activity
20202026
most citedMotion and Region Aware Adversarial Learning for Fall Detection with Thermal Imaging

30 citations · 63 across the 19 of their papers we have counts for

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13 papers · 1 filter

cs.CV2025

OPEN: A Benchmark Dataset and Baseline for Older Adult Patient Engagement Recognition in Virtual Rehabilitation Learning Environments

Ali Abedi, Sadaf Safa, Tracey J. F. Colella +1

Engagement in virtual learning is essential for participant satisfaction, performance, and adherence, particularly in online education and virtual rehabilitation, where interactive…

cs.CV2025

ChestGPT: Integrating Large Language Models and Vision Transformers for Disease Detection and Localization in Chest X-Rays

Shehroz S. Khan, Petar Przulj, Ahmed Ashraf +1

The global demand for radiologists is increasing rapidly due to a growing reliance on medical imaging services, while the supply of radiologists is not keeping pace. Advances in co…

cs.CV2025

Supervised Contrastive Learning for Ordinal Engagement Measurement

Sadaf Safa, Ali Abedi, Shehroz S. Khan

Student engagement plays a crucial role in the successful delivery of educational programs. Automated engagement measurement helps instructors monitor student participation, identi…

cs.CV2025

Rehabilitation Exercise Quality Assessment and Feedback Generation Using Large Language Models with Prompt Engineering

Jessica Tang, Ali Abedi, Tracey J. F. Colella +1

Exercise-based rehabilitation improves quality of life and reduces morbidity, mortality, and rehospitalization, though transportation constraints and staff shortages lead to high d…

cs.CV2024★ 1 cited

Engagement Measurement Based on Facial Landmarks and Spatial-Temporal Graph Convolutional Networks

Ali Abedi, Shehroz S. Khan

Engagement in virtual learning is crucial for a variety of factors including student satisfaction, performance, and compliance with learning programs, but measuring it is a challen…

cs.CV2023

Cross-Modal Video to Body-joints Augmentation for Rehabilitation Exercise Quality Assessment

Ali Abedi, Mobin Malmirian, Shehroz S. Khan

Exercise-based rehabilitation programs have been shown to enhance quality of life and reduce mortality and rehospitalizations. AI-driven virtual rehabilitation programs enable pati…

cs.CV2023★ 2 cited

Rehabilitation Exercise Repetition Segmentation and Counting using Skeletal Body Joints

Ali Abedi, Paritosh Bisht, Riddhi Chatterjee +4

Physical exercise is an essential component of rehabilitation programs that improve quality of life and reduce mortality and re-hospitalization rates. In AI-driven virtual rehabili…

cs.CV2022★ 2 cited

Step Counting with Attention-based LSTM

Shehroz S. Khan, Ali Abedi

Physical activity is recognized as an essential component of overall health. One measure of physical activity, the step count, is well known as a predictor of long-term morbidity a…

cs.CV2022★ 3 cited

Detecting Disengagement in Virtual Learning as an Anomaly using Temporal Convolutional Network Autoencoder

Ali Abedi, Shehroz S. Khan

Student engagement is an important factor in meeting the goals of virtual learning programs. Automatic measurement of student engagement provides helpful information for instructor…

cs.CV2021

Supervised Contrastive Learning for Detecting Anomalous Driving Behaviours from Multimodal Videos

Shehroz S. Khan, Ziting Shen, Haoying Sun +2

Distracted driving is one of the major reasons for vehicle accidents. Therefore, detecting distracted driving behaviors is of paramount importance to reduce the millions of deaths…

cs.CV2021★ 3 cited

Affect-driven Ordinal Engagement Measurement from Video

Ali Abedi, Shehroz Khan

In education and intervention programs, user engagement has been identified as a major factor in successful program completion. Automatic measurement of user engagement provides he…

cs.CV2021

Improving state-of-the-art in Detecting Student Engagement with Resnet and TCN Hybrid Network

Ali Abedi, Shehroz S. Khan

Automatic detection of students' engagement in online learning settings is a key element to improve the quality of learning and to deliver personalized learning materials to them.…

cs.CV2020★ 30 cited

Motion and Region Aware Adversarial Learning for Fall Detection with Thermal Imaging

Vineet Mehta, Abhinav Dhall, Sujata Pal +1

Automatic fall detection is a vital technology for ensuring the health and safety of people. Home-based camera systems for fall detection often put people's privacy at risk. Therma…