Minggui Teng (ζ»•ζ˜Žζ‘‚)


I am a final-year Ph.D. student in the School of Computer Science at Peking University, advised by Prof. Boxin Shi at the Camera Intelligence Lab. Previously, I was a research intern at Apple, working with Sijie Song and Jun Hu. My current research interests lie in Computational Photography and Generative AI, with a primary focus on neuromorphic cameras and video generation.

My goal is to reimagine the future of camera systems by integrating neuromorphic cameras or advanced generative models, unlocking new possibilities in how we capture and create visual experiences. As an amateur photographer, I enjoy capturing the world through my lens. Explore gallery to see images in the recent time.

I obtained my B.S. in Computer Science from the School of EECS and my B.H. in History from the Department of History at Peking University in 2021. During my undergraduate studies, I concentrated on low-quality image enhancement guided by event cameras. In addition, I maintain a strong interest in contemporary world history, particularly the history of science and technology.



Selected Publications

* Equal Contribution Corresponding Author

2024

  1. Thumbnail for Hybrid All-in-focus Imaging from Neuromorphic Focal Stack
    Hybrid All-in-focus Imaging from Neuromorphic Focal Stack
    Minggui Teng, Hanyue Lou, Yixin Yang, Tiejun Huang, and Boxin Shi
    IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024

2023

  1. Thumbnail for All-in-focus Imaging from Event Focal Stack
    All-in-focus Imaging from Event Focal Stack
    Hanyue Lou*, Minggui Teng*, Yixin Yang, and Boxin Shi
    In Proc. of Computer Vision and Pattern Recognition, 2023
  2. Thumbnail for A Residual Learning Approach to Deblur and Generate High Frame Rate Video with an Event Camera
    A Residual Learning Approach to Deblur and Generate High Frame Rate Video with an Event Camera
    Haoyu Chen*, Minggui Teng*, Boxin Shi, Yizhou Wang, and Tiejun Huang
    IEEE Transactions on Multimedia, 2023

2022

  1. Thumbnail for NEST: Neural Event Stack for Event-Based Image Enhancement
    NEST: Neural Event Stack for Event-Based Image Enhancement
    Minggui Teng, Chu Zhou, Hanyue Lou, and Boxin Shi
    In Proc. of European Conference on Computer Vision, 2022


Services


  • Reviewer of Conferences: CVPR 2023/2024, ICCV 2023/2025, ECCV 2022/2024, NeurIPS 2025, ICML 2025, AAAI 2025/2026, MM 2025
  • Reviewer of Journal: TPAMI, TIP, TCSVT, TCI
  • Undergraduate Student Mentor: Turing Class, EECS, Peking University, 2021/9-2025/7
  • Teaching Assistant: Computational Photography, Spring 2021-2022
  • Teaching Assistant: Ideological & Moral Cultivation and Fundamentals of Law, Autumn 2021-2022


Experiences