Journal Articles

• J. Mo, M. J. Islam and J. Sattar. Fast Direct Stereo Visual SLAM. IEEE Robotics and Automation Letters (RA-L), vol. 7, no. 2, pp. 778-785, 2021, doi: 10.1109/LRA.2021.3133860, 20212021.   [code]  *Impact Factor: 3.74
• M. J. Islam, J. Mo, and J. Sattar. Robot-to-Robot Relative Pose Estimation using Humans as Markers. Autonomous Robots (AuRO), vol. 45, no. 4, pp. 579–593, 2021, doi: 10.1007/s10514-021-09985-6. [bib]   *Impact Factor: 3.602
• M. J. Islam, Y. Xia, and J. Sattar. Fast Underwater Image Enhancement for Improved Visual Perception. IEEE Robotics and Automation Letters (RA-L*), vol. 5, no. 2, pp. 3227-3234, 2020, doi: 10.1109/LRA.2020.2974710.   [code   data   bib]   *Impact Factor: 3.61
• M. J. Islam, J. Hong, and J. Sattar. Person Following by Autonomous Robots: A Categorical Overview. International Journal of Robotics Research (IJRR*), vol. 38, no. 14, pp. 1581-1618, 2019, doi: 10.1177/0278364919881683. [bib]   *Impact Factor: 6.134
• M. J. Islam, M. Fulton, and J. Sattar. Towards a Generic Diver-Following Algorithm: Balancing Robustness and Efficiency in Deep Visual Detection. IEEE Robotics and Automation Letters (RA-L), vol. 4, no. 1, pp. 113-120, 2018, doi: 10.1109/LRA.2018.2882856. [code,   bib]   *Presented at the ICRA 2019
• M. J. Islam, M. Ho, and J. Sattar. Understanding Human Motion and Gestures for Underwater Human-Robot Collaboration. Journal of Field Robotics (JFR*), 2018, doi: 10.1002/rob.21837. [bib]   *Impact Factor: 4.345
• A. B. M. A. A. Islam, M. J. Islam, N. Nurain, and V. Raghunathan. Channel Assignment Techniques for Multi-Radio Wireless Mesh Networks: A Survey. IEEE Communications Surveys and Tutorials (IEEE ComST*), pp. 988-1017, 2016, doi: 10.1109/COMST.2015.2510164. [bib]  *Impact Factor: 22.973

Conference Papers

• M. J. Islam, R. Wang, and J. Sattar. SVAM: Saliency-guided Visual Attention Modeling by Autonomous Underwater Robots. Accepted for publication at the Robotics: Science and Systems (RSS), 2021.   [code   data   bib]
• J. Mo, M. J. Islam and J. Sattar. IMU-Assisted Learning of Single-View Rolling Shutter Correction. Conference on Robot Learning (CoRL), 2021.   [code   data]
• M. J. Islam, P. Luo, and J. Sattar. Simultaneous Enhancement and Super-Resolution of Underwater Imagery for Improved Visual Perception. Robotics: Science and Systems (RSS), 2020.   [code   data   bib]
• M. J. Islam C. Edge, Y. Xiao, P. Luo, M. Mehtaz, C. Morse, S. S. Enan, and J. Sattar. Semantic Segmentation of Underwater Imagery: Dataset and Benchmark. IEEE/RSJ Int. Conf. on Intelligent Robots and Systems (IROS), 2020, Virtual.   [code   data   bib]
• M. J. Islam S. S. Enan, P. Luo, and J. Sattar. Underwater Image Super-Resolution using Deep Residual Multipliers. IEEE Int. Conf. on Robotics and Automation (ICRA), 2020, Virtual.   [code   data   bib]
• M. J. Islam, M. Ho, and J. Sattar. Dynamic Reconfiguration of Mission Parameters in Underwater Human-Robot Collaboration. IEEE Int. Conf. on Robotics and Automation (ICRA), pp. 1-8, 2018, Brisbane, Australia. [code,   bib]
• C. Fabbri, M. J. Islam, and J. Sattar. Enhancing Underwater Imagery using Generative Adversarial Networks. IEEE Int. Conf. on Robotics and Automation (ICRA), pp. 7159-7165, 2018, Brisbane, Australia. [code,   bib]
• M. J. Islam and J. Sattar. Mixed-domain Biological Motion Tracking for Underwater Human-Robot Interaction. IEEE Int. Conf. on Robotics and Automation (ICRA), pp. 4457-4464, 2017, Singapore. [bib]
• F. Shkurti, W. Chang, P. Henderson, M. J. Islam, J. C. G. Higuera, J. Li, T. Manderson, A. Xu, G. Dudek, and J. Sattar. Underwater Multi-Robot Convoying using Visual Tracking by Detection. IEEE/RSJ Int. Conf. on Intelligent Robots and Systems (IROS), pp. 4189-4196, 2017, Vancouver, Canada. [bib]