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Jialei Chen
Jialei Chen
Verified email at s.mail.nagoya-u.ac.jp - Homepage
Title
Cited by
Cited by
Year
Uncertainty-aware deep co-training for semi-supervised medical image segmentation
X Zheng, C Fu, H Xie, J Chen, X Wang, CW Sham
Computers in Biology and Medicine 149, 106051, 2022
402022
Uncertainty teacher with dense focal loss for semi-supervised medical image segmentation
J Chen, C Fu, H Xie, X Zheng, R Geng, CW Sham
Computers in Biology and Medicine 149, 106034, 2022
232022
Clip is also a good teacher: A new learning framework for inductive zero-shot semantic segmentation
J Chen, D Deguchi, C Zhang, X Zheng, H Murase
arXiv preprint arXiv:2310.02296, 2023
112023
Frozen is Better than Learning: A New Design of Prototype-Based Classifier for Semantic Segmentation
J Chen, D Deguchi, C Zhang, X Zheng, H Murase
Pattern Recognition, 2024
92024
Automatic skin lesion classification using a novel densely connected convolutional network integrated with an attention module
P Shan, J Chen, C Fu, L Cao, M Tie, CW Sham
Journal of Ambient Intelligence and Humanized Computing 14 (7), 8943-8956, 2023
52023
Toward Explainable End-to-End Driving Models via Simplified Objectification Constraints
C Zhang, D Deguchi, J Chen, H Murase
IEEE Transactions on Intelligent Transportation Systems, 2024
12024
Generalizable Semantic Vision Query Generation for Zero-shot Panoptic and Semantic Segmentation
J Chen, D Deguchi, C Zhang, H Murase
arXiv preprint arXiv:2402.13697, 2024
2024
CROCODILE: Crop-based Contrastive Discriminative Learning for Enhancing Explainability of End-to-End Driving Models
C ZHANG, D DEGUCHI, J CHEN, Z QUAN, H MURASE
Proceedings of the Asian Conference on Computer Vision, 378-393, 2024
2024
AUTOMATIC SKIN LESION CLASSIFICATION BASED ON CXception
P Shan, C Fu, J Chen, M Tie, H Ma
PROCEEDINGS OF THE ROMANIAN ACADEMY SERIES A-MATHEMATICS PHYSICS TECHNICAL …, 2022
2022
Semantic Matters: A Semantic Constrained Approach for Zero-Shot Video Action Recognition
Z Quan, J Chen, D Deguchi, J Sun, C Zhang, Y Li, H Murase
Pattern Recognition, 0
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