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
2025
Monochromatic Event Guided Image Deblurring with Event-triggering-aware Decomposition
@inproceedings{teng2025evrgbdeblur,title={ Monochromatic Event Guided Image Deblurring with Event-triggering-aware Decomposition },author={ Teng, Minggui and Li, Boyu and Yang, Yixin and Zhou, Chu and Chen, Yan and Ren, Jimmy S. and Shi, Boxin },booktitle={ Proc. of International Conference on Computer Vision Workshops },year={ 2025 },}
2024
Hybrid All-in-focus Imaging from Neuromorphic Focal Stack
@article{teng2024nfs,title={ Hybrid All-in-focus Imaging from Neuromorphic Focal Stack },author={ Teng, Minggui and Lou, Hanyue and Yang, Yixin and Huang, Tiejun and Shi, Boxin },journal={ IEEE Transactions on Pattern Analysis and Machine Intelligence },year={ 2024 },}
@inproceedings{lou2023all,title={ All-in-focus Imaging from Event Focal Stack },author={ Lou, Hanyue and Teng, Minggui and Yang, Yixin and Shi, Boxin },booktitle={ Proc. of Computer Vision and Pattern Recognition },year={ 2023 },pages={ 17366β17375 },}
A Residual Learning Approach to Deblur and Generate High Frame Rate Video with an Event Camera
@article{chen2023residual,title={ A Residual Learning Approach to Deblur and Generate High Frame Rate Video with an Event Camera },author={ Chen, Haoyu and Teng, Minggui and Shi, Boxin and Wang, Yizhou and Huang, Tiejun },journal={ IEEE Transactions on Multimedia },year={ 2023 },pages={ 5826β5839 },volume={ 25 },}
2022
NEST: Neural Event Stack for Event-Based Image Enhancement
@inproceedings{teng2022nest,title={ NEST: Neural Event Stack for Event-Based Image Enhancement },author={ Teng, Minggui and Zhou, Chu and Lou, Hanyue and Shi, Boxin },booktitle={ Proc. of European Conference on Computer Vision },year={ 2022 },pages={ 660β676 },}
Monochromatic Event Guided Image Deblurring with Event-triggering-aware DecompositionIn Proc. of International Conference on Computer Vision Workshops, 2025
