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

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