Dong Gong
Title
Cited by
Cited by
Year
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
1212017
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
1212016
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
512016
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 International Conference on Computer Vision, 1705-1714, 2019
402019
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
392018
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
252019
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
222018
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 Conference on Computer Vision and Pattern …, 2019
212019
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
162017
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
14*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
122018
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
102019
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
102018
COVID-19 Chest CT Image Segmentation--A Deep Convolutional Neural Network Solution
Q Yan, B Wang, D Gong, C Luo, W Zhao, J Shen, Q Shi, S Jin, L Zhang, ...
arXiv preprint arXiv:2004.10987, 2020
92020
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
92017
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
82019
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
82014
Part-guided attention learning for vehicle re-identification
X Zhang, R Zhang, J Cao, D Gong, M You, C Shen
arXiv preprint arXiv:1909.06023, 2019
72019
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
62019
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), 2014
52014
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Articles 1–20