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Preprints

  • Peng Tang, Xinggang Wang, Song Bai, Wei Shen, Xiang Bai, Wenyu Liu, Alan Yuille. “PCL: Proposal Cluster Learning for Weakly Supervised Object Detection”. 2018. (CODE) (arxiv)
  • Yuyin Zhou, Yan Wang, Peng Tang, Wei Shen, Elliot K. Fishman, Alan Yuille. “Semi-Supervised Multi-Organ Segmentation via Deep Multi-Planar Co-Training”. 2018. (arxiv)
  • Peng Tang, Chunyu Wang, Xinggang Wang, Wenyu Liu, Wenjun Zeng, Jingdong Wang. “Object Detection in Videos by High Quality Object Linking”. 2018. (arxiv)
  • Peng Tang, Xinggang Wang, Baoguang Shi, Xiang Bai, Wenyu Liu, Zhuowen Tu. “Deep FisherNet for Object Classification”. 2016. (arxiv)

Conference papers

  • Peng Tang, Xinggang Wang, Angtian Wang, Yongluan Yan, Wenyu Liu, Junzhou Huang, Alan Yuille. “Weakly Supervised Region Proposal Network and Object Detection”. European Conference on Computer Vision (ECCV), 2018. (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), oral, 2018. (arxiv)
  • Peng Tang, Xinggang Wang, Xiang Bai, Wenyu Liu. “Multiple Instance Detection Network with Online Instance Classifier Refinement”. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017. (PDF) (CODE) (arxiv)

Journal papers

  • Xinggang Wang, Yongluan Yan, Peng Tang, Xiang Bai, Wenyu Liu. “Revisiting Multiple Instance Neural Networks”. Pattern Recognition, 2017. (PDF) (CODE) (arxiv)
  • Peng Tang, Xinggang Wang, Zilong Huang, Xiang Bai, Wenyu Liu. “Deep Patch Learning for Weakly Supervised Object Classification and Discovery”. Pattern Recognition, 2017. (PDF) (CODE) (arxiv)
  • Peng Tang, Xinggang Wang, Bin Feng, Wenyu Liu. “Learning Multi-instance Deep Discriminative Patterns for Image Classification”. IEEE Transactions on Image Processing, 2016. (PDF)
  • Peng Tang, Jin Zhang, Xinggang Wang, Bin Feng, Fabio Roli, Wenyu Liu. “Learning Extremely Shared Middle-level Image Representation for Scene Classification”. Knowledge and Information Systems, 2016. (PDF) (CODE)