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Yunhang Shen 沈云航

Emails: shenyunhang01 AT gmail.com (best), yhshen AT stu.xmu.edu.cn
[Goolge Scholar][GitHub ] [Curriculum Vitae] (Last updated on July 2021.)

I finished the Ph.D study from Department of Artificial Intelligence, School of Informatics, Xiamen University, in 2021. My advisor is Prof. Rongrong Ji.

I received the B.S. and M.S. Degree in Cognitive Science and Technology of Xiamen University in 2014 and 2017, respectively.

I was a research intern from May, 2016 to June, 2017 at Microsoft Research Asia (MSRA) under the supervision of Dr. Changhu Wang and Dr. Kuiyuan Yang.

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Research Interests

My research interests are in Computer Vision, Multimedia and Machine Learning.
Recently, I focus on:

Full Publication List

Selected Publications

  1. E2Net : Excitative-Expansile Learning for Weakly Supervised Object Localization
    Zhiwei Chen, Liujuan Cao*, Yunhang Shen, Feihong Lian, Yongjian Wu, Rongrong Ji
    ACM International Conference on Multimedia (ACMMM), 2021. [Code]
  2. Parallel Detection-and-Segmentation Learning for Weakly Supervised Instance Segmentation
    Yunhang Shen, Liujuan Cao*, Zhiwei Chen, Baochang Zhang, Chi Su, Yongjian Wu, Feiyue Huang, Rongrong Ji
    Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), 2021. [Code]
  3. Toward Joint Thing-and-Stuff Mining for Weakly Supervised Panoptic Segmentation
    Yunhang Shen, Liujuan Cao*, Zhiwei Chen, Feihong Lian, Baochang Zhang, Chi Su, Yongjian Wu, Feiyue Huang, Rongrong Ji
    IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021. [Code]
  1. UWSOD: Toward Fully-Supervised-Level Capacity Weakly Supervised Object Detection
    Yunhang Shen, Rongrong Ji*, Zhiwei Chen, Yongjian Wu, Feiyue Huang
    Conference on Neural Information Processing Systems (NeurIPS), 2020. [Code]
  2. Enabling Deep Residual Networks for Weakly Supervised Object Detection
    Yunhang Shen, Rongrong Ji*, Yan Wang, Zhiwei Chen, Feng Zheng, Feiyue Huang, Yunsheng Wu
    European Conference on Computer Vision (ECCV), 2020. [Supplementary Material] [Caffe2 Code] [PyTorch Code]
  3. Noise-Aware Fully Webly Supervised Object Detection
    Yunhang Shen, Rongrong Ji*, Zhiwei Chen, Xiaopeng Hong, Feng Zheng, Jianzhuang Liu, Mingliang Xu, Qi Tian
    IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020. [Code]
  1. Category-Aware Spatial Constraint for Weakly Supervised Detection
    Yunhang Shen, Rongrong Ji*, Kuiyuan Yang, Cheng Deng, Changhu Wang
    IEEE Transactions on Image Processing (TIP), 2019. [Code]
  2. A Part Power Set Model for Scale-Free Person Retrieval
    Yunhang Shen, Rongrong Ji*, Xiaopeng Hong, Feng Zheng, Xiaowei Guo, Yongjian Wu, Feiyue Huang
    International Joint Conference on Artificial Intelligence (IJCAI), 2019. [Code]
  3. Cyclic Guidance for Weakly Supervised Joint Detection and Segmentation
    Yunhang Shen, Rongrong Ji*, Yan Wang, Yongjian Wu, Liujuan Cao
    IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2019. [Code]
  1. Generative Adversarial Learning towards Fast Weakly Supervised Detection
    Yunhang Shen, Rongrong Ji*, Shengchuan Zhang, Wangmeng Zuo, and Yan Wang
    IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2018. [Code]
  2. Weakly Supervised Object Detection via Object-Specific Pixel Gradient
    Yunhang Shen, Rongrong Ji*, Changhu Wang, Xi Li, and Xuelong Li
    IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2018. [Code]

Before 2017

  1. The Distributed System for Inverted Multi-index Visual Retrieval
    Xianming Lin, Yunhang Shen, Ling Cai, Rongrong Ji*
    Neurocomputing, 2016.
  2. Hacking Chinese Touclick CAPTCHA by Multi-Scale Corner Structure Model with Fast Pattern Matching
    Yunhang Shen, Rongrong Ji*, Donglin Cao, Min Wang
    ACM International Conference on Multimedia (ACM MM), 2014. [Code]
  3. Robotic Free Writing of Chinese Characters via Human–Robot Interactions
    Fei Chao, Fuhai Chen, Yunhang Shen, Wenli He, Yan Sun, Zhengshuai Wang, Changle Zhou and Min Jiang
    International journal of humanoid robotics, 2014.

Honors and Awards

  1. National Scholarship, 2019
  2. National Scholarship, 2016
  3. National Scholarship, 2015
  4. 1st Prize and new records, Award on the Music Information Retrieval Evaluation eXchange, 2015
  5. National Endeavor Scholarship, 2013
  6. 1st Prize, Award on the National Intelligent Design Competition, 2013
  7. National Endeavor Scholarship, 2011




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