Dimity Miller

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 26

Top Topics

Scoring Metrics

Confusion Matrix

Top Venues

IEEE Robotics Autom. Lett.

Publications

Dimity Miller, Niko Sünderhauf, Alex Kenna, Keita Mason
Open-Set Recognition in the Age of Vision-Language Models. CoRR (2024)
Alieh Hajizadeh Saffar, Laurianne Sitbon, Maria Hoogstrate, Ahmed Abbas, Sirinthip Roomkham, Dimity Miller
Human and Large Language Model Intent Detection in Image-Based Self-Expression of People with Intellectual Disability. CHIIR (2024)
Kealan Dunnett, Reza Arablouei, Dimity Miller, Volkan Dedeoglu, Raja Jurdak
Unlearning Backdoor Attacks through Gradient-Based Model Pruning. CoRR (2024)
Tjeard van Oort, Dimity Miller, Will N. Browne, Nicolas Marticorena, Jesse Haviland, Niko Sünderhauf
Open-Vocabulary Part-Based Grasping. CoRR (2024)
Keita Mason, Joshua Knights, Milad Ramezani, Peyman Moghadam, Dimity Miller
Uncertainty-Aware Lidar Place Recognition in Novel Environments. IROS (2023)
Niko Sünderhauf, Jad Abou-Chakra, Dimity Miller
Density-aware NeRF Ensembles: Quantifying Predictive Uncertainty in Neural Radiance Fields. ICRA (2023)
David Pershouse, Feras Dayoub, Dimity Miller, Niko Sünderhauf
Addressing the Challenges of Open-World Object Detection. CoRR (2023)
Samuel Wilson, Tobias Fischer, Feras Dayoub, Dimity Miller, Niko Sünderhauf
SAFE: Sensitivity-Aware Features for Out-of-Distribution Object Detection. ICCV (2023)
David R. Lovell, Dimity Miller, Jaiden Capra, Andrew P. Bradley
Never mind the metrics - what about the uncertainty? Visualising binary confusion matrix metric distributions to put performance in perspective. ICML (2023)
Keita Mason, Joshua Knights, Milad Ramezani, Peyman Moghadam, Dimity Miller
Uncertainty-Aware Lidar Place Recognition in Novel Environments. CoRR (2022)
Niko Sünderhauf, Jad Abou-Chakra, Dimity Miller
Density-aware NeRF Ensembles: Quantifying Predictive Uncertainty in Neural Radiance Fields. CoRR (2022)
Dimity Miller, Peyman Moghadam, Mark Cox, Matt Wildie, Raja Jurdak
What's in the Black Box? The False Negative Mechanisms Inside Object Detectors. CoRR (2022)
Dimity Miller, Georgia Goode, Callum Bennie, Peyman Moghadam, Raja Jurdak
Why Object Detectors Fail: Investigating the Influence of the Dataset. CVPR Workshops (2022)
David R. Lovell, Dimity Miller, Jaiden Capra, Andrew P. Bradley
Never mind the metrics - what about the uncertainty? Visualising confusion matrix metric distributions. CoRR (2022)
Dimity Miller, Niko Sünderhauf, Michael Milford, Feras Dayoub
Uncertainty for Identifying Open-Set Errors in Visual Object Detection. IEEE Robotics Autom. Lett. 7 (1) (2022)
Dimity Miller, Peyman Moghadam, Mark Cox, Matt Wildie, Raja Jurdak
What's in the Black Box? The False Negative Mechanisms Inside Object Detectors. IEEE Robotics Autom. Lett. 7 (3) (2022)
Dimity Miller, Niko Sünderhauf, Michael Milford, Feras Dayoub
Class Anchor Clustering: A Loss for Distance-based Open Set Recognition. WACV (2021)
Dimity Miller, Niko Sünderhauf, Michael Milford, Feras Dayoub
Uncertainty for Identifying Open-Set Errors in Visual Object Detection. CoRR (2021)
David Hall, Feras Dayoub, John Skinner, Haoyang Zhang, Dimity Miller, Peter Corke, Gustavo Carneiro, Anelia Angelova, Niko Sünderhauf
Probabilistic Object Detection: Definition and Evaluation. WACV (2020)
Dimity Miller
Probabilistic Object Detection with an Ensemble of Experts. ECCV Workshops (6) (2020)
Dimity Miller, Niko Sünderhauf, Michael Milford, Feras Dayoub
Class Anchor Clustering: a Distance-based Loss for Training Open Set Classifiers. CoRR (2020)
Dimity Miller, Niko Sünderhauf, Haoyang Zhang, David Hall, Feras Dayoub
Benchmarking Sampling-based Probabilistic Object Detectors. CVPR Workshops (2019)
Dimity Miller, Feras Dayoub, Michael Milford, Niko Sünderhauf
Evaluating Merging Strategies for Sampling-based Uncertainty Techniques in Object Detection. ICRA (2019)
Dimity Miller, Feras Dayoub, Michael Milford, Niko Sünderhauf
Evaluating Merging Strategies for Sampling-based Uncertainty Techniques in Object Detection. CoRR (2018)
Dimity Miller, Lachlan Nicholson, Feras Dayoub, Niko Sünderhauf
Dropout Sampling for Robust Object Detection in Open-Set Conditions. ICRA (2018)
Dimity Miller, Lachlan Nicholson, Feras Dayoub, Niko Sünderhauf
Dropout Sampling for Robust Object Detection in Open-Set Conditions. CoRR (2017)