- [C22] R. Chen, D. Blow, A. Abdullah, and M. J. Islam.
Word2Wave: Language Driven Mission Programming for Efficient Subsea Deployments of Marine Robots.
In Review, 2024. [project page ]
- [J8] S. Huang, K.F.F. Suhi, and M. J. Islam.
LightViz: Autonomous Light-field Sensing and Mapping for Distributed Light Pollution Monitoring
. In Review, 2024.
- [C21] A. Abdullah, R. Chen, I. Rekleitis, and M. J. Islam.
Ego-to-Exo: Interfacing Third Person Visuals from Egocentric Views in Real-time for Improved ROV Teleoperation.
Accepted for publication at the International Symposium on Robotics Research (ISRR), 2024.
- [C20] M. Mohammadi, A. Abdullah, A. Juneja, I. Rekleitis, M. J. Islam, and R. Zand.
Edge-Centric Real-Time Segmentation for Autonomous Underwater Cave Exploration.
Accepted for publication at the IEEE International Conference on Machine Learning and Applications (ICMLA), 2024, US.
- [C19] J. M. Sheldon, W. Zhu, A. Abdullah, S.H.V Bhupathiraju, T. Sugawara, K. Butler, M. J. Islam, S. Rampazzi.
AquaSonic: Acoustic Manipulation of Underwater Data Center Operations and Resource Management.
45th IEEE Symposium on Security and Privacy (S&P),
2024, San Francisco, CA, US. [project page
news] (Acceptance Rate: 17.8%)
- [C18] A. Abdullah, M. Talebi, R. Chen, and M. J. Islam.
A Mobile Robotic Solution for Dense Water Quality Sensing and Monitoring.
Robots for Understanding Natural Ecosystems (RUNE) Workshop at IEEE International Conference on Robotics and Automation
(ICRA), 2024, Yokohama, Japan.
- [C17] S. Huang, A. Abdullah, R. Chen, and M. J. Islam.
Dynamic Light-field Sensing for Distributed Light Pollution Monitoring
.
Robots for Understanding Natural Ecosystems (RUNE) Workshop at IEEE International Conference on Robotics and Automation
(ICRA), 2024, Yokohama, Japan.
- [C16] A. Abdullah, T. Barua, Z. Chen, R. Tibbetts, M. J. Islam, and I. Rekleitis.
CaveSeg: Deep Semantic Segmentation and Scene Parsing for Autonomous Underwater Cave Exploration.
IEEE International Conference on Robotics and Automation (ICRA), 2024, Yokohama, Japan.
[project page]
- [C15] M. J. Islam.
Eye On the Back: Augmented Visuals for Improved ROV Teleoperation in Deep Water Surveillance and Inspection.
SPIE Defense and Commercial Sensing, 2024, National Harbor, Maryland, US.
- [C14] M. Mohammadi, S. Huang, T. Barua, I. Rekleitis, M. J. Islam, and R. Zand.
Caveline Detection at the Edge for Autonomous Underwater Cave Exploration and Mapping.
IEEE International Conference on Machine Learning and Applications (ICMLA), 2023, Jacksonville, US.
- [C13] B. Yu, R. Tibbetts, T. Barua, A. Morales, I. Rekleitis, and M. J. Islam.
Weakly Supervised Caveline Detection For AUV Navigation Inside Underwater Caves.
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2023, Michigan, US.
[project page]
- [C12] J. Wu, B. Yu, and M. J. Islam.
3D Reconstruction of Underwater Scenes using Nonlinear Domain Projection.
Best paper award at the IEEE Conference on Artificial Intelligence (CAI),
2023, Santa Clara, CA, US.
[poster]
- [C11] J. M. Sheldon, W. Zhu, A. Abdullah, K. Butler, M. J. Islam, S. Rampazzi.
Deep Note: Can Acoustic Interference Damage the Availability of Hard Disk Storage in
Underwater Data Centers?
Best paper award at the ACM Workshop on Hot Topics in
Storage and File Systems (HotStorage),
2023, Boston, MA, US.
- [C10] B. Yu, J. Wu, and M. J. Islam.
UDepth: Fast Monocular Depth Estimation for Visually-guided Underwater Robots.
IEEE International Conference on Robotics and Automation (ICRA), 2023, London, UK.
[project page
pre-print
code]
- [C9] M. J. Islam, R. Wang, and J. Sattar.
SVAM: Saliency-guided Visual Attention Modeling by Autonomous Underwater Robots.
Robotics: Science and Systems (RSS), P048, 2022, NYC, NY, US.
[pre-print
code
data
bib] (Acceptance Rate: 32%)
- [J7] 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: 3.7
- [C8] J. Mo, M. J. Islam and J. Sattar.
IMU-Assisted Learning of Single-View Rolling Shutter Correction.
Conference on Robot Learning (CoRL), 2021.
[pre-print
code
data]
- [J6] 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, 2021.
[code] *Impact Factor: 3.74
- [J5] 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
- [C7] 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] (Acceptance Rate: 26.7%)
- [C6] 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 International Conference on Intelligent Robots and Systems (IROS), 2020, Virtual.
[code
data
bib]
- [C5] M. J. Islam S. S. Enan, P. Luo, and J. Sattar.
Underwater Image Super-Resolution using Deep Residual Multipliers.
IEEE International Conference on Robotics and Automation (ICRA), 2020, Virtual.
[code
data
bib]
- [J4] 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
- [J3] 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
- [J2] 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
- [C4] M. J. Islam, M. Ho, and J. Sattar.
Dynamic Reconfiguration of Mission Parameters in Underwater Human-Robot Collaboration.
IEEE International Conference on Robotics and Automation (ICRA), pp. 1-8, 2018, Brisbane, Australia.
[code,
bib]
- [C3] C. Fabbri, M. J. Islam and J. Sattar.
Enhancing Underwater Imagery using Generative Adversarial Networks.
IEEE International Conference on Robotics and Automation (ICRA), pp. 7159-7165, 2018, Brisbane, Australia.
[code,
bib]
- [C2] M. J. Islam and J. Sattar.
Mixed-domain Biological Motion Tracking for Underwater Human-Robot Interaction.
IEEE International Conference on Robotics and Automation (ICRA), pp. 4457-4464, 2017, Singapore. [bib]
- [C1] 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 International Conference on Intelligent Robots and Systems (IROS), pp. 4189-4196, 2017, Vancouver, Canada. [bib]
- [J1] A. B. M. A. A. Islam, M. J. Islam and 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
- © RoboPI. All rights reserved.
- Design: HTML5 UP