| Fast underwater image enhancement for improved visual perception MJ Islam, Y Xia, J Sattar IEEE Robotics and Automation Letters 5 (2), 3227-3234, 2020 | 988 | 2020 |
| Enhancing underwater imagery using generative adversarial networks C Fabbri, MJ Islam, J Sattar 2018 IEEE international conference on robotics and automation (ICRA), 7159-7165, 2018 | 766 | 2018 |
| Aqua: An amphibious autonomous robot G Dudek, P Giguere, C Prahacs, S Saunderson, J Sattar, ... Computer 40 (1), 46-53, 2007 | 299 | 2007 |
| Simultaneous enhancement and super-resolution of underwater imagery for improved visual perception MJ Islam, P Luo, J Sattar arXiv preprint arXiv:2002.01155, 2020 | 247 | 2020 |
| Robotic detection of marine litter using deep visual detection models M Fulton, J Hong, MJ Islam, J Sattar 2019 international conference on robotics and automation (ICRA), 5752-5758, 2019 | 224 | 2019 |
| Semantic segmentation of underwater imagery: Dataset and benchmark MJ Islam, C Edge, Y Xiao, P Luo, M Mehtaz, C Morse, SS Enan, J Sattar 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2020 | 212 | 2020 |
| A visually guided swimming robot G Dudek, M Jenkin, C Prahacs, A Hogue, J Sattar, P Giguere, A German, ... 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2005 | 173 | 2005 |
| Person-following by autonomous robots: A categorical overview MJ Islam, J Hong, J Sattar The International Journal of Robotics Research 38 (14), 1581-1618, 2019 | 149 | 2019 |
| Auto-play: A data mining approach to ODI cricket simulation and prediction VV Sankaranarayanan, J Sattar, LVS Lakshmanan Proceedings of the 2014 SIAM international conference on data mining, 1064-1072, 2014 | 105 | 2014 |
| Trashcan: A semantically-segmented dataset towards visual detection of marine debris J Hong, M Fulton, J Sattar arXiv preprint arXiv:2007.08097, 2020 | 103 | 2020 |
| Fourier tags: Smoothly degradable fiducial markers for use in human-robot interaction J Sattar, E Bourque, P Giguere, G Dudek Fourth Canadian Conference on Computer and Robot Vision (CRV'07), 165-174, 2007 | 99 | 2007 |
| Underwater image super-resolution using deep residual multipliers MJ Islam, SS Enan, P Luo, J Sattar 2020 IEEE International Conference on Robotics and Automation (ICRA), 900-906, 2020 | 89 | 2020 |
| Understanding human motion and gestures for underwater human–robot collaboration MJ Islam, M Ho, J Sattar Journal of Field Robotics 36 (5), 851-873, 2019 | 89 | 2019 |
| Toward a generic diver-following algorithm: Balancing robustness and efficiency in deep visual detection MJ Islam, M Fulton, J Sattar IEEE Robotics and Automation Letters 4 (1), 113-120, 2018 | 83 | 2018 |
| A visual language for robot control and programming: A human-interface study G Dudek, J Sattar, A Xu Proceedings 2007 IEEE International Conference on Robotics and Automation …, 2007 | 80 | 2007 |
| Enabling autonomous capabilities in underwater robotics J Sattar, G Dudek, O Chiu, I Rekleitis, P Giguere, A Mills, N Plamondon, ... 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2008 | 78 | 2008 |
| Underwater multi-robot convoying using visual tracking by detection F Shkurti, WD Chang, P Henderson, MJ Islam, JCG Higuera, J Li, ... 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2017 | 74 | 2017 |
| Charlie rides the elevator--integrating vision, navigation and manipulation towards multi-floor robot locomotion D Troniak, J Sattar, A Gupta, JJ Little, W Chan, E Calisgan, E Croft, ... 2013 international conference on computer and robot vision, 1-8, 2013 | 53 | 2013 |
| SVAM: Saliency-guided visual attention modeling by autonomous underwater robots MJ Islam, R Wang, J Sattar arXiv preprint arXiv:2011.06252, 2020 | 50 | 2020 |
| Design and experiments with loco auv: A low cost open-source autonomous underwater vehicle C Edge, SS Enan, M Fulton, J Hong, J Mo, K Barthelemy, H Bashaw, ... 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2020 | 49 | 2020 |
