| 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), 1-7, 2018 | 28 | 2018 |
| Probability-based detection quality (pdq): A probabilistic approach to detection evaluation D Hall, F Dayoub, J Skinner, P Corke, G Carneiro, N Sünderhauf arXiv preprint arXiv:1811.10800, 2018 | 10* | 2018 |
| 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 | 7 | 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 | | 2019 |
| Application of neurite orientation dispersion and density imaging (NODDI) to relapsing remitting multiple sclerosis (RRMS) L Magnollay, F Grussu, C Wheeler-Kingshott, V Sethi, H Zhang, D Chard, ... MULTIPLE SCLEROSIS JOURNAL 19 (11), 172-172, 2013 | | 2013 |
| Dropout Variational Inference Improves Object Detection in Open-Set Conditions D Miller, L Nicholson, F Dayoub, N Sünderhauf | | |
