By Dr Dong Gong

Conference Papers

Kang X; Han F; Fayjie AR; Vandewalle P; Khoshelham K; Gong D, 2025, 'FocDepthFormer: Transformer with Latent LSTM for Depth Estimation from Focal Stack', in Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, pp. 273 - 290, http://dx.doi.org/10.1007/978-981-96-0348-0_20

Sun Z; Wang J; Tan Z; Dong D; Ma H; Li H; Gong D, 2024, 'EGGen: Image Generation with Multi-entity Prior Learning through Entity Guidance', in Mm 2024 Proceedings of the 32nd ACM International Conference on Multimedia, pp. 6637 - 6645, http://dx.doi.org/10.1145/3664647.3680898

Jha S; Gong D; Yao L, 2024, 'CLAP4CLIP: Continual Learning with Probabilistic Finetuning for Vision-Language Models', in Advances in Neural Information Processing Systems

Liu Y; Zhang Z; Gong D; Gong M; Huang B; van den Hengel A; Zhang K; Shi JQ, 2024, 'IDENTIFIABLE LATENT POLYNOMIAL CAUSAL MODELS THROUGH THE LENS OF CHANGE', in 12th International Conference on Learning Representations Iclr 2024

Lu H; Gong D; Wang S; Xue J; Yao L; Moore K, 2024, 'LEARNING WITH MIXTURE OF PROTOTYPES FOR OUT-OF-DISTRIBUTION DETECTION', in 12th International Conference on Learning Representations Iclr 2024

Xu J; Yin W; Gong D; Jiang J; Liu X, 2024, 'SDGE: Stereo Guided Depth Estimation for 360°Camera Sets', in IEEE International Conference on Intelligent Robots and Systems, pp. 11179 - 11186, http://dx.doi.org/10.1109/IROS58592.2024.10802599

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

Wang J; Sun Z; Qian Y; Gong D; Sun X; Lin M; Pagnucco M; Song Y, 2023, 'MAXIMIZING SPATIO-TEMPORAL ENTROPY OF DEEP 3D CNNS FOR EFFICIENT VIDEO RECOGNITION', in 11th International Conference on Learning Representations Iclr 2023

Jha S; Zhao H; Gong D; Yao L, 2023, 'NPCL: Neural Processes for Uncertainty-Aware Continual Learning', in Advances in Neural Information Processing Systems

McDonnell MD; Gong D; Parveneh A; Abbasnejad E; van den Hengel A, 2023, 'RanPAC: Random Projections and Pre-trained Models for Continual Learning', in Advances in Neural Information Processing Systems

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; Ma S; 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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