showing 2022Show all

5 papers · 1 filter

cs.CV2022★ 1 cited

Learning Polysemantic Spoof Trace: A Multi-Modal Disentanglement Network for Face Anti-spoofing

Kaicheng Li, Hongyu Yang, Binghui Chen +3

Along with the widespread use of face recognition systems, their vulnerability has become highlighted. While existing face anti-spoofing methods can be generalized between attack t…

cs.CV2022★ 9 cited

Generative Action Description Prompts for Skeleton-based Action Recognition

Wangmeng Xiang, Chao Li, Yuxuan Zhou +2

Skeleton-based action recognition has recently received considerable attention. Current approaches to skeleton-based action recognition are typically formulated as one-hot classifi…

cs.CV2022★ 1 cited

Spatiotemporal Self-attention Modeling with Temporal Patch Shift for Action Recognition

Wangmeng Xiang, Chao Li, Biao Wang +3

Transformer-based methods have recently achieved great advancement on 2D image-based vision tasks. For 3D video-based tasks such as action recognition, however, directly applying s…

cs.CV2022★ 7 cited

SP-ViT: Learning 2D Spatial Priors for Vision Transformers

Yuxuan Zhou, Wangmeng Xiang, Chao Li +5

Recently, transformers have shown great potential in image classification and established state-of-the-art results on the ImageNet benchmark. However, compared to CNNs, transformer…

cs.CV2022★ 5 cited

Dense Learning based Semi-Supervised Object Detection

Binghui Chen, Pengyu Li, Xiang Chen +3

Semi-supervised object detection (SSOD) aims to facilitate the training and deployment of object detectors with the help of a large amount of unlabeled data. Though various self-tr…