Dimity Miller
Impact in
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- Advanced Neural Network Applications
- Advanced Image and Video Retrieval Techniques
- Video Surveillance and Tracking Methods
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- Domain Adaptation and Few-Shot Learning
- Anomaly Detection Techniques and Applications
- Adversarial Robustness in Machine Learning
- Machine Learning and ELM
Papers in
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- Advanced Neural Network Applications 8
- Advanced Image and Video Retrieval Techniques 3
- Multimodal Machine Learning Applications 2
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- Adversarial Robustness in Machine Learning 9
- Domain Adaptation and Few-Shot Learning 7
- Anomaly Detection Techniques and Applications 5
- Machine Learning and Data Classification 1
- Co-authors
- Niko Sünderhauf (9 shared papers)Feras Dayoub (7 shared papers)Michael John Milford (3 shared papers)Jad Abou-Chakra (1 shared paper)Tobias Fischer (1 shared paper)Samuel H. Wilson (1 shared paper)David R. Hall (2 shared papers)Haoyang Zhang (2 shared papers)
- Journals
- IEEE Transactions on Intelligent Transportation Systems (1 paper)IEEE Robotics and Automation Letters (1 paper)Lecture notes in computer science (2 papers)ASPC (1 paper)Discover Internet of Things (1 paper)
- Partner nations
- AustraliaUnited States
In The Last Decade
Dimity Miller
18 papers receiving 230 citations
Peers
Comparison fields: 5 of 67
- Computer Vision and Pattern Recognition 104
- Artificial Intelligence 113
- Computer Graphics and Computer-Aided Design 7
- Aerospace Engineering 41
- Instrumentation 5
Countries citing papers authored by Dimity Miller
This map shows the geographic impact of Dimity Miller's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Dimity Miller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dimity Miller more than expected).
Fields of papers citing papers by Dimity Miller
This network shows the impact of papers produced by Dimity Miller. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Dimity Miller. The network helps show where Dimity Miller may publish in the future.
Co-authors
The 25 scholars most cited alongside Dimity Miller, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 108 | |
| 2 | 2023 | 38 | |
| 3 | 2023 | 24 | |
| 4 | Benchmarking Sampling-based Probabilistic Object Detectors. | 2019 | 15 |
| 5 | 2020 | 9 | |
| 6 | 2024 | 8 | |
| 7 | 2022 | 7 | |
| 8 | 2018 | 6 | |
| 9 | 2019 | 6 | |
| 10 | 2023 | 3 | |
| 11 | Novel Approaches to Semi-supervised and Unsupervised Learning | 2003 | 2 |
| 12 | Side Object Detection System Evaluation: Final Evaluation Report | 2008 | 2 |
| 13 | 2020 | 2 | |
| 14 | 2021 | 2 | |
| 15 | 2024 | 2 | |
| 16 | 2024 | 2 | |
| 17 | 2024 | 1 | |
| 18 | 2024 | 1 | |
| 19 | 2025 | 0 |
About Dimity Miller
Dimity Miller is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Biophysics, Control and Systems Engineering and Safety, Risk, Reliability and Quality, having authored 19 papers that have together received 238 indexed citations. Recurring topics across this work include Adversarial Robustness in Machine Learning (9 papers), Advanced Neural Network Applications (8 papers), Domain Adaptation and Few-Shot Learning (7 papers), Anomaly Detection Techniques and Applications (5 papers), Advanced Image and Video Retrieval Techniques (3 papers), Multimodal Machine Learning Applications (2 papers), Machine Learning and Data Classification (1 paper) and Advanced Battery Technologies Research (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (104 citations), Artificial Intelligence (113 citations), Computer Graphics and Computer-Aided Design (7 citations), Aerospace Engineering (41 citations) and Instrumentation (5 citations). Dimity Miller has collaborated with scholars based in Australia and United States. Frequent co-authors include Niko Sünderhauf, Feras Dayoub, Michael John Milford, Jad Abou-Chakra, Tobias Fischer, Samuel H. Wilson, David R. Hall, Haoyang Zhang, Niko Suenderhauf and Lachlan Nicholson. Their work appears in journals such as IEEE Transactions on Intelligent Transportation Systems, IEEE Robotics and Automation Letters, Lecture notes in computer science, ASPC and Discover Internet of Things.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.