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most citedModeling Battery Electric Vehicle Users' Charging Decisions in Scenarios with Both Time-Related and Distance-Related Anxiety

1 citations · 2 across the 15 of their papers we have counts for

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cs.CV2025

FedHUG: Federated Heterogeneous Unsupervised Generalization for Remote Physiological Measurements

Xiao Yang, Dengbo He, Jiyao Wang +1

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

cs.CV2025

Not Only Consistency: Enhance Test-Time Adaptation with Spatio-temporal Inconsistency for Remote Physiological Measurement

Xiao Yang, Jiyao Wang, Yuxuan Fan +6

Remote physiological measurement (RPM) has emerged as a promising non-invasive method for monitoring physiological signals using the non-contact device. Although various domain ada…

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.CV2024

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

GPT as Psychologist? Preliminary Evaluations for GPT-4V on Visual Affective Computing

Hao Lu, Xuesong Niu, Jiyao Wang +12

Multimodal large language models (MLLMs) are designed to process and integrate information from multiple sources, such as text, speech, images, and videos. Despite its success in l…