Yulun Zhang


Yulun Zhang 张宇伦

Department of Electrical and Computer Engineering
Northeastern University

Room 427, Richards Hall
360 Huntington Avenue, Boston, MA 02115, USA

Email: yulun100 AT gmail DOT com



Biography

I am a PhD student at Department of Electrical & Computer Engineering, Northeastern University, USA and work with Prof. Yun Fu in the SMILE Lab. I also worked as research intern or fellow in Adobe Research and Harvard University. Before that I received my master degree in the Department of Automation, Tsinghua University, China, in Jul. 2017 and B.E degree from School of Electronic Engineering, Xidian University, China, in Jul. 2013.

My research interest broadly includes sparse/collaborative representation, deep learning and their applications to computer vision tasks. Specifically, these applications lie in image processing (image restoration, synthesis, and biomedical image analysis) and visual recognition (face recognition/verification). I was the recipient of the Best Student Paper Award at IEEE International Conference on Visual Communication and Image Processing (VCIP) in 2015.


News
  • 09/2020: We have 1 paper accepted to TNNLS and another one accepted to NeurIPS 2020. Code will be available soon.
  • 07/2020: We have 2 papers accepted to ECCV 2020. Code/data will be available soon.
  • 06/2020: We release the code for our paper: Pyramid Attention Networks for Image Restoration
  • 02/2020: We have 3 papers accepted to CVPR 2020. Congratulations to all authors!
  • 01/2020: We have 1 paper accepted to TPAMI.
  • 12/2019: We release the TensforFlow code and pre-trained models for ICCV19MST at MST. The PyTorch code for MST is on the way.
  • 04/2019: We release all the train/test codes and pre-trained models for ICLR19RNAN at RNAN.
  • 12/2018: We have 1 paper accepted to ICLR 2019.
  • 07/2018: PyTorch version for our CVPR18RDN has been implemented by Nguyễn Trần Toàn (trantoan060689@gmail.com) and merged into EDSR-PyTorch.
  • 07/2018: We have 1 paper accepted to ECCV 2018.
  • 07/2018: We have 1 paper accepted to ACM MM 2018.
  • 06/2018: I accept the invitation to serve as Program Committee member of AAAI 2019.
  • 02/2018: We have 1 paper accepted to CVPR 2018 as spotlight. All the codes are available at Github.
  • 02/2018: I will intern to Adobe Research (San Jose, CA) this summer.
  • 07/2017: I recieve 'Shenzhen Universiade International Scholarship'.
  • 07/2017: I recieve 'Excellent Master Thesis Award, Tsinghua University' award.
  • 07/2017: I recieve 'Excellent Graduate in Department of Automation, Tsinghua University' award.
  • 06/2017: I recieve 'Excellent Graduate of Beijing' award.
  • 05/2017: We have 1 IEEE TSMC paper accepted.
  • 05/2017: Our team (HelloSR: Xintao Wang, Yapeng Tian, Ke Yu, Yulun Zhang, Shixiang Wu, Chao Dong, Liang Lin, Yu Qiao) ranks 2nd place in NTIRE Image Super-Resolution Challenge.

Education Research Experiences

      SMILE Lab, Northeastern University, Boston, USA

      Research Assistant,   Sep. 2017 ~ Now

      Supervisor: Prof. Yun Fu

      VCG, SEAS, Harvard University, Cambridge, USA

      Research Fellow,   May 2020 ~ Aug 2020

      Supervisor: Prof. Hanspeter Pfister

      Adobe Research, USA

      Research Intern,   Jun. 2019 ~ Aug. 2019

      Mentors: Zhifei Zhang, Stephen DiVerdi, Zhaowen Wang, Jose Echevarria

      Adobe Research, USA

      Research Intern,   May 2018 ~ Aug. 2018

      Mentors: Chen Fang, Zhaowen Wang, Yilin Wang, Jimei Yang, Zhe Lin

      Department of Automation, Tsinghua University, China

      Research Assistant,   Mar. 2014 ~ Jul. 2017

      Supervisor: Prof. Yongbing Zhang

      Shenzhen Institutes of Advanced Technology (SIAT), Chinese Academy of Science, China

      Research Assistant,   Nov. 2016 ~ Jun. 2017

      Supervisor: Prof. Yu Qiao

      School of Electrical and Information Engineering, The University of Sydney, Sydney, Australia

      Visiting Student,   Jan. 2016 ~ Jun. 2016

      Supervisor: Prof. Dong Xu and Prof. Wen Li

      School of Computer Engineering, Nanyang Technological University, Singapore

      Project Officer,   Nov. 2015 ~ Jan. 2016

      Supervisor: Prof. Prof. Dong Xu and Prof. Li Niu

      School of Electronic Engineering, Xidian University, China

      Research Assistant,   Jun ~ Aug 2012, Dec 2012 ~ Jun 2013

      Supervisor: Prof. Shuyuan Yang


Publications (Google Scholar)

