| Memorizing normality to detect anomaly: Memory-augmented deep autoencoder for unsupervised anomaly detection D Gong, L Liu, V Le, B Saha, MR Mansour, S Venkatesh, A Hengel Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 875 | 2019 |
| From Motion Blur to Motion Flow: a Deep Learning Solution for Removing Heterogeneous Motion Blur D Gong, J Yang, L Liu, Y Zhang, I Reid, C Shen, A van den Hengel, Q Shi IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017 | 368 | 2017 |
| From Motion Blur to Motion Flow: a Deep Learning Solution for Removing Heterogeneous Motion Blur D Gong, J Yang, L Liu, Y Zhang, I Reid, C Shen, A van den Hengel, Q Shi arXiv preprint arXiv:1612.02583, 2016 | 368 | 2016 |
| COVID-19 chest CT image segmentation network by multi-scale fusion and enhancement operations Q Yan, B Wang, D Gong, C Luo, W Zhao, J Shen, J Ai, Q Shi, Y Zhang, ... IEEE transactions on big data 7 (1), 13-24, 2021 | 196* | 2021 |
| Attention-guided network for ghost-free high dynamic range imaging Q Yan, D Gong, Q Shi, A Hengel, C Shen, I Reid, Y Zhang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 192 | 2019 |
| Knowledge adaptation for efficient semantic segmentation T He, C Shen, Z Tian, D Gong, C Sun, Y Yan Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 186 | 2019 |
| Seeing deeply and bidirectionally: A deep learning approach for single image reflection removal J Yang, D Gong, L Liu, Q Shi Proceedings of the european conference on computer vision (ECCV), 654-669, 2018 | 131 | 2018 |
| Two-stream convolutional networks for blind image quality assessment Q Yan, D Gong, Y Zhang IEEE Transactions on Image Processing 28 (5), 2200-2211, 2018 | 125 | 2018 |
| Learning Deep Gradient Descent Optimization for Image Deconvolution D Gong, Z Zhang, Q Shi, A van den Hengel, C Shen, Y Zhang IEEE transactions on neural networks and learning systems, 2020 | 82* | 2020 |
| Blind Image Deconvolution by Automatic Gradient Activation D Gong, M Tan, Y Zhang, A van den Hengel, Q Shi The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 1827-1836, 2016 | 79 | 2016 |
| Part-guided attention learning for vehicle instance retrieval X Zhang, R Zhang, J Cao, D Gong, M You, C Shen IEEE Transactions on Intelligent Transportation Systems 23 (4), 3048-3060, 2020 | 64* | 2020 |
| Multi-scale dense networks for deep high dynamic range imaging Q Yan, D Gong, P Zhang, Q Shi, J Sun, I Reid, Y Zhang 2019 IEEE Winter Conference on Applications of Computer Vision (WACV), 41-50, 2019 | 58 | 2019 |
| Rgbd based dimensional decomposition residual network for 3d semantic scene completion J Li, Y Liu, D Gong, Q Shi, X Yuan, C Zhao, I Reid Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 47 | 2019 |
| Learning and memorizing representative prototypes for 3d point cloud semantic and instance segmentation T He, D Gong, Z Tian, C Shen Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 32 | 2020 |
| Self-paced Kernel Estimation for Robust Blind Image Deblurring D Gong, M Tan, Y Zhang, A van den Hengel, Q Shi IEEE International Conference on Computer Vision (ICCV), 2017 | 31 | 2017 |
| Deep single image deraining via modeling haze-like effect Y Wang, D Gong, J Yang, Q Shi, D Xie, B Zeng IEEE Transactions on Multimedia 23, 2481-2492, 2020 | 26* | 2020 |
| Deblurring natural image using super-Gaussian fields Y Liu, W Dong, D Gong, L Zhang, Q Shi Proceedings of the European Conference on Computer Vision (ECCV), 452-468, 2018 | 26 | 2018 |
| NTIRE 2022 challenge on high dynamic range imaging: Methods and results E Pérez-Pellitero, S Catley-Chandar, R Shaw, A Leonardis, R Timofte, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 25 | 2022 |
| Learning to zoom-in via learning to zoom-out: Real-world super-resolution by generating and adapting degradation W Sun, D Gong, Q Shi, A van den Hengel, Y Zhang IEEE Transactions on Image Processing 30, 2947-2962, 2021 | 21 | 2021 |
| MPTV: Matching pursuit-based total variation minimization for image deconvolution D Gong, M Tan, Q Shi, A van den Hengel, Y Zhang IEEE Transactions on Image Processing 28 (4), 1851-1865, 2018 | 20 | 2018 |
Professor Javen Qinfeng ShiDirector for Probabilistic Graphical Model Group, University of AdelaideVerified email at adelaide.edu.au
