Dr Dong Gong
Lecturer

Dr Dong Gong

Engineering
Computer Science and Engineering

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

Dr Dong Gong is a Lecturer and ARC DECRA Fellow 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:

  • machine learning with non-ideal supervision in real-world scenarios, e.g.,
    • continual learning
    • unsupervised/semi-supervised/domain-adaptive learning
  • 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
  • interdisciplinary problems
Location
Level 4, Building K17
  • Journal articles | 2022
    2022, 'Dual-Attention-Guided Network for Ghost-Free High Dynamic Range Imaging', International Journal of Computer Vision, 130, pp. 76 - 94, http://dx.doi.org/10.1007/s11263-021-01535-y
    Journal articles | 2022
    2022, 'High dynamic range imaging via gradient-aware context aggregation network', Pattern Recognition, 122, pp. 108342 - 108342, http://dx.doi.org/10.1016/j.patcog.2021.108342
    Journal articles | 2022
    2022, 'Part-Guided Attention Learning for Vehicle Instance Retrieval', IEEE Transactions on Intelligent Transportation Systems, 23, pp. 3048 - 3060, http://dx.doi.org/10.1109/TITS.2020.3030301
    Journal articles | 2022
    2022, 'Video super-resolution via mixed spatial-temporal convolution and selective fusion', Pattern Recognition, 126, http://dx.doi.org/10.1016/j.patcog.2022.108577
    Journal articles | 2021
    2021, 'Boundarymix: Generating pseudo-training images for improving segmentation with scribble annotations', Pattern Recognition, 117, pp. 107924 - 107924, http://dx.doi.org/10.1016/j.patcog.2021.107924
    Journal articles | 2021
    2021, 'COVID-19 Chest CT image segmentation network by multi-scale fusion and enhancement operations', IEEE Transactions on Big Data, 7, pp. 13 - 24, http://dx.doi.org/10.1109/TBDATA.2021.3056564
    Journal articles | 2021
    2021, 'Deep Single Image Deraining via Modeling Haze-Like Effect', IEEE Transactions on Multimedia, 23, pp. 2481 - 2492, http://dx.doi.org/10.1109/TMM.2020.3013383
    Journal articles | 2021
    2021, 'Image editing with varying intensities of processing', Computer Vision and Image Understanding, 211, pp. 103260 - 103260, http://dx.doi.org/10.1016/j.cviu.2021.103260
    Journal articles | 2021
    2021, 'Learning Sparse PCA with Stabilized ADMM Method on Stiefel Manifold', IEEE Transactions on Knowledge and Data Engineering, 33, pp. 1078 - 1088, http://dx.doi.org/10.1109/TKDE.2019.2935449
    Journal articles | 2021
    2021, 'Learning to Zoom-In via Learning to Zoom-Out: Real-World Super-Resolution by Generating and Adapting Degradation', IEEE Transactions on Image Processing, 30, pp. 2947 - 2962, http://dx.doi.org/10.1109/TIP.2021.3049951
    Journal articles | 2020
    2020, 'Learning Deep Gradient Descent Optimization for Image Deconvolution', IEEE Transactions on Neural Networks and Learning Systems, 31, pp. 5468 - 5482, http://dx.doi.org/10.1109/TNNLS.2020.2968289
    Journal articles | 2020
    2020, 'Learning Distilled Graph for Large-Scale Social Network Data Clustering', IEEE Transactions on Knowledge and Data Engineering, 32, pp. 1393 - 1404, http://dx.doi.org/10.1109/TKDE.2019.2904068
    Journal articles | 2019
    2019, 'ARSAC: Efficient model estimation via adaptively ranked sample consensus', Neurocomputing, 328, pp. 88 - 96, http://dx.doi.org/10.1016/j.neucom.2018.02.103
    Journal articles | 2019
    2019, 'An adaptive markov random field for structured compressive sensing', IEEE Transactions on Image Processing, 28, pp. 1556 - 1570, http://dx.doi.org/10.1109/TIP.2018.2878294
