3 papers
cs.CV2026
A Multi-Modal Framework with Cross-Subject Pseudo-Labeling and Semantic Alignment for Micro-Gesture Recognition
Haoran Zhang, Haokun Zhang, Pengyu Liu +3
Micro-gestures (MGs) are spontaneous and subtle body movements that frequently convey hidden human emotions. Recognizing MGs in untrimmed videos remains highly challenging due to t…
cs.CV2026
Motion Reinforces Appearance: RGB-Skeleton Gated Residual Fusion for Micro-Gesture Online Recognition
Jialin Liu, Xinwen He, Pengyu Liu +3
Micro-gesture analysis attracts increasing attention for inferring spontaneous emotion from subtle body movements. Micro-gesture online recognition, which localizes and classifies…
cs.CV2026
TKN: Transformer-based Keypoint Prediction Network For Real-time Video Prediction
Haoran Li, XiaoLu Li, Yihang Lin +4
Video prediction is a complex time-series forecasting task with great potential in many use cases. However, traditional methods prioritize accuracy and overlook slow prediction spe…