Minggui Teng (滕明桂)

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I am a second year Ph.D. student in the School of Computer Science, Peking University, advised by Prof. Boxin Shi at Camera Intelligence Lab. My current research area is Computational Photography and I mainly focus on neuromorphic cameras (e.g. DVS, Prophesee, Vidar). I hope to combine neuromorphic cameras with deep learning to build the next generation of camera systems through super-human visual sensing and computing.

I obtained my B.S. in Computer Science from the School of EECS as well as my B.H. in History from the Department of History at Peking University in 2021. During my undergraduate studies, I mainly worked on low-quality image enhancement guided by event cameras. And I am also interested in contemporary world history, especially the history of science and technology.

Selected Publications


# Equal Contribution * Corresponding authors

All-in-focus Imaging from Event Focal Stack
Hanyue Lou#, Minggui Teng#, Yixin Yang, Boxin Shi*
In Computer Vision and Pattern Recognition, 2023.
NEST: Neural Event Stack for Event-based Image Enhancement
Minggui Teng, Chu Zhou, Hanyue Lou, and Boxin Shi*
In European Conference on Computer Vision, 2022.
pdf code
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
In IEEE Transactions on Multimedia, 2022 (Early Access).
pdf

Services


  • Reviewer of Conferences: CVPR, ICCV, ECCV
  • Undergraduate Student Mentor, EECS of Peking University, 2021/9-Present
  • Teaching Assistant, Computational Photography, Spring 2021-2022