| Non-local neural networks X Wang, R Girshick, A Gupta, K He Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 12097 | 2018 |
| Unsupervised visual representation learning by context prediction C Doersch, A Gupta, AA Efros Proceedings of the IEEE international conference on computer vision, 1422-1430, 2015 | 3466 | 2015 |
| Revisiting unreasonable effectiveness of data in deep learning era C Sun, A Shrivastava, S Singh, A Gupta Proceedings of the IEEE international conference on computer vision, 843-852, 2017 | 3251 | 2017 |
| Training region-based object detectors with online hard example mining A Shrivastava, A Gupta, R Girshick Proceedings of the IEEE conference on computer vision and pattern …, 2016 | 3059 | 2016 |
| The visual object tracking vot2015 challenge results M Kristan, J Matas, A Leonardis, M Felsberg, L Cehovin, G Fernandez, ... Proceedings of the IEEE international conference on computer vision …, 2015 | 2187 | 2015 |
| Target-driven visual navigation in indoor scenes using deep reinforcement learning Y Zhu, R Mottaghi, E Kolve, JJ Lim, A Gupta, L Fei-Fei, A Farhadi 2017 IEEE international conference on robotics and automation (ICRA), 3357-3364, 2017 | 1971 | 2017 |
| Cross-stitch networks for multi-task learning I Misra, A Shrivastava, A Gupta, M Hebert Proceedings of the IEEE conference on computer vision and pattern …, 2016 | 1713 | 2016 |
| Hollywood in homes: Crowdsourcing data collection for activity understanding GA Sigurdsson, G Varol, X Wang, A Farhadi, I Laptev, A Gupta Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016 | 1505 | 2016 |
| Supersizing self-supervision: Learning to grasp from 50k tries and 700 robot hours L Pinto, A Gupta 2016 IEEE international conference on robotics and automation (ICRA), 3406-3413, 2016 | 1396 | 2016 |
| Never-ending learning T Mitchell, W Cohen, E Hruschka, P Talukdar, B Yang, J Betteridge, ... Communications of the ACM 61 (5), 103-115, 2018 | 1386 | 2018 |
| Unsupervised learning of visual representations using videos X Wang, A Gupta Proceedings of the IEEE international conference on computer vision, 2794-2802, 2015 | 1355 | 2015 |
| Ensemble of exemplar-svms for object detection and beyond T Malisiewicz, A Gupta, AA Efros 2011 International conference on computer vision, 89-96, 2011 | 1213 | 2011 |
| Robust adversarial reinforcement learning L Pinto, J Davidson, R Sukthankar, A Gupta International conference on machine learning, 2817-2826, 2017 | 1090 | 2017 |
| What makes paris look like paris? C Doersch, S Singh, A Gupta, J Sivic, AA Efros Communications of the ACM 58 (12), 103-110, 2015 | 1038 | 2015 |
| Ai2-thor: An interactive 3d environment for visual ai E Kolve, R Mottaghi, W Han, E VanderBilt, L Weihs, A Herrasti, M Deitke, ... arXiv preprint arXiv:1712.05474, 2017 | 979 | 2017 |
| Videos as space-time region graphs X Wang, A Gupta Proceedings of the European conference on computer vision (ECCV), 399-417, 2018 | 911 | 2018 |
| Openimages: A public dataset for large-scale multi-label and multi-class image classification I Krasin, T Duerig, N Alldrin, V Ferrari, S Abu-El-Haija, A Kuznetsova, ... Dataset available from https://github. com/openimages 2 (3), 18, 2017 | 901 | 2017 |
| Learning a predictable and generative vector representation for objects R Girdhar, DF Fouhey, M Rodriguez, A Gupta Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, the …, 2016 | 874 | 2016 |
| Twenty-three unsolved problems in hydrology (UPH)–a community perspective G Blöschl, MFP Bierkens, A Chambel, C Cudennec, G Destouni, A Fiori, ... Hydrological sciences journal 64 (10), 1141-1158, 2019 | 803 | 2019 |
| A-fast-rcnn: Hard positive generation via adversary for object detection X Wang, A Shrivastava, A Gupta Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 789 | 2017 |
Abhinav ShrivastavaAssociate Professor, University of Maryland, College ParkVerified email at cs.umd.edu
