10 papers
GFD-OPD: Guidance-Folded On-Policy Distillation of Diffusion Models Across Scales
Zhenxing Zhang, Jiayan Teng, Wenxu Wu +6
On-policy distillation (OPD) has demonstrated two important capabilities in language models: compressing large teachers into smaller students and merging expert models into a singl…
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{…
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:…
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…
From 2D to 3D Without Extra Baggage: Data-Efficient Cancer Detection in Digital Breast Tomosynthesis
Yen Nhi Truong Vu, Dan Guo, Sripad Joshi +3
Digital Breast Tomosynthesis (DBT) enhances finding visibility for breast cancer detection by providing volumetric information that reduces the impact of overlapping tissues; howev…
Kaleido: Open-Sourced Multi-Subject Reference Video Generation Model
Zhenxing Zhang, Jiayan Teng, Zhuoyi Yang +6
We present Kaleido, a subject-to-video~(S2V) generation framework, which aims to synthesize subject-consistent videos conditioned on multiple reference images of target subjects. D…
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…
Motion is the Choreographer: Learning Latent Pose Dynamics for Seamless Sign Language Generation
Jiayi He, Xu Wang, Shengeng Tang +3
Sign language video generation requires producing natural signing motions with realistic appearances under precise semantic control, yet faces two critical challenges: excessive si…
Text2Lip: Progressive Lip-Synced Talking Face Generation from Text via Viseme-Guided Rendering
Xu Wang, Shengeng Tang, Fei Wang +4
Generating semantically coherent and visually accurate talking faces requires bridging the gap between linguistic meaning and facial articulation. Although audio-driven methods rem…
Discrete to Continuous: Generating Smooth Transition Poses from Sign Language Observation
Shengeng Tang, Jiayi He, Lechao Cheng +3
Generating continuous sign language videos from discrete segments is challenging due to the need for smooth transitions that preserve natural flow and meaning. Traditional approach…