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20242026
most citedEfficient Mixture-of-Expert for Video-based Driver State and Physiological Multi-task Estimation in Conditional Autonomous Driving

4 citations · 8 across the 9 of their papers we have counts for

collaborators

11 papers

cs.CV2026

Why Do VLMs Fail at Remote Physiological Measurement? Rethinking with Physiological Grounding and Numerical Alignment

Xiao Yang, Zekun Zhang, Yuxuan Fan +5

Video-based remote physiological measurement (RPM) has broad applications, while Vision-Language Models (VLMs) provide a promising opportunity to enable end-to-end physiological mo…

cs.CV2026

RPM-Distill: Physiology-guided Adaptive Cross-modal Distillation for Robust Remote Physiological Measurement

Jiyao Wang, Qingyong Hu, Duoxun Tang +3

Video-based remote physiological measurement (RPM) is highly accessible but remains fragile under varying illumination, skin tones, and motion. Radio frequency (RF) radar is largel…

cs.CV2025

FedHUG: Federated Heterogeneous Unsupervised Generalization for Remote Physiological Measurements

Xiao Yang, Dengbo He, Jiyao Wang +2

Remote physiological measurement gained wide attention, while it requires collecting users' privacy-sensitive information, and existing contactless measurements still rely on label…

cs.AI2025

PhysDrive: A Multimodal Remote Physiological Measurement Dataset for In-vehicle Driver Monitoring

Jiyao Wang, Xiao Yang, Qingyong Hu +6

Robust and unobtrusive in-vehicle physiological monitoring is crucial for ensuring driving safety and user experience. While remote physiological measurement (RPM) offers a promisi…

eess.IV2025

MedTVT-R1: A Multimodal LLM Empowering Medical Reasoning and Diagnosis

Yuting Zhang, Kaishen Yuan, Hao Lu +3

Accurate and interpretable multi-disease diagnosis remains a critical challenge in medical research, particularly when leveraging heterogeneous multimodal medical data. Current app…

cs.CV2025

Align the GAP: Prior-based Unified Multi-Task Remote Physiological Measurement Framework For Domain Generalization and Personalization

Jiyao Wang, Xiao Yang, Hao Lu +2

Multi-source synsemantic domain generalization (MSSDG) for multi-task remote physiological measurement seeks to enhance the generalizability of these metrics and attracts increasin…

cs.CV2025

Period-LLM: Extending the Periodic Capability of Multimodal Large Language Model

Yuting Zhang, Hao Lu, Qingyong Hu +4

Periodic or quasi-periodic phenomena reveal intrinsic characteristics in various natural processes, such as weather patterns, movement behaviors, traffic flows, and biological sign…

cs.HC2024★ 1 cited

Revisiting Interactions of Multiple Driver States in Heterogenous Population and Cognitive Tasks

Jiyao Wang, Ange Wang, Song Yan +2

In real-world driving scenarios, multiple states occur simultaneously due to individual differences and environmental factors, complicating the analysis and estimation of driver st…

cs.CV2024★ 4 cited

Efficient Mixture-of-Expert for Video-based Driver State and Physiological Multi-task Estimation in Conditional Autonomous Driving

Jiyao Wang, Xiao Yang, Zhenyu Wang +4

Road safety remains a critical challenge worldwide, with approximately 1.35 million fatalities annually attributed to traffic accidents, often due to human errors. As we advance to…

cs.CV2024

PhysMLE: Generalizable and Priors-Inclusive Multi-task Remote Physiological Measurement

Jiyao Wang, Hao Lu, Ange Wang +4

Remote photoplethysmography (rPPG) has been widely applied to measure heart rate from face videos. To increase the generalizability of the algorithms, domain generalization (DG) at…

cs.CV2024★ 3 cited

Advancing Generalizable Remote Physiological Measurement through the Integration of Explicit and Implicit Prior Knowledge

Yuting Zhang, Hao Lu, Xin Liu +2

Remote photoplethysmography (rPPG) is a promising technology that captures physiological signals from face videos, with potential applications in medical health, emotional computin…