| Deep Clustering via Joint Convolutional Autoencoder Embedding and Relative Entropy Minimization K Ghasedi Dizaji, A Herandi, C Deng, W Cai, H Huang Proceedings of the IEEE international conference on computer vision, 5736-5745, 2017 | 624 | 2017 |
| Self-Supervised Adversarial Hashing Networks for Cross-Modal Retrieval C Li, C Deng, N Li, W Liu, X Gao, D Tao Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 472 | 2018 |
| Pyramidal Person Re-Identification via Multi-loss Dynamic Training F Zheng, C Deng, X Sun, X Jiang, X Guo, Z Yu, F Huang, R Ji Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 444 | 2019 |
| Triplet-based Deep Hashing Network for Cross-Modal Retrieval C Deng, Z Chen, X Liu, X Gao, D Tao IEEE Transactions on Image Processing 27 (8), 3893-3903, 2018 | 373 | 2018 |
| Pairwise relationship guided deep hashing for cross-modal retrieval E Yang, C Deng, W Liu, X Liu, D Tao, X Gao proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017 | 340 | 2017 |
| Deep spectral clustering using dual autoencoder network X Yang, C Deng, F Zheng, J Yan, W Liu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 300 | 2019 |
| Multi-task collaborative network for joint referring expression comprehension and segmentation G Luo, Y Zhou, X Sun, L Cao, C Wu, C Deng, R Ji Proceedings of the IEEE/CVF Conference on computer vision and pattern …, 2020 | 257 | 2020 |
| A short survey of recent advances in graph matching J Yan, XC Yin, W Lin, C Deng, H Zha, X Yang Proceedings of the 2016 ACM on international conference on multimedia …, 2016 | 198 | 2016 |
| Toward compact convnets via structure-sparsity regularized filter pruning S Lin, R Ji, Y Li, C Deng, X Li IEEE Transactions on Neural Networks and Learning Systems 31 (2), 574-588, 2019 | 188 | 2019 |
| A local Tchebichef moments-based robust image watermarking C Deng, X Gao, X Li, D Tao Signal Processing 89 (8), 1531-1539, 2009 | 187 | 2009 |
| Distillhash: Unsupervised deep hashing by distilling data pairs E Yang, T Liu, C Deng, W Liu, D Tao Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 171 | 2019 |
| Semantic structure-based unsupervised deep hashing E Yang, C Deng, T Liu, W Liu, D Tao Proceedings of the 27th international joint conference on artificial …, 2018 | 171 | 2018 |
| Geometric distortion insensitive image watermarking in affine covariant regions X Gao, C Deng, X Li, D Tao IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and …, 2010 | 169 | 2010 |
| Active transfer learning network: A unified deep joint spectral-spatial feature learning model for hyperspectral image classification C Deng, Y Xue, X Liu, C Li, D Tao IEEE Transactions on Geoscience and Remote Sensing 57 (3), 1741-1754, 2019 | 168 | 2019 |
| Robust reversible watermarking via clustering and enhanced pixel-wise masking L An, X Gao, X Li, D Tao, C Deng, J Li IEEE Transactions on Image Processing 21 (8), 3598-3611, 2012 | 165 | 2012 |
| Unsupervised semantic-preserving adversarial hashing for image search C Deng, E Yang, T Liu, J Li, W Liu, D Tao IEEE transactions on image processing 28 (8), 4032-4044, 2019 | 163 | 2019 |
| Shared predictive cross-modal deep quantization E Yang, C Deng, C Li, W Liu, J Li, D Tao IEEE Transactions on Neural Networks and Learning Systems 29 (11), 5292-5303, 2018 | 156 | 2018 |
| Multi-task consistency-preserving adversarial hashing for cross-modal retrieval D Xie, C Deng, C Li, X Liu, D Tao IEEE Transactions on Image Processing 29, 3626-3637, 2020 | 155 | 2020 |
| Active multi-kernel domain adaptation for hyperspectral image classification C Deng, X Liu, C Li, D Tao Pattern Recognition 77, 306-315, 2018 | 149 | 2018 |
| Learning a structured optimal bipartite graph for co-clustering F Nie, X Wang, C Deng, H Huang Advances in Neural Information Processing Systems 30, 2017 | 142 | 2017 |
Dacheng TaoNanyang Technological University在 ntu.edu.sg 的电子邮件经过验证
