Lei Yu

Orcid: 0000-0002-7329-4631

Affiliations:
  • Wuhan University, School of Electronic and Information, China
  • Duke University, Durham, NC, USA (2016 - 2017)
  • INRIA, Rennes, France (2013 - 2014)
  • Wuhan University, Signal Processing, China (PhD 2012)


According to our database1, Lei Yu authored at least 77 papers between 2009 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Online presence:

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Bibliography

2024
Motion Deblur by Learning Residual From Events.
IEEE Trans. Multim., 2024

Neuromorphic Synergy for Video Binarization.
IEEE Trans. Image Process., 2024

2023
Learning to Super-Resolve Blurry Images With Events.
IEEE Trans. Pattern Anal. Mach. Intell., August, 2023

Learning to See Through With Events.
IEEE Trans. Pattern Anal. Mach. Intell., July, 2023

Facial feature embedded CycleGAN for VIS-NIR translation.
Multidimens. Syst. Signal Process., June, 2023

Single Image Deraining With Continuous Rain Density Estimation.
IEEE Trans. Multim., 2023

Motion Robust High-Speed Light-Weighted Object Detection With Event Camera.
IEEE Trans. Instrum. Meas., 2023

Learning to Extract Building Footprints From Off-Nadir Aerial Images.
IEEE Trans. Pattern Anal. Mach. Intell., 2023

CrossZoom: Simultaneously Motion Deblurring and Event Super-Resolving.
CoRR, 2023

"Seeing" Electric Network Frequency from Events.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Spiking Sparse Recovery With Non-Convex Penalties.
IEEE Trans. Signal Process., 2022

Instance Switching-Based Contrastive Learning for Fine-Grained Airplane Detection.
IEEE Trans. Geosci. Remote. Sens., 2022

A Data-Driven High-Resolution Time-Frequency Distribution.
IEEE Signal Process. Lett., 2022

Detecting Line Segments in Motion-blurred Images with Events.
CoRR, 2022

Detecting tiny objects in aerial images: A normalized Wasserstein distance and a new benchmark.
CoRR, 2022

Exploring the Potential of SAR Data for Cloud Removal in Optical Satellite Imagery.
CoRR, 2022

Learning Structured Sparsity For Time-Frequency Reconstruction.
Proceedings of the IEEE International Conference on Acoustics, 2022

RFLA: Gaussian Receptive Field Based Label Assignment for Tiny Object Detection.
Proceedings of the Computer Vision - ECCV 2022, 2022

Unifying Motion Deblurring and Frame Interpolation with Events.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Autofocus for Event Cameras.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Synthetic Aperture Imaging with Events and Frames.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Image super-resolution by learning weighted convolutional sparse coding.
Signal Image Video Process., 2021

A Normalized Gaussian Wasserstein Distance for Tiny Object Detection.
CoRR, 2021

Motion Deblurring with Real Events.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Event-Based Synthetic Aperture Imaging With a Hybrid Network.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Dot Distance for Tiny Object Detection in Aerial Images.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

2020
Robust Motion Compensation for Event Cameras With Smooth Constraint.
IEEE Trans. Computational Imaging, 2020

Algorithm to Compute Nonlinear Partial Observer Normal Form With Multiple Outputs.
IEEE Trans. Autom. Control., 2020

Distributed compressive sensing via LSTM-Aided sparse Bayesian learning.
Signal Process., 2020

Structured Bayesian learning for recovery of clustered sparse signal.
Signal Process., 2020

Efficient Spatial-Temporal Normalization of SAE Representation for Event Camera.
IEEE Robotics Autom. Lett., 2020

ULSD: Unified Line Segment Detection across Pinhole, Fisheye, and Spherical Cameras.
CoRR, 2020

Mixed Noise Removal with Pareto Prior.
CoRR, 2020

Structure-Aware Network for Lane Marker Extraction with Dynamic Vision Sensor.
CoRR, 2020

Matching Neuromorphic Events and Color Images via Adversarial Learning.
CoRR, 2020

Event-Based High Frame-Rate Video Reconstruction With A Novel Cycle-Event Network.
Proceedings of the IEEE International Conference on Image Processing, 2020

Aim-Net: Bring Implicit Euler to Network Design.
Proceedings of the IEEE International Conference on Image Processing, 2020

Robust Intensity Image Reconstruciton Based On Event Cameras.
Proceedings of the IEEE International Conference on Image Processing, 2020

