Dong Gong
TitleCited byYear
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
862017
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
862016
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
452016
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
202018
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
112017
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
82018
Learning an optimizer for image deconvolution
D Gong, Z Zhang, Q Shi, A Hengel, C Shen, Y Zhang
arXiv preprint arXiv:1804.03368, 2018
82018
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
72018
MPGL: An Efficient Matching Pursuit Method for Generalized LASSO
D Gong, M Tan, Y Zhang, A van den Hengel, Q Shi
AAAI Conference on Artificial Intelligence, 2017
72017
Joint motion deblurring with blurred/noisy image pair
H Li, Y Zhang, J Sun, D Gong
2014 22nd International Conference on Pattern Recognition, 1020-1024, 2014
72014
Knowledge Adaptation for Efficient Semantic Segmentation
T He, C Shen, Z Tian, D Gong, C Sun, Y Yan
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019
52019
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
52018
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
arXiv preprint arXiv:1904.02639, 2019
42019
Regularizing proxies with multi-adversarial training for unsupervised domain-adaptive semantic segmentation
T Shen, D Gong, W Zhang, C Shen, T Mei
arXiv preprint arXiv:1907.12282, 2019
32019
ARSAC: Efficient model estimation via adaptively ranked sample consensus
R Li, J Sun, D Gong, Y Zhu, H Li, Y Zhang
Neurocomputing 328, 88-96, 2019
32019
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 Conference on Computer Vision and Pattern …, 2019
32019
Centroid estimation based on MSER detection and gaussian mixture model
W Ding, D Gong, Y Zhang, Y He
2014 12th international conference on signal processing (ICSP), 774-779, 2014
32014
A patch-based non-local means method for image denoising
S Dang, Y Zhang, D Gong
International Conference on Intelligent Science and Intelligent Data …, 2012
32012
An Effective Two-Branch Model-Based Deep Network for Single Image Deraining
Y Wang, D Gong, J Yang, Q Shi, A Hengel, D Xie, B Zeng
arXiv preprint arXiv:1905.05404, 2019
22019
End-to-end diagnosis and segmentation learning from cardiac magnetic resonance imaging
G Snaauw, D Gong, G Maicas, A van den Hengel, WJ Niessen, J Verjans, ...
2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019 …, 2019
22019
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