    Journal articles | 2019
    2019, 'MPTV: Matching pursuit-based total variation minimization for image deconvolution', IEEE Transactions on Image Processing, 28, pp. 1851 - 1865, http://dx.doi.org/10.1109/TIP.2018.2875352
    Journal articles | 2019
    2019, 'Two-Stream Convolutional Networks for Blind Image Quality Assessment', IEEE Transactions on Image Processing, 28, pp. 2200 - 2211, http://dx.doi.org/10.1109/TIP.2018.2883741
    Journal articles | 2018
    2018, 'Blind image deblurring by promoting group sparsity', Neurocomputing, 310, pp. 190 - 200, http://dx.doi.org/10.1016/j.neucom.2018.05.025
  • Conference Papers | 2022
    Perez-Pellitero E; Catley-Chandar S; Shaw R; Leonardis A; Timofte R; Zhang Z; Liu C; Peng Y; Lin Y; Yu G; Zhang J; Ma Z; Wang H; Chen X; Wang X; Wu H; Liu L; Dong C; Zhou J; Yan Q; Zhang S; Chen W; Liu Y; Zhang Z; Zhang Y; Shi JQ; Gong D; Zhu D; Sun M; Chen G; Hu Y; Li H; Zou B; Liu Z; Lin W; Jiang T; Jiang C; Li X; Han M; Fan H; Sun J; Liu S; Marin-Vega J; Sloth M; Schneider-Kamp P; Rottger R; Li C; Bao L; He G; Xu Z; Xu L; Zhan G; Sun M; Wen X; Li J; Li J; Li C; Gang R; Li F; Liu C; Feng S; Lei F; Liu R; Ruan J; Dai T; Li W; Lu Z; Liu H; Huang P; Ren G; Luo Y; Liu C; Tu Q; Li F; Gang R; Li C; Li J; Ma S; Liu C; Cao Y; Tel S; Heyrman B; Ginhac D; Lee C; Kim G; Park S; Vien AG; Thanh Nhat Mai T; Yoon H; Vo T; Holston A; Zaheer S; Park CY, 2022, 'NTIRE 2022 Challenge on High Dynamic Range Imaging: Methods and Results', in IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, pp. 1008 - 1022, http://dx.doi.org/10.1109/CVPRW56347.2022.00114
    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 | 2022
    2022, 'Learning Bayesian Sparse Networks with Full Experience Replay for Continual Learning', in Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp. 109 - 118, http://dx.doi.org/10.1109/CVPR52688.2022.00021
    Conference Papers | 2021
    2021, 'Memory-augmented Dynamic Neural Relational Inference', in Proceedings of the IEEE International Conference on Computer Vision, IEEE, pp. 11823 - 11832, 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
    Conference Papers | 2021
    2021, 'Semi-supervised Learning via Conditional Rotation Angle Estimation', in DICTA 2021 - 2021 International Conference on Digital Image Computing: Techniques and Applications, http://dx.doi.org/10.1109/DICTA52665.2021.9647327
    Conference Papers | 2020
    2020, 'Learning and Memorizing Representative Prototypes for 3D Point Cloud Semantic and Instance Segmentation', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 564 - 580, http://dx.doi.org/10.1007/978-3-030-58523-5_33
    Conference Papers | 2019
    2019, 'Attention-guided network for ghost-free high dynamic range imaging', in Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp. 1751 - 1760, http://dx.doi.org/10.1109/CVPR.2019.00185
    Conference Papers | 2019
    2019, 'End-to-end diagnosis and segmentation learning from cardiac magnetic resonance imaging', in Proceedings - International Symposium on Biomedical Imaging, pp. 802 - 805, http://dx.doi.org/10.1109/ISBI.2019.8759276
    Conference Papers | 2019
    2019, 'Knowledge adaptation for efficient semantic segmentation', in Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, IEEE COMPUTER SOC, Long Beach, CA, pp. 578 - 587, presented at 32nd IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Long Beach, CA, 16 June 2019 - 20 June 2019, http://dx.doi.org/10.1109/CVPR.2019.00067
