Követés
Wei Shen (沈为)
Wei Shen (沈为)
Professor, Shanghai Jiao Tong University
E-mail megerősítve itt: sjtu.edu.cn - Kezdőlap
Cím
Hivatkozott rá
Hivatkozott rá
Év
The medical segmentation decathlon
M Antonelli, A Reinke, S Bakas, K Farahani, A Kopp-Schneider, ...
Nature communications 13 (1), 4128, 2022
10892022
ibot: Image bert pre-training with online tokenizer
J Zhou, C Wei, H Wang, W Shen, C Xie, A Yuille, T Kong
arXiv preprint arXiv:2111.07832, 2021
9432021
Multi-oriented text detection with fully convolutional networks
Z Zhang, C Zhang, W Shen, C Yao, W Liu, X Bai
IEEE Conference on Computer Vision and Pattern Recognition, 2016
7432016
DeepContour: A Deep Convolutional Feature Learned by Positive-sharing Loss for Contour Detection
W Shen, X Wang, Y Wang, X Bai, Z Zhang
IEEE Conference on Computer Vision and Pattern Recognition, 2015
7122015
Few-shot image recognition by predicting parameters from activations
S Qiao, C Liu, W Shen, AL Yuille
IEEE Conference on Computer Vision and Pattern Recognition, 2018
6772018
Deep co-training for semi-supervised image recognition
S Qiao, W Shen, Z Zhang, B Wang, A Yuille
Proceedings of the european conference on computer vision (eccv), 135-152, 2018
5832018
Pcl: Proposal cluster learning for weakly supervised object detection
P Tang, X Wang, S Bai, W Shen, X Bai, W Liu, A Yuille
IEEE transactions on pattern analysis and machine intelligence 42 (1), 176-191, 2018
4272018
A fixed-point model for pancreas segmentation in abdominal CT scans
Y Zhou, L Xie, W Shen, Y Wang, EK Fishman, AL Yuille
International conference on medical image computing and computer-assisted …, 2017
405*2017
Micro-Batch Training with Batch-Channel Normalization and Weight Standardization
S Qiao, H Wang, C Liu, W Shen, A Yuille
arXiv preprint arXiv:1903.10520, 2020
3462020
Symmetry-Based Text Line Detection in Natural Scenes
Z Zhang, W Shen, C Yao, X Bai
IEEE Conference on Computer Vision and Pattern Recognition, 2015
3402015
Spatial–temporal convolutional neural networks for anomaly detection and localization in crowded scenes
S Zhou, W Shen, D Zeng, M Fang, Y Wei, Z Zhang
Signal Processing: Image Communication 47, 358-368, 2016
3342016
Intriguing findings of frequency selection for image deblurring
X Mao, Y Liu, F Liu, Q Li, W Shen, Y Wang
AAAI, 2023
295*2023
Deep differentiable random forests for age estimation
W Shen, Y Guo, Y Wang, K Zhao, B Wang, AL Yuille
IEEE transactions on pattern analysis and machine intelligence 43 (2), 404-419, 2021
263*2021
Single-Shot Object Detection with Enriched Semantics
Z Zhang, S Qiao, C Xie, W Shen, B Wang, AL Yuille
IEEE Conference on Computer Vision and Pattern Recognition, 2018
2602018
Abdominal multi-organ segmentation with organ-attention networks and statistical fusion
Y Wang, Y Zhou, W Shen, S Park, EK Fishman, AL Yuille
Medical image analysis 55, 88-102, 2019
2392019
A 3D coarse-to-fine framework for volumetric medical image segmentation
Z Zhu, Y Xia, W Shen, E Fishman, A Yuille
2018 International conference on 3D vision (3DV), 682-690, 2018
208*2018
Bidirectional copy-paste for semi-supervised medical image segmentation
Y Bai, D Chen, Q Li, W Shen, Y Wang
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2023
2062023
Semi-supervised 3D abdominal multi-organ segmentation via deep multi-planar co-training
Y Zhou, Y Wang, P Tang, S Bai, W Shen, E Fishman, A Yuille
2019 IEEE Winter Conference on Applications of Computer Vision (WACV), 121-140, 2019
204*2019
Deepskeleton: Learning multi-task scale-associated deep side outputs for object skeleton extraction in natural images
W Shen, K Zhao, Y Jiang, Y Wang, X Bai, A Yuille
IEEE Transactions on Image Processing 26 (11), 5298-5311, 2017
192*2017
Domain adaptive relational reasoning for 3d multi-organ segmentation
S Fu, Y Lu, Y Wang, Y Zhou, W Shen, E Fishman, A Yuille
Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020
1842020
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Cikkek 1–20