Dropout Sampling for Robust Object Detection in Open-Set Conditions. - Dimity Miller; Lachlan Nicholson; Feras Dayoub; Niko Sünderhauf (ICRA, 2018)

Benchmarking Sampling-based Probabilistic Object Detectors. - Dimity Miller; Niko Sünderhauf; Haoyang Zhang; David Hall 003; Feras Dayoub (CVPR Workshops, 2019)

Evaluating Merging Strategies for Sampling-based Uncertainty Techniques in Object Detection. - Dimity Miller; Feras Dayoub; Michael Milford; Niko Sünderhauf (ICRA, 2019)

Probabilistic Object Detection with an Ensemble of Experts. - Dimity Miller (ECCV Workshops (6), 2020)

Probabilistic Object Detection: Definition and Evaluation. - David Hall 003; Feras Dayoub; John Skinner; Haoyang Zhang; Dimity Miller; Peter Corke; Gustavo Carneiro 001; Anelia Angelova; Niko Sünderhauf (WACV, 2020)

Class Anchor Clustering: a Distance-based Loss for Training Open Set Classifiers. - Dimity Miller; Niko Sünderhauf; Michael Milford; Feras Dayoub (CoRR, 2020)

Class Anchor Clustering: A Loss for Distance-based Open Set Recognition. - Dimity Miller; Niko Sünderhauf; Michael Milford; Feras Dayoub (WACV, 2021)

Why Object Detectors Fail: Investigating the Influence of the Dataset. - Dimity Miller; Georgia Goode; Callum Bennie; Peyman Moghadam; Raja Jurdak (CVPR Workshops, 2022)

Never mind the metrics - what about the uncertainty? Visualising confusion matrix metric distributions. - David R. Lovell; Dimity Miller; Jaiden Capra; Andrew P. Bradley (CoRR, 2022)

What's in the Black Box? The False Negative Mechanisms Inside Object Detectors. - Dimity Miller; Peyman Moghadam; Mark Cox; Matt Wildie; Raja Jurdak (IEEE Robotics Autom. Lett., 2022)

Uncertainty for Identifying Open-Set Errors in Visual Object Detection. - Dimity Miller; Niko Sünderhauf; Michael Milford; Feras Dayoub (IEEE Robotics Autom. Lett., 2022)

SAFE: Sensitivity-Aware Features for Out-of-Distribution Object Detection. - Samuel Wilson; Tobias Fischer 001; Feras Dayoub; Dimity Miller; Niko Sünderhauf (ICCV, 2023)

Never mind the metrics - what about the uncertainty? Visualising binary confusion matrix metric distributions to put performance in perspective. - David R. Lovell; Dimity Miller; Jaiden Capra; Andrew P. Bradley (ICML, 2023)

Density-aware NeRF Ensembles: Quantifying Predictive Uncertainty in Neural Radiance Fields. - Niko Sünderhauf; Jad Abou-Chakra; Dimity Miller (ICRA, 2023)

Uncertainty-Aware Lidar Place Recognition in Novel Environments. - Keita Mason; Joshua Knights; Milad Ramezani; Peyman Moghadam; Dimity Miller (IROS, 2023)

Addressing the Challenges of Open-World Object Detection. - David Pershouse; Feras Dayoub; Dimity Miller; Niko Sünderhauf (CoRR, 2023)

Human and Large Language Model Intent Detection in Image-Based Self-Expression of People with Intellectual Disability. - Alieh Hajizadeh Saffar; Laurianne Sitbon; Maria Hoogstrate; Ahmed Abbas; Sirinthip Roomkham; Dimity Miller (CHIIR, 2024)

Unlearning Backdoor Attacks Through Gradient-Based Model Pruning. - Kealan Dunnett; Reza Arablouei; Dimity Miller; Volkan Dedeoglu; Raja Jurdak (DSN-W, 2024)

Open-Set Recognition in the Age of Vision-Language Models. - Dimity Miller; Niko Sünderhauf; Alex Kenna; Keita Mason (ECCV (42), 2024)

Open-Vocabulary Part-Based Grasping. - Tjeard van Oort; Dimity Miller; Will N. Browne; Nicolas Marticorena; Jesse Haviland; Niko Sünderhauf (CoRR, 2024)

Countering Backdoor Attacks in Image Recognition: A Survey and Evaluation of Mitigation Strategies. - Kealan Dunnett; Reza Arablouei; Dimity Miller; Volkan Dedeoglu; Raja Jurdak (CoRR, 2024)

Electric Vehicle Next Charge Location Prediction. - Robert Marlin; Raja Jurdak; Alsharif Abuadbba; Sushmita Ruj; Dimity Miller (IEEE Trans. Intell. Transp. Syst., 2024)

Uncertainty propagation in the internet of things. - Shantanu Pal; Sara Khalifa; Dimity Miller; Volkan Dedeoglu; Ali Dorri; Gowri Sankar Ramachandran; Peyman Moghadam; Brano Kusy; Raja Jurdak (Discov. Internet Things, 2024)

Multi-View Pose-Agnostic Change Localization with Zero Labels. - Chamuditha Jayanga Galappaththige; Jason Lai; Lloyd Windrim; Donald G. Dansereau; Niko Sünderhauf; Dimity Miller (CVPR, 2025)

Privacy Preserving Charge Location Prediction for Electric Vehicles. - Robert Marlin; Raja Jurdak; Alsharif Abuadbba; Dimity Miller (CoRR, 2025)