    Conference Papers | 2019
    2019, 'Memorizing normality to detect anomaly: Memory-augmented deep autoencoder for unsupervised anomaly detection', in Proceedings of the IEEE International Conference on Computer Vision, pp. 1705 - 1714, http://dx.doi.org/10.1109/ICCV.2019.00179
    Conference Papers | 2019
    2019, 'Multi-scale dense networks for deep high dynamic range imaging', in Proceedings - 2019 IEEE Winter Conference on Applications of Computer Vision, WACV 2019, pp. 41 - 50, http://dx.doi.org/10.1109/WACV.2019.00012
    Conference Papers | 2019
    2019, 'RGBD based dimensional decomposition residual network for 3D semantic scene completion', in Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp. 7685 - 7694, http://dx.doi.org/10.1109/CVPR.2019.00788
    Conference Papers | 2019
    2019, 'Robust and Accurate Hybrid Structure-From-Moti', in Proceedings - International Conference on Image Processing, ICIP, pp. 494 - 498, http://dx.doi.org/10.1109/ICIP.2019.8803814
    Conference Papers | 2019
    2019, 'Variational bayesian dropout with a hierarchical prior', in Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp. 7117 - 7126, http://dx.doi.org/10.1109/CVPR.2019.00729
    Conference Papers | 2018
    2018, 'Deblurring Natural Image Using Super-Gaussian Fields', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 467 - 484, http://dx.doi.org/10.1007/978-3-030-01246-5_28
    Conference Papers | 2018
    2018, 'Seeing Deeply and Bidirectionally: A Deep Learning Approach for Single Image Reflection Removal', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 675 - 691, http://dx.doi.org/10.1007/978-3-030-01219-9_40
    Conference Papers | 2017
    2017, 'From motion blur to motion flow: A deep learning solution for removing heterogeneous motion blur', in Proceedings - 30th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2017, pp. 3806 - 3815, http://dx.doi.org/10.1109/CVPR.2017.405
    Conference Papers | 2017
    2017, 'MPGL: An efficient matching pursuit method for generalized LASSO', in 31st AAAI Conference on Artificial Intelligence, AAAI 2017, pp. 1934 - 1940
    Conference Papers | 2017
    2017, 'Self-Paced Kernel Estimation for Robust Blind Image Deblurring', in Proceedings of the IEEE International Conference on Computer Vision, pp. 1670 - 1679, http://dx.doi.org/10.1109/ICCV.2017.184
    Conference Papers | 2016
    2016, 'Blind Image Deconvolution by Automatic Gradient Activation', in Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp. 1827 - 1836, http://dx.doi.org/10.1109/CVPR.2016.202
    Conference Papers | 2014
    2014, 'Centroid estimation based on MSER detection and Gaussian Mixture Model', in International Conference on Signal Processing Proceedings, ICSP, pp. 774 - 779, http://dx.doi.org/10.1109/ICOSP.2014.7015109
    Conference Papers | 2014
    2014, 'Joint motion deblurring with blurred/noisy image pair', in Proceedings - International Conference on Pattern Recognition, pp. 1020 - 1024, http://dx.doi.org/10.1109/ICPR.2014.185
    Conference Papers | 2013
    2013, 'A patch-based non-local means method for image denoising', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 582 - 589, http://dx.doi.org/10.1007/978-3-642-36669-7_71
    Conference Papers | 2013
    2013, 'Neighbor combination for atmospheric turbulence image reconstruction', in 2013 IEEE International Conference on Image Processing, ICIP 2013 - Proceedings, pp. 1361 - 1365, http://dx.doi.org/10.1109/ICIP.2013.6738280