14 citations · 18 across the 20 of their papers we have counts for
16 papers · 1 filter
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…
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…
Event-based Graph Representation with Spatial and Motion Vectors for Asynchronous Object Detection
Aayush Atul Verma, Arpitsinh Vaghela, Bharatesh Chakravarthi +2
Event-based sensors offer high temporal resolution and low latency by generating sparse, asynchronous data. However, converting this irregular data into dense tensors for use in st…
SEPose: A Synthetic Event-based Human Pose Estimation Dataset for Pedestrian Monitoring
Kaustav Chanda, Aayush Atul Verma, Arpitsinh Vaghela +2
Event-based sensors have emerged as a promising solution for addressing challenging conditions in pedestrian and traffic monitoring systems. Their low-latency and high dynamic rang…
How Real is CARLAs Dynamic Vision Sensor? A Study on the Sim-to-Real Gap in Traffic Object Detection
Kaiyuan Tan, Pavan Kumar B N, Bharatesh Chakravarthi
Event cameras are gaining traction in traffic monitoring applications due to their low latency, high temporal resolution, and energy efficiency, which makes them well-suited for re…
Event Quality Score (EQS): Assessing the Realism of Simulated Event Camera Streams via Distances in Latent Space
Kaustav Chanda, Aayush Atul Verma, Arpitsinh Vaghela +2
Event cameras promise a paradigm shift in vision sensing with their low latency, high dynamic range, and asynchronous nature of events. Unfortunately, the scarcity of high-quality…
MC-BEVRO: Multi-Camera Bird Eye View Road Occupancy Detection for Traffic Monitoring
Arpitsinh Vaghela, Duo Lu, Aayush Atul Verma +3
Single camera 3D perception for traffic monitoring faces significant challenges due to occlusion and limited field of view. Moreover, fusing information from multiple cameras at th…
Eyes on the Road: State-of-the-Art Video Question Answering Models Assessment for Traffic Monitoring Tasks
Joseph Raj Vishal, Divesh Basina, Aarya Choudhary +1
Recent advances in video question answering (VideoQA) offer promising applications, especially in traffic monitoring, where efficient video interpretation is critical. Within ITS,…
Roundabout Dilemma Zone Data Mining and Forecasting with Trajectory Prediction and Graph Neural Networks
Manthan Chelenahalli Satish, Duo Lu, Bharatesh Chakravarthi +2
Traffic roundabouts, as complex and critical road scenarios, pose significant safety challenges for autonomous vehicles. In particular, the encounter of a vehicle with a dilemma zo…
Recent Event Camera Innovations: A Survey
Bharatesh Chakravarthi, Aayush Atul Verma, Kostas Daniilidis +2
Event-based vision, inspired by the human visual system, offers transformative capabilities such as low latency, high dynamic range, and reduced power consumption. This paper prese…
SEVD: Synthetic Event-based Vision Dataset for Ego and Fixed Traffic Perception
Manideep Reddy Aliminati, Bharatesh Chakravarthi, Aayush Atul Verma +4
Recently, event-based vision sensors have gained attention for autonomous driving applications, as conventional RGB cameras face limitations in handling challenging dynamic conditi…
eTraM: Event-based Traffic Monitoring Dataset
Aayush Atul Verma, Bharatesh Chakravarthi, Arpitsinh Vaghela +2
Event cameras, with their high temporal and dynamic range and minimal memory usage, have found applications in various fields. However, their potential in static traffic monitoring…
SKoPe3D: A Synthetic Dataset for Vehicle Keypoint Perception in 3D from Traffic Monitoring Cameras
Himanshu Pahadia, Duo Lu, Bharatesh Chakravarthi +1
Intelligent transportation systems (ITS) have revolutionized modern road infrastructure, providing essential functionalities such as traffic monitoring, road safety assessment, con…