| Dropout sampling for robust object detection in open-set conditions D Miller, L Nicholson, F Dayoub, N Sünderhauf 2018 IEEE International Conference on Robotics and Automation (ICRA), 3243-3249, 2018 | 335 | 2018 |
| 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 | 205 | 2021 |
| 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 | 188 | 2020 |
| Evaluating merging strategies for sampling-based uncertainty techniques in object detection D Miller, F Dayoub, M Milford, N Sünderhauf 2019 international conference on robotics and automation (icra), 2348-2354, 2019 | 151 | 2019 |
| Density-aware nerf ensembles: Quantifying predictive uncertainty in neural radiance fields N Sünderhauf, J Abou-Chakra, D Miller arXiv preprint arXiv:2209.08718, 2022 | 79 | 2022 |
| 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, 2021 | 68 | 2021 |
| Safe: Sensitivity-aware features for out-of-distribution object detection S Wilson, T Fischer, F Dayoub, D Miller, N Sünderhauf Proceedings of the ieee/cvf international conference on computer vision …, 2023 | 54 | 2023 |
| Benchmarking Sampling-based Probabilistic Object Detectors. D Miller, N Sünderhauf, H Zhang, D Hall, F Dayoub CVPR Workshops 3, 6, 2019 | 36 | 2019 |
| What’s in the black box? the false negative mechanisms inside object detectors D Miller, P Moghadam, M Cox, M Wildie, R Jurdak IEEE Robotics and Automation Letters 7 (3), 8510-8517, 2022 | 27 | 2022 |
| Never mind the metrics---what about the uncertainty? Visualising binary confusion matrix metric distributions to put performance in perspective D Lovell, D Miller, J Capra, AP Bradley International Conference on Machine Learning, 22702-22757, 2023 | 17* | 2023 |
| Open-set recognition in the age of vision-language models D Miller, N Sünderhauf, A Kenna, K Mason European Conference on Computer Vision, 1-18, 2024 | 16 | 2024 |
| Why object detectors fail: Investigating the influence of the dataset D Miller, G Goode, C Bennie, P Moghadam, R Jurdak Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 16 | 2022 |
| Human and Large Language Model Intent Detection in Image-Based Self-Expression of People with Intellectual Disability A Hajizadeh Saffar, L Sitbon, M Hoogstrate, A Abbas, S Roomkham, ... Proceedings of the 2024 Conference on Human Information Interaction and …, 2024 | 8 | 2024 |
| Addressing the challenges of open-world object detection D Pershouse, F Dayoub, D Miller, N Sünderhauf arXiv preprint arXiv:2303.14930, 2023 | 8 | 2023 |
| Uncertainty-aware lidar place recognition in novel environments K Mason, J Knights, M Ramezani, P Moghadam, D Miller 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2023 | 7 | 2023 |
| Electric vehicle next charge location prediction R Marlin, R Jurdak, A Abuadbba, S Ruj, D Miller IEEE Transactions on Intelligent Transportation Systems 25 (10), 14128-14139, 2024 | 4 | 2024 |
| Multi-View Pose-Agnostic Change Localization with Zero Labels CJ Galappaththige, J Lai, L Windrim, D Dansereau, N Sunderhauf, ... Proceedings of the Computer Vision and Pattern Recognition Conference, 11600 …, 2025 | 3 | 2025 |
| Open-vocabulary part-based grasping T van Oort, D Miller, WN Browne, N Marticorena, J Haviland, ... arXiv preprint arXiv:2406.05951, 2024 | 3 | 2024 |
| Epistemic uncertainty estimation for object detection in open-set conditions D Miller Queensland University of Technology, 2021 | 3 | 2021 |
| Probabilistic object detection with an ensemble of experts D Miller European Conference on Computer Vision, 46-55, 2020 | 3 | 2020 |
Niko SuenderhaufProfessor at Queensland University of Technology (QUT) Centre for RoboticsVerified email at qut.edu.au
