Select Publications
By Dr Dong Gong
Conference Papers
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
,2023, 'NPCL: Neural Processes for Uncertainty-Aware Continual Learning', in Advances in Neural Information Processing Systems
,2023, 'RanPAC: Random Projections and Pre-trained Models for Continual Learning', in Advances in Neural Information Processing Systems
,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
,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
,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
,2022, 'Truncated Matrix Power Iteration for Differentiable DAG Learning', in Advances in Neural Information Processing Systems
,2021, 'A Comprehensive CT Dataset for Liver Computer Assisted Diagnosis', in 32nd British Machine Vision Conference, BMVC 2021
,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
,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
,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
,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
,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
,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
,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
,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
,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
,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
,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
,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
,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
,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
,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
,2017, 'MPGL: An efficient matching pursuit method for generalized LASSO', in 31st AAAI Conference on Artificial Intelligence, AAAI 2017, pp. 1934 - 1940
,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
,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
,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
,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
,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
,