Research

Yingda Xia, Yi Zhang, Fengze Liu,Wei Shen, Alan Yuille. Synthesize then Compare: Detecting Failures and Anomalies for Semantic Segmentation. European Conference on Computer Vision (ECCV), Glasgow, UK, 2020 [Oral]. (PDF)

Zhishuai Zhang, Wei Shen, Siyuan Qiao, Yan Wang, Bo Wang, Alan Yuille.  Robust Face Detection via Learning Small Faces on Hard Images.  IEEE Winter Conference on Applications of Computer Vision (WACV), Colorado, USA, 2020.  (PDF)

Peng Tang, Xinggang Wang, Song Bai, Wei Shen, Xiang Bai, Wenyu Liu, Alan Yuille.  PCL: Proposal Cluster Learning for Weakly Supervised Object Detection.  IEEE Trans. Pattern Analysis and Machine Intelligence, 2020.  (PDF)

Zhishuai Zhang, Siyuan Qiao, Cihang Xie, Wei Shen, Bo Wang, Alan Yuille.  Single-Shot Object Detection with Enriched Semantics.   IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Salt Lake City, USA, 2018. (PDF)

Kai Zhao, Wei Shen, Shanghua Gao, Dandan Li, Ming-Ming Cheng.  Hi-Fi: Hierarchical Feature Integration for Skeleton Detection.  International Joint Conference on Artificial Intelligence (IJCAI), Stockholm, Sweden, 2018.  (PDF)

Wei Shen, Kai Zhao, Yuan Jiang, Yan Wang, Xiang Bai, Alan Yuille.  DeepSkeleton: Learning Multi-task Scale-associated Deep Side Outputs for Object Skeleton Extraction in Natural Images.  IEEE Trans. Image Processing, 2017.  (PDF)

Siyuan Qiao, Wei Shen, Weichao Qiu, Chenxi Liu, Alan Yuille.  ScaleNet: Guiding Object Proposal Generation in Supermarkets and Beyond.  IEEE International Conference on Computer Vision (ICCV)Venice, Italy, 2017. (PDF)

Wei Shen, Kai Zhao, Yuan Jiang, Yan Wang, Zhijiang Zhang, Xiang Bai. Object Skeleton Extraction in Natural Images by Fusing Scale-associated Deep Side Outputs.  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Las Vegas, USA, 2016.  (PDF)

Zheng Zhang, Chenquan Zhang, Wei Shen, Cong Yao, Wenyu Liu, Xiang Bai. Multi-Oriented Text Detection with Fully Convolutional Networks.  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Las Vegas, USA, 2016.  (PDF)

Wei Shen, Xiang Bai, Zihao Hu, Zhijiang Zhang. Multiple Instance Subspace Learning via Partial Random Projection Tree for Local Reflection Symmetry in Natural Images.  Pattern Recognition, 52(4): 306-316, 2016.  (PDF)

Wei Shen, Xinggang Wang, Yan Wang, Xiang Bai, Zhijiang Zhang. DeepContour: A Deep Convolutional Feature Learned by Positive-sharing Loss for Contour Detection.  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Boston, USA, 2015.  (PDF)

Zheng Zhang, Wei Shen, Cong Yao, Xiang Bai. Symmetry-Based Text Line Detection in Natural Scenes.  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Boston, USA, 2015.  (PDF)

Wei Shen, Yilu Guo, Yan Wang, Kai Zhao, Bo Wang, Alan Yuille.  Deep Differentiable Random Forests for Age Estimation. IEEE Trans. Pattern Analysis and Machine Intelligence , 2020. (PDF)

Yunhan Zhao, Ye Tian, Charless Fowlkes, Wei Shen, Alan Yuille. Towards Resisting Large Data Variations via Introspective Learning. IEEE Winter Conference on Applications of Computer Vision (WACV) , Colorado, USA, 2020. (PDF)

Wei Shen, Yilu Guo, Yan Wang, Kai Zhao, Bo Wang, Alan Yuille.  Deep Regression Forests for Age Estimation. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Salt Lake City, USA, 2018.  (PDF)

Siyuan Qiao, Chenxi Liu, Wei Shen, Alan Yuille.  Few-Shot Image Recognition by Predicting Parameters from Activations.  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Salt Lake City, USA, 2018 [Spotlight].  (PDF)

Siyuan Qiao, Wei Shen, Zhishuai Zhang, Bo Wang, Alan Yuille.  Deep Co-Training for Semi-Supervised Image Recognition.  European Conference on Computer Vision (ECCV), Munich, Germany, 2018.  (PDF)

Siyuan Qiao, Zhishuai Zhang, Wei Shen, Bo Wang, Alan Yuille.  Gradually Updated Neural Networks for Large-Scale Image Recognition.  International Conference on Machine Learning (ICML), Stockholm, Sweden, 2018..  (PDF)

