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20212025
most citedNon-contact Atrial Fibrillation Detection from Face Videos by Learning Systolic Peaks

21 citations · 22 across the 5 of their papers we have counts for

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5 papers

cs.CV2025

A Dual-Domain Convolutional Network for Hyperspectral Single-Image Super-Resolution

Murat Karayaka, Usman Muhammad, Jorma Laaksonen +2

This study presents a lightweight dual-domain super-resolution network (DDSRNet) that combines Spatial-Net with the discrete wavelet transform (DWT). Specifically, our proposed mod…

cs.CV2025

Vision Large Language Models Are Good Noise Handlers in Engagement Analysis

Alexander Vedernikov, Puneet Kumar, Haoyu Chen +2

Engagement recognition in video datasets, unlike traditional image classification tasks, is particularly challenged by subjective labels and noise limiting model performance. To ov…

cs.CV2025

CodePhys: Robust Video-based Remote Physiological Measurement through Latent Codebook Querying

Shuyang Chu, Menghan Xia, Mengyao Yuan +4

Remote photoplethysmography (rPPG) aims to measure non-contact physiological signals from facial videos, which has shown great potential in many applications. Most existing methods…

cs.CV2024★ 1 cited

TCCT-Net: Two-Stream Network Architecture for Fast and Efficient Engagement Estimation via Behavioral Feature Signals

Alexander Vedernikov, Puneet Kumar, Haoyu Chen +2

Engagement analysis finds various applications in healthcare, education, advertisement, services. Deep Neural Networks, used for analysis, possess complex architecture and need lar…

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…