13 papers
AdaFuse-Det: Adaptive Cross-Modal Fusion of Event Cameras for Robust Object Detection in Low-Light RGB Imagery
Raju Imandi, Chethana B, Bharatesh Chakravarthi +3
Detecting objects reliably under extreme low-light conditions is an open problem in computer vision, with practical urgency in applications ranging from nighttime surveillance to s…
Scale-Aware Vision-Language Adaptation for Extreme Far-Distance Video Person Re-identification
Ashwat Rajbhandari, Bharatesh Chakravarthi
Extreme far-distance video person re-identification (ReID) is particularly challenging due to scale compression, resolution degradation, motion blur, and aerial-ground viewpoint mi…
eNavi: Event-based Imitation Policies for Low-Light Indoor Mobile Robot Navigation
Prithvi Jai Ramesh, Kaustav Chanda, Krishna Vinod +3
Event cameras provide high dynamic range and microsecond-level temporal resolution, making them well-suited for indoor robot navigation, where conventional RGB cameras degrade unde…
UDVideoQA: A Traffic Video Question Answering Dataset for Multi-Object Spatio-Temporal Reasoning in Urban Dynamics
Joseph Raj Vishal, Nagasiri Poluri, Katha Naik +7
Understanding the complex, multi-agent dynamics of urban traffic remains a fundamental challenge for video language models. This paper introduces Urban Dynamics VideoQA, a benchmar…
eSkiTB: A Synthetic Event-based Dataset for Tracking Skiers
Krishna Vinod, Joseph Raj Vishal, Kaustav Chanda +3
Tracking skiers in RGB broadcast footage is challenging due to motion blur, static overlays, and clutter that obscure the fast-moving athlete. Event cameras, with their asynchronou…
InterAct-Video: Reasoning-Rich Video QA for Urban Traffic
Joseph Raj Vishal, Divesh Basina, Rutuja Patil +4
Traffic monitoring is crucial for urban mobility, road safety, and intelligent transportation systems (ITS). Deep learning has advanced video-based traffic monitoring through video…