Yu Lei

Associate Professor
School of Electronic and Informaion
Wuhan University

I am currently an Associate Professor of the School of Electronic and Information at Wuhan University and leading a group DVS-WHU in the SPLab which is devoted for event-based perception. In general my research interest includes signal processing, deep learning and computer vision. Specifically, I am currently interested in:

  • Sparse Signal Recovery
  • Neuromorphic Computation
  • Event-based Image Enhancement and Visual Perception

Previously, I received the Bachelor and PhD degrees in Signal and Information Processing in 2006 and 2012, respectively, both from Wuhan University. I also got a PhD degree in Automatic Control from ENSEA/Université de Cergy-Pontoise, Cergy, France, in November 2011. From December 2011 to March 2013, I held a Postdoctoral position in Empenn (former name: ViSaGe), working with Prof. Rémi Gribonval and Prof. Christian Barillot. From March 2016 to March 2017, I was working at Duke University as a visiting scholar.


Sep 1, 2023 Two papers have been accepted by ICCV 2023.
May 1, 2023 Two papers have been accepted by CVPR 2023.
Jan 23, 2023 Our paper ``Learning to Super-Resolve Blurry Images with Events’’ has been accepted by IEEE TPAMI.
Dec 31, 2022 Our paper ``Spiking Sparse Recovery with Non-convex Penalties’’ has been accepted by IEEE TSP.
Dec 15, 2022 Our paper ``Learning to See Through with Events’’ on E-SAI has been accepted by IEEE TPAMI. Paper, Project, Arxiv

Selected Publications

  1. Learning to Super-Resolve Blurry Images with Events
    Yu Lei ✉️, Wang Bishan, Zhang Xiang, Zhang Haijian, Yang Wen, Liu Jianzhuang, and Xia Guisong
    IEEE Transactions on Pattern Recognition and Machine Intelligence (TPAMI), 2023
    🔥 Top Journal
  2. Unifying motion deblurring and frame interpolation with events
    Zhang Xiang, and Yu Lei ✉️
    In CVPR, 2022
    🔥 Self-supervised EVDI
  3. Autofocus for event cameras
    Lin Shijie, Zhang Y, Yu Lei, Zhou B., Luo X., and Pan Jian
    In CVPR, 2022
    🔥 Oral paper
  4. Event-based Synthetic Aperture Imaging with a Hybrid Network
    Zhang Xiang, Liao Wei, Yu Lei ✉️, Yang Wen, and Xia Gui-Song
    In CVPR, 2021
    🔥 Oral, Best Paper Candidate
  5. Motion Deblurring with Real Events
    Xu Fang, Yu Lei ✉️, Wang Bishan, Yang Wen, Xia Guisong, Jia Xu, Qiao Zhendong, and Liu Jianzhuang
    In ICCV, 2021
    🔥 A new framework to learn deblurring with real-world events
  6. Event enhanced high-quality image recovery
    Wang Bishan, He Jingwei, Yu Lei ✉️, Xia Gui-Song, and Yang Wen
    In ECCV, 2020
    🔥 An approach to super-resolve blurry images with events.
  7. Robust motion compensation for event cameras with smooth constraint
    Xu Jie, Jiang Meng, Yu Lei ✉️, Yang Wen, and Wang Wenwei
    IEEE Transactions on Computational Imaging, 2020
  8. Dynamical sparse recovery with finite-time convergence
    Yu Lei ✉️, Zheng Gang, and Barbot Jean-Pierre
    IEEE Transactions on Signal Processing, 2017
    🔥 TOP Journal. Recover sparse signals with analog circuits.
  9. Bayesian compressive sensing for cluster structured sparse signals
    Yu Lei ✉️, Sun Hong, Barbot Jean-Pierre, and Zheng Gang
    Signal processing, 2012
    🔥 A nonparametric approach to recover cluster / block sparse signals
  10. Observability forms for switched systems with zeno phenomenon or high switching frequency
    Yu Lei ✉️, Barbot Jean-Pierre, Boutat Driss, and Benmerzouk Djamila
    IEEE Transactions on Automatic Control, 2010
    🔥 Top Journal
  11. Compressive sensing with chaotic sequence
    Yu Lei ✉️, Barbot Jean Pierre, Zheng Gang, and Sun Hong
    IEEE Signal Processing Letters, 2010
    🔥 A theoretical analysis of chaotic compressive sensing.