activity
20202026
most citedContrast-Phys: Unsupervised Video-based Remote Physiological Measurement via Spatiotemporal Contrast

106 citations · 226 across the 10 of their papers we have counts for

collaborators

10 papers

cs.CV2026

MVRD-Bench: Multi-View Learning and Benchmarking for Dynamic Remote Photoplethysmography under Occlusion

Zuxian He, Xu Cheng, Zhaodong Sun +4

Remote photoplethysmography (rPPG) is a non-contact technique that estimates physiological signals by analyzing subtle skin color changes in facial videos. Existing rPPG methods of…

cs.CV2025

Radar-APLANC: Unsupervised Radar-based Heartbeat Sensing via Augmented Pseudo-Label and Noise Contrast

Ying Wang, Zhaodong Sun, Xu Cheng +2

Frequency Modulated Continuous Wave (FMCW) radars can measure subtle chest wall oscillations to enable non-contact heartbeat sensing. However, traditional radar-based heartbeat sen…

cs.CV2025

Attentive Convolution: Unifying the Expressivity of Self-Attention with Convolutional Efficiency

Hao Yu, Haoyu Chen, Yan Jiang +4

Self-attention (SA) has become the cornerstone of modern vision backbones for its powerful expressivity over traditional Convolutions (Conv). However, its quadratic complexity rema…

cs.CV2025

From Laboratory to Real World: A New Benchmark Towards Privacy-Preserved Visible-Infrared Person Re-Identification

Yan Jiang, Hao Yu, Mengting Wei +4

Aiming to match pedestrian images captured under varying lighting conditions, visible-infrared person re-identification (VI-ReID) has drawn intensive research attention and achieve…

cs.CV2024★ 7 cited

Biometric Authentication Based on Enhanced Remote Photoplethysmography Signal Morphology

Zhaodong Sun, Xiaobai Li, Jukka Komulainen +1

Remote photoplethysmography (rPPG) is a non-contact method for measuring cardiac signals from facial videos, offering a convenient alternative to contact photoplethysmography (cPPG…

cs.CV2024

Analyzing Participants' Engagement during Online Meetings Using Unsupervised Remote Photoplethysmography with Behavioral Features

Alexander Vedernikov, Zhaodong Sun, Virpi-Liisa Kykyri +3

Engagement measurement finds application in healthcare, education, services. The use of physiological and behavioral features is viable, but the impracticality of traditional physi…

cs.CV2023★ 62 cited

Contrast-Phys+: Unsupervised and Weakly-supervised Video-based Remote Physiological Measurement via Spatiotemporal Contrast

Zhaodong Sun, Xiaobai Li

Video-based remote physiological measurement utilizes facial videos to measure the blood volume change signal, which is also called remote photoplethysmography (rPPG). Supervised m…

cs.CV2022★ 106 cited

Contrast-Phys: Unsupervised Video-based Remote Physiological Measurement via Spatiotemporal Contrast

Zhaodong Sun, Xiaobai Li

Video-based remote physiological measurement utilizes face videos to measure the blood volume change signal, which is also called remote photoplethysmography (rPPG). Supervised met…

eess.IV2021★ 21 cited

Non-contact Atrial Fibrillation Detection from Face Videos by Learning Systolic Peaks

Zhaodong Sun, Juhani Junttila, Mikko Tulppo +2

Objective: We propose a non-contact approach for atrial fibrillation (AF) detection from face videos. Methods: Face videos, electrocardiography (ECG), and contact photoplethysmogra…

eess.IV2020★ 30 cited

Solving Inverse Problems with Hybrid Deep Image Priors: the challenge of preventing overfitting

Zhaodong Sun, Thomas Sanchez, Fabian Latorre +1

We mainly analyze and solve the overfitting problem of deep image prior (DIP). Deep image prior can solve inverse problems such as super-resolution, inpainting and denoising. The m…