Deep Learning Based Detection of Rhinoceros Beetle Infestation in Coconut Trees Using Drone Imagery. - Atharva Kadethankar; Neelam Sinha; Abhishek Burman; Vinayaka Hegde (CVIP (1), 2020)

Signature Feature Marking Enhanced IRM Framework for Drone Image Analysis in Precision Agriculture. - Atharva Kadethankar; Neelam Sinha; Vinayaka Hegde; Abhishek Burman (ICASSP, 2021)

Towards Efficient Scheduling of Concurrent DNN Training and Inferencing on Accelerated Edges. - Prashanthi S. K; Vinayaka Hegde; Yogesh Simmhan (CCGridW, 2023)

Performance Characterization of Containerized DNN Training and Inference on Edge Accelerators. - Prashanthi S. K; Vinayaka Hegde; Keerthana Patchava; Ankita Das; Yogesh Simmhan (HiPC, 2023)

Energy-Efficient and Latency-Aware Blockchain-Enabled Federated Learning for Edge Networks. - Deepali Kushwaha; Manan Kalavadia; Vinayaka Hegde; Om Jee Pandey (IEEE Trans. Circuits Syst. II Express Briefs, 2024)

Role of the Pretraining and the Adaptation data sizes for low-resource real-time MRI video segmentation. - Masoud Thajudeen Tholan; Vinayaka Hegde; Chetan Sharma; Prasanta Kumar Ghosh (ICASSP, 2025)