Dr Dong Gong

Dr Dong Gong

Computer Science and Engineering

Dr Dong Gong is a Lecturer in the School of Computer Science and Engineering. He is also an Adjunct Lecturer with the Australian Institute for Machine Learning (AIML) of The University of Adelaide. Befor joining UNSW, he was a Research Fellow at Australian Institute for Machine Learning (AIML), a Principal Researcher at Centre for Augmented Reasoning (CAR), The University of Adelaide. 

His research area is in Computer Vision, Machine Learning, Deep Learning, Image Restoration, and Artificial Intelligence. He has been actively publising in the top venues, including CVPR, ICCV, ECCV, AAAI, IJCV, TIP, etc. He is focusing on developing generalizable, realiable, and efficient computer vision (CV) and machine learning (ML) approaches for the applciations in real-world scenarios. 

His current research topics include:

  • low/high-level computer vision:
    • image restoration, e.g., deblurring/deconvolution, super-resolution, high dynamic range imaging, etc.
    • image/video understanding
    • 3D scene reconstruction and understanding
  • deep learning
    • memory-augmented deep learning
    • deep learning with sparsity/optimization
    • novelty/outlier/anomaly detection
    • neural relational inference
  • learning with low/non-ideal supervision
    • continual learning
    • domain-adaptive learning
    • unsupervised/semi-supervised learning
  • interdisciplinary problems

Personal website - https://donggong1.github.io/

Level 4, Building K17
  • Journal articles | 2022
    Sun W; Gong D; Shi JQ; van den Hengel A; Zhang Y, 2022, 'Video super-resolution via mixed spatial-temporal convolution and selective fusion', Pattern Recognition, vol. 126, http://dx.doi.org/10.1016/j.patcog.2022.108577
    Journal articles | 2022
    Yan Q; Gong D; Shi JQ; den Hengel AV; Sun J; Zhu Y; Zhang Y, 2022, 'High dynamic range imaging via gradient-aware context aggregation network', Pattern Recognition, vol. 122, pp. 108342 - 108342, http://dx.doi.org/10.1016/j.patcog.2021.108342
    Journal articles | 2022
    Yan Q; Gong D; Shi JQ; van den Hengel A; Shen C; Reid I; Zhang Y, 2022, 'Dual-Attention-Guided Network for Ghost-Free High Dynamic Range Imaging', International Journal of Computer Vision, vol. 130, pp. 76 - 94, http://dx.doi.org/10.1007/s11263-021-01535-y
    Journal articles | 2022
    Zhang X; Zhang R; Cao J; Gong D; You M; Shen C, 2022, 'Part-Guided Attention Learning for Vehicle Instance Retrieval', IEEE Transactions on Intelligent Transportation Systems, vol. 23, pp. 3048 - 3060, http://dx.doi.org/10.1109/tits.2020.3030301
    Journal articles | 2021
    Lu W; Gong D; Fu K; Sun X; Diao W; Liu L, 2021, 'Boundarymix: Generating pseudo-training images for improving segmentation with scribble annotations', Pattern Recognition, vol. 117, pp. 107924 - 107924, http://dx.doi.org/10.1016/j.patcog.2021.107924
    Journal articles | 2021
    Sun W; Gong D; Shi Q; van den Hengel A; Zhang Y, 2021, 'Learning to Zoom-In via Learning to Zoom-Out: Real-World Super-Resolution by Generating and Adapting Degradation', IEEE Transactions on Image Processing, vol. 30, pp. 2947 - 2962, http://dx.doi.org/10.1109/tip.2021.3049951
    Journal articles | 2021
    Wang Y; Qi Y; Yao H; Gong D; Wu Q, 2021, 'Image editing with varying intensities of processing', Computer Vision and Image Understanding, vol. 211, pp. 103260 - 103260, http://dx.doi.org/10.1016/j.cviu.2021.103260
    Journal articles | 2021
    Yan Q; Wang B; Gong D; Luo C; Zhao W; Shen J; Ai J; Shi Q; Zhang Y; Jin S; Zhang L; You Z, 2021, 'COVID-19 Chest CT Image Segmentation Network by Multi-Scale Fusion and Enhancement Operations', IEEE Transactions on Big Data, vol. 7, pp. 13 - 24, http://dx.doi.org/10.1109/tbdata.2021.3056564
    Journal articles | 2020
    Liu W; Gong D; Tan M; Shi JQ; Yang Y; Hauptmann AG, 2020, 'Learning Distilled Graph for Large-Scale Social Network Data Clustering', IEEE Transactions on Knowledge and Data Engineering, vol. 32, pp. 1393 - 1404, http://dx.doi.org/10.1109/TKDE.2019.2904068
    Journal articles | 2019
    Suwanwimolkul S; Zhang L; Gong D; Zhang Z; Chen C; Ranasinghe DC; Qinfeng Shi J, 2019, 'An adaptive markov random field for structured compressive sensing', IEEE Transactions on Image Processing, vol. 28, pp. 1556 - 1570, http://dx.doi.org/10.1109/TIP.2018.2878294
  • Conference Papers | 2022
    Yan Q; Zhang S; Chen W; Liu Y; Zhang Z; Zhang Y; Shi JQ; Gong D, 2022, 'A Lightweight Network for High Dynamic Range Imaging', in IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, IEEE, pp. 823 - 831, presented at 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 19 June 2022 - 20 June 2022, http://dx.doi.org/10.1109/CVPRW56347.2022.00098
    Conference Papers | 2021
    Gong D; Zhang Z; Shi JQ; Van Den Hengel A, 2021, 'Memory-augmented Dynamic Neural Relational Inference', in 2021 IEEE/CVF International Conference on Computer Vision (ICCV), IEEE, presented at 2021 IEEE/CVF International Conference on Computer Vision (ICCV), 10 October 2021 - 17 October 2021, http://dx.doi.org/10.1109/iccv48922.2021.01163