Wenzhe Yin

Orcid: 0000-0003-3669-9987

Affiliations:
  • University of Amsterdam, The Netherlands


According to our database1, Wenzhe Yin authored at least 16 papers between 2020 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
Probabilistic Interactive 3D Segmentation with Hierarchical Neural Processes.
CoRR, May, 2025

Distributional Vision-Language Alignment by Cauchy-Schwarz Divergence.
CoRR, February, 2025

Geometric Neural Process Fields.
CoRR, February, 2025

Fault detection for time-varying process in nuclear power plants based on improved moving window and dynamic kernel principal component analysis.
Reliab. Eng. Syst. Saf., 2025

2024
Domain Adaptation with Cauchy-Schwarz Divergence.
CoRR, 2024

Domain Adaptation with Cauchy-Schwarz Divergence.
Proceedings of the Uncertainty in Artificial Intelligence, 2024

Click Prompt Learning with Optimal Transport for Interactive Segmentation.
Proceedings of the Computer Vision - ECCV 2024, 2024

Dynamic Prototype Adaptation with Distillation for Few-shot Point Cloud Segmentation.
Proceedings of the International Conference on 3D Vision, 2024

2023
PC-Reg: A pyramidal prediction-correction approach for large deformation image registration.
Medical Image Anal., December, 2023

Motion Flow Matching for Human Motion Synthesis and Editing.
CoRR, 2023

2022
Principle of relevant information for graph sparsification.
Proceedings of the Uncertainty in Artificial Intelligence, 2022

Non-rigid registration of temporal live cell microscopy image sequences using deep learning.
Proceedings of the Medical Imaging 2022: Image Processing, 2022

Few-shot Semantic Segmentation with Support-induced Graph Convolutional Network.
Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2021
Bilevel Continual Learning.
Proceedings of the International Joint Conference on Neural Networks, 2021

2020
Learning an Interpretable Graph Structure in Multi-Task Learning.
CoRR, 2020

Towards Interpretable Multi-task Learning Using Bilevel Programming.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020


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