| Creating xBD: A Dataset for Assessing Building Damage from Satellite Imagery R Gupta, B Goodman, N Patel, R Hosfelt, S Sajeev, E Heim, J Doshi, ... The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019 | 42 | 2019 |
| From Satellite Imagery to Disaster Insights J Doshi, S Basu, G Pang AI for Social Good, NeurIPS2018 Workshop, Montréal, Canada, 2018 | 34 | 2018 |
| From deep learning to episodic memories: Creating categories of visual experiences J Doshi, Z Kira, A Wagner Proceedings of the third annual conference on advances in cognitive systems …, 2015 | 20 | 2015 |
| xbd: A dataset for assessing building damage from satellite imagery R Gupta, R Hosfelt, S Sajeev, N Patel, B Goodman, J Doshi, E Heim, ... arXiv preprint arXiv:1911.09296, 2019 | 17 | 2019 |
| Residual Inception Skip Network for Binary Segmentation J Doshi The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018 | 12 | 2018 |
| Cough Against COVID: Evidence of COVID-19 Signature in Cough Sounds P Bagad, A Dalmia, J Doshi, A Nagrani, P Bhamare, A Mahale, S Rane, ... arXiv preprint arXiv:2009.08790, 2020 | 8 | 2020 |
| FireNet: Real-time Segmentation of Fire Perimeter from Aerial Video J Doshi, D Garcia, C Massey, P Llueca, N Borensztein, M Baird, M Cook, ... arXiv preprint arXiv:1910.06407, 2019 | 6 | 2019 |
| Gaston, M. xbd: A dataset for assessing building damage from satellite imagery. arXiv 2019 R Gupta, R Hosfelt, S Sajeev, N Patel, B Goodman, J Doshi, E Heim, ... arXiv preprint arXiv:1911.09296, 0 | 6 | |
| Who, how, where: Using exemplars to learn social concepts AR Wagner, J Doshi International Conference on Social Robotics, 481-490, 2013 | 4 | 2013 |
| Multi-class segmentation under severe class imbalance: A case study in roof damage assessment JB Boin, N Roth, J Doshi, P Llueca, N Borensztein arXiv preprint arXiv:2010.07151, 2020 | | 2020 |
| Using Machine Learning to Identify and Classify Planetary Landing Site Dangers and Roving Vehicle Obstacles in Remotely Sensed Satellite Imagery and Drone Videos L Schurmeier, J Doshi, P Garcia AGU Fall Meeting Abstracts 2019, P43E-3517, 2019 | | 2019 |
| Spatio-Temporal Deep Features for Surveillance Event Detection J Doshi, Y Cheng, L Brown, Q Fan, R Feris, S Pankanti 10th Machine Learning Symposium, 2016 | | 2016 |
| Deep Segments: Comparisons between Scenes and their Constituent Fragments using Deep Learning J Doshi, C Mason, A Wagner, Z Kira Georgia Institute of Technology, 2014 | | 2014 |
