Dimity Miller - RankMe

39 papers A* 6A 3B 1Journal 24Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	BadDet+: Robust Backdoor Attacks for Object Detection. CoRR Kealan Dunnett, Reza Arablouei, Dimity Miller, Volkan Dedeoglu, Raja Jurdak
2026	J	`jnl`	Predictive Photometric Uncertainty in Gaussian Splatting for Novel View Synthesis. CoRR Chamuditha Jayanga Galappaththige, Thomas Gottwald, Peter Stehr, Edgar Heinert, Niko Sünderhauf, Dimity Miller, Matthias Rottmann
2025	J	`jnl`	Backdoor Mitigation via Invertible Pruning Masks. CoRR Kealan Dunnett, Reza Arablouei, Dimity Miller, Volkan Dedeoglu, Raja Jurdak
2025	J	`jnl`	Changes in Real Time: Online Scene Change Detection with Multi-View Fusion. CoRR Chamuditha Jayanga Galappaththige, Jason Lai, Lloyd Windrim, Donald G. Dansereau, Niko Sünderhauf, Dimity Miller
2025	J	`jnl`	Intra-Class Probabilistic Embeddings for Uncertainty Estimation in Vision-Language Models. CoRR Zhenxiang Lin, Maryam Haghighat, Will Browne, Dimity Miller
2025	A*	`conf`	Multi-View Pose-Agnostic Change Localization with Zero Labels. CVPR Chamuditha Jayanga Galappaththige, Jason Lai, Lloyd Windrim, Donald G. Dansereau, Niko Sünderhauf, Dimity Miller
2025	J	`jnl`	Privacy Preserving Charge Location Prediction for Electric Vehicles. CoRR Robert Marlin, Raja Jurdak, Alsharif Abuadbba, Dimity Miller
2024	J	`jnl`	Countering Backdoor Attacks in Image Recognition: A Survey and Evaluation of Mitigation Strategies. CoRR Kealan Dunnett, Reza Arablouei, Dimity Miller, Volkan Dedeoglu, Raja Jurdak
2024	J	`jnl`	Electric Vehicle Next Charge Location Prediction. IEEE Trans. Intell. Transp. Syst. Robert Marlin, Raja Jurdak, Alsharif Abuadbba, Sushmita Ruj, Dimity Miller
2024	B	`conf`	Human and Large Language Model Intent Detection in Image-Based Self-Expression of People with Intellectual Disability. CHIIR Alieh Hajizadeh Saffar, Laurianne Sitbon, Maria Hoogstrate, Ahmed Abbas, Sirinthip Roomkham, Dimity Miller
2024	J	`jnl`	Multi-View Pose-Agnostic Change Localization with Zero Labels. CoRR Chamuditha Jayanga Galappaththige, Jason Lai, Lloyd Windrim, Donald G. Dansereau, Niko Sünderhauf, Dimity Miller
2024	—	`conf`	Open-Set Recognition in the Age of Vision-Language Models. ECCV (42) Dimity Miller, Niko Sünderhauf, Alex Kenna, Keita Mason
2024	J	`jnl`	Open-Set Recognition in the Age of Vision-Language Models. CoRR Dimity Miller, Niko Sünderhauf, Alex Kenna, Keita Mason
2024	J	`jnl`	Open-Vocabulary Part-Based Grasping. CoRR Tjeard van Oort, Dimity Miller, Will N. Browne, Nicolas Marticorena, Jesse Haviland, Niko Sünderhauf
2024	J	`jnl`	Uncertainty propagation in the internet of things. Discov. Internet Things Shantanu Pal, Sara Khalifa, Dimity Miller, Volkan Dedeoglu, Ali Dorri, Gowri Sankar Ramachandran, Peyman Moghadam, Brano Kusy, Raja Jurdak
2024	—	`conf`	Unlearning Backdoor Attacks Through Gradient-Based Model Pruning. DSN-W Kealan Dunnett, Reza Arablouei, Dimity Miller, Volkan Dedeoglu, Raja Jurdak
2024	J	`jnl`	Unlearning Backdoor Attacks through Gradient-Based Model Pruning. CoRR Kealan Dunnett, Reza Arablouei, Dimity Miller, Volkan Dedeoglu, Raja Jurdak
2023	J	`jnl`	Addressing the Challenges of Open-World Object Detection. CoRR David Pershouse, Feras Dayoub, Dimity Miller, Niko Sünderhauf
2023	A*	`conf`	Density-aware NeRF Ensembles: Quantifying Predictive Uncertainty in Neural Radiance Fields. ICRA Niko Sünderhauf, Jad Abou-Chakra, Dimity Miller
