| Evaluation of features for leaf classification in challenging conditions D Hall, C McCool, F Dayoub, N Sunderhauf, B Upcroft 2015 IEEE Winter Conference on Applications of Computer Vision, 797-804, 2015 | 74 | 2015 |
| Probabilistic Object Detection: Definition and Evaluation D Hall, F Dayoub, J Skinner, H Zhang, D Miller, P Corke, G Carneiro, ... arXiv preprint arXiv:1811.10800, 2018 | 20 | 2018 |
| Towards unsupervised weed scouting for agricultural robotics D Hall, F Dayoub, J Kulk, C McCool 2017 IEEE International Conference on Robotics and Automation (ICRA), 5223-5230, 2017 | 13 | 2017 |
| A rapidly deployable classification system using visual data for the application of precision weed management D Hall, F Dayoub, T Perez, C McCool Computers and Electronics in Agriculture 148, 107-120, 2018 | 7 | 2018 |
| The Probabilistic Object Detection Challenge J Skinner, D Hall, H Zhang, F Dayoub, N Sünderhauf arXiv preprint arXiv:1903.07840, 2019 | 3 | 2019 |
| Benchmarking Sampling-based Probabilistic Object Detectors D Miller, N Sünderhauf, H Zhang, D Hall, F Dayoub Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019 | 2 | 2019 |
| BenchBot: Evaluating Robotics Research in Photorealistic 3D Simulation and on Real Robots B Talbot, D Hall, H Zhang, SR Bista, R Smith, F Dayoub, N Sünderhauf arXiv preprint arXiv:2008.00635, 2020 | 1 | 2020 |
| 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 | 1 | 2020 |
| A transplantable system for weed classification by agricultural robotics D Hall, F Dayoub, T Perez, C McCool Intelligent Robots and Systems (IROS), 2017 IEEE/RSJ International …, 2017 | 1 | 2017 |
| The Robotic Vision Scene Understanding Challenge D Hall, B Talbot, SR Bista, H Zhang, R Smith, F Dayoub, N Sünderhauf arXiv preprint arXiv:2009.05246, 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 |
| A rapidly deployable approach for automated visual weed classification without prior species knowledge DR Hall Queensland University of Technology, 2018 | | 2018 |
| Probabilistic Object Detection: Definition and Evaluation-supplementary material D Hall, F Dayoub, J Skinner, H Zhang, D Miller, P Corke, G Carneiro, ... | | |
Feras DayoubSenior Lecturer at Queensland University of TechnologyVerified email at qut.edu.au