    Preprints

  1. Pyramid Attention Networks for Image Restoration
    Yiqun Mei, Yuchen Fan, Yulun Zhang, Jiahui Yu, Yuqian Zhou, Ding Liu, Yun Fu, Thomas S. Huang, Humphrey Shi
    arXiv preprint arXiv:2004.13824, 2020.
    [PDF] [Code]

    Journal Papers

  1. Residual Dense Network for Image Restoration
    Yulun Zhang, Yapeng Tian, Yu Kong, Bineng Zhong, Yun Fu
    IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020. (IF: 17.861)
    [PDF] [arXiv] [Code]

  2. Vehicle and Person Re-Identification with Support Neighbor Loss
    Kai Li, Zhengming Ding, Kunpeng Li, Yulun Zhang, Yun Fu
    IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2020. (IF: 8.793)
    [PDF] [Code]

  3. Fine-Grained Spatial Alignment Model for Person Re-Identification with Focal Triplet Loss
    Qinqin Zhou, Bineng Zhong, Xiangyuan Lan, Gan Sun, Yulun Zhang, Baochang Zhang, and Rongrong Ji
    IEEE Transactions on Image Processing (TIP), 2020. (IF: 9.340)
    [PDF] [Code]

  4. Continual Multi-view Task Learning via Deep Matrix Factorization
    Gan Sun, Yang Cong, Yulun Zhang, Guoshuai Zhao, Yun Fu
    IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2020. (IF: 8.793)
    [PDF] [Code]

  5. Channel Splitting Network for Single MR Image Super-Resolution
    Xiaole Zhao, Yulun Zhang, Tao Zhang, Xueming Zou
    IEEE Transactions on Image Processing (TIP), 2019. (IF: 9.340)
    [PDF] [Code]

  6. Hierarchical Tracking by Reinforcement Learning based Searching and Coarse-to-fine Verifying
    Bineng Zhong, Bing Bai, Jun Li, Yulun Zhang, Yun Fu
    IEEE Transactions on Image Processing (TIP), vol. 28, no. 5, pp. 2331-2341, 2019. (IF: 9.340)
    [PDF] [Code]

  7. Deep Alignment Network Based Multi-person Tracking with Occlusion and Motion Reasoning
    Qinqin Zhou, Bineng Zhong, Yulun Zhang, Jun Li, Yun Fu
    IEEE Transactions on Multimedia (TMM), vol. xx, no. xx, pp. xxx, 2018. (IF: 6.051)
    [PDF] [Code]

  8. Collaborative Representation Cascade for Single-Image Super-Resolution
    Yongbing Zhang, Yulun Zhang*, Jian Zhang, Dong Xu, Yun Fu, Yisen Wang, Xiangyang Ji, Qionghai Dai
    IEEE Transactions on Systems, Man, and Cybernetics: Systems (TSMC), vol. PP, no. 99, pp. 1-16, 2017. (IF: 9.309)
    [PDF] [Code-Github] [Code-Baidu]

  9. CCR: Clustering and Collaborative Representation for Fast Single Image Super-Resolution
    Yongbing Zhang, Yulun Zhang*, Jian Zhang, Qionghai Dai
    IEEE Transactions on Multimedia (TMM), vol. 18, no. 3, pp. 405-417, Mar. 2016. (IF: 6.051)
    [PDF] [Code] [Code-Github] [Code-Baidu-with mode]

    Conference Papers

  1. Neural Sparse Representation for Image Restoration
    Yuchen Fan, Jiahui Yu, Yiqun Mei, Yulun Zhang, Yun Fu, Ding Liu, Thomas S Huang
    Conference on Neural Information Processing Systems (NeurIPS), 2020.
    [PDF] [Code]

  2. Texture Hallucination for Large-Factor Painting Super-Resolution
    Yulun Zhang, Zhifei Zhang, Stephen DiVerdi, Zhaowen Wang, Jose Echevarria, Yun Fu
    European Conference on Computer Vision (ECCV), Glasgow, UK, Aug. 2020.
    [PDF] [Supp] [Code] [Data]

  3. LatticeNet: Towards Lightweight Image Super-resolution with Lattice Block
    Xiaotong Luo, Yuan Xie, Yulun Zhang, Yanyun Qu, Cuihua Li, Yun Fu
    European Conference on Computer Vision (ECCV), Glasgow, UK, Aug. 2020.
    [PDF] [Supp] [Code]

  4. Adversarial Feature Hallucination Networks for Few-Shot Learning
    Kai Li, Yulun Zhang, Kunpeng Li, Yun Fu
    IEEE Computer Vision and Pattern Recognition (CVPR), Seattle, USA, Jun. 2020.
    [PDF] [Code]

  5. TDAN: Temporally Deformable Alignment Network for Video Super-Resolution
    Yapeng Tian, Yulun Zhang, Yun Fu, Chenliang Xu
    IEEE Computer Vision and Pattern Recognition (CVPR), Seattle, USA, Jun. 2020.
    [PDF] [PyTorch]

