Wenxuan Wang

According to our database, Wenxuan Wang authored at least 25 papers between 2021 and 2025.

Collaborative distances:

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

2025

End-to-End Vision Tokenizer Tuning.

Wenxuan Wang, Fan Zhang, Yufeng Cui, Haiwen Diao, Zhuoyan Luo, Huchuan Lu, Jing Liu, Xinlong Wang

CoRR, May, 2025

Towards Unified Referring Expression Segmentation Across Omni-Level Visual Target Granularities.

Jing Liu, Wenxuan Wang, Yisi Zhang, Yepeng Tang, Xingjian He, Longteng Guo, Tongtian Yue, Xinlong Wang

CoRR, April, 2025

Image Difference Grounding with Natural Language.

Wenxuan Wang, Zijia Zhao, Yisi Zhang, Yepeng Tang, Erdong Hu, Xinlong Wang, Jing Liu

CoRR, April, 2025

EVEv2: Improved Baselines for Encoder-Free Vision-Language Models.

Haiwen Diao, Xiaotong Li, Yufeng Cui, Yueze Wang, Haoge Deng, Ting Pan, Wenxuan Wang, Huchuan Lu, Xinlong Wang

CoRR, February, 2025

State space models meet transformers for hyperspectral image classification.

Xuefei Shi, Yisi Zhang, Kecheng Liu, Zhaokun Wen, Wenxuan Wang, Tianxiang Zhang, Jiangyun Li

Signal Process., 2025

Diffusion Feedback Helps CLIP See Better.

Wenxuan Wang, Quan Sun, Fan Zhang, Yepeng Tang, Jing Liu, Xinlong Wang

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

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

Wenxuan Wang, Xingjian He, Yisi Zhang, Longteng Guo, Jiachen Shen, Jiangyun Li, Jing Liu

IEEE Trans. Multim., 2024

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

Wenxuan Wang, Jing Wang, Chen Chen, Jianbo Jiao, Yuanxiu Cai, Shanshan Song, Jiangyun Li

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.

Haoran Shen, Yifu Zhang, Wenxuan Wang, Chen Chen, Jing Liu, Shanshan Song, Jiangyun Li

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

Collaborative Training of Tiny-Large Vision Language Models.

Shichen Lu, Longteng Guo, Wenxuan Wang, Zijia Zhao, Tongtian Yue, Jing Liu, Si Liu

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

Med-Tuning: A New Parameter-Efficient Tuning Framework for Medical Volumetric Segmentation.

Jiachen Shen, Wenxuan Wang, Chen Chen, Jianbo Jiao, Jing Liu, Yan Zhang, Shanshan Song, Jiangyun Li

Proceedings of the Medical Imaging with Deep Learning, 3-5 July 2024, Paris, France., 2024

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

Wenxuan Wang, Tongtian Yue, Yisi Zhang, Longteng Guo, Xingjian He, Xinlong Wang, Jing Liu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

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

Wenxuan Wang, Yisi Zhang, Xingjian He, Yichen Yan, Zijia Zhao, Xinlong Wang, Jing Liu

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

Positive-negative equal contrastive loss for semantic segmentation.

Jing Wang, Jiangyun Li, Wei Li, Lingfei Xuan, Tianxiang Zhang, Wenxuan Wang

Neurocomputing, 2023

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

Yichen Yan, Xingjian He, Wenxuan Wang, Sihan Chen, Jing Liu

CoRR, 2023

MMNet: Multi-Mask Network for Referring Image Segmentation.

Yichen Yan, Xingjian He, Wenxuan Wang, Jing Liu

CoRR, 2023

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

Wenxuan Wang, Jing Liu, Xingjian He, Yisi Zhang, Chen Chen, Jiachen Shen, Yan Zhang, Jiangyun Li

CoRR, 2023

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

Wenxuan Wang, Jiachen Shen, Chen Chen, Jianbo Jiao, Yan Zhang, Shanshan Song, Jiangyun Li

CoRR, 2023

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

Wenxuan Wang, Jing Wang, Chen Chen, Jianbo Jiao, Lichao Sun, Yuanxiu Cai, Shanshan Song, Jiangyun Li

CoRR, 2023

2022

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

Tianxiang Zhang, Wenxuan Wang, Jing Wang, Yuanxiu Cai, Zhifang Yang, Jiangyun Li

Remote. Sens., 2022

Positive-Negative Equal Contrastive Loss for Semantic Segmentation.

Jing Wang, Lingfei Xuan, Wenxuan Wang, Tianxiang Zhang, Jiangyun Li

CoRR, 2022

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

Jiangyun Li, Wenxuan Wang, Chen Chen, Tianxiang Zhang, Sen Zha, Hong Yu, Jing Wang

CoRR, 2022

Hyper-ES²T: Efficient Spatial-Spectral Transformer for the classification of hyperspectral remote sensing images.

Wenxuan Wang, Leiming Liu, Tianxiang Zhang, Jiachen Shen, Jing Wang, Jiangyun Li

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

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

Wenxuan Wang, Chen Chen, Jing Wang, Sen Zha, Yan Zhang, Jiangyun Li

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

TransBTS: Multimodal Brain Tumor Segmentation Using Transformer.

Wenxuan Wang, Chen Chen, Meng Ding, Hong Yu, Sen Zha, Jiangyun Li

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