| Fusionnet: 3d object classification using multiple data representations V Hegde, R Zadeh arXiv preprint arXiv:1607.05695, 2016 | 260 | 2016 |
| Parallel and distributed deep learning V Hegde, S Usmani May 31, 1-8, 2016 | 77 | 2016 |
| Fusionnet: 3d object classification using multiple data representations. arXiv 2016 V Hegde, R Zadeh arXiv preprint arXiv:1607.05695, 0 | 5 | |
| Upper confidence bound algorithm for oilfield logic J Pang, V Hegde, J Chalupsky US Patent 11,915,181, 2024 | 2 | 2024 |
| Unextendible mutually unbiased bases in prime-squared dimensions V Hegde, P Mandayam arXiv preprint arXiv:1508.05892, 2015 | 2 | 2015 |
| 3D Deep Learning with Python: Design and develop your computer vision model with 3D data using PyTorch3D and more X Ma, V Hegde, L Yolyan | | 2022 |
| Field development planning based on deep reinforcement learning V Hegde, JM Chalupsky EP Patent EP3987478A1, 2022 | | 2022 |
| Upper Confidence Bound Algorithm for Oilfield Logic J Pang, V Hegde, J Chalupsky US Patent US20210150440A1, 2021 | | 2021 |
| Field development planning based on deep reinforcement learning V Hegde, JM Chalupsky US Patent WO2020256738A1, 2020 | | 2020 |
| System and method for identifying subsurface structures V Hegde, S Suresha, C Boneti, S Doronichev, J Celaya Galvan, ... WO Patent WO2020231379A1, 2020 | | 2020 |
| A Novel Representation and Pipeline for Object Detection V Hegde, M Dhar | | |
Reza Bosagh ZadehStanford and MatroidVerified email at stanford.edu
