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Ding Guiguang
Title
Cited by
Cited by
Year
Transfer Feature Learning with Joint Distribution Adaptation
M Long, J Wang, G Ding, J Sun, PS Yu
IEEE ICCV, 2013
19832013
Repvgg: Making vgg-style convnets great again
X Ding, X Zhang, N Ma, J Han, G Ding, J Sun
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021
13542021
Transfer joint matching for unsupervised domain adaptation
M Long, J Wang, G Ding, J Sun, PS Yu
Proceedings of the IEEE conference on computer vision and pattern …, 2014
7952014
Collective Matrix Factorization Hashing for Multimodal Data
G Ding, Y Guo, J Zhou
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2014
6592014
Acnet: Strengthening the kernel skeletons for powerful cnn via asymmetric convolution blocks
X Ding, Y Guo, G Ding, J Han
Proceedings of the IEEE/CVF international conference on computer vision …, 2019
6532019
Adaptation Regularization: A General Framework for Transfer Learning
M Long, J Wang, G Ding, SJ Pan, P St Yu
IEEE Transactions on Knowledge and Data Engineering, 1, 2013
6522013
Scaling up your kernels to 31x31: Revisiting large kernel design in cnns
X Ding, X Zhang, J Han, G Ding
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022
6072022
Semantics-preserving hashing for cross-view retrieval
Z Lin, G Ding, M Hu, J Wang
Proceedings of the IEEE conference on computer vision and pattern …, 2015
5492015
Latent semantic sparse hashing for cross-modal similarity search
J Zhou, G Ding, Y Guo
Proceedings of the 37th international ACM SIGIR conference on Research …, 2014
4532014
Imram: Iterative matching with recurrent attention memory for cross-modal image-text retrieval
H Chen, G Ding, X Liu, Z Lin, J Liu, J Han
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
3192020
Learning from multiple experts: Self-paced knowledge distillation for long-tailed classification
L Xiang, G Ding, J Han
Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020
2522020
Transfer Sparse Coding for Robust Image Representation
M Long, G Ding, J Wang, J Sun, Y Guo, PS Yu
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2013
2272013
Transfer Learning with Graph Co-Regularization
QY Mingsheng Long, Jianmin Wang, Guiguang Ding, Dou
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2013
226*2013
Diverse branch block: Building a convolution as an inception-like unit
X Ding, X Zhang, J Han, G Ding
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021
2202021
Continuous probability distribution prediction of image emotions via multitask shared sparse regression
S Zhao, H Yao, Y Gao, R Ji, G Ding
IEEE transactions on multimedia 19 (3), 632-645, 2016
2012016
Large-scale cross-modality search via collective matrix factorization hashing
G Ding, Y Guo, J Zhou, Y Gao
IEEE Transactions on Image Processing 25 (11), 5427-5440, 2016
2012016
Centripetal sgd for pruning very deep convolutional networks with complicated structure
X Ding, G Ding, Y Guo, J Han
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019
1992019
Global sparse momentum sgd for pruning very deep neural networks
X Ding, X Zhou, Y Guo, J Han, J Liu
Advances in Neural Information Processing Systems 32, 2019
1792019
Cross-view retrieval via probability-based semantics-preserving hashing
Z Lin, G Ding, J Han, J Wang
IEEE transactions on cybernetics 47 (12), 4342-4355, 2016
1792016
From zero-shot learning to conventional supervised classification: Unseen visual data synthesis
Y Long, L Liu, L Shao, F Shen, G Ding, J Han
Proceedings of the IEEE conference on computer vision and pattern …, 2017
1712017
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Articles 1–20