Research output per year
Research output per year
Personal profile
Biography
Research interests:
Bionic eye. Computer vision. Biological vision. Biologically inspired vision. Structre and motion recovery.
Bionic eye. Computer vision. Biological vision. Biologically inspired vision. Structre and motion recovery.
Qualifications
B.Sc (hons), PhD (Uni Melb)
Research Interests
Computer vision, Deep learning for computer vision, dense prediction, uncertainty for dense prediction, prosthetic vision.
Research student supervision
- Registered to supervise
Fingerprint
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Collaborations and top research areas from the last five years
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Polarity Loss: Improving Visual-Semantic Alignment for Zero-Shot Detection
Rahman, S., Khan, S. & Barnes, N., Mar 2025, In: IEEE Transactions on Neural Networks and Learning Systems. 36, 3, p. 4066-4078 13 p.Research output: Contribution to journal › Article › peer-review
11 Citations (Scopus) -
Rethinking Polyp Segmentation From An Out-of-distribution Perspective
Ji (Gepeng Ji), G. P., Zhang, J., Campbell, D., Xiong, H. & Barnes, N., 2 Jan 2024, In: Machine Intelligence Research. 21, 4Research output: Contribution to journal › Article › peer-review
Open Access8 Citations (SciVal) -
Self-Calibrating Vicinal Risk Minimisation for Model Calibration
Liu, J., Ye, C., Cui, R. & Barnes, N., 2024, Proceedings - 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2024. IEEE Computer Society, p. 3335-3345 11 p. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition).Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › peer-review
3 Citations (Scopus) -
Inferring the Class Conditional Response Map for Weakly Supervised Semantic Segmentation
Sun, W., Zhang, J. & Barnes, N., 2022, Proceedings - 2022 IEEE/CVF Winter Conference on Applications of Computer Vision, WACV 2022. Institute of Electrical and Electronics Engineers Inc., p. 2653-2662 10 p. (Proceedings - 2022 IEEE/CVF Winter Conference on Applications of Computer Vision, WACV 2022).Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › peer-review
Open Access13 Citations (SciVal) -
Towards an integrated hi-tech solution to detect small fires
Yebra, M., Barnes, N., Bryant, C., Cary, G. J., Durrani, S., Mahony, R., Palethorpe, E., Alvi, S., Stocks, M., Stocks, R., Tridgell, A., Zhou, X. & Wilson, N., Oct 2022, In: Australian Journal of Emergency Management. 37, 4, p. 44-47 4 p.Research output: Contribution to journal › Article › peer-review
7 Citations (Scopus)
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Vicinal learning for model calibration and distribution modelling
Barnes, N. (PI)
30/06/25 → 29/06/28
Project: Research
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WaterNSW: AI smoke detection algorithm trial
Barnes, N. (PI) & Yebra, M. (CoI)
17/06/25 → 16/07/26
Project: Research
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Next Generation Graduates Program - AI Enabled Advanced Materials Technology
Birbilis, N. (PI), Barnard, A. (CoI), Barnes, N. (CoI), Li, H. (CoI), Suominen, H. (CoI), Wang, Q. (CoI) & Zheng, L. (CoI)
1/07/22 → 8/06/28
Project: Research
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Vision processing to support mobile ambulatory research
Barnes, N. (PI)
15/05/20 → 15/08/27
Project: Research
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Computing for Social Good Seed Grants 2023: ANU (Australian National University) bushfire smoke dataset
ZHU, G. (PI), Barnes, N. (CoI), Li, W. (CoI), Wilson, N. (CoI) & Zhou, X. (CoI)
1/01/24 → 31/12/24
Project: Research