Dimity Miller
Dimity Miller
Queensland University of Technology, Australian Centre for Robotic Vision
Verified email at hdr.qut.edu.au
Title
Cited by
Cited by
Year
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
282018
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
72019
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
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Articles 1–6