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Journal Articles
- 2024
[j3]Robert Marlin
, Raja Jurdak, Alsharif Abuadbba, Sushmita Ruj, Dimity Miller:
Electric Vehicle Next Charge Location Prediction. IEEE Trans. Intell. Transp. Syst. 25(10): 14128-14139 (2024)- 2022
- [j2]Dimity Miller, Niko Sünderhauf, Michael Milford, Feras Dayoub:
Uncertainty for Identifying Open-Set Errors in Visual Object Detection. IEEE Robotics Autom. Lett. 7(1): 215-222 (2022) - [j1]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): 8510-8517 (2022)
Conference and Workshop Papers
- 2024
- [c14]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: 199-208 - [c13]Kealan Dunnett, Reza Arablouei, Dimity Miller, Volkan Dedeoglu, Raja Jurdak:
Unlearning Backdoor Attacks Through Gradient-Based Model Pruning. DSN-W 2024: 46-54 - [c12]Dimity Miller, Niko Sünderhauf, Alex Kenna, Keita Mason:
Open-Set Recognition in the Age of Vision-Language Models. ECCV (42) 2024: 1-18 - 2023
- [c11]Samuel Wilson, Tobias Fischer, Feras Dayoub, Dimity Miller, Niko Sünderhauf:
SAFE: Sensitivity-Aware Features for Out-of-Distribution Object Detection. ICCV 2023: 23508-23519 - [c10]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: 22702-22757 - [c9]Niko Sünderhauf, Jad Abou-Chakra, Dimity Miller:
Density-aware NeRF Ensembles: Quantifying Predictive Uncertainty in Neural Radiance Fields. ICRA 2023: 9370-9376 - [c8]Keita Mason, Joshua Knights, Milad Ramezani, Peyman Moghadam, Dimity Miller:
Uncertainty-Aware Lidar Place Recognition in Novel Environments. IROS 2023: 3366-3373 - 2022
- [c7]Dimity Miller, Georgia Goode, Callum Bennie, Peyman Moghadam, Raja Jurdak:
Why Object Detectors Fail: Investigating the Influence of the Dataset. CVPR Workshops 2022: 4822-4829 - 2021
- [c6]Dimity Miller, Niko Sünderhauf, Michael Milford, Feras Dayoub:
Class Anchor Clustering: A Loss for Distance-based Open Set Recognition. WACV 2021: 3569-3577 - 2020
- [c5]Dimity Miller:
Probabilistic Object Detection with an Ensemble of Experts. ECCV Workshops (6) 2020: 46-55 - [c4]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: 1020-1029 - 2019
- [c3]Dimity Miller, Niko Sünderhauf, Haoyang Zhang, David Hall, Feras Dayoub:
Benchmarking Sampling-based Probabilistic Object Detectors. CVPR Workshops 2019: 42-45 - [c2]Dimity Miller, Feras Dayoub, Michael Milford, Niko Sünderhauf:
Evaluating Merging Strategies for Sampling-based Uncertainty Techniques in Object Detection. ICRA 2019: 2348-2354 - 2018
- [c1]Dimity Miller, Lachlan Nicholson, Feras Dayoub, Niko Sünderhauf:
Dropout Sampling for Robust Object Detection in Open-Set Conditions. ICRA 2018: 1-7
Informal and Other Publications
- 2024
- [i12]Dimity Miller, Niko Sünderhauf, Alex Kenna, Keita Mason:
Open-Set Recognition in the Age of Vision-Language Models. CoRR abs/2403.16528 (2024) - [i11]Kealan Dunnett, Reza Arablouei, Dimity Miller, Volkan Dedeoglu, Raja Jurdak:
Unlearning Backdoor Attacks through Gradient-Based Model Pruning. CoRR abs/2405.03918 (2024) - [i10]Tjeard van Oort, Dimity Miller, Will N. Browne, Nicolas Marticorena, Jesse Haviland, Niko Sünderhauf:
Open-Vocabulary Part-Based Grasping. CoRR abs/2406.05951 (2024) - 2023
- [i9]David Pershouse, Feras Dayoub, Dimity Miller, Niko Sünderhauf:
Addressing the Challenges of Open-World Object Detection. CoRR abs/2303.14930 (2023) - 2022
- [i8]Dimity Miller, Peyman Moghadam, Mark Cox, Matt Wildie, Raja Jurdak:
What's in the Black Box? The False Negative Mechanisms Inside Object Detectors. CoRR abs/2203.07662 (2022) - [i7]David R. Lovell, Dimity Miller, Jaiden Capra, Andrew P. Bradley:
Never mind the metrics - what about the uncertainty? Visualising confusion matrix metric distributions. CoRR abs/2206.02157 (2022) - [i6]Niko Sünderhauf, Jad Abou-Chakra, Dimity Miller:
Density-aware NeRF Ensembles: Quantifying Predictive Uncertainty in Neural Radiance Fields. CoRR abs/2209.08718 (2022) - [i5]Keita Mason, Joshua Knights, Milad Ramezani, Peyman Moghadam, Dimity Miller:
Uncertainty-Aware Lidar Place Recognition in Novel Environments. CoRR abs/2210.01361 (2022) - 2021
- [i4]Dimity Miller, Niko Sünderhauf, Michael Milford, Feras Dayoub:
Uncertainty for Identifying Open-Set Errors in Visual Object Detection. CoRR abs/2104.01328 (2021) - 2020
- [i3]Dimity Miller, Niko Sünderhauf, Michael Milford, Feras Dayoub:
Class Anchor Clustering: a Distance-based Loss for Training Open Set Classifiers. CoRR abs/2004.02434 (2020) - 2018
- [i2]Dimity Miller, Feras Dayoub, Michael Milford, Niko Sünderhauf:
Evaluating Merging Strategies for Sampling-based Uncertainty Techniques in Object Detection. CoRR abs/1809.06006 (2018) - 2017
- [i1]Dimity Miller, Lachlan Nicholson, Feras Dayoub, Niko Sünderhauf:
Dropout Sampling for Robust Object Detection in Open-Set Conditions. CoRR abs/1710.06677 (2017)
Coauthor Index
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