Lei Zhang
photo

Lei Zhang

Chief Scientist
Computer Vision & Robotics
International Digital Economy Academy (IDEA)
Guangdong-HongKong-Macau Greater Bay Area
Shenzhen, China

Email: leizhang AT idea dot edu dot cn

Google Scholar | LinkedIn

I am a Chief Scientist of Computer Vision and Robotics at International Digital Economy Academy (IDEA) and an Adjunct Professor of Hong Kong University of Science and Technology. Prior to this, I was a Principal Researcher and Research Manager at Microsoft, where I have worked since 2001 in Microsoft Research Asia (MSRA) for 12 years and later joined Bing Multimedia, Microsoft Research (MSR, Redmond), and Microsoft Cloud & AI from 2013 to 2021. My research interests are in computer vision and machine learning. I am particularly intersted in generic visual recognition at large scale and was named as IEEE Fellow for my contributions in this area.

I have served as editorial board members for IEEE T-MM, T-CSVT, and Multimedia System Journal, as program co-chairs, area chairs, or committee members for many top conferences. I have published 150+ papers and hold 60+ US patents.

I received all my degrees (B.E., M.E., and Ph.D) in Computer Science from Tsinghua University.


Openings

I am hiring both researchers and engineers (all levels), and long-term interns working on computer vision, robotics, and machine learning in Shenzhen. If you are interested, please send me your resume with subject “Job application in IDEA” or “Intern application in IDEA”.


Recent Publications

  1. CvT: Introducing Convolutions to Vision Transformers
    Haiping Wu, Bin Xiao, Noel Codella, Mengchen Liu, Xiyang Dai, Lu Yuan and Lei Zhang
    International Conference on Computer Vision (ICCV), 2021
    @inproceedings{wu2021cvt,
      title = {CvT: Introducing Convolutions to Vision Transformers},
      author = {Wu, Haiping and Xiao, Bin and Codella, Noel and Liu, Mengchen and Dai, Xiyang and Yuan, Lu and Zhang, Lei},
      booktitle = {International Conference on Computer Vision (ICCV)},
      month = oct,
      year = {2021},
      code = {https://github.com/microsoft/CvT}
    }
    
  2. Multi-Scale Vision Longformer: A New Vision Transformer for High-Resolution Image Encoding
    Pengchuan Zhang, Xiyang Dai, Jianwei Yang, Bin Xiao, Lu Yuan, Lei Zhang and Jianfeng Gao
    International Conference on Computer Vision (ICCV), 2021
    @inproceedings{zhang2021msvit,
      title = {Multi-Scale Vision Longformer: A New Vision Transformer for High-Resolution Image Encoding},
      author = {Zhang, Pengchuan and Dai, Xiyang and Yang, Jianwei and Xiao, Bin and Yuan, Lu and Zhang, Lei and Gao, Jianfeng},
      booktitle = {International Conference on Computer Vision (ICCV)},
      month = oct,
      year = {2021},
      code = {https://github.com/microsoft/vision-longformer}
    }
    
  3. Dynamic DETR: End-to-End Object Detection with Dynamic Attention
    Xiyang Dai, Yinpeng Chen, Jianwei Yang, Pengchuan Zhang, Lu Yuan and Lei Zhang
    International Conference on Computer Vision (ICCV), 2021
    @inproceedings{dai2021dynamicdetr,
      title = {Dynamic DETR: End-to-End Object Detection with Dynamic Attention},
      author = {Dai, Xiyang and Chen, Yinpeng and Yang, Jianwei and Zhang, Pengchuan and Yuan, Lu and Zhang, Lei},
      booktitle = {International Conference on Computer Vision (ICCV)},
      month = oct,
      year = {2021}
    }
    
  4. MicroNet: Improving Image Recognition with Extremely Low FLOPs
    Yunsheng Li, Yinpeng Chen, Xiyang Dai, Dongdong Chen, Mengchen Liu, Lu Yuan, Zicheng Liu, Lei Zhang and Nuno Vasconcelos
    International Conference on Computer Vision (ICCV), 2021
    @inproceedings{li2021micronet,
      title = {MicroNet: Improving Image Recognition with Extremely Low FLOPs},
      author = {Li, Yunsheng and Chen, Yinpeng and Dai, Xiyang and Chen, Dongdong and Liu, Mengchen and Yuan, Lu and Liu, Zicheng and Zhang, Lei and Vasconcelos, Nuno},
      booktitle = {International Conference on Computer Vision (ICCV)},
      month = oct,
      year = {2021}
    }
    
