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 19 papers between 2021 and 2025.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of four.

Timeline

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Bibliography

2025

State space models meet transformers for hyperspectral image classification.

[BibT_eX]

[DOI]

Signal Process., 2025

2024

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

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2024

Beyond Literal Descriptions: Understanding and Locating Open-World Objects Aligned with Human Intentions.

[BibT_eX]

[DOI]

CoRR, 2024

FreMIM: Fourier Transform Meets Masked Image Modeling for Medical Image Segmentation.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Collaborative Training of Tiny-Large Vision Language Models.

[BibT_eX]

[DOI]

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

2023

Positive-negative equal contrastive loss for semantic segmentation.

[BibT_eX]

[DOI]

Neurocomputing, 2023

Unveiling Parts Beyond Objects: Towards Finer-Granularity Referring Expression Segmentation.

[BibT_eX]

[DOI]

CoRR, 2023

EAVL: Explicitly Align Vision and Language for Referring Image Segmentation.

[BibT_eX]

[DOI]

CoRR, 2023

MMNet: Multi-Mask Network for Referring Image Segmentation.

[BibT_eX]

[DOI]

CoRR, 2023

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

[BibT_eX]

[DOI]

CoRR, 2023

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

[BibT_eX]

[DOI]

CoRR, 2023

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

[BibT_eX]

[DOI]

CoRR, 2023

2022

Hyper-LGNet: Coupling Local and Global Features for Hyperspectral Image Classification.

[BibT_eX]

[DOI]

Remote. Sens., 2022

Positive-Negative Equal Contrastive Loss for Semantic Segmentation.

[BibT_eX]

[DOI]

CoRR, 2022

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

[BibT_eX]

[DOI]

CoRR, 2022

Hyper-ES<sup>2</sup>T: Efficient Spatial-Spectral Transformer for the classification of hyperspectral remote sensing images.

[BibT_eX]

[DOI]

Int. J. Appl. Earth Obs. Geoinformation, 2022

Med-DANet: Dynamic Architecture Network for Efficient Medical Volumetric Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

TransBTS: Multimodal Brain Tumor Segmentation Using Transformer.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Wenxuan Wang

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