Suivre
Lei Yu
Lei Yu
Professor, School of Electronic and Information, Wuhan University
Adresse e-mail validée de whu.edu.cn - Page d'accueil
Titre
Citée par
Citée par
Année
A normalized Gaussian Wasserstein distance for tiny object detection
J Wang, C Xu, W Yang, L Yu
arXiv preprint arXiv:2110.13389, 2021
3212021
Sliding modes after the first decade of the 21st century
L Fridman, J Moreno, R Iriarte
Lecture notes in control and information sciences 412, 113-149, 2011
2912011
Compressive sensing with chaotic sequence
L Yu, JP Barbot, G Zheng, H Sun
IEEE Signal Processing Letters 17 (8), 731-734, 2010
2432010
Bayesian compressive sensing for cluster structured sparse signals
L Yu, H Sun, JP Barbot, G Zheng
Signal Processing, 2012
2212012
RFLA: Gaussian receptive field based label assignment for tiny object detection
C Xu, J Wang, W Yang, H Yu, L Yu, GS Xia
European conference on computer vision, 526-543, 2022
1202022
Event enhanced high-quality image recovery
B Wang, J He, L Yu, GS Xia, W Yang
Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020
1132020
Detecting tiny objects in aerial images: A normalized Wasserstein distance and a new benchmark
C Xu, J Wang, W Yang, H Yu, L Yu, GS Xia
ISPRS Journal of Photogrammetry and Remote Sensing 190, 79-93, 2022
1082022
Dot distance for tiny object detection in aerial images
C Xu, J Wang, W Yang, L Yu
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021
892021
Motion deblurring with real events
F Xu, L Yu, B Wang, W Yang, GS Xia, X Jia, Z Qiao, J Liu
ICCV, 2583-2592, 2021
892021
Unifying motion deblurring and frame interpolation with events
X Zhang, L Yu
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
762022
Compressive sensing for cluster structured sparse signals: variational bayes approach
L Yu, JP Barbot, G Zheng, H Sun
IET Signal Processing