Facial Feature Embedded Cyclegan For Vis-Nir Translation.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Image De-Raining Via RDL: When Reweighted Convolutional Sparse Coding Meets Deep Learning.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Event Enhanced High-Quality Image Recovery.
Proceedings of the Computer Vision - ECCV 2020, 2020

Implicit Euler ODE Networks for Single-Image Dehazing.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Dynamical sparse signal recovery with fixed-time convergence.
Signal Process., 2019

Block-sparsity recovery via recurrent neural network.
Signal Process., 2019

Learning Cluster Structured Sparsity by Reweighting.
CoRR, 2019

CRNet: Image Super-Resolution Using A Convolutional Sparse Coding Inspired Network.
CoRR, 2019

Facial Feature Embedded CycleGAN for VIS-NIR Translation.
CoRR, 2019

A Dynamical System With Fixed Convergence Time for Sparse Recovery.
IEEE Access, 2019

Image Denoising via Nonlocal Low Rank Approximation With Local Structure Preserving.
IEEE Access, 2019

Live Demonstration: Real-Time Vi-SLAM With High-Resolution Event Camera.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

DET: A High-Resolution DVS Dataset for Lane Extraction.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

2018
Image restoration via Bayesian dictionary learning with nonlocal structured beta process.
J. Vis. Commun. Image Represent., 2018

Line Spectral Estimation Based on Compressed Sensing with Deterministic Sub-Nyquist Sampling.
Circuits Syst. Signal Process., 2018

Image Super-Resolution via RL-CSC: When Residual Learning Meets Convolutional Sparse Coding.
CoRR, 2018

Cyber-Attack Reconstruction via Sliding Mode Differentiation and Sparse Recovery Algorithm: Electrical Power Networks Application.
Proceedings of the 15th International Workshop on Variable Structure Systems, 2018

2017
Dynamical Sparse Recovery With Finite-Time Convergence.
IEEE Trans. Signal Process., 2017

Underdetermined blind separation of overlapped speech mixtures in time-frequency domain with estimated number of sources.
Speech Commun., 2017

Corrigendum to 'Dynamic Recovery for Block Sparse Signals' [Signal Processing 130 (2016) 197-203].
Signal Process., 2017

Frequency estimation of multiple sinusoids with three sub-Nyquist channels.
Signal Process., 2017

Sparse Bayesian learning for image rectification with transform invariant low-rank textures.
Signal Process., 2017

2016
Iterative Time-Frequency Filtering of Sinusoidal Signals With Updated Frequency Estimation.
IEEE Signal Process. Lett., 2016

Compressive sensing for cluster structured sparse signals: variational Bayes approach.
IET Signal Process., 2016

A Class of Deterministic Sensing Matrices and Their Application in Harmonic Detection.
Circuits Syst. Signal Process., 2016

Frequency Estimation of Multiple Sinusoids with Sub-Nyquist Sampling Sequences.
CoRR, 2016

Bayesian framework for solving transform invariant low-rank textures.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

2015
Adaptive Bayesian Estimation with Cluster Structured Sparsity.
IEEE Signal Process. Lett., 2015

Model based Bayesian compressive sensing via Local Beta Process.
Signal Process., 2015

ESPRIT-based frequency estimation of multiple sinusoids with double-channel sub-Nyquist sampling.
CoRR, 2015

Joint Frequency Estimation with Two Sub-Nyquist Sampling Sequences.
CoRR, 2015

Group sparse LMS for multiple system identification.
Proceedings of the 23rd European Signal Processing Conference, 2015

2012
Bayesian compressive sensing for cluster structured sparse signals.
Signal Process., 2012

2011
Observability Forms for Switched Systems With Zeno Phenomenon or High Switching Frequency.
IEEE Trans. Autom. Control., 2011

Bayesian Compressive Sensing for clustered sparse signals.
Proceedings of the IEEE International Conference on Acoustics, 2011

2010
Compressive Sensing With Chaotic Sequence.
IEEE Signal Process. Lett., 2010

Toeplitz-structured Chaotic Sensing Matrix for Compressive Sensing.
Proceedings of the 7th International Symposium on Communication Systems Networks and Digital Signal Processing, 2010

2009
Algebraic observer for a class of switched systems with zeno phenomenon.
Proceedings of the 48th IEEE Conference on Decision and Control, 2009

Observability normal forms for a class of switched systems with zeno phenomena.
Proceedings of the American Control Conference, 2009


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