most citedCoMViT: An Efficient Vision Backbone for Supervised Classification in Medical Imaging

1 citations · 1 across the 5 of their papers we have counts for

collaborators

6 papers

cs.CV2026

Edge Deployable Lightweight Framework for Real-Time Driver Safety System with Integrated Lane Departure and Traffic Sign Recognition

Hassaan Ali Qureshi, Danish Hussain, Ali Hassan +5

Lane departure and traffic-sign negligence are leading contributors to road accidents, particularly in regions with non-standardized signage and limited annotated data. Existing Ad…

cs.CV2026

Learning Features, Not Layouts: Feature-Axis Attention as a Transfer Prior for Medical Imaging

Aon Safdar, Mohamed Saadeldin

Natural-image-pretrained foundation models are increasingly adapted to medical imaging, yet transfer remains unreliable under domain shift, modality heterogeneity, and label scarci…

cs.AI2026

Long-Horizon Autonomous Architecture Research with a Language-Model Agent: A Behavioural Case Study

Aon Safdar, Mohamed Saadeldin

We study what happens when a single general-purpose large language model acts as the sole researcher on a long-horizon neural architecture design problem. The agent receives a scie…

cs.CV2026

CAViT -- Channel-Aware Vision Transformer for Dynamic Feature Fusion

Aon Safdar, Mohamed Saadeldin

Vision Transformers (ViTs) have demonstrated strong performance across a range of computer vision tasks by modeling long-range spatial interactions via self-attention. However, cha…

cs.CV2025★ 1 cited

CoMViT: An Efficient Vision Backbone for Supervised Classification in Medical Imaging

Aon Safdar, Mohamed Saadeldin

Vision Transformers (ViTs) have demonstrated strong potential in medical imaging; however, their high computational demands and tendency to overfit on small datasets limit their ap…

cs.CV2025

YOLOatr : Deep Learning Based Automatic Target Detection and Localization in Thermal Infrared Imagery

Aon Safdar, Usman Akram, Waseem Anwar +2

Automatic Target Detection (ATD) and Recognition (ATR) from Thermal Infrared (TI) imagery in the defense and surveillance domain is a challenging computer vision (CV) task in compa…