collaborators

9 papers

cs.CV2026

PhysAgent: A Multi-Agent Framework for Reliable Remote Heart Rate Estimation

Yehui Yang, Bo Zhao, Junzhe Cao +4

Remote photoplethysmography (rPPG) enables non-contact heart-rate estimation from facial videos, but its weak physiological signal is easily corrupted by motion, illumination chang…

cs.CV2026

Intervention-Based Self-Supervised Learning: A Causal Probe Paradigm for Remote Photoplethysmography

Zhiyi Niu, Xiaoguang Tu, Bo Zhao +3

Remote Photoplethysmography (rPPG) enables convenient non-contact physiological measurement. Existing Self-Supervised Learning (SSL) methods commonly fall into a correlation trap:…

cs.CV2026

SVC 2026: the Second Multimodal Deception Detection Challenge and the First Domain Generalized Remote Physiological Measurement Challenge

Dongliang Zhu, Zhiyi Niu, Bo Zhao +14

Subtle visual signals, although difficult to perceive with the naked eye, contain important information that can reveal hidden patterns in visual data. These signals play a key rol…

cs.CV2026

FreqPhys: Repurposing Implicit Physiological Frequency Prior for Robust Remote Photoplethysmography

Wei Qian, Dan Guo, Jinxing Zhou +3

Remote photoplethysmography (rPPG) enables contactless physiological monitoring by capturing subtle skin-color variations from facial videos. However, most existing methods predomi…

cs.CV2026

PhysNeXt: Next-Generation Dual-Branch Structured Attention Fusion Network for Remote Photoplethysmography Measurement

Junzhe Cao, Bo Zhao, Zhiyi Niu +5

Remote photoplethysmography (rPPG) enables contactless measurement of heart rate and other vital signs by analyzing subtle color variations in facial skin induced by cardiac pulsat…

cs.CV2026

Complementarity-Supervised Spectral-Band Routing for Multimodal Emotion Recognition

Zhexian Huang, Bo Zhao, Hui Ma +5

Multimodal emotion recognition fuses cues such as text, video, and audio to understand individual emotional states. Prior methods face two main limitations: mechanically relying on…