Dimity Miller

About Dimity Miller

Dimity Miller, With an exceptional h-index of 8 and a recent h-index of 8 (since 2020), a distinguished researcher at Queensland University of Technology, specializes in the field of Uncertainty Estimation, Robotic Vision, Open-set Recognition, Object Detection.

His recent articles reflect a diverse array of research interests and contributions to the field:

Open-Set Recognition in the Age of Vision-Language Models

Human and Large Language Model Intent Detection in Image-Based Self-Expression of People with Intellectual Disability

Unlearning Backdoor Attacks through Gradient-Based Model Pruning

Uncertainty-aware lidar place recognition in novel environments

Never mind the metrics-what about the uncertainty? Visualising binary confusion matrix metric distributions to put performance in perspective

Density-aware nerf ensembles: Quantifying predictive uncertainty in neural radiance fields

Addressing the Challenges of Open-World Object Detection

SAFE: Sensitivity-aware features for out-of-distribution object detection

Dimity Miller Information

University

Position

Australian Centre for Robotic Vision

Citations(all)

677

Citations(since 2020)

671

Cited By

144

hIndex(all)

8

hIndex(since 2020)

8

i10Index(all)

8

i10Index(since 2020)

8

Email

University Profile Page

Google Scholar

Dimity Miller Skills & Research Interests

Uncertainty Estimation

Robotic Vision

Open-set Recognition

Object Detection

Top articles of Dimity Miller

Open-Set Recognition in the Age of Vision-Language Models

arXiv preprint arXiv:2403.16528

2024/3/25

Dimity Miller
Dimity Miller

H-Index: 4

Human and Large Language Model Intent Detection in Image-Based Self-Expression of People with Intellectual Disability

2024/3/10

Unlearning Backdoor Attacks through Gradient-Based Model Pruning

Proceedings of the Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN 2024), Brisbane, Australia, June, 2024.

2024

Dimity Miller
Dimity Miller

H-Index: 4

Raja Jurdak
Raja Jurdak

H-Index: 31

Uncertainty-aware lidar place recognition in novel environments

2022

Never mind the metrics-what about the uncertainty? Visualising binary confusion matrix metric distributions to put performance in perspective

2023/7/3

David Lovell
David Lovell

H-Index: 13

Dimity Miller
Dimity Miller

H-Index: 4

Density-aware nerf ensembles: Quantifying predictive uncertainty in neural radiance fields

2023/5/29

Dimity Miller
Dimity Miller

H-Index: 4

Addressing the Challenges of Open-World Object Detection

arXiv preprint arXiv:2303.14930

2023/3/27

Feras Dayoub
Feras Dayoub

H-Index: 17

Dimity Miller
Dimity Miller

H-Index: 4

SAFE: Sensitivity-aware features for out-of-distribution object detection

2023

What’s in the black box? the false negative mechanisms inside object detectors

IEEE Robotics and Automation Letters

2022/7/1

Dimity Miller
Dimity Miller

H-Index: 4

Raja Jurdak
Raja Jurdak

H-Index: 31

Why object detectors fail: Investigating the influence of the dataset

2022

Dimity Miller
Dimity Miller

H-Index: 4

Raja Jurdak
Raja Jurdak

H-Index: 31

Uncertainty for identifying open-set errors in visual object detection

IEEE Robotics and Automation Letters

2021/10/27

Dimity Miller
Dimity Miller

H-Index: 4

Feras Dayoub
Feras Dayoub

H-Index: 17

Epistemic uncertainty estimation for object detection in open-set conditions

2021

Dimity Miller
Dimity Miller

H-Index: 4

Class anchor clustering: A loss for distance-based open set recognition

2021

Dimity Miller
Dimity Miller

H-Index: 4

Feras Dayoub
Feras Dayoub

H-Index: 17

Probabilistic object detection with an ensemble of experts

2020

Dimity Miller
Dimity Miller

H-Index: 4

Probabilistic object detection: Definition and evaluation

2020

See List of Professors in Dimity Miller University(Queensland University of Technology)

Co-Authors

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