Wei Shen, Kai Zhao, Yilu Guo, Alan Yuille.  Label Distribution Learning Forests.  Advances in Neural Information Processing Systems (NIPS), Long Beach, USA, 2017.  (PDF)

Daniil Pakhomov, Wei Shen, Nassir Navab. Towards Unsupervised Learning for Instrument Segmentation in Robotic Surgery with Cycle-Consistent Adversarial Networks. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Las Vegas, USA, 2020.  (PDF)

Yan Wang, Xu Wei, Fengze Liu, Jieneng Chen, Yuyin Zhou, Wei Shen, Elliot Fishman, Alan Yuille. Deep Distance Transform for Tubular Structure Segmentation in CT Scans. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, USA, 2020 [Oral]. (PDF)

Yingda Xia, Qihang Yu, Wei Shen, Yuyin Zhou, Elliot Fishman, Alan Yuille. Detecting Pancreatic Adenocarcinoma in Multi-phase CT Scans via Alignment Ensemble. International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Lima, Peru, 2020.  (PDF)

Shuhao Fu, Yongyi Lu, Yan Wang, Yuyin Zhou, Wei Shen, Elliot Fishman, Alan Yuille.  Domain Adaptive Relational Reasoning for 3D Multi-Organ Segmentation. International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Lima, Peru, 2020. (PDF)

Yan Wang, Yuyin Zhou, Wei Shen, Seyoun Park, Elliot K. Fishman, Alan Yuille.  Abdominal multi-organ segmentation with organ-attention networks and statistical fusion.  Medical Image Analysis, 2019.  (PDF)

Yuyin Zhou, Yan Wang, Peng Tang, Song Bai, Wei Shen, Elliot K. Fishman, Alan Yuille. Semi-Supervised 3D Multi-Organ Segmentation via Deep Multi-Planar Co-Training.  IEEE Winter Conference on Applications of Computer Vision (WACV), Hawaii, USA, 2019. (PDF)

Yan Wang, Yuyin Zhou, Peng Tang, Wei Shen, Elliot K. Fishman, Alan Yuille. Training Multi-organ Segmentation Networks with Sample Selection by Relaxed Upper Confident Bound.  International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Granada, Spain, 2018 [Oral].  (PDF)

Zhuotun Zhu, Yingda Xia, Wei Shen, Elliot K Fishman, Alan Yuille.  A 3D Coarse-to-Fine Framework for Automatic Pancreas Segmentation.  International Conference on 3D Vision (3DV), Verona, Italy, 2018.  (PDF)

Wei Shen, Bin Wang, Yuan Jiang, Yan Wang, Alan Yuille.  Multi-stage Multi-recursive-input Fully Convolutional Networks for Neuronal Boundary Detection.  IEEE International Conference on Computer Vision (ICCV), Venice, Italy, 2017. (PDF)

Yuyin Zhou, Lingxi Xie, Wei Shen, Yan Wang, Elliot Fishman, Alan Yuille.  A Fixed-Point Model for Pancreas Segmentation in Abdominal CT Scans.  International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Quebec, Canada, 2017. (PDF)

Wei Shen, Rui Lei, Dan Zeng, Zhijiang Zhang.  Regularity guaranteed human pose correction.  Asian Conference on Computer Vision (ACCV), Singapore, 2014.  (PDF)

Wei Shen, Ke Deng, Xiang Bai, Tommer Leyvand, Baining Guo, Zhuowen Tu. Exemplar-based human action pose correction. IEEE Trans. Cybernetics, 2013. (PDF)

Wei Shen, Ke Deng, Xiang Bai, Tommer Leyvand, Baining Guo, Zhuowen Tu. Exemplar-based human action pose correction and tagging. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Providence, USA, 2012.  (PDF)

Wei Shen, Chenting Du, Yuan Jiang, Dan Zeng, Zhijiang Zhang.  Bag of Shape Features with A Learned Pooling Function for Shape Recognition.  Pattern Recognition Letters, 106(15): 33–40, 2018.  (PDF)

Wei Shen, Wenjing Gao, Yuan Jiang, Dan Zeng, Zhijiang Zhang.  Shape Recognition by Bag of Contour Fragments with A Learned Pooling Function.  IEEE International Conference on Image Processing (ICIP), Beijing, China, 2017 [Oral].  (PDF)

Wei Shen, Yuan Jiang, Wenjing Gao, Dan Zeng, Xinggang Wang.  Shape Recognition by Bag of Skeleton-associated Contour Parts. Pattern Recognition Letters, 83: 321-329, 2016.  (PDF)

Wei Shen, Yan Wang, Xiang Bai, Hongyuan Wang, Longin Jan Latecki. Shape clustering: Common structure discovery. Pattern Recognition, 46(2): 539-550, 2013. (PDF)

Wei Shen, Xiang Bai, Rong Hu, Hongyuan Wang, Longin Jan Latecki.  Skeleton growing and pruning with bending potential ratio.  Pattern Recognition, 44(2): 196-209 (2011). (PDF)