  6. Zooming Slow-Mo: Fast and Accurate One-Stage Space-Time Video Super-Resolution
    Xiaoyu Xiang*, Yapeng Tian*, Yulun Zhang, Yun Fu, Jan Allebach, Chenliang Xu
    IEEE Computer Vision and Pattern Recognition (CVPR), Seattle, USA, Jun. 2020.
    [PDF] [PyTorch]

  7. Joint Super-Resolution and Alignment of Tiny Faces
    Yu Yin, Joseph P. Robinson, Yulun Zhang, Yun Fu
    The AAAI Conference on Artificial Intelligence (AAAI), New York, USA, Feb. 2020.
    [PDF] [PyTorch]

  8. Multimodal Style Transfer via Graph Cuts
    Yulun Zhang, Chen Fang, Yilin Wang, Zhaowen Wang, Zhe Lin, Yun Fu, Jimei Yang
    International Conference on Computer Vision (ICCV), Seoul, Korea, Oct./Nov. 2019.
    [PDF] [Supp] [TensorFlow] [PyTorch]

  9. Visual Semantic Reasoning for Image-Text Matching
    Kunpeng Li, Yulun Zhang, Kai Li, Yuanyuan Li, Yun Fu
    International Conference on Computer Vision (ICCV), Seoul, Korea, Oct./Nov. 2019. (Oral)
    [PDF] [PyTorch]

  10. Attention Bridging Network for Knowledge Transfer
    Kunpeng Li, Yulun Zhang, Kai Li, Yuanyuan Li, Yun Fu
    International Conference on Computer Vision (ICCV), Seoul, Korea, Oct./Nov. 2019.
    [PDF] [Code]

  11. LRDNN: Local-refining based Deep Neural Network for Person Re-Identification with Attribute Discerning
    Qinqin Zhou, Bineng Zhong, Xiangyuan Lan, Gan Sun, Yulun Zhang, Mengran Gou
    International Joint Conference on Artificial Intelligence (IJCAI), Macao, China, Aug. 2019.
    [PDF] [Code]

  12. Residual Non-local Attention Networks for Image Restoration
    Yulun Zhang, Kunpeng Li, Kai Li, Bineng Zhong, Yun Fu
    International Conference on Learning Representations (ICLR), New Orleans, USA, May 2019.
    [PDF] [PyTorch]

  13. Image Super-Resolution Using Very Deep Residual Channel Attention Networks
    Yulun Zhang, Kunpeng Li, Kai Li, Lichen Wang, Bineng Zhong, Yun Fu
    European Conference on Computer Vision (ECCV), Munich, Germany, Sep. 2018.
    [PDF] [Supp] [PyTorch] [Results]

  14. Support Neighbor Loss for Person Re-Identification
    Kai Li, Zhengming Ding, Kunpeng Li, Yulun Zhang, Yun Fu
    ACM Multimedia (ACM MM), Seoul, Korea, Oct. 2018.
    [PDF] [Code]

  15. Residual Dense Network for Image Super-Resolution
    Yulun Zhang, Yapeng Tian, Yu Kong, Bineng Zhong, Yun Fu
    IEEE Computer Vision and Pattern Recognition (CVPR), Salt Lake City, USA, Jun. 2018. (Spotlight)
    [PDF] [Torch] [PyTorch] [Results@BaiduDrive] [Results@GoogleDrive]

  16. Adaptive Local Nonparametric Regression for Fast Single Image Super-Resolution
    Yulun Zhang, Yongbing Zhang, Jian Zhang, Haoqian Wang, Xingzheng Wang, Qionghai Dai
    IEEE Visual Communications and Image Processing (VCIP), Singapore, Dec. 2015. (Oral) (Best Student Paper Award)
    [PDF] [Code] [Code-Baidu-with mode]

    Workshop Papers

  1. Generatively Inferential Co-Training for Unsupervised Domain Adaptation
    Can Qin, Lichen Wang, Yulun Zhang, Yun Fu
    ICCV Real-World Recognition from Low-Quality Images and Videos workshop (ICCV RLQ), Seoul, Korea, Oct./Nov. 2019. (Oral) (Best Paper Award)
    [PDF] [Code]

  2. NTIRE 2017 Challenge on Single Image Super-Resolution: Methods and Results
    Radu Timofte, Eirikur Agustsson, Luc Van Gool, ..., Xintao Wang, Yapeng Tian, Ke Yu, Yulun Zhang, Shixiang Wu, Chao Dong, Liang Lin, Yu Qiao, ..., et al.
    IEEE CVPR New Trends in Image Restoration and Enhancement workshop and challenge on image super-resolution (CVPR NTIRE), Hawaii, USA, Jul. 2017. (Second Place Award)
    [PDF]

Awards Academic Service Teaching Links

Created on 2017/06/22. Last update : 2020/09/27

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