2023	A*	`conf`	Never mind the metrics - what about the uncertainty? Visualising binary confusion matrix metric distributions to put performance in perspective. ICML David R. Lovell, Dimity Miller, Jaiden Capra, Andrew P. Bradley
2023	A*	`conf`	SAFE: Sensitivity-Aware Features for Out-of-Distribution Object Detection. ICCV Samuel Wilson, Tobias Fischer, Feras Dayoub, Dimity Miller, Niko Sünderhauf
2023	A	`conf`	Uncertainty-Aware Lidar Place Recognition in Novel Environments. IROS Keita Mason, Joshua Knights, Milad Ramezani, Peyman Moghadam, Dimity Miller
2022	J	`jnl`	Density-aware NeRF Ensembles: Quantifying Predictive Uncertainty in Neural Radiance Fields. CoRR Niko Sünderhauf, Jad Abou-Chakra, Dimity Miller
2022	J	`jnl`	Never mind the metrics - what about the uncertainty? Visualising confusion matrix metric distributions. CoRR David R. Lovell, Dimity Miller, Jaiden Capra, Andrew P. Bradley
2022	J	`jnl`	Uncertainty for Identifying Open-Set Errors in Visual Object Detection. IEEE Robotics Autom. Lett. Dimity Miller, Niko Sünderhauf, Michael Milford, Feras Dayoub
2022	J	`jnl`	Uncertainty-Aware Lidar Place Recognition in Novel Environments. CoRR Keita Mason, Joshua Knights, Milad Ramezani, Peyman Moghadam, Dimity Miller
2022	J	`jnl`	What's in the Black Box? The False Negative Mechanisms Inside Object Detectors. CoRR Dimity Miller, Peyman Moghadam, Mark Cox, Matt Wildie, Raja Jurdak
2022	J	`jnl`	What's in the Black Box? The False Negative Mechanisms Inside Object Detectors. IEEE Robotics Autom. Lett. Dimity Miller, Peyman Moghadam, Mark Cox, Matt Wildie, Raja Jurdak
2022	—	`conf`	Why Object Detectors Fail: Investigating the Influence of the Dataset. CVPR Workshops Dimity Miller, Georgia Goode, Callum Bennie, Peyman Moghadam, Raja Jurdak
2021	A	`conf`	Class Anchor Clustering: A Loss for Distance-based Open Set Recognition. WACV Dimity Miller, Niko Sünderhauf, Michael Milford, Feras Dayoub
2021	J	`jnl`	Uncertainty for Identifying Open-Set Errors in Visual Object Detection. CoRR Dimity Miller, Niko Sünderhauf, Michael Milford, Feras Dayoub
2020	J	`jnl`	Class Anchor Clustering: a Distance-based Loss for Training Open Set Classifiers. CoRR Dimity Miller, Niko Sünderhauf, Michael Milford, Feras Dayoub
2020	—	`conf`	Probabilistic Object Detection with an Ensemble of Experts. ECCV Workshops (6) Dimity Miller
2020	A	`conf`	Probabilistic Object Detection: Definition and Evaluation. WACV David Hall, Feras Dayoub, John Skinner, Haoyang Zhang, Dimity Miller, Peter Corke, Gustavo Carneiro, Anelia Angelova, Niko Sünderhauf
2019	—	`conf`	Benchmarking Sampling-based Probabilistic Object Detectors. CVPR Workshops Dimity Miller, Niko Sünderhauf, Haoyang Zhang, David Hall, Feras Dayoub
2019	A*	`conf`	Evaluating Merging Strategies for Sampling-based Uncertainty Techniques in Object Detection. ICRA Dimity Miller, Feras Dayoub, Michael Milford, Niko Sünderhauf
2018	A*	`conf`	Dropout Sampling for Robust Object Detection in Open-Set Conditions. ICRA Dimity Miller, Lachlan Nicholson, Feras Dayoub, Niko Sünderhauf
2018	J	`jnl`	Evaluating Merging Strategies for Sampling-based Uncertainty Techniques in Object Detection. CoRR Dimity Miller, Feras Dayoub, Michael Milford, Niko Sünderhauf
2017	J	`jnl`	Dropout Sampling for Robust Object Detection in Open-Set Conditions. CoRR Dimity Miller, Lachlan Nicholson, Feras Dayoub, Niko Sünderhauf