| WaterGAN: Unsupervised generative network to enable real-time color correction of monocular underwater images J Li, KA Skinner, RM Eustice, M Johnson-Roberson IEEE Robotics and Automation letters 3 (1), 387-394, 2017 | 732 | 2017 |
| Modeling camera effects to improve visual learning from synthetic data A Carlson, KA Skinner, R Vasudevan, M Johnson-Roberson Proceedings of the European Conference on Computer Vision (ECCV) Workshops, 0-0, 2018 | 67* | 2018 |
| Dispsegnet: Leveraging semantics for end-to-end learning of disparity estimation from stereo imagery J Zhang, KA Skinner, R Vasudevan, M Johnson-Roberson IEEE Robotics and Automation Letters 4 (2), 1162-1169, 2019 | 64 | 2019 |
| Uwstereonet: Unsupervised learning for depth estimation and color correction of underwater stereo imagery KA Skinner, J Zhang, EA Olson, M Johnson-Roberson 2019 International Conference on Robotics and Automation (ICRA), 7947-7954, 2019 | 42 | 2019 |
| Sensor transfer: Learning optimal sensor effect image augmentation for sim-to-real domain adaptation A Carlson, KA Skinner, R Vasudevan, M Johnson-Roberson IEEE Robotics and Automation Letters 4 (3), 2431-2438, 2019 | 37 | 2019 |
| Bathymetric factor graph SLAM with sparse point cloud alignment V Bichucher, JM Walls, P Ozog, KA Skinner, RM Eustice OCEANS 2015-MTS/IEEE Washington, 1-7, 2015 | 37 | 2015 |
| Integrating machine learning for planetary science: Perspectives for the next decade AR Azari, JB Biersteker, RM Dewey, G Doran, EJ Forsberg, CDK Harris, ... arXiv preprint arXiv:2007.15129, 2020 | 32* | 2020 |
| Underwater image dehazing with a light field camera KA Skinner, M Johnson-Roberson Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 27 | 2017 |
| Towards real-time underwater 3D reconstruction with plenoptic cameras KA Skinner, M Johnson-Roberson 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2016 | 27 | 2016 |
| Automatic color correction for 3D reconstruction of underwater scenes KA Skinner, E Iscar Ruland, M Johnson-Roberson IEEE International Conference on Robotics and Automation, 2017 | 24 | 2017 |
| Visual SLAM for asteroid relative navigation M Dor, KA Skinner, T Driver, P Tsiotras Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 23 | 2021 |
| Waternerf: Neural radiance fields for underwater scenes AV Sethuraman, MS Ramanagopal, KA Skinner OCEANS 2023-MTS/IEEE US Gulf Coast, 1-7, 2023 | 16 | 2023 |
| Bayesian deep learning for segmentation for autonomous safe planetary landing K Tomita, KA Skinner, K Ho Journal of Spacecraft and Rockets 59 (6), 1800-1808, 2022 | 16* | 2022 |
| CLONeR: Camera-Lidar Fusion for Occupancy Grid-Aided Neural Representations A Carlson, MS Ramanagopal, N Tseng, M Johnson-Roberson, ... IEEE Robotics and Automation Letters 8 (5), 2812-2819, 2023 | 13 | 2023 |
| AstroVision: Towards autonomous feature detection and description for missions to small bodies using deep learning T Driver, KA Skinner, M Dor, P Tsiotras Acta Astronautica 210, 393-410, 2023 | 11 | 2023 |
| Hazard detection algorithm for planetary landing using semantic segmentation K Tomita, K Skinner, K Iiyama, B Jagatia, T Nakagawa, K Ho ASCEND 2020, 4150, 2020 | 11 | 2020 |
| LONER: LiDAR Only Neural Representations for Real-Time SLAM S Isaacson, PC Kung, M Ramanagopal, R Vasudevan, KA Skinner IEEE Robotics and Automation Letters, 2023 | 10 | 2023 |
| Multi-view 3D reconstruction in underwater environments: Evaluation and benchmark E Iscar, KA Skinner, M Johnson-Roberson OCEANS 2017-Anchorage, 1-8, 2017 | 9 | 2017 |
| Space carving in space: A visual-SLAM approach to 3D shape reconstruction of a small celestial body T Driver, M Dor, K Skinner, P Tsiotras AAS/AIAA Astrodynamics Specialist Conference, 9-13, 2020 | 7 | 2020 |
| Synthetic data generation for deep learning of underwater disparity estimation EA Olson, C Barbalata, J Zhang, KA Skinner, M Johnson-Roberson OCEANS 2018 MTS/IEEE Charleston, 1-6, 2018 | 7 | 2018 |
Matthew Johnson-RobersonProfessor of Robotics, Carnegie Mellon University在 cmu.edu 的电子邮件经过验证
