Wenxuan Wang

Orcid: 0000-0002-9022-1370

Affiliations:
  • Chinese Academy of Sciences, Institute of Automation, Beijing, China
  • University of Chinese Academy of Science, School of Artificial Intelligence, Beijing, China
  • University of Science and Technology Beijing, School of Automation and Electrical Engineering, China (former)


According to our database1, Wenxuan Wang authored at least 13 papers between 2021 and 2024.

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

Timeline

Legend:

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Links

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Bibliography

2024
CM-MaskSD: Cross-Modality Masked Self-Distillation for Referring Image Segmentation.
IEEE Trans. Multim., 2024

FreMIM: Fourier Transform Meets Masked Image Modeling for Medical Image Segmentation.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Med-DANet V2: A Flexible Dynamic Architecture for Efficient Medical Volumetric Segmentation.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023
Positive-negative equal contrastive loss for semantic segmentation.
Neurocomputing, 2023

CM-MaskSD: Cross-Modality Masked Self-Distillation for Referring Image Segmentation.
CoRR, 2023

Med-Tuning: Exploring Parameter-Efficient Transfer Learning for Medical Volumetric Segmentation.
CoRR, 2023

FreMAE: Fourier Transform Meets Masked Autoencoders for Medical Image Segmentation.
CoRR, 2023

2022
Hyper-LGNet: Coupling Local and Global Features for Hyperspectral Image Classification.
Remote. Sens., 2022

Positive-Negative Equal Contrastive Loss for Semantic Segmentation.
CoRR, 2022

TransBTSV2: Wider Instead of Deeper Transformer for Medical Image Segmentation.
CoRR, 2022

Hyper-ES<sup>2</sup>T: Efficient Spatial-Spectral Transformer for the classification of hyperspectral remote sensing images.
Int. J. Appl. Earth Obs. Geoinformation, 2022

Med-DANet: Dynamic Architecture Network for Efficient Medical Volumetric Segmentation.
Proceedings of the Computer Vision - ECCV 2022, 2022

2021
TransBTS: Multimodal Brain Tumor Segmentation Using Transformer.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021


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