| Neural style transfer: A review Y Jing, Y Yang, Z Feng, J Ye, Y Yu, M Song IEEE transactions on visualization and computer graphics, 2019 | 223 | 2019 |
| Student becoming the master: Knowledge amalgamation for joint scene parsing, depth estimation, and more J Ye, Y Ji, X Wang, K Ou, D Tao, M Song Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019 | 15 | 2019 |
| Kairi Ou, Dapeng Tao, and Mingli Song. Student becoming the master: Knowledge amalgamation for joint scene parsing, depth estimation, and more J Ye, Y Ji, X Wang IEEE Conference on Computer Vision and Pattern Recognition, 2019 | 7 | 2019 |
| Finer-net: Cascaded human parsing with hierarchical granularity J Ye, Z Feng, Y Jing, M Song 2018 IEEE International Conference on Multimedia and Expo (ICME), 1-6, 2018 | 7 | 2018 |
| Data-Free Knowledge Amalgamation via Group-Stack Dual-GAN J Ye, Y Ji, X Wang, X Gao, M Song Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 4 | 2020 |
| DEPARA: Deep Attribution Graph for Deep Knowledge Transferability J Song, Y Chen, J Ye, X Wang, C Shen, F Mao, M Song Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 4 | 2020 |
| Amalgamating filtered knowledge: Learning task-customized student from multi-task teachers J Ye, X Wang, Y Ji, K Ou, M Song arXiv preprint arXiv:1905.11569, 2019 | 4 | 2019 |
| Edge-sensitive human cutout with hierarchical granularity and loopy matting guidance J Ye, Y Jing, X Wang, K Ou, D Tao, M Song IEEE Transactions on Image Processing 29, 1177-1191, 2019 | 1 | 2019 |
| Data-Free Knowledge Amalgamation via Group-Stack Dual-GAN–Supplementary Material– J Ye, Y Ji, X Wang, X Gao, M Song | | |
| DEPARA: Deep Attribution Graph for Deep Knowledge Transferability–Supplementary Material– J Song, Y Chen, J Ye, X Wang, C Shen, F Mao, M Song | | |
| Student Becoming the Master: Knowledge Amalgamation for Joint Scene Parsing, Depth Estimation, and More–Supplementary Material– J Ye, Y Ji, X Wang, K Ou, D Tao, M Song | | |
