| Bit-Scalable Deep Hashing with Regularized Similarity Learning for Image Retrieval and Person Re-identification R Zhang, L Lin, R Zhang, W Zuo, L Zhang IEEE Transactions on Image Processing 24 (12), 4766 - 4779, 2015 | 438 | 2015 |
| Cost-effective active learning for deep image classification K Wang, D Zhang, Y Li, R Zhang, L Lin IEEE Transactions on Circuits and Systems for Video Technology 27 (12), 2591 …, 2016 | 317 | 2016 |
| Deepfashion2: A versatile benchmark for detection, pose estimation, segmentation and re-identification of clothing images Y Ge, R Zhang, X Wang, X Tang, P Luo Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 115 | 2019 |
| Differentiable learning-to-normalize via switchable normalization P Luo, J Ren, Z Peng, R Zhang, J Li arXiv preprint arXiv:1806.10779, 2018 | 92 | 2018 |
| Scan: Self-and-collaborative attention network for video person re-identification R Zhang, J Li, H Sun, Y Ge, P Luo, X Wang, L Lin IEEE Transactions on Image Processing 28 (10), 4870-4882, 2019 | 36 | 2019 |
| Deep structured scene parsing by learning with image descriptions L Lin, G Wang, R Zhang, R Zhang, X Liang, W Zuo Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016 | 36 | 2016 |
| Image-to-video person re-identification with temporally memorized similarity learning D Zhang, W Wu, H Cheng, R Zhang, Z Dong, Z Cai IEEE Transactions on Circuits and Systems for Video Technology 28 (10), 2622 …, 2017 | 35 | 2017 |
| Ssn: Learning sparse switchable normalization via sparsestmax W Shao, T Meng, J Li, R Zhang, Y Li, X Wang, P Luo Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 32 | 2019 |
| Attentive crowd flow machines L Liu, R Zhang, J Peng, G Li, B Du, L Lin Proceedings of the 26th ACM international conference on Multimedia, 1553-1561, 2018 | 29 | 2018 |
| Adaptive scene category discovery with generative learning and compositional sampling L Lin, R Zhang, X Duan IEEE Transactions on Circuits and Systems for Video Technology 25 (2), 251-260, 2014 | 23 | 2014 |
| SCN: Switchable Context Network for Semantic Segmentation of RGB-D Images D Lin, R Zhang, Y Ji, P Li, H Huang IEEE transactions on cybernetics, 2018 | 17 | 2018 |
| Switchable normalization for learning-to-normalize deep representation P Luo, R Zhang, J Ren, Z Peng, J Li IEEE transactions on pattern analysis and machine intelligence, 2019 | 14 | 2019 |
| Progressively Diffused Networks for Semantic Visual Parsing R Zhang, W Yang, Z Peng, X Wang, L Lin Pattern Recognition, 2019 | 14* | 2019 |
| Geometric scene parsing with hierarchical lstm Z Peng, R Zhang, X Liang, X Liu, L Lin Proceedings of International Joint Conferences on Artificial Intelligence …, 2016 | 14 | 2016 |
| Towards photo-realistic virtual try-on by adaptively generating-preserving image content H Yang, R Zhang, X Guo, W Liu, W Zuo, P Luo Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 13 | 2020 |
| Hierarchical scene parsing by weakly supervised learning with image descriptions R Zhang, L Lin, G Wang, M Wang, W Zuo IEEE transactions on pattern analysis and machine intelligence 41 (3), 596-610, 2018 | 12 | 2018 |
| Deep boosting: Layered feature mining for general image classification Z Peng, L Lin, R Zhang, J Xu 2014 IEEE International Conference on Multimedia and Expo (ICME), 1-6, 2014 | 12 | 2014 |
| AIM 2020 challenge on learned image signal processing pipeline A Ignatov, R Timofte, Z Zhang, M Liu, H Wang, W Zuo, J Zhang, R Zhang, ... arXiv preprint arXiv:2011.04994, 2020 | 10 | 2020 |
| Differentiable dynamic normalization for learning deep representation P Luo, P Zhanglin, S Wenqi, Z Ruimao, R Jiamin, W Lingyun International Conference on Machine Learning, 4203-4211, 2019 | 10 | 2019 |
| Differentiable Learning-to-Group Channels via Groupable Convolutional Neural Networks Z Zhang, J Li, W Shao, Z Peng, R Zhang, X Wang, P Luo International Conference on Computer Vision, 2019 | 9 | 2019 |
Liang LinProfessor, School of Data and Computer Science, Sun Yat-Sen University, ChinaVerified email at ieee.org
