| Supervised deep feature embedding with handcrafted feature S Kan, Y Cen, Z He, Z Zhang, L Zhang, Y Wang IEEE Transactions on Image Processing 28 (12), 5809-5823, 2019 | 65 | 2019 |
| Deep proposal and detection networks for road damage detection and classification YJ Wang, M Ding, S Kan, S Zhang, C Lu 2018 IEEE International Conference on Big Data (Big Data), 5224-5227, 2018 | 47 | 2018 |
| SURF binarization and fast codebook construction for image retrieval SC Kan, YG Cen, Y Cen, YH Wang, V Voronin, V Mladenovic, M Zeng Journal of visual communication and image representation 49, 104-114, 2017 | 30 | 2017 |
| PGAN: Part-based nondirect coupling embedded GAN for person reidentification Y Zhang, Y Jin, J Chen, S Kan, Y Cen, Q Cao IEEE MultiMedia 27 (3), 23-33, 2020 | 24 | 2020 |
| Metric learning-based kernel transformer with triplets and label constraints for feature fusion S Kan, L Zhang, Z He, Y Cen, S Chen, J Zhou Pattern Recognition 99, 107086, 2020 | 22 | 2020 |
| Unsupervised deep metric learning with transformed attention consistency and contrastive clustering loss Y Li, S Kan, Z He European Conference on Computer Vision, 141-157, 2020 | 21 | 2020 |
| Local semantic correlation modeling over graph neural networks for deep feature embedding and image retrieval S Kan, Y Cen, Y Li, M Vladimir, Z He IEEE Transactions on Image Processing 31, 2988-3003, 2022 | 15 | 2022 |
| Zero-shot learning to index on semantic trees for scalable image retrieval S Kan, Y Cen, Y Cen, M Vladimir, Y Li, Z He IEEE Transactions on Image Processing 30, 501-516, 2020 | 14 | 2020 |
| Multiscale spatial temporal attention graph convolution network for skeleton-based anomaly behavior detection X Chen, S Kan, F Zhang, Y Cen, L Zhang, D Zhang Journal of Visual Communication and Image Representation 90, 103707, 2023 | 12 | 2023 |
| Relative order analysis and optimization for unsupervised deep metric learning S Kan, Y Cen, Y Li, V Mladenovic, Z He Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 11 | 2021 |
| Contrastive bayesian analysis for deep metric learning S Kan, Z He, Y Cen, Y Li, V Mladenovic, Z He IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022 | 9 | 2022 |
| A GAN-based input-size flexibility model for single image dehazing S Kan, Y Zhang, F Zhang, Y Cen Signal Processing: Image Communication 102, 116599, 2022 | 9 | 2022 |
| Block-based image matching for image retrieval Y Wang, R Zhao, L Liang, X Zheng, Y Cen, S Kan Journal of Visual Communication and Image Representation 74, 102998, 2021 | 8 | 2021 |
| Spatial assembly networks for image representation learning Y Li, S Kan, J Yuan, W Cao, Z He Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 7 | 2021 |
| A supervised learning to index model for approximate nearest neighbor image retrieval S Kan, L Cen, X Zheng, Y Cen, Z Zhu, H Wang Signal Processing: Image Communication 78, 494-502, 2019 | 6 | 2019 |
| A graph model-based multiscale feature fitting method for unsupervised anomaly detection F Zhang, S Kan, D Zhang, Y Cen, L Zhang, V Mladenovic Pattern Recognition 138, 109373, 2023 | 5 | 2023 |
| Multi-focus image fusion based on multi-scale generative adversarial network X Ma, Z Wang, S Hu, S Kan Entropy 24 (5), 582, 2022 | 5 | 2022 |
| Learned model composition with critical sample look-ahead for semi-supervised learning on small sets of labeled samples Y Li, S Kan, C Wenming, Z He IEEE Transactions on Circuits and Systems for Video Technology 31 (9), 3444-3455, 2020 | 5 | 2020 |
| Coded residual transform for generalizable deep metric learning S Kan, Y Liang, M Li, Y Cen, J Wang, Z He Advances in Neural Information Processing Systems 35, 28601-28615, 2022 | 4 | 2022 |
| Compressed sensing based feature fusion for image retrieval Y Wang, Y Cen, R Zhao, L Zhang, S Kan, S Hu Journal of Ambient Intelligence and Humanized Computing, 1-13, 2018 | 4 | 2018 |
Yigang CENSchool of Computer & Information Technology, Beijing Jiaotong University, Beijing, ChinaVerified email at bjtu.edu.cn
