Minggui Teng

Minggui Teng

PhD. student of Computer Science

Peking University

Biography

I am a third year PhD. 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.

Education
  • B.S. in Computer Science, 2021

    Peking University

  • B.H. in History, 2021

    Peking University

Publications

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(2023). All-in-focus Imaging from Event Focal Stack. In CVPR 2023.

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(2023). Polarization Guided HDR Reconstruction via Pixel-Wise Depolarization. In TIP 2023.

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(2023). Deblurring Low-Light Images with Events. In IJCV 2023.

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(2023). Polarization-Aware Low-Light Image Enhancement. In AAAI 2023.

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(2022). NEST: Neural Event Stack for Event-based Image Enhancement. In ECCV 2022.

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(2022). A Residual Learning Approach to Deblur and Generate High Frame Rate Video with an Event Camera. In TMM 2022 (Early Access).

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(2021). Learning to Dehaze with Polarization. In NeurIPS 2021.

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Experience

  • Reviewer of Conferences: CVPR, ICCV, ECCV

  • Undergraduate Student Mentor, EECS of Peking University, 2021/9-Present

  • Teaching Assistant, Computational Photography, Spring 2021-2022