collaborators

8 papers

cs.CV2026

iMiGUE-3K: A Large-Scale Benchmark for Micro-Gesture Analysis with Self-Supervised Learning

Chengyan Wang, Haoyu Chen, Hui Wei +3

Emotion understanding is a fundamental challenge in affective computing and artificial intelligence. While existing approaches predominantly focus on facial expressions and speech,…

cs.CV2026

MVRD-Bench: Multi-View Learning and Benchmarking for Dynamic Remote Photoplethysmography under Occlusion

Zuxian He, Xu Cheng, Zhaodong Sun +4

Remote photoplethysmography (rPPG) is a non-contact technique that estimates physiological signals by analyzing subtle skin color changes in facial videos. Existing rPPG methods of…

cs.CV2025

Attentive Convolution: Unifying the Expressivity of Self-Attention with Convolutional Efficiency

Hao Yu, Haoyu Chen, Yan Jiang +4

Self-attention (SA) has become the cornerstone of modern vision backbones for its powerful expressivity over traditional Convolutions (Conv). However, its quadratic complexity rema…

q-bio.QM2025

To Remember, To Adapt, To Preempt: A Stable Continual Test-Time Adaptation Framework for Remote Physiological Measurement in Dynamic Domain Shifts

Shuyang Chu, Jingang Shi, Xu Cheng +4

Remote photoplethysmography (rPPG) aims to extract non-contact physiological signals from facial videos and has shown great potential. However, existing rPPG approaches struggle to…

cs.CV2025

L2RW+: A Comprehensive Benchmark Towards Privacy-Preserved Visible-Infrared Person Re-Identification

Yan Jiang, Hao Yu, Mengting Wei +4

Visible-infrared person re-identification (VI-ReID) is a challenging task that aims to match pedestrian images captured under varying lighting conditions, which has drawn intensive…

cs.CV2025

Hybrid-supervised Hypergraph-enhanced Transformer for Micro-gesture Based Emotion Recognition

Zhaoqiang Xia, Hexiang Huang, Haoyu Chen +2

Micro-gestures are unconsciously performed body gestures that can convey the emotion states of humans and start to attract more research attention in the fields of human behavior u…