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Dr Anan Du

Dr Anan Du

Research Fellow
UNSW Canberra
School of Eng & Tech

I received my PhD degree from the University of Technology Sydney in 2023. I am currently a Postdoctoral Research Fellow working with Dr Maryam Ghodrat and Prof. Jason Sharples, working on developing deep learning models for wildfire spread prediction. My research interests include deep learning, 2D- and 3D- scene understanding and weakly-supervised learning.
Mobile
+61 452281105
E-mail
anan.du@unsw.edu.au
Location
Room G01, Building 15, School of Engineering and Technology (SET), UNSW Canberra
  • Journal articles | 2023
    Pang S; Du A; Orgun MA; Wang Y; Sheng QZ; Wang S; Huang X; Yu Z, 2023, 'Beyond CNNs: Exploiting Further Inherent Symmetries in Medical Image Segmentation', IEEE Transactions on Cybernetics, 53, pp. 6776 - 6787, http://dx.doi.org/10.1109/TCYB.2022.3195447
    Journal articles | 2022
    Pang S; Du A; Yu Z; Orgun MA, 2022, '2D medical image segmentation via learning multi-scale contextual dependencies', Methods, 202, pp. 40 - 53, http://dx.doi.org/10.1016/j.ymeth.2021.05.015
    Journal articles | 2020
    Pang S; Du A; Orgun MA; Chen H, 2020, 'Weakly supervised learning for image keypoint matching using graph convolutional networks', Knowledge-Based Systems, 197, http://dx.doi.org/10.1016/j.knosys.2020.105871
  • Conference Papers | 2023
    Hu J; He Y; Zhang W; Pang S; Ma R; Du A, 2023, 'A Multimodal Adversarial Database: Towards A Comprehensive Assessment of Adversarial Attacks and Defenses on Medical Images', in 2023 IEEE 10th International Conference on Data Science and Advanced Analytics, DSAA 2023 - Proceedings, http://dx.doi.org/10.1109/DSAA60987.2023.10302594
    Conference Papers | 2020
    Du A; Pang S; Huang X; Zhang J; Wu Q, 2020, 'Exploring Long-Short-Term Context for Point Cloud Semantic Segmentation', in Proceedings - International Conference on Image Processing, ICIP, pp. 2755 - 2759, http://dx.doi.org/10.1109/ICIP40778.2020.9191333
    Conference Papers | 2020
    Pang S; Du A; Yu Z; Orgun MA, 2020, 'Correlation Matters: Multi-scale Fine-Grained Contextual Information Extraction for Hepatic Tumor Segmentation', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 462 - 474, http://dx.doi.org/10.1007/978-3-030-47426-3_36
    Conference Papers | 2020
    Yu Z; Pang S; Du A; Orgun MA; Wang Y; Lin H, 2020, 'Fine-grained tumor segmentation on computed tomography slices by leveraging bottom-up and top-down strategies', in Progress in Biomedical Optics and Imaging - Proceedings of SPIE, http://dx.doi.org/10.1117/12.2550511
    Conference Papers | 2019
    Du A; Huang X; Zhang J; Yao L; Wu Q, 2019, 'KPSNET: KEYPOINT DETECTION AND FEATURE EXTRACTION FOR POINT CLOUD REGISTRATION', in 2019 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP), IEEE, TAIWAN, Taipei, pp. 2576 - 2580, presented at 26th IEEE International Conference on Image Processing (ICIP), TAIWAN, Taipei, 22 September 2019 - 25 September 2019, https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000521828602144&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=891bb5ab6ba270e68a29b250adbe88d1