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Katherine A. Skinner
Katherine A. Skinner
Assistant Professor, University of Michigan
Verified email at umich.edu - Homepage
Title
Cited by
Cited by
Year
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
2922017
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
35*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
242019
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
222015
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
182016
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
152019
Underwater image dehazing with a light field camera
KA Skinner, M Johnson-Roberson
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017
132017
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
132017
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
122019
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
72020
Detection and segmentation of underwater archaeological sites surveyed with stereo-vision platforms
KA Skinner, M Johnson-Roberson
OCEANS 2015-MTS/IEEE Washington, 1-7, 2015
52015
Uncertainty-Aware Deep Learning for Autonomous Safe Landing Site Selection
K Tomita, KA Skinner, K Ho
arXiv preprint arXiv:2102.10545, 2021
42021
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
42020
Multi-view 3D reconstruction in underwater environments: Evaluation and benchmark
E Iscar, KA Skinner, M Johnson-Roberson
OCEANS 2017-Anchorage, 1-8, 2017
42017
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
32021
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
32020
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
32018
Uncertainty-aware deep learning for safe landing site selection
KA Skinner, K Tomita, K Ho
AAS/AIAA Space Flight Mechanics Meeting 2021, 2021
12021
Learning from the Field: Physically-based Deep Learning to Advance Robot Vision in Natural Environments
K Skinner
Georgia Institute of Technology, 2020
2020
Learning from the Field: Physically-Based Deep Learning to Advance Robot Vision in Underwater Environments
K Skinner
2019
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