  5. Improve Unsupervised Pretraining for Few-label Transfer
    Suichan Li, Dongdong Chen, Yinpeng Chen, Lu Yuan, Lei Zhang, Qi Chu, Bin Liu and Nenghai Yu
    International Conference on Computer Vision (ICCV), 2021
    @inproceedings{li2021improve,
      title = {Improve Unsupervised Pretraining for Few-label Transfer},
      author = {Li, Suichan and Chen, Dongdong and Chen, Yinpeng and Yuan, Lu and Zhang, Lei and Chu, Qi and Liu, Bin and Yu, Nenghai},
      booktitle = {International Conference on Computer Vision (ICCV)},
      month = oct,
      year = {2021}
    }
    
  6. Lite-HRNet: A Lightweight High-Resolution Network
    Changqian Yu, Bin Xiao, Changxin Gao, Lu Yuan, Lei Zhang, Nong Sang and Jingdong Wang
    Computer Vision and Pattern Recognition (CVPR), 2021
    @inproceedings{yu2021litehrnet,
      title = {Lite-HRNet: A Lightweight High-Resolution Network},
      author = {Yu, Changqian and Xiao, Bin and Gao, Changxin and Yuan, Lu and Zhang, Lei and Sang, Nong and Wang, Jingdong},
      booktitle = {Computer Vision and Pattern Recognition (CVPR)},
      month = jun,
      year = {2021},
      code = {https://github.com/HRNet/Lite-HRNet}
    }
    
  7. Unsupervised Part Segmentation through Disentangling Appearance and Shape
    Shilong Liu, Lei Zhang, Xiao Yang, Hang Su and Jun Zhu
    Computer Vision and Pattern Recognition (CVPR), 2021
    @inproceedings{liu2021unsupervised,
      title = {Unsupervised Part Segmentation through Disentangling Appearance and Shape},
      author = {Liu, Shilong and Zhang, Lei and Yang, Xiao and Su, Hang and Zhu, Jun},
      booktitle = {Computer Vision and Pattern Recognition (CVPR)},
      month = jun,
      year = {2021}
    }
    
  8. TAP: Text-Aware Pre-training for Text-VQA and Text-Caption
    Zhengyuan Yang, Yijuan Lu, Jianfeng Wang, Xi Yin, Dinei Florencio, Lijuan Wang, Cha Zhang, Lei Zhang and Jiebo Luo
    Computer Vision and Pattern Recognition (CVPR), 2021
    @inproceedings{yang2021tap,
      title = {TAP: Text-Aware Pre-training for Text-VQA and Text-Caption},
      author = {Yang, Zhengyuan and Lu, Yijuan and Wang, Jianfeng and Yin, Xi and Florencio, Dinei and Wang, Lijuan and Zhang, Cha and Zhang, Lei and Luo, Jiebo},
      booktitle = {Computer Vision and Pattern Recognition (CVPR)},
      month = jun,
      year = {2021}
    }
    
  9. Unsupervised Pre-training for Person Re-identification
    Dengpan Fu, Dongdong Chen, Jianmin Bao, Hao Yang, Lu Yuan, Lei Zhang, Houqiang Li and Dong Chen
    Computer Vision and Pattern Recognition (CVPR), 2021
    @inproceedings{fu2021unsupervised,
      title = {Unsupervised Pre-training for Person Re-identification},
      author = {Fu, Dengpan and Chen, Dongdong and Bao, Jianmin and Yang, Hao and Yuan, Lu and Zhang, Lei and Li, Houqiang and Chen, Dong},
      booktitle = {Computer Vision and Pattern Recognition (CVPR)},
      month = jun,
      year = {2021}
    }
    
  10. DAP: Detection-Aware Pre-training with Weak Supervision
    Yuanyi Zhong, Jianfeng Wang, Lijuan Wang, Jian Peng, Yu-Xiong Wang and Lei Zhang
    Computer Vision and Pattern Recognition (CVPR), 2021
    @inproceedings{zhong2021dap,
      title = {DAP: Detection-Aware Pre-training with Weak Supervision},
      author = {Zhong, Yuanyi and Wang, Jianfeng and Wang, Lijuan and Peng, Jian and Wang, Yu-Xiong and Zhang, Lei},
      booktitle = {Computer Vision and Pattern Recognition (CVPR)},
      month = jun,
      year = {2021}
    }