Wenxue Li
Orcid: 0000-0002-1301-4933Affiliations:
- Tianjin University, Tianjin, China
According to our database1,
Wenxue Li authored at least 20 papers
between 2023 and 2026.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2026
PixelWizard: Towards Efficient High-Fidelity Video Generation at Ultra-Large Spatial Resolution.
CoRR, May, 2026
SAM2-UNet: segment anything 2 makes strong encoder for natural and medical image segmentation.
Vis. Intell., 2026
2025
CoRR, June, 2025
Free Meal: Boosting Semi-Supervised Polyp Segmentation by Harvesting Negative Samples.
IEEE Signal Process. Lett., 2025
FSA-Net: Fractal-Driven Synergistic Anatomy-Aware Network for Segmenting White Line of Toldt in Laparoscopic Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025
Detect Any Mirrors: Boosting Learning Reliability on Large-Scale Unlabeled Data with an Iterative Data Engine.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025
Seeing Far and Clearly: Mitigating Hallucinations in MLLMs with Attention Causal Decoding.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025
Neighbor Does Matter: Density-Aware Contrastive Learning for Medical Semi-supervised Segmentation.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025
AGLLDiff: Guiding Diffusion Models Towards Unsupervised Training-free Real-world Low-light Image Enhancement.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025
2024
IEEE Signal Process. Lett., 2024
Diffusion Model Driven Test-Time Image Adaptation for Robust Skin Lesion Classification.
CoRR, 2024
Generalizing to Unseen Domains in Diabetic Retinopathy with Disentangled Representations.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
TP-DRSeg: Improving Diabetic Retinopathy Lesion Segmentation with Explicit Text-Prompts Assisted SAM.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
Semi- and Weakly-Supervised Learning for Mammogram Mass Segmentation with Limited Annotations.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024
2023
Comput. Biol. Medicine, October, 2023
IEEE Trans. Instrum. Meas., 2023
Mammo-SAM: Adapting Foundation Segment Anything Model for Automatic Breast Mass Segmentation in Whole Mammograms.
Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023