Abstract: Object detection in event streams has emerged as a cutting-edge research area, demonstrating superior performance in low-light conditions, scenarios with motion blur, and rapid movements.

DEIMv2 is an evolution of the DEIM framework while leveraging the rich features from DINOv3. Our method is designed with various model sizes, from an ultra-light version up to S, M, L, and X, to be ...

A real-time face recognition-based attendance system built with Flask, OpenCV, and face_recognition. This project enables automatic attendance marking, user management, live monitoring, and ...

Bridging communication gaps between hearing and hearing-impaired individuals is an important challenge in assistive technology and inclusive education. In an attempt to close that gap, I developed a ...

Abstract: Object measurement in images is crucial in computer vision, with applications in industrial automation, quality control, and medical imaging. Traditional manual methods are inefficient and ...