Zekun Li
Orcid: 0000-0003-2119-0651Affiliations:
- Nanjing University, Nanjing, China
According to our database1,
Zekun Li authored at least 8 papers
between 2021 and 2026.
Collaborative distances:
Collaborative distances:
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Bibliography
2026
Diffusion-Based Data Augmentation for Image Recognition: A Systematic Analysis and Evaluation.
Int. J. Comput. Vis., March, 2026
2025
Balancing Multi-Target Semi-Supervised Medical Image Segmentation With Collaborative Generalist and Specialists.
IEEE Trans. Medical Imaging, July, 2025
Correspondence as Video: Test-Time Adaption on SAM2 for Reference Segmentation in the Wild.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025
Taste More, Taste Better: Diverse Data and Strong Model Boost Semi-Supervised Crowd Counting.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025
Steady Progress Beats Stagnation: Mutual Aid of Foundation and Conventional Models in Mixed Domain Semi-Supervised Medical Image Segmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025
2024
IEEE Trans. Knowl. Data Eng., 2024
2023
IOMatch: Simplifying Open-Set Semi-Supervised Learning with Joint Inliers and Outliers Utilization.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
2021
A novel multiple instance learning framework for COVID-19 severity assessment via data augmentation and self-supervised learning.
Medical Image Anal., 2021