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.


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
Nov 1, 2022 One ECCV paper has been accepted in ECCV 2022.
Aug 22, 2022 We attend CCIG 2022 “Spike Vision Worshop”. Presentation

Selected Publications

  1. Unifying motion deblurring and frame interpolation with events
    Zhang Xiang, and Yu Lei ✉️
    In CVPR, 2022
    🔥 Self-supervised EVDI
  2. Autofocus for event cameras
    Lin Shijie, Zhang Y, Yu Lei, Zhou B., Luo X., and Pan Jian
    In CVPR, 2022
    🔥 Oral paper
  3. 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), 2022
    🔥 Top Journal
  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.