| Learning from less data: A unified data subset selection and active learning framework for computer vision V Kaushal, R Iyer, S Kothawade, R Mahadev, K Doctor, G Ramakrishnan 2019 IEEE Winter Conference on Applications of Computer Vision (WACV), 1289-1299, 2019 | 68* | 2019 |
| SIMILAR: Submodular Information Measures Based Active Learning In Realistic Scenarios S Kothawade, N Beck, K Killamsetty, R Iyer 35th Conference on Neural Information Processing Systems (NeurIPS 2021 …, 2021 | 55 | 2021 |
| Prism: A rich class of parameterized submodular information measures for guided data subset selection S Kothawade, V Kaushal, G Ramakrishnan, J Bilmes, R Iyer Proceedings of the AAAI Conference on Artificial Intelligence 36 (9), 10238 …, 2022 | 38* | 2022 |
| Efficient water management for greenland using soil moisture sensor SN Kothawade, SM Furkhan, A Raoof, KS Mhaske 2016 IEEE 1st International Conference on Power Electronics, Intelligent …, 2016 | 22 | 2016 |
| A framework towards domain specific video summarization V Kaushal, S Subramanian, S Kothawade, R Iyer, G Ramakrishnan 2019 IEEE winter conference on applications of computer vision (WACV), 666-675, 2019 | 21 | 2019 |
| AUTO-DISCERN: autonomous driving using common sense reasoning S Kothawade, V Khandelwal, K Basu, H Wang, G Gupta arXiv preprint arXiv:2110.13606, 2021 | 15 | 2021 |
| Realistic video summarization through visiocity: A new benchmark and evaluation framework V Kaushal, S Kothawade, R Iyer, G Ramakrishnan Proceedings of the 2nd International Workshop on AI for Smart TV Content …, 2020 | 15* | 2020 |
| TALISMAN: Targeted Active Learning for Object Detection with Rare Classes and Slices using Submodular Mutual Information S Kothawade, S Ghosh, S Shekhar, Y Xiang, R Iyer European Conference in Computer Vision, ECCV 2022, 2021 | 11 | 2021 |
| Learning collaborative action plans from YouTube videos H Zhang, PJ Lai, S Paul, S Kothawade, S Nikolaidis The International Symposium of Robotics Research, 208-223, 2019 | 11 | 2019 |
| Robotic lime picking by considering leaves as permeable obstacles H Nemlekar, Z Liu, S Kothawade, S Niyaz, B Raghavan, S Nikolaidis 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2021 | 6 | 2021 |
| Behavioral and molecular markers of death in Drosophila melanogaster J Tower, S Agrawal, MP Alagappan, HS Bell, M Demeter, N Havanoor, ... Experimental gerontology 126, 110707, 2019 | 6 | 2019 |
| Clinical: Targeted active learning for imbalanced medical image classification S Kothawade, A Savarkar, V Iyer, G Ramakrishnan, R Iyer Workshop on Medical Image Learning with Limited and Noisy Data, 119-129, 2022 | 5 | 2022 |
| Demystifying multi-faceted video summarization: Tradeoff between diversity, representation, coverage and importance V Kaushal, R Iyer, K Doctor, A Sahoo, P Dubal, S Kothawade, R Mahadev, ... 2019 IEEE Winter Conference on Applications of Computer Vision (WACV), 452-461, 2019 | 5 | 2019 |
| Vis-dss: An open-source toolkit for visual data selection and summarization R Iyer, P Dubal, K Dargan, S Kothawade, R Mahadev, V Kaushal arXiv preprint arXiv:1809.08846, 2018 | 5 | 2018 |
| Scalable semantic image retrieval with deep template matching ROY Donna, S Kothawade, E Haussmann, JMA Lopez, M Fenzi, ... US Patent App. 17/226,584, 2022 | 3 | 2022 |
| Submodular Mutual Information for Targeted Data Subset Selection S Kothawade, V Kaushal, G Ramakrishnan, J Bilmes, R Iyer ICLR 2021 From Shallow to Deep: Overcoming Limited and Adverse Data Workshop …, 2021 | 3 | 2021 |
| Deep submodular networks for extractive data summarization S Kothawade, J Girdhar, C Lavania, R Iyer arXiv preprint arXiv:2010.08593, 2020 | 3 | 2020 |
| Deployment of customized deep learning based video analytics on surveillance cameras P Dubal*, R Mahadev*, S Kothawade*, K Dargan, R Iyer arXiv preprint arXiv:1805.10604, 2018 | 3 | 2018 |
| Object-Level Targeted Selection via Deep Template Matching S Kothawade, D Roy, M Fenzi, E Haussmann, JM Alvarez, C Angerer 2022 IEEE Intelligent Vehicles Symposium (IV), 766-771, 2022 | 2 | 2022 |
| PLATINUM: Semi-Supervised Model Agnostic Meta-Learning using Submodular Mutual Information C Li*, S Kothawade*, F Chen, R Iyer (* denotes equal contribution) To appear in ICML 2022, Thirty-ninth International Conference on Machine …, 2022 | 2 | 2022 |
Rishabh IyerUniversity of Texas Dallas, Microsoft, UWVerified email at utdallas.edu
