activity
20222025
most citedSelf-adversarial Multi-scale Contrastive Learning for Semantic Segmentation of Thermal Facial Images

4 citations · 9 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV2025

Efficient and Robust Multidimensional Attention in Remote Physiological Sensing through Target Signal Constrained Factorization

Jitesh Joshi, Youngjun Cho

Remote physiological sensing using camera-based technologies offers transformative potential for non-invasive vital sign monitoring across healthcare and human-computer interaction…

cs.CV2024★ 4 cited

FactorizePhys: Matrix Factorization for Multidimensional Attention in Remote Physiological Sensing

Jitesh Joshi, Sos S. Agaian, Youngjun Cho

Remote photoplethysmography (rPPG) enables non-invasive extraction of blood volume pulse signals through imaging, transforming spatial-temporal data into time series signals. Advan…

cs.HC2023

PulmoBell: Home-based Pulmonary Rehabilitation Assistive Technology for People with COPD

Yuanxiang Ma, Andreas Polydorides, Jitesh Joshi +1

Chronic Obstructive Pulmonary Disease (COPD) can be fatal and is challenging to live with due to its severe symptoms. Pulmonary rehabilitation (PR) is one of the managements means…

cs.CV2023★ 1 cited

Multi-Modal Hybrid Learning and Sequential Training for RGB-T Saliency Detection

Guangyu Ren, Jitesh Joshi, Youngjun Cho

RGB-T saliency detection has emerged as an important computer vision task, identifying conspicuous objects in challenging scenes such as dark environments. However, existing method…

cs.HC2023

PhysioKit: Open-source, Low-cost Physiological Computing Toolkit for Single and Multi-user Studies

Jitesh Joshi, Katherine Wang, Youngjun Cho

The proliferation of physiological sensors opens new opportunities to explore interactions, conduct experiments and evaluate the user experience with continuous monitoring of bodil…

cs.CV2022★ 4 cited

Self-adversarial Multi-scale Contrastive Learning for Semantic Segmentation of Thermal Facial Images

Jitesh Joshi, Nadia Bianchi-Berthouze, Youngjun Cho

Segmentation of thermal facial images is a challenging task. This is because facial features often lack salience due to high-dynamic thermal range scenes and occlusion issues. Limi…