Projects per year
Personal profile
Biography
Dr. Qiuhong Ke is an ARC DECRA Fellow and a Senior Lecturer at the Faculty of Information Technology, Monash University. Previously, she was a Postdoctoral Researcher at Max Planck Institute for Informatics from 2018 to 2019 and a Lecturer at The University of Melbourne from 2020 to 2022. She was awarded the prestigious International Postgraduate Research Scholarship for doctoral studies in 2015 and received her PhD degree from The University of Western Australia in 2018. Her thesis “Deep Learning for Action Recognition and Prediction” has been awarded Dean’s List-Honourable mention by The University of Western Australia in 2018. She was awarded the 1962 Medal for her work in video recognition technology by the Australian Computer Society in 2019, and APRS Early Career Researcher Award from Australian Pattern Recognition Society in 2020. Her main research topics include human action understanding and video analysis.
Education/Academic qualification
Computer Science, PhD, Deep Learning for Action Recognition and Prediction, University of Western Australia
16 Feb 2015 → 20 Apr 2018
Award Date: 27 Aug 2018
External positions
Honorary Fellow, University of Melbourne
1 Sept 2022 → 31 Aug 2025
Research area keywords
- Computer Vision
- Machine Learning
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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NIP R4: Towards Automated, Generalised and Flexible Bone and Joint Measurements
Ke, Q. (Primary Chief Investigator (PCI)), Peng, Y. (Supervisor) & Tran, K. (Chief Investigator (CI))
Department of Education (Australia), CurveBeam AI Limited
22/05/25 → 29/04/29
Project: Research
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Generative Models for Generalised Skeleton-based Human Action Recognition
Ke, Q. (Primary Chief Investigator (PCI))
ARC - Australian Research Council
1/01/25 → 31/12/27
Project: Research
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TMLGenAI: Trustworthy Generative AI: Towards Safe and Aligned Foundation Models
Phung, D. (Primary Chief Investigator (PCI)), Vu, T. (Chief Investigator (CI)), Qu, L. (Chief Investigator (CI)), Le, T. (Chief Investigator (CI)), Haffari, R. (Chief Investigator (CI)), Webb, G. (Chief Investigator (CI)), Nicholson, A. (Chief Investigator (CI)), Ke, Q. (Chief Investigator (CI)), Cai, J. (Chief Investigator (CI)) & Bui, T. (Chief Investigator (CI))
11/06/24 → 10/07/26
Project: Research
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Automatic Image Processing : Automatic Image Processing and Understanding Based on Deep Learning
Ke, Q. (Primary Chief Investigator (PCI))
4/09/23 → 29/03/25
Project: Research
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Harnessing Text-to-Image Diffusion Models for Category-Agnostic Pose Estimation
Peng, D., Zhang, Z., Hu, P., Ke, Q., K. Y. Yau, D. & Liu, J., 2025, Computer Vision – ECCV 2024, 18th European Conference Milan, Italy, September 29–October 4, 2024 Proceedings, Part XIII. Leonardis, A., Ricci, E., Roth, S., Russakovsky, O., Sattler, T. & Varol, G. (eds.). Cham Switzerland: Springer, p. 342–360 19 p.Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review
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Amodal intra-class instance segmentation: Synthetic datasets and benchmark
Ao, J., Ke, Q. & Ehinger, K. A., 2024, Proceedings - 2024 IEEE Winter Conference on Applications of Computer Vision, WACV 2024. Mortensen, E. (ed.). Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers, p. 280-289 10 p.Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review
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Causal discovery with mixed linear and nonlinear additive noise models: A scalable approach
Liu, W., Huang, B., Gao, E., Ke, Q., Bondell, H. & Gong, M., 2024, Proceedings of the Third Conference on Causal Learning and Reasoning. Locatello, F. & Didelez, V. (eds.). London UK: Proceedings of Machine Learning Research (PMLR), Vol. 236. p. 1237-1263 27 p.Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review
Open AccessFile1 Citation (Scopus) -
DCDiff: Dual-Domain Conditional Diffusion for CT Metal Artifact Reduction
Shen, R., Li, X., Li, Y.-F., Sui, C., Peng, Y. & Ke, Q., 2024, Medical Image Computing and Computer Assisted Intervention – MICCAI 2024, 27th International Conference Marrakesh, Morocco, October 6–10, 2024 Proceedings, Part VII. Linguraru, M. G., Dou, Q., Feragen, A., Giannarou, S., Glocker, B., Lekadir, K. & Schnabel, J. A. (eds.). Cham Switzerland: Springer, p. 223-232 10 p. (Lecture Notes in Computer Science; vol. 15007).Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review
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Learning transferable representations for image anomaly localization using dense pretraining
He, H., Erfani, S., Gong, M. & Ke, Q., 2024, Proceedings - 2024 IEEE Winter Conference on Applications of Computer Vision, WACV 2024. Mortensen, E. (ed.). Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers, p. 1102-1111 10 p.Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review
4 Citations (Scopus)
Prizes
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Australian Computer Society 1962 Medal
Ke, Q. (Recipient), 2019
Prize: Prize (including medals and awards)
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IEEE Transactions on Multimedia Outstanding Reviewer Award
Ke, Q. (Recipient), 2021
Prize: Prize (including medals and awards)
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Women Leading Tech Awards (Education/Research)
Ke, Q. (Recipient), 2024
Prize: Prize (including medals and awards)