| Coupled discriminative feature learning for heterogeneous face recognition Y Jin, J Lu, Q Ruan IEEE Transactions on Information Forensics and Security 10 (3), 640-652, 2015 | 101 | 2015 |
| Partial multi-label learning by low-rank and sparse decomposition L Sun, S Feng, T Wang, C Lang, Y Jin Proceedings of the AAAI conference on artificial intelligence 33 (01), 5016-5023, 2019 | 92 | 2019 |
| Edcnn: Edge enhancement-based densely connected network with compound loss for low-dose ct denoising T Liang, Y Jin, Y Li, T Wang 2020 15th IEEE International conference on signal processing (ICSP) 1, 193-198, 2020 | 69 | 2020 |
| Robust object tracking based on temporal and spatial deep networks Z Teng, J Xing, Q Wang, C Lang, S Feng, Y Jin Proceedings of the IEEE International Conference on Computer Vision, 1144-1153, 2017 | 69 | 2017 |
| Cross‐ethnicity face anti‐spoofing recognition challenge: A review A Liu, X Li, J Wan, Y Liang, S Escalera, HJ Escalante, M Madadi, Y Jin, ... IET Biometrics 10 (1), 24-43, 2021 | 59 | 2021 |
| Cross-modality transformer with modality mining for visible-infrared person re-identification T Liang, Y Jin, W Liu, Y Li IEEE Transactions on Multimedia, 2023 | 58* | 2023 |
| Local correlation ensemble with GCN based on attention features for cross-domain person Re-ID Y Zhang, F Zhang, Y Jin, Y Cen, V Voronin, S Wan ACM Transactions on Multimedia Computing, Communications and Applications 19 …, 2023 | 56 | 2023 |
| Learning combinatorial solver for graph matching T Wang, H Liu, Y Li, Y Jin, X Hou, H Ling Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 53 | 2020 |
| Pedestrian detection with super-resolution reconstruction for low-quality image Y Jin, Y Zhang, Y Cen, Y Li, V Mladenovic, V Voronin Pattern Recognition 115, 107846, 2021 | 48 | 2021 |
| Stacked PCA network (SPCANet): an effective deep learning for face recognition L Tian, C Fan, Y Ming, Y Jin 2015 IEEE International Conference on Digital Signal Processing (DSP), 1039-1043, 2015 | 48 | 2015 |
| MSO: Multi-feature space joint optimization network for rgb-infrared person re-identification Y Gao, T Liang, Y Jin, X Gu, W Liu, Y Li, C Lang Proceedings of the 29th ACM international conference on multimedia, 5257-5265, 2021 | 46 | 2021 |
| Fully automatic 3D facial expression recognition using polytypic multi-block local binary patterns X Li, Q Ruan, Y Jin, G An, R Zhao Signal Processing 108, 297-308, 2015 | 43 | 2015 |
| Error-robust low-rank tensor approximation for multi-view clustering S Wang, Y Chen, Y Jin, Y Cen, Y Li, L Zhang Knowledge-Based Systems 215, 106745, 2021 | 40 | 2021 |
| Unsupervised domain adaptation for person re-identification via heterogeneous graph alignment M Zhang, K Liu, Y Li, S Guo, H Duan, Y Long, Y Jin Proceedings of the AAAI conference on artificial intelligence 35 (4), 3360-3368, 2021 | 37 | 2021 |
| Model latent views with multi-center metric learning for vehicle re-identification Y Jin, C Li, Y Li, P Peng, GA Giannopoulos IEEE Transactions on Intelligent Transportation Systems 22 (3), 1919-1931, 2021 | 36 | 2021 |
| VARID: Viewpoint-aware re-identification of vehicle based on triplet loss Y Li, K Liu, Y Jin, T Wang, W Lin IEEE Transactions on Intelligent Transportation Systems 23 (2), 1381-1390, 2020 | 36 | 2020 |
| Action unit analysis enhanced facial expression recognition by deep neural network evolution R Zhi, C Zhou, T Li, S Liu, Y Jin Neurocomputing 425, 135-148, 2021 | 34 | 2021 |
| 3DPC-Net: 3D point cloud network for face anti-spoofing X Li, J Wan, Y Jin, A Liu, G Guo, SZ Li 2020 IEEE International Joint Conference on Biometrics (IJCB), 1-8, 2020 | 33 | 2020 |
| FERLrTc: 2D+ 3D facial expression recognition via low-rank tensor completion Y Fu, Q Ruan, Z Luo, Y Jin, G An, J Wan Signal Processing 161, 74-88, 2019 | 32 | 2019 |
| Face recognition using gabor-based improved supervised locality preserving projections Y Jin, QQ Ruan Computing and Informatics 28 (1), 81–95-81–95, 2009 | 32 | 2009 |
Congyan LangBeijing Jiaotong UniversityVerified email at bjtu.edu.cn
