Παρακολούθηση
Chaowei Fang
Chaowei Fang
Xidian University
Η διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα xidian.edu.cn
Τίτλος
Παρατίθεται από
Παρατίθεται από
Έτος
Densely nested top-down flows for salient object detection
C Fang, H Tian, D Zhang, Q Zhang, J Han, J Han
Science China Information Sciences 65 (8), 182103, 2022
772022
Trash to treasure: Harvesting ood data with cross-modal matching for open-set semi-supervised learning
J Huang, C Fang, W Chen, Z Chai, X Wei, P Wei, L Lin, G Li
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
702021
Identity-preserving talking face generation with landmark and appearance priors
W Zhong, C Fang, Y Cai, P Wei, G Zhao, L Lin, G Li
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
692023
Cross-level contrastive learning and consistency constraint for semi-supervised medical image segmentation
X Zhao, C Fang, DJ Fan, X Lin, F Gao, G Li
2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI), 1-5, 2022
632022
Piecewise flat embedding for image segmentation
Y Yu, C Fang, Z Liao
Proceedings of the IEEE international conference on computer vision, 1368-1376, 2015
54*2015
Cross-modality high-frequency transformer for mr image super-resolution
C Fang, D Zhang, L Wang, Y Zhang, L Cheng, J Han
Proceedings of the 30th ACM International Conference on Multimedia, 1584-1592, 2022
512022
Reliable mutual distillation for medical image segmentation under imperfect annotations
C Fang, Q Wang, L Cheng, Z Gao, C Pan, Z Cao, Z Zheng, D Zhang
IEEE Transactions on Medical Imaging 42 (6), 1720-1734, 2023
492023
Globally guided progressive fusion network for 3D pancreas segmentation
C Fang, G Li, C Pan, Y Li, Y Yu
Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019
472019
M3Net: A multi-scale multi-view framework for multi-phase pancreas segmentation based on cross-phase non-local attention
T Qu, X Wang, C Fang, L Mao, J Li, P Li, J Qu, X Li, H Xue, Y Yu, Z Jin
Medical image analysis 75, 102232, 2022
412022
Weakly supervised semantic segmentation via alternate self-dual teaching
D Zhang, H Li, W Zeng, C Fang, L Cheng, MM Cheng, J Han
IEEE Transactions on Image Processing, 2023
372023
A single frame and multi-frame joint network for 360-degree panorama video super-resolution
H Liu, Z Ruan, C Fang, P Zhao, F Shang, Y Liu, L Wang
arXiv preprint arXiv:2008.10320, 2020
32*2020
Improved techniques for multi-view registration with motion averaging
Z Li, J Zhu, K Lan, C Li, C Fang
2014 2nd International Conference on 3D Vision 1, 713-719, 2014
282014
Incremental cross-view mutual distillation for self-supervised medical CT synthesis
C Fang, L Wang, D Zhang, J Xu, Y Yuan, J Han
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
262022
PNEN: Pyramid non-local enhanced networks
F Zhu, C Fang, KK Ma
IEEE Transactions on Image Processing 29, 8831-8841, 2020
202020
Contralaterally enhanced networks for thoracic disease detection
G Zhao, C Fang, G Li, L Jiao, Y Yu
IEEE Transactions on Medical Imaging 40 (9), 2428-2438, 2021
192021
Meta corrupted pixels mining for medical image segmentation
J Wang, S Zhou, C Fang, L Wang, J Wang
Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020
172020
Deep 3D vessel segmentation based on cross transformer network
C Pan, B Qi, G Zhao, J Liu, C Fang, D Zhang, J Li
2022 IEEE international conference on bioinformatics and biomedicine (BIBM …, 2022
152022
Double-Check Soft Teacher for Semi-Supervised Object Detection.
K Wang, Y Nie, C Fang, C Han, X Wu, X Wang, L Lin, F Zhou, G Li
IJCAI, 1430-1436, 2022
152022
Select, purify, and exchange: A multisource unsupervised domain adaptation method for building extraction
S Wang, Q Zang, D Zhao, C Fang, D Quan, Y Wan, Y Guo, L Jiao
IEEE Transactions on Neural Networks and Learning Systems, 2023
142023
Separating noisy samples from tail classes for long-tailed image classification with label noise
C Fang, L Cheng, Y Mao, D Zhang, Y Fang, G Li, H Qi, L Jiao
IEEE Transactions on Neural Networks and Learning Systems, 2023
142023
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