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. Our paper Spiking Sparse Recovery with Non-convex Penalties’’ has been accepted by IEEE TSP. Our paper Learning to See Through with Events’’ on E-SAI has been accepted by IEEE TPAMI. Paper, Project, Arxiv One ECCV paper has been accepted in ECCV 2022. We attend CCIG 2022 “Spike Vision Worshop”. Presentation

## Selected Publications

1. Unifying motion deblurring and frame interpolation with events
In CVPR, 2022
🔥 Self-supervised EVDI
2. Autofocus for event cameras
In CVPR, 2022
🔥 Oral paper
3. Learning to Super-Resolve Blurry Images with Events
IEEE Transactions on Pattern Recognition and Machine Intelligence (TPAMI), 2022
🔥 Top Journal
4. Event-based Synthetic Aperture Imaging with a Hybrid Network
In CVPR, 2021
🔥 Oral, Best Paper Candidate
5. Motion Deblurring with Real Events
In ICCV, 2021
🔥 A new framework to learn deblurring with real-world events
6. Event enhanced high-quality image recovery
In ECCV, 2020
🔥 An approach to super-resolve blurry images with events.
7. Robust motion compensation for event cameras with smooth constraint
IEEE Transactions on Computational Imaging, 2020
8. Dynamical sparse recovery with finite-time convergence
IEEE Transactions on Signal Processing, 2017
🔥 TOP Journal. Recover sparse signals with analog circuits.
9. Bayesian compressive sensing for cluster structured sparse signals
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
IEEE Transactions on Automatic Control, 2010
🔥 Top Journal
11. Compressive sensing with chaotic sequence
IEEE Signal Processing Letters, 2010
🔥 A theoretical analysis of chaotic compressive sensing.