Jianan Fan

Orcid: 0000-0003-4424-9572

According to our database1, Jianan Fan authored at least 12 papers between 2019 and 2024.

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

Timeline

2019
2020
2021
2022
2023
2024
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5
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Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Learning to Generalize over Subpartitions for Heterogeneity-Aware Domain Adaptive Nuclei Segmentation.
Int. J. Comput. Vis., August, 2024

Cell as Point: One-Stage Framework for Efficient Cell Tracking.
CoRR, 2024

AMNCutter: Affinity-Attention-Guided Multi-View Normalized Cutter for Unsupervised Surgical Instrument Segmentation.
CoRR, 2024

Revisiting Surgical Instrument Segmentation Without Human Intervention: A Graph Partitioning View.
Proceedings of the 1st International Workshop on Multimedia Computing for Health and Medicine, 2024

GroupLearning: Label Noise Mitigation Through Multi-Expert Collaboration for Medical Image Analysis.
Proceedings of the 39th International Conference on Image and Vision Computing New Zealand, 2024

Multi-Source-Free Domain Adaptation via Uncertainty-Aware Adaptive Distillation.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Revisiting Adaptive Cellular Recognition Under Domain Shifts: A Contextual Correspondence View.
Proceedings of the Computer Vision - ECCV 2024, 2024

Seeing Unseen: Discover Novel Biomedical Concepts via Geometry-Constrained Probabilistic Modeling.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
DriveMLM: Aligning Multi-Modal Large Language Models with Behavioral Planning States for Autonomous Driving.
CoRR, 2023

Online Tobacco Width Detection Based on Skeleton Detection Algorithm.
Proceedings of the International Conference on Networking and Network Applications, 2023

Taxonomy Adaptive Cross-Domain Adaptation in Medical Imaging via Optimization Trajectory Distillation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2019
A Fully Convolutional Neural Network for Wood Defect Location and Identification.
IEEE Access, 2019


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