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Jingwen Ye
Jingwen Ye
在 nus.edu.sg 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
Neural style transfer: A review
Y Jing, Y Yang, Z Feng, J Ye, Y Yu, M Song
IEEE transactions on visualization and computer graphics 26 (11), 3365-3385, 2019
8492019
Dataset distillation via factorization
S Liu, K Wang, X Yang, J Ye, X Wang
Advances in neural information processing systems 35, 1100-1113, 2022
1232022
Deep model reassembly
X Yang, D Zhou, S Liu, J Ye, X Wang
Advances in neural information processing systems 35, 25739-25753, 2022
1202022
Factorizing knowledge in neural networks
X Yang, J Ye, X Wang
European Conference on Computer Vision, 73-91, 2022
1172022
Online knowledge distillation for efficient pose estimation
Z Li, J Ye, M Song, Y Huang, Z Pan
Proceedings of the IEEE/CVF international conference on computer vision …, 2021
912021
Spot-adaptive knowledge distillation
J Song, Y Chen, J Ye, M Song
IEEE Transactions on Image Processing 31, 3359-3370, 2022
632022
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/CVF Conference on Computer Vision and Pattern …, 2019
602019
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
532020
Slimmable dataset condensation
S Liu, J Ye, R Yu, X Wang
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
502023
Dynast: Dynamic sparse transformer for exemplar-guided image generation
S Liu, J Ye, S Ren, X Wang
European Conference on Computer Vision, 72-90, 2022
412022
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
332020
Learning with recoverable forgetting
J Ye, Y Fu, J Song, X Yang, S Liu, X Jin, M Song, X Wang
European Conference on Computer Vision, 87-103, 2022
312022
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
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition 2, 2019
292019
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
262019
Partial network cloning
J Ye, S Liu, X Wang
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
152023
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
142019
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
142018
Safe distillation box
J Ye, Y Mao, J Song, X Wang, C Jin, M Song
Proceedings of the AAAI Conference on Artificial Intelligence 36 (3), 3117-3124, 2022
132022
A survey of neural trees
H Li, J Song, M Xue, H Zhang, J Ye, L Cheng, M Song
arXiv preprint arXiv:2209.03415, 2022
82022
Improving Expressivity of GNNs with Subgraph-specific Factor Embedded Normalization
K Chen, S Liu, T Zhu, J Qiao, Y Su, Y Tian, T Zheng, H Zhang, Z Feng, ...
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023
42023
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