Ravi S. Hegde

According to our database, Ravi S. Hegde authored at least 19 papers between 2017 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

HistoTrack++: A Vision-Based System for Temporal Bout Segmentation, Multi-Target Tracking and Kinematic Analysis in Overhead Combat Sports Videos.

Karthikeyan Angalamman Shanmugasundaramurthi, Vipul Baghel, Anish Monsley Kirupakaran, John Warburton, Ramji Srinivasan, Ravi Sadananda Hegde, Babji Srinivasan

J. Signal Process. Syst., June, 2026

Inverse Design of High Power and High Voltage LDMOS Transistors Using Deep Learning-Based Sample-Efficient Surrogate Model.

Rutu Patel, Ravi S. Hegde, Nihar R. Mohapatra

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., March, 2026

Machine-Learning-Assisted Rapid Design of 2-Bit Digital Coding Metasurfaces Unit Cell.

Ajit Kumar, Praveen Singh, Ravi S. Hegde

Proceedings of the National Conference on Communications, 2026

2025

BoxingVI: A Multi-Modal Benchmark for Boxing Action Recognition and Localization.

Rahul Kumar, Vipul Baghel, Sudhanshu Singh, Bikash Kumar Badatya, Shivam Yadav, Babji Srinivasan, Ravi S. Hegde

CoRR, November, 2025

Biomechanical-phase based Temporal Segmentation in Sports Videos: a Demonstration on Javelin-Throw.

Bikash Kumar Badatya, Vipul Baghel, Jyotirmoy Amin, Ravi S. Hegde

CoRR, September, 2025

HyCMAx: Power-Efficient Hybrid CMOS-Memristor Based Approximate Dividers for Error-Resilient Applications.

Monika Pokharia, Het Trivedi, Siddharth Doshi, Ravi S. Hegde, Joycee Mekie

Proceedings of the 38th International Conference on VLSI Design and 2024 23rd International Conference on Embedded Systems, 2025

PROPEX-RAG: Enhanced GraphRAG Using Prompt-Driven Prompt Execution.

Tejas Sarnaik, Manan Shah, Ravi S. Hegde

Proceedings of the Pattern Recognition and Machine Intelligence, 2025

Utal-Gnn: Unsupervised Temporal Action Localization Using Graph Neural Networks.

Bikash Kumar Badatya, Vipul Baghel, Ravi S. Hegde

Proceedings of the 2025 IEEE International Conference on Image Processing, ICIP 2025, 2025

2024

Hybrid CMOS-Memristor Logic for Boosting the Power-Efficiency in Error Tolerant Applications.

Monika Pokharia, Kailash Prasad, Ravi S. Hegde, Joycee Mekie

Proceedings of the 37th International Conference on VLSI Design and 23rd International Conference on Embedded Systems, 2024

Deep-learning Empowered Multi-objective Antenna Design: A Polygon Patch Antenna Case Study.

Praveen Singh, Soumyashree S. Panda, Ravi S. Hegde

Proceedings of the National Conference on Communications, 2024

A Novel Hierarchical Pipeline for Fine-Grained Punch Recognition in Uncontrolled Setting.

Vipul Baghel, Sagar Deep Deb, Rithihas Nagisetti, Babji Srinivasan, Ravi S. Hegde

Proceedings of the Computer Vision and Image Processing - 9th International Conference, 2024

2023

Towards AI enabled automated tracking of multiple boxers.

A. S. Karthikeyan, Vipul Baghel, Anish Monsley Kirupakaran, John Warburton, Ranganathan Srinivasan, Babji Srinivasan, Ravi Sadananda Hegde

CoRR, 2023

Punch Types and Range Estimation in Boxing Bouts Using IMU Sensors.

Saravanan Manoharan, John Warburton, Ravi S. Hegde, Ranganathan Srinivasan, Babji Srinivasan

Proceedings of the IEEE International Conference on Internet of Things and Intelligence Systems, 2023

Power-Efficient Approximate Multipliers Leveraging Hybrid CMOS-Memristor Paradigm.

Monika Pokharia, Ravi S. Hegde, Joycee Mekie

Proceedings of the IEEE Asia Pacific Conference on Circuits and Systems, 2023

2020

GPU acceleration of the KAZE image feature extraction algorithm.

B. Ramkumar, Rob Laber, Hristo Bojinov, Ravi Sadananda Hegde

J. Real Time Image Process., 2020

2017

Object Detection Using Deep CNNs Trained on Synthetic Images.

Param S. Rajpura, Ravi S. Hegde, Hristo Bojinov

CoRR, 2017

GPGPU Acceleration of the KAZE Image Feature Extraction Algorithm.

Ramkumar B, Ravi S. Hegde, Rob Laber, Hristo Bojinov

CoRR, 2017

Transfer Learning by Finetuning Pretrained CNNs Entirely with Synthetic Images.

Param S. Rajpura, Alakh Aggarwal, Manik Goyal, Sanchit Gupta, Jonti Talukdar, Hristo Bojinov, Ravi S. Hegde

Proceedings of the Computer Vision, Pattern Recognition, Image Processing, and Graphics, 2017

Dataset Augmentation with Synthetic Images Improves Semantic Segmentation.

Manik Goyal, Param S. Rajpura, Hristo Bojinov, Ravi S. Hegde

Proceedings of the Computer Vision, Pattern Recognition, Image Processing, and Graphics, 2017