Biography

My name is Zixing Lei(雷梓行) and you can just call me Elwood. Currently I am a master student in the Cooperative Medianet Innovation Center(CMIC) of Shanghai Jiao Tong University(SJTU), supervised by Prof. Siheng Chen. My research interests include computer vision, embodied AI and multi-robots perception.

Interests
  • Computer Vision
  • Emboided AI
  • Multi-Modality 3D Understanding
Education
  • MEng in Electronic Information, 2021-2024

    Shanghai Jiao Tong Univerisity

  • BSc in Information Engineering, 2017-2021

    Shanghai Jiao Tong Univerisity

Recent Publications

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Recent Talks

Experience

 
 
 
 
 
Graphic Software Engineering Intern
June 2020 – May 2021 Shanghai
  • Developed an automatic tools for Intel DG2 GPU to test the quality of encoded gaming video and adaptively adjust encoding parameters for Intel cloud gaming and live-streaming experience.
  • Developed VMAF for gaming, a machine learning model to evaluate encoded video by learning human audience judgement specifically tuning on videos of popular gaming such as league of legends and overwatch.
 
 
 
 
 
With WWF and Intel
Video ReID of Endangered Amur Tigers
September 2019 – July 2020 Shanghai
  • Collect video data in order to ReID amur tigers with deep learning methods to help to track them in natural reserve.
  • Established an amur tiger ReID dataset with object detection and Multiple Object Tracking methods.
  • Created a video ReID method which is 7% more accurate than the previous image ReID method for amur tigers.
 
 
 
 
 
Computer Vision Engineering Intern
January 2024 – March 2024 Shanghai
  • I am leveraging the excited vision language model to improve the performance of the governance system in TikTok.
  • I am wokring on the efficient, robust and interpretable large multi-modal models, especially focus on COT technology.