Wenzhe Yin

According to our database, Wenzhe Yin authored at least 11 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Domain Adaptation with Cauchy-Schwarz Divergence.

Wenzhe Yin, Shujian Yu, Yicong Lin, Jie Li, Jan-Jakob Sonke, Efstratios Gavves

CoRR, 2024

Click Prompt Learning with Optimal Transport for Interactive Segmentation.

Jie Liu, Haochen Wang, Wenzhe Yin, Jan-Jakob Sonke, Efstratios Gavves

Proceedings of the Computer Vision - ECCV 2024, 2024

Dynamic Prototype Adaptation with Distillation for Few-shot Point Cloud Segmentation.

Jie Liu, Wenzhe Yin, Haochen Wang, Yunlu Chen, Jan-Jakob Sonke, Efstratios Gavves

Proceedings of the International Conference on 3D Vision, 2024

2023

PC-Reg: A pyramidal prediction-correction approach for large deformation image registration.

Wenzhe Yin, Jan-Jakob Sonke, Efstratios Gavves

Medical Image Anal., December, 2023

Motion Flow Matching for Human Motion Synthesis and Editing.

Vincent Tao Hu, Wenzhe Yin, Pingchuan Ma, Yunlu Chen, Basura Fernando, Yuki M. Asano, Efstratios Gavves, Pascal Mettes, Björn Ommer, Cees G. M. Snoek

CoRR, 2023

2022

Principle of relevant information for graph sparsification.

Shujian Yu, Francesco Alesiani, Wenzhe Yin, Robert Jenssen, José C. Príncipe

Proceedings of the Uncertainty in Artificial Intelligence, 2022

Non-rigid registration of temporal live cell microscopy image sequences using deep learning.

Wenzhe Yin, Vadim O. Chagin, M. Cristina Cardoso, Karl Rohr

Proceedings of the Medical Imaging 2022: Image Processing, 2022

Few-shot Semantic Segmentation with Support-induced Graph Convolutional Network.

Jie Liu, Yanqi Bao, Wenzhe Yin, Haochen Wang, Yang Gao, Jan-Jakob Sonke, Efstratios Gavves

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2021

Bilevel Continual Learning.

Ammar Shaker, Francesco Alesiani, Shujian Yu, Wenzhe Yin

Proceedings of the International Joint Conference on Neural Networks, 2021

2020

Learning an Interpretable Graph Structure in Multi-Task Learning.

Shujian Yu, Francesco Alesiani, Ammar Shaker, Wenzhe Yin

CoRR, 2020

Towards Interpretable Multi-task Learning Using Bilevel Programming.

Francesco Alesiani, Shujian Yu, Ammar Shaker, Wenzhe Yin

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020