DVS-Group

Associate Professor
School of Electronic and Informaion
Wuhan University
ly.wd@whu.edu.cn

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.

News

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

Unifying motion deblurring and frame interpolation with events

Zhang Xiang, and Yu Lei ✉️

In CVPR, 2022

🔥 Self-supervised EVDI

arXiv Bib Code
@inproceedings{Zhang2022, title = {Unifying motion deblurring and frame interpolation with events}, author = {Zhang, Xiang and Yu, Lei}, booktitle = {CVPR}, year = {2022} }

Autofocus for event cameras

Lin Shijie, Zhang Y, Yu Lei, Zhou B., Luo X., and Pan Jian

In CVPR, 2022

🔥 Oral paper

arXiv Bib Code

@inproceedings{Lin2022,
  title = {Autofocus for event cameras},
  author = {Lin, Shijie and Zhang, Y and Yu, Lei and Zhou, B. and Luo, X. and Pan, Jian},
  booktitle = {CVPR},
  year = {2022}
}

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

Bib Code

@article{yu2022b,
  author = {Yu, Lei and Wang, Bishan and Zhang, Xiang and Zhang, Haijian and Yang, Wen and Liu, Jianzhuang and Xia, Guisong},
  journal = {IEEE Transactions on Pattern Recognition and Machine Intelligence (TPAMI)},
  number = {0},
  title = {Learning to Super-Resolve Blurry Images with Events},
  volume = {0},
  year = {2022}
}

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

arXiv Bib Code Slides

@inproceedings{zhang2021,
  title = {Event-based {Synthetic} {Aperture} {Imaging} with a {Hybrid} {Network}},
  booktitle = {CVPR},
  author = {Zhang, Xiang and Liao, Wei and Yu, Lei and Yang, Wen and Xia, Gui-Song},
  year = {2021},
  pages = {14235--14244}
}

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

Bib Code

@inproceedings{xu2021,
  author = {Xu, Fang and Yu, Lei and Wang, Bishan and Yang, Wen and Xia, Guisong and Jia, Xu and Qiao, Zhendong and Liu, Jianzhuang},
  title = {Motion Deblurring with Real Events},
  booktitle = {ICCV},
  year = {2021}
}

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.

Bib HTML PDF Code

@inproceedings{wang2020k,
  title = {Event enhanced high-quality image recovery},
  booktitle = {ECCV},
  author = {Wang, Bishan and He, Jingwei and Yu, Lei and Xia, Gui-Song and Yang, Wen},
  year = {2020},
  pages = {155--171}
}

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

Bib

@article{xu2020a,
  title = {Robust motion compensation for event cameras with smooth constraint},
  volume = {6},
  journal = {IEEE Transactions on Computational Imaging},
  author = {Xu, Jie and Jiang, Meng and Yu, Lei and Yang, Wen and Wang, Wenwei},
  year = {2020},
  pages = {604--614}
}

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.

Bib

@article{yu2017,
  title = {Dynamical sparse recovery with finite-time convergence},
  volume = {65},
  number = {23},
  journal = {IEEE Transactions on Signal Processing},
  author = {Yu, Lei and Zheng, Gang and Barbot, Jean-Pierre},
  year = {2017},
  pages = {6146--6157}
}

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

Bib HTML Code

@article{yu2012,
  title = {Bayesian compressive sensing for cluster structured sparse signals},
  volume = {92},
  number = {1},
  journal = {Signal processing},
  author = {Yu, Lei and Sun, Hong and Barbot, Jean-Pierre and Zheng, Gang},
  year = {2012},
  pages = {259--269}
}

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

Bib

@article{yu2010g,
  title = {Observability forms for switched systems with zeno phenomenon or high switching frequency},
  volume = {56},
  number = {2},
  journal = {IEEE Transactions on Automatic Control},
  author = {Yu, Lei and Barbot, Jean-Pierre and Boutat, Driss and Benmerzouk, Djamila},
  year = {2010},
  pages = {436--441}
}

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.

Bib

@article{yu2010f,
  title = {Compressive sensing with chaotic sequence},
  volume = {17},
  number = {8},
  journal = {IEEE Signal Processing Letters},
  author = {Yu, Lei and Barbot, Jean Pierre and Zheng, Gang and Sun, Hong},
  year = {2010},
  pages = {731--734}
}