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|
Learning to Super-Resolve Blurry Images with EventsIEEE Transactions on Pattern Recognition and Machine Intelligence (TPAMI), 2023🔥 Top Journal
Unifying motion deblurring and frame interpolation with eventsIn CVPR, 2022🔥 Self-supervised EVDI
Autofocus for event camerasIn CVPR, 2022🔥 Oral paper
Event-based Synthetic Aperture Imaging with a Hybrid NetworkIn CVPR, 2021🔥 Oral, Best Paper Candidate
Motion Deblurring with Real EventsIn ICCV, 2021🔥 A new framework to learn deblurring with real-world events
Event enhanced high-quality image recoveryIn ECCV, 2020🔥 An approach to super-resolve blurry images with events.
Robust motion compensation for event cameras with smooth constraintIEEE Transactions on Computational Imaging, 2020
Dynamical sparse recovery with finite-time convergenceIEEE Transactions on Signal Processing, 2017🔥 TOP Journal. Recover sparse signals with analog circuits.
Bayesian compressive sensing for cluster structured sparse signalsSignal processing, 2012🔥 A nonparametric approach to recover cluster / block sparse signals
Observability forms for switched systems with zeno phenomenon or high switching frequencyIEEE Transactions on Automatic Control, 2010🔥 Top Journal
Compressive sensing with chaotic sequenceIEEE Signal Processing Letters, 2010🔥 A theoretical analysis of chaotic compressive sensing.