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cs.CV2026

FLOW: Feature-Level Optimal Warping for Generalized Remote Physiological Measurement

Bo Zhao, Junzhe Cao, Dan Guo +5

Remote photoplethysmography (rPPG) enables non-contact physiological measurement but remains vulnerable to domain shifts from illumination, motion, and sensors. We propose \textbf{…

cs.CV2026

MoGen: A Unified Collaborative Framework for Controllable Multi-Object Image Generation

Yanfeng Li, Yue Sun, Keren Fu +5

Existing multi-object image generation methods face difficulties in achieving precise alignment between localized image generation regions and their corresponding semantics based o…

cs.CV2025

SUGAR: Learning Skeleton Representation with Visual-Motion Knowledge for Action Recognition

Qilang Ye, Yu Zhou, Lian He +10

Large Language Models (LLMs) hold rich implicit knowledge and powerful transferability. In this paper, we explore the combination of LLMs with the human skeleton to perform action…

cs.CV2025

PHASE-Net: Physics-Grounded Harmonic Attention System for Efficient Remote Photoplethysmography Measurement

Bo Zhao, Dan Guo, Junzhe Cao +5

Remote photoplethysmography (rPPG) measurement enables non-contact physiological monitoring but suffers from accuracy degradation under head motion and illumination changes. Existi…

cs.CV2025

PhysLLM: Harnessing Large Language Models for Cross-Modal Remote Physiological Sensing

Yiping Xie, Bo Zhao, Mingtong Dai +6

Remote photoplethysmography (rPPG) enables non-contact physiological measurement but remains highly susceptible to illumination changes, motion artifacts, and limited temporal mode…