Chen Li
Orcid: 0000-0002-0260-2182Affiliations:
- National University of Defense Technology, Changsha, China
According to our database1,
Chen Li
authored at least 19 papers
between 2020 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2024
Crots: Cross-Domain Teacher-Student Learning for Source-Free Domain Adaptive Semantic Segmentation.
Int. J. Comput. Vis., January, 2024
Segmentation prompts classification: A nnUNet-based 3D transfer learning framework with ROI tokenization and cross-task attention for esophageal cancer T-stage diagnosis.
Expert Syst. Appl., 2024
2023
A knowledge-based learning framework for self-supervised pre-training towards enhanced recognition of biomedical microscopy images.
Neural Networks, October, 2023
Neural Networks, 2023
Proceedings of the IEEE International Conference on Acoustics, 2023
2022
IEEE Robotics Autom. Lett., 2022
Adaptive Pseudo Labeling for Source-Free Domain Adaptation in Medical Image Segmentation.
Proceedings of the IEEE International Conference on Acoustics, 2022
2021
Fast and Accurate Lane Detection via Graph Structure and Disentangled Representation Learning.
Sensors, 2021
Exploiting Negative Learning for Implicit Pseudo Label Rectification in Source-Free Domain Adaptive Semantic Segmentation.
CoRR, 2021
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021
Proceedings of the IEEE International Conference on Robotics and Automation, 2021
AttENT: Domain-Adaptive Medical Image Segmentation via Attention-Aware Translation and Adversarial Entropy Minimization.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021
Tri-Directional Tasks Complementary Learning for Unsupervised Domain Adaptation of Cross-modality Medical Image Semantic Segmentation.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021
2020
A Unified Framework for Depth Prediction from a Single Image and Binocular Stereo Matching.
Remote. Sens., 2020
ANU-Net: Attention-based nested U-Net to exploit full resolution features for medical image segmentation.
Comput. Graph., 2020
Application of U-Shaped Convolutional Neural Network Based on Attention Mechanism in Liver CT Image Segmentation.
Proceedings of 2020 International Conference on Medical Imaging and Computer-Aided Diagnosis, 2020
Proceedings of the 25th International Conference on Pattern Recognition, 2020
Proceedings of the IEEE International Conference on Image Processing, 2020