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Yunfan Ye
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EdgeFed: Optimized federated learning based on edge computing
Y Ye, S Li, F Liu, Y Tang, W Hu
IEEE Access 8, 209191-209198, 2020
1622020
Ensemble learning based on GBDT and CNN for adoptability prediction
Y Ye, F Liu, S Zhao, W Hu, Z Liang
Computers Materials & Continua 65 (2), 1361-1372, 2020
52020
Stedge: Self-training edge detection with multilayer teaching and regularization
Y Ye, R Yi, Z Cai, K Xu
IEEE Transactions on Neural Networks and Learning Systems, 2023
42023
Nef: Neural edge fields for 3d parametric curve reconstruction from multi-view images
Y Ye, R Yi, Z Gao, C Zhu, Z Cai, K Xu
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
42023
DiffusionEdge: Diffusion Probabilistic Model for Crisp Edge Detection
Y Ye, K Xu, Y Huang, R Yi, Z Cai
arXiv preprint arXiv:2401.02032, 2024
22024
Delving into Crispness: Guided Label Refinement for Crisp Edge Detection
Y Ye, R Yi, Z Gao, Z Cai, K Xu
IEEE Transactions on Image Processing, 2023
22023
Image captioning for cultural artworks: a case study on ceramics
B Zheng, F Liu, M Zhang, T Zhou, S Cui, Y Ye, Y Guo
Multimedia Systems 29 (6), 3223-3243, 2023
12023
Fixing the Double Agent Vulnerability of Deep Watermarking: A Patch-Level Solution against Artwork Plagiarism
Y Luo, T Zhou, S Cui, Y Ye, F Liu, Z Cai
IEEE Transactions on Circuits and Systems for Video Technology, 2023
12023
FedStyle: Style-Based Federated Learning Crowdsourcing Framework for Art Commissions
C Ran, Y Guo, F Liu, S Cui, Y Ye
arXiv preprint arXiv:2404.16336, 2024
2024
Learning Cross-hand Policies for High-DOF Reaching and Grasping
Q She, S Zhang, Y Ye, M Liu, R Hu, K Xu
arXiv preprint arXiv:2404.09150, 2024
2024
Learning accurate template matching with differentiable coarse-to-fine correspondence refinement
Z Gao, R Yi, Z Qin, Y Ye, C Zhu, K Xu
Computational Visual Media 10 (2), 309-330, 2024
2024
Integrating Conceptual and Visual Representations with Domain Expertise for Scalable Visual Plagiarism Detection
S Cui, Z Liu, F Liu, Y Ye, M Zhang
Available at SSRN 4781956, 0
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