Transfer Feature Learning with Joint Distribution Adaptation M Long, J Wang, G Ding, J Sun, PS Yu IEEE ICCV, 2013 | 1983 | 2013 |
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 | 1354 | 2021 |
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 | 795 | 2014 |
Collective Matrix Factorization Hashing for Multimodal Data G Ding, Y Guo, J Zhou Proceedings of the IEEE Conference on Computer Vision and Pattern ¡¦, 2014 | 659 | 2014 |
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 | 653 | 2019 |
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 | 652 | 2013 |
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 | 607 | 2022 |
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 | 549 | 2015 |
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 | 453 | 2014 |
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 | 319 | 2020 |
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 | 252 | 2020 |
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 | 227 | 2013 |
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 | 220 | 2021 |
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 | 201 | 2016 |
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 | 201 | 2016 |
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 | 199 | 2019 |
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 | 179 | 2019 |
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 | 179 | 2016 |
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 | 171 | 2017 |