Dimity Miller

20182019202020214 25 83 7

Feras DayoubSenior Lecturer at Queensland University of TechnologyVerified email at qut.edu.au
Niko Sünderhauf (Suenderhauf)Associate Professor at Queensland University of Technology, Australian Centre for Robotic VisionVerified email at qut.edu.au
David HallResearch Fellow, Queensland University of TechnologyVerified email at qut.edu.au
Lachlan NicholsonPhD Candidate, Queensland University of Technology.Verified email at hdr.qut.edu.au
Michael MilfordQUT Professor | Director (acting), QUT Robotics Centre | Microsoft Fellow | Chief Investigator, ARCVerified email at qut.edu.au
Gustavo CarneiroProfessor, University of AdelaideVerified email at adelaide.edu.au
John SkinnerQueensland University of TechnologyVerified email at hdr.qut.edu.au
Peter CorkeQueensland University of Technology (QUT)Verified email at qut.edu.au
Anelia AngelovaResearch Scientist, GoogleVerified email at google.com

Dimity Miller

Queensland University of Technology, Australian Centre for Robotic Vision

Verified email at hdr.qut.edu.au


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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	59	2018
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	31	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	24	2019
Benchmarking Sampling-based Probabilistic Object Detectors. D Miller, N Sünderhauf, H Zhang, D Hall, F Dayoub CVPR Workshops 3, 2019	4	2019
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	3*	2021
Probabilistic Object Detection with an Ensemble of Experts D Miller European Conference on Computer Vision, 46-55, 2020		2020
Probabilistic Object Detection: Definition and Evaluation-supplementary material D Hall, F Dayoub, J Skinner, H Zhang, D Miller, P Corke, G Carneiro, ...
Dropout Variational Inference Improves Object Detection in Open-Set Conditions D Miller, L Nicholson, F Dayoub, N Sünderhauf

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