John Skinner
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Year
High-fidelity simulation for evaluating robotic vision performance
J Skinner, S Garg, N Sünderhauf, P Corke, B Upcroft, M Milford
2016 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2016
152016
Probability-based detection quality (pdq): A probabilistic approach to detection evaluation
D Hall, F Dayoub, J Skinner, P Corke, G Carneiro, N Sünderhauf
arXiv preprint arXiv:1811.10800, 2018
62018
Probabilistic object detection: Definition and evaluation
D Hall, F Dayoub, J Skinner, H Zhang, D Miller, P Corke, G Carneiro, ...
The IEEE Winter Conference on Applications of Computer Vision, 1031-1040, 2020
52020
The Probabilistic Object Detection Challenge
J Skinner, D Hall, H Zhang, F Dayoub, N Sünderhauf
arXiv preprint arXiv:1903.07840, 2019
12019
What can robotics research learn from computer vision research?
P Corke, F Dayoub, D Hall, J Skinner, N Sünderhauf
arXiv preprint arXiv:2001.02366, 2020
2020
A probabilistic challenge for object detection
N Sünderhauf, F Dayoub, D Hall, J Skinner, H Zhang, G Carneiro, ...
Nature Machine Intelligence 1 (9), 443-443, 2019
2019
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