| Varifocalnet: An iou-aware dense object detector H Zhang, Y Wang, F Dayoub, N Sünderhauf Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 1336 | 2021 |
| Deepfruits: A fruit detection system using deep neural networks I Sa, Z Ge, F Dayoub, B Upcroft, T Perez, C McCool sensors 16 (8), 1222, 2016 | 1234 | 2016 |
| On the performance of convnet features for place recognition N Sünderhauf, S Shirazi, F Dayoub, B Upcroft, M Milford 2015 IEEE/RSJ international conference on intelligent robots and systems …, 2015 | 702 | 2015 |
| Place recognition with convnet landmarks: Viewpoint-robust, condition-robust, training-free N Sünderhauf, S Shirazi, A Jacobson, F Dayoub, E Pepperell, B Upcroft, ... Robotics: Science and Systems XI, 1-10, 2015 | 510 | 2015 |
| Dropout sampling for robust object detection in open-set conditions D Miller, L Nicholson, F Dayoub, N Sünderhauf IEEE International Conference on Robotics and Automation (ICRA), 2018 | 335 | 2018 |
| Robot for weed species plant‐specific management O Bawden, J Kulk, R Russell, C McCool, A English, F Dayoub, C Lehnert, ... Journal of Field Robotics, 2017 | 249 | 2017 |
| Place categorization and semantic mapping on a mobile robot N Sünderhauf, F Dayoub, S McMahon, B Talbot, R Schulz, P Corke, ... 2016 IEEE international conference on robotics and automation (ICRA), 5729-5736, 2016 | 198 | 2016 |
| Class anchor clustering: A loss for distance-based open set recognition D Miller, N Sunderhauf, M Milford, F Dayoub Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2021 | 197 | 2021 |
| Semantics for Robotic Mapping, Perception and Interaction: A Survey S Garg, N Sünderhauf, F Dayoub, D Morrison, A Cosgun, G Carneiro, ... Foundations and Trends® in Robotics 8 (1), 1-222, 2021 | 188 | 2021 |
| Probabilistic object detection: Definition and evaluation D Hall, F Dayoub, J Skinner, H Zhang, D Miller, P Corke, G Carneiro, ... IEEE Winter Conference on Applications of Computer Vision 2020, 2020 | 188 | 2020 |
| Evaluation of features for leaf classification in challenging conditions D Hall, C McCool, F Dayoub, N Sunderhauf, B Upcroft IEEE Winter Conference on Applications of Computer Vision (WACV), 797-804, 2015 | 158 | 2015 |
| Evaluating Merging Strategies for Sampling-based Uncertainty Techniques in Object Detection D Miller, F Dayoub, M Milford, N Sünderhauf IEEE International Conference on Robotics and Automation (ICRA), 2019 | 151 | 2019 |
| Peduncle detection of sweet pepper for autonomous crop harvesting—combined color and 3-D information I Sa, C Lehnert, A English, C McCool, F Dayoub, B Upcroft, T Perez IEEE Robotics and Automation Letters 2 (2), 765-772, 2017 | 149 | 2017 |
| An adaptive appearance-based map for long-term topological localization of mobile robots F Dayoub, T Duckett 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2008 | 130 | 2008 |
| Long-term experiments with an adaptive spherical view representation for navigation in changing environments F Dayoub, G Cielniak, T Duckett Robotics and Autonomous Systems 59 (5), 285-295, 2011 | 96 | 2011 |
| Visual detection of occluded crop: For automated harvesting C McCool, I Sa, F Dayoub, C Lehnert, T Perez, B Upcroft 2016 IEEE International Conference on Robotics and Automation (ICRA), 2506-2512, 2016 | 92 | 2016 |
| Run-Time Monitoring of Machine Learning for Robotic Perception: A Survey of Emerging Trends QM Rahman, P Corke, F Dayoub IEEE Access 9, 20067-20075, 2021 | 90 | 2021 |
| Robust re-identification of manta rays from natural markings by learning pose invariant embeddings O Moskvyak, F Maire, F Dayoub, AO Armstrong, M Baktashmotlagh 2021 Digital Image Computing: Techniques and Applications (DICTA), 1-8, 2021 | 69 | 2021 |
| Uncertainty for Identifying Open-Set Errors in Visual Object Detection D Miller, N Sünderhauf, M Milford, F Dayoub IEEE Robotics and Automation Letters 7 (1), 215-222, 2022 | 68 | 2022 |
| Physically embodied gaussian splatting: A visually learnt and physically grounded 3d representation for robotics J Abou-Chakra, K Rana, F Dayoub, N Suenderhauf 8th Annual Conference on Robot Learning, 2024 | 62* | 2024 |
Niko SuenderhaufProfessor at Queensland University of Technology (QUT) Centre for RoboticsVerified email at qut.edu.au
