Dataset Augmentation with Synthetic Images Improves Semantic Segmentation. - Manik Goyal; Param S. Rajpura; Hristo Bojinov; Ravi S. Hegde (NCVPRIPG, 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 (NCVPRIPG, 2017)

GPGPU Acceleration of the KAZE Image Feature Extraction Algorithm. - Ramkumar B; Ravi S. Hegde; Rob Laber; Hristo Bojinov (CoRR, 2017)

Object Detection Using Deep CNNs Trained on Synthetic Images. - Param S. Rajpura; Ravi S. Hegde; Hristo Bojinov (CoRR, 2017)

GPU acceleration of the KAZE image feature extraction algorithm. - B. Ramkumar; Rob Laber; Hristo Bojinov; Ravi Sadananda Hegde (J. Real Time Image Process., 2020)

Power-Efficient Approximate Multipliers Leveraging Hybrid CMOS-Memristor Paradigm. - Monika Pokharia; Ravi S. Hegde; Joycee Mekie (APCCAS, 2023)

Punch Types and Range Estimation in Boxing Bouts Using IMU Sensors. - Saravanan Manoharan; John Warburton; Ravi S. Hegde; Ranganathan Srinivasan; Babji Srinivasan (IoTaIS, 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)

Deep-learning Empowered Multi-objective Antenna Design: A Polygon Patch Antenna Case Study. - Praveen Singh; Soumyashree S. Panda; Ravi S. Hegde (NCC, 2024)

Hybrid CMOS-Memristor Logic for Boosting the Power-Efficiency in Error Tolerant Applications. - Monika Pokharia; Kailash Prasad; Ravi S. Hegde; Joycee Mekie (VLSID, 2024)

HyCMAx: Power-Efficient Hybrid CMOS-Memristor Based Approximate Dividers for Error-Resilient Applications. - Monika Pokharia; Het Trivedi; Siddharth Doshi; Ravi S. Hegde; Joycee Mekie (VLSID, 2025)