By Dr Dong Gong

Journal articles

Yan Q; Fruzangohar M; Taylor J; Gong D; Walter J; Norman A; Shi JQ; Coram T, 2023, 'Improved genomic prediction using machine learning with Variational Bayesian sparsity', Plant Methods, 19, http://dx.doi.org/10.1186/s13007-023-01073-3

Yan Q; Gong D; Wang P; Zhang Z; Zhang Y; Shi JQ, 2023, 'SharpFormer: Learning Local Feature Preserving Global Representations for Image Deblurring', IEEE Transactions on Image Processing, 32, pp. 2857 - 2866, http://dx.doi.org/10.1109/TIP.2023.3251029

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, 126, http://dx.doi.org/10.1016/j.patcog.2022.108577

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, 23, pp. 3048 - 3060, http://dx.doi.org/10.1109/TITS.2020.3030301

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, 122, http://dx.doi.org/10.1016/j.patcog.2021.108342

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, 130, pp. 76 - 94, http://dx.doi.org/10.1007/s11263-021-01535-y

Wang Y; Qi Y; Yao H; Gong D; Wu Q, 2021, 'Image editing with varying intensities of processing', Computer Vision and Image Understanding, 211, http://dx.doi.org/10.1016/j.cviu.2021.103260

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, 117, http://dx.doi.org/10.1016/j.patcog.2021.107924

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, 7, pp. 13 - 24, http://dx.doi.org/10.1109/TBDATA.2021.3056564

Tan M; Hu Z; Yan Y; Cao J; Gong D; Wu Q, 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

Wang Y; Gong D; Yang J; Shi Q; Hengel AVD; Xie D; Zeng B, 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

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, 30, pp. 2947 - 2962, http://dx.doi.org/10.1109/TIP.2021.3049951

Gong D; Zhang Z; Shi Q; Van Den Hengel A; Shen C; Zhang Y, 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

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, 32, pp. 1393 - 1404, http://dx.doi.org/10.1109/TKDE.2019.2904068

Yan Q; Gong D; Zhang Y, 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

Gong D; Tan M; Shi Q; Van Den Hengel A; Zhang Y, 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

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, 28, pp. 1556 - 1570, http://dx.doi.org/10.1109/TIP.2018.2878294

Li R; Sun J; Gong D; Zhu Y; Li H; Zhang Y, 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

Gong D; Li R; Zhu Y; Li H; Sun J; Zhang Y, 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

Li R; Gong D; Yin W; Chen H; Zhu Y; Wang K; Chen X; Sun J; Zhang Y, 2023, 'Learning to Fuse Monocular and Multi-view Cues for Multi-frame Depth Estimation in Dynamic Scenes', in Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp. 21539 - 21548, http://dx.doi.org/10.1109/CVPR52729.2023.02063

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, pp. 823 - 831, http://dx.doi.org/10.1109/CVPRW56347.2022.00098

Yan Q; Gong D; Liu Y; Van Den Hengel A; Shi JQ, 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

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

Zhang Z; Ng I; Gong D; Liu Y; Abbasnejad EM; Gong M; Zhang K; Shi JQ, 2022, 'Truncated Matrix Power Iteration for Differentiable DAG Learning', in Advances in Neural Information Processing Systems

Yan Q; Wang B; Gong D; Zhang D; Yang Y; You Z; Zhang Y; Shi JQ, 2021, 'A Comprehensive CT Dataset for Liver Computer Assisted Diagnosis', in 32nd British Machine Vision Conference, BMVC 2021

Gong D; Zhang Z; Shi JQ; van den Hengel A, 2021, 'Memory-augmented Dynamic Neural Relational Inference', in Proceedings of the IEEE International Conference on Computer Vision, pp. 11823 - 11832, http://dx.doi.org/10.1109/ICCV48922.2021.01163

Xu HM; Liu L; Gong D, 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

He T; Gong D; Tian Z; Shen C, 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

Gong D; Liu L; Le V; Saha B; Mansour MR; Venkatesh S; Van Den Hengel A, 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

Li R; Gong D; Sun J; Zhu Y; Wei Z; Zhang Y, 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

Yan Q; Gong D; Shi Q; Van Den Hengel A; Shen C; Reid I; Zhang Y, 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

He T; Shen C; Tian Z; Gong D; Sun C; Yan Y, 2019, 'Knowledge adaptation for efficient semantic segmentation', in Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp. 578 - 587, http://dx.doi.org/10.1109/CVPR.2019.00067

Li J; Liu Y; Gong D; Shi Q; Yuan X; Zhao C; Reid I, 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

Liu Y; Dong W; Zhang L; Gong D; Shi Q, 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

Snaauw G; Gong D; Maicas G; Hengel AVD; Niessen WJ; Verjans J; Carneiro G, 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

Yan Q; Gong D; Zhang P; Shi Q; Sun J; Reid I; Zhang Y, 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

Liu Y; Dong W; Gong D; Zhang L; Shi Q, 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

Yang J; Gong D; Liu L; Shi Q, 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

Gong D; Tan M; Zhang Y; Hengel AVD; Shi Q, 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

Gong D; Yang J; Liu L; Zhang Y; Reid I; Shen C; Van Den Hengel A; Shi Q, 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

Gong D; Tan M; Zhang Y; Van Den Hengel A; Shi Q, 2017, 'MPGL: An efficient matching pursuit method for generalized LASSO', in 31st AAAI Conference on Artificial Intelligence, AAAI 2017, pp. 1934 - 1940

Gong D; Tan M; Zhang Y; Hengel AVD; Shi Q, 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

Li H; Zhang Y; Sun J; Gong D, 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

Ding W; Gong D; Zhang Y; He Y, 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

Dang S; Zhang Y; Gong D, 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

Gong D; Zhang Y; Dang S; Sun J, 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

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