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

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

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

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 = {2023}
}

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}
}

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}
}