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2020 – today
- 2020
[c4]David Hall
, Feras Dayoub, John Skinner, Haoyang Zhang, Dimity Miller, Peter Corke, Gustavo Carneiro, Anelia Angelova, Niko Sünderhauf:
Probabilistic Object Detection: Definition and Evaluation. WACV 2020: 1020-1029- [i3]Peter Corke, Feras Dayoub, David Hall, John Skinner, Niko Sünderhauf:
What can robotics research learn from computer vision research? CoRR abs/2001.02366 (2020)
2010 – 2019
- 2019
- [j1]Niko Sünderhauf, Feras Dayoub, David Hall, John Skinner, Haoyang Zhang, Gustavo Carneiro, Peter Corke:
A probabilistic challenge for object detection. Nat. Mach. Intell. 1(9): 443 (2019) - [c3]Peter Corke, Feras Dayoub, David Hall, John Skinner, Niko Sünderhauf:
What Can Robotics Research Learn from Computer Vision Research? ISRR 2019: 987-1003 - [i2]John Skinner, David Hall, Haoyang Zhang, Feras Dayoub, Niko Sünderhauf:
The Probabilistic Object Detection Challenge. CoRR abs/1903.07840 (2019) - 2018
- [i1]David Hall, Feras Dayoub, John Skinner, Peter Corke, Gustavo Carneiro, Niko Sünderhauf:
Probability-based Detection Quality (PDQ): A Probabilistic Approach to Detection Evaluation. CoRR abs/1811.10800 (2018) - 2016
- [c2]John Skinner, Sourav Garg, Niko Sünderhauf, Peter I. Corke, Ben Upcroft, Michael Milford:
High-fidelity simulation for evaluating robotic vision performance. IROS 2016: 2737-2744
2000 – 2009
- 2009
- [c1]Sokratis Makrogiannis, Rahul Bhotika, James V. Miller, John Skinner, Melissa Vass:
Nonparametric Intensity Priors for Level Set Segmentation of Low Contrast Structures. MICCAI (1) 2009: 239-246
Coauthor Index
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