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Wenzhe Yin
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- affiliation: University of Amsterdam, The Netherlands
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2020 – today
- 2024
- [c7]Jie Liu, Wenzhe Yin, Haochen Wang, Yunlu Chen, Jan-Jakob Sonke, Efstratios Gavves:
Dynamic Prototype Adaptation with Distillation for Few-shot Point Cloud Segmentation. 3DV 2024: 810-819 - [c6]Jie Liu, Haochen Wang, Wenzhe Yin, Jan-Jakob Sonke, Efstratios Gavves:
Click Prompt Learning with Optimal Transport for Interactive Segmentation. ECCV (33) 2024: 93-110 - [i8]Jie Liu, Wenzhe Yin, Haochen Wang, Yunlu Chen, Jan-Jakob Sonke, Efstratios Gavves:
Dynamic Prototype Adaptation with Distillation for Few-shot Point Cloud Segmentation. CoRR abs/2401.16051 (2024) - [i7]Wenzhe Yin, Shujian Yu, Yicong Lin, Jie Li, Jan-Jakob Sonke, Efstratios Gavves:
Domain Adaptation with Cauchy-Schwarz Divergence. CoRR abs/2405.19978 (2024) - 2023
- [j1]Wenzhe Yin
, Jan-Jakob Sonke
PC-Reg: A pyramidal prediction-correction approach for large deformation image registration. Medical Image Anal. 90: 102978 (2023) - [i6]Jie Liu, Yanqi Bao, Wenzhe Yin, Haochen Wang, Yang Gao, Jan-Jakob Sonke, Efstratios Gavves:
Few-shot Semantic Segmentation with Support-induced Graph Convolutional Network. CoRR abs/2301.03194 (2023) - [i5]Vincent Tao Hu, Wenzhe Yin, Pingchuan Ma, Yunlu Chen, Basura Fernando, Yuki M. Asano, Efstratios Gavves, Pascal Mettes, Björn Ommer, Cees G. M. Snoek:
Motion Flow Matching for Human Motion Synthesis and Editing. CoRR abs/2312.08895 (2023) - 2022
- [c5]Jie Liu, Yanqi Bao, Wenzhe Yin, Haochen Wang, Yang Gao, Jan-Jakob Sonke, Efstratios Gavves:
Few-shot Semantic Segmentation with Support-induced Graph Convolutional Network. BMVC 2022: 126 - [c4]Wenzhe Yin, Vadim O. Chagin, M. Cristina Cardoso, Karl Rohr:
Non-rigid registration of temporal live cell microscopy image sequences using deep learning. Image Processing 2022 - [c3]Shujian Yu, Francesco Alesiani, Wenzhe Yin, Robert Jenssen, José C. Príncipe:
Principle of relevant information for graph sparsification. UAI 2022: 2331-2341 - [i4]Shujian Yu, Francesco Alesiani, Wenzhe Yin, Robert Jenssen, José C. Príncipe:
Principle of Relevant Information for Graph Sparsification. CoRR abs/2206.00118 (2022) - 2021
- [c2]Ammar Shaker, Francesco Alesiani
Bilevel Continual Learning. IJCNN 2021: 1-8 - 2020
- [c1]Francesco Alesiani
Towards Interpretable Multi-task Learning Using Bilevel Programming. ECML/PKDD (2) 2020: 593-608 - [i3]Francesco Alesiani, Shujian Yu, Ammar Shaker, Wenzhe Yin:
Towards Interpretable Multi-Task Learning Using Bilevel Programming. CoRR abs/2009.05483 (2020) - [i2]Shujian Yu, Francesco Alesiani, Ammar Shaker, Wenzhe Yin:
Learning an Interpretable Graph Structure in Multi-Task Learning. CoRR abs/2009.05618 (2020) - [i1]Ammar Shaker, Francesco Alesiani, Shujian Yu, Wenzhe Yin:
Bilevel Continual Learning. CoRR abs/2011.01168 (2020)
Coauthor Index
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