Bharatesh Chakravarthi

According to our database, Bharatesh Chakravarthi authored at least 16 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2025

Event-based Graph Representation with Spatial and Motion Vectors for Asynchronous Object Detection.

Aayush Atul Verma, Arpitsinh Vaghela, Bharatesh Chakravarthi, Kaustav Chanda, Yezhou Yang

CoRR, July, 2025

InterAct-Video: Reasoning-Rich Video QA for Urban Traffic.

Joseph Raj Vishal, Rutuja Patil, Manas Srinivas Gowda, Katha Naik, Yezhou Yang, Bharatesh Chakravarthi

CoRR, July, 2025

SEPose: A Synthetic Event-based Human Pose Estimation Dataset for Pedestrian Monitoring.

Kaustav Chanda, Aayush Atul Verma, Arpitsinh Vaghela, Yezhou Yang, Bharatesh Chakravarthi

CoRR, July, 2025

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

CoRR, June, 2025

Event Quality Score (EQS): Assessing the Realism of Simulated Event Camera Streams via Distances in Latent Space.

Kaustav Chanda, Aayush Atul Verma, Arpitsinh Vaghela, Yezhou Yang, Bharatesh Chakravarthi

CoRR, April, 2025

MC-BEVRO: Multi-Camera Bird Eye View Road Occupancy Detection for Traffic Monitoring.

Arpitsinh Vaghela, Duo Lu, Aayush Atul Verma, Bharatesh Chakravarthi, Hua Wei, Yezhou Yang

CoRR, February, 2025

Event Quality Score (EQS): Assessing the Realism of Simulated Event Camera Streams via Distance in Latent Space.

Kaustav Chanda, Aayush Atul Verma, Arpitsinh Vaghela, Yezhou Yang, Bharatesh Chakravarthi

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2025

2024

Eyes on the Road: State-of-the-Art Video Question Answering Models Assessment for Traffic Monitoring Tasks.

Joseph Raj Vishal, Divesh Basina, Aarya Choudhary, Bharatesh Chakravarthi

CoRR, 2024

KAT to KANs: A Review of Kolmogorov-Arnold Networks and the Neural Leap Forward.

Divesh Basina, Joseph Raj Vishal, Aarya Choudhary, Bharatesh Chakravarthi

CoRR, 2024

Roundabout Dilemma Zone Data Mining and Forecasting with Trajectory Prediction and Graph Neural Networks.

Manthan Chelenahalli Satish, Duo Lu, Bharatesh Chakravarthi, Mohammad Farhadi, Yezhou Yang

CoRR, 2024

SEVD: Synthetic Event-based Vision Dataset for Ego and Fixed Traffic Perception.

Manideep Reddy Aliminati, Bharatesh Chakravarthi, Aayush Atul Verma, Arpitsinh Vaghela, Hua Wei, Xuesong Zhou, Yezhou Yang

CoRR, 2024

SynTraC: A Synthetic Dataset for Traffic Signal Control from Traffic Monitoring Cameras.

Tiejin Chen, Prithvi Shirke, Bharatesh Chakravarthi, Arpitsinh Vaghela, Longchao Da, Duo Lu, Yezhou Yang, Hua Wei

Proceedings of the 27th IEEE International Conference on Intelligent Transportation Systems, 2024

Recent Event Camera Innovations: A Survey.

Bharatesh Chakravarthi, Aayush Atul Verma, Kostas Daniilidis, Cornelia Fermüller, Yezhou Yang

Proceedings of the Computer Vision - ECCV 2024 Workshops, 2024

eTraM: Event-Based Traffic Monitoring Dataset.

Aayush Atul Verma, Bharatesh Chakravarthi, Arpitsinh Vaghela, Hua Wei, Yezhou Yang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

A Comprehensive Review of Leap Motion Controller-based Hand Gesture Datasets.

Bharatesh Chakravarthi, Prabhu Prasad B. M, Pavan Kumar B. N.

CoRR, 2023

SKoPe3D: A Synthetic Dataset for Vehicle Keypoint Perception in 3D from Traffic Monitoring Cameras.

Himanshu Pahadia, Duo Lu, Bharatesh Chakravarthi, Yezhou Yang

Proceedings of the 26th IEEE International Conference on Intelligent Transportation Systems, 2023