| Probabilistic object detection: Definition and evaluation D Hall, F Dayoub, J Skinner, H Zhang, D Miller, P Corke, G Carneiro, ... Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2020 | 143 | 2020 |
| 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 | 34 | 2016 |
| What can robotics research learn from computer vision research? P Corke, F Dayoub, D Hall, J Skinner, N Sünderhauf The International Symposium of Robotics Research, 987-1003, 2019 | 11 | 2019 |
| The probabilistic object detection challenge J Skinner, D Hall, H Zhang, F Dayoub, N Sünderhauf arXiv preprint arXiv:1903.07840, 2019 | 10 | 2019 |
| A probabilistic challenge for object detection N Suenderhauf, F Dayoub, D Hall, J Skinner, H Zhang, G Carneiro, ... Nature Machine Intelligence 1 (9), 443-443, 2019 | 6 | 2019 |
| Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision D Hall, F Dayoub, J Skinner, H Zhang, D Miller, P Corke, N Sünderhauf | 4 | 2020 |
| Probabilistic Object Detection: Definition and Evaluation-supplementary material D Hall, F Dayoub, J Skinner, H Zhang, D Miller, P Corke, G Carneiro, ... | | |
