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Wei Shen (沈为)
Wei Shen (沈为)
Associate Professor, Shanghai Jiao Tong University
Verified email at sjtu.edu.cn - Homepage
Title
Cited by
Cited by
Year
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
5892016
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
5472015
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
4992018
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
3132015
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
2962018
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
290*2017
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
2662018
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
2432016
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
2052018
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
199*2020
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
147*2018
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
1422019
Deep regression forests for age estimation
W Shen, Y Guo, Y Wang, K Zhao, B Wang, AL Yuille
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
1382018
The medical segmentation decathlon
M Antonelli, A Reinke, S Bakas, K Farahani, A Kopp-Schneider, ...
Nature communications 13 (1), 1-13, 2022
1332022
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
131*2019
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
1292021
Skeleton growing and pruning with bending potential ratio
W Shen, X Bai, R Hu, H Wang, LJ Latecki
Pattern Recognition 44 (2), 196-209, 2011
1172011
Object skeleton extraction in natural images by fusing scale-associated deep side outputs
W Shen, K Zhao, Y Jiang, Y Wang, Z Zhang, X Bai
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016
1062016
Label distribution learning forests
W Shen, K Zhao, Y Guo, A Yuille
NIPS, 2017
902017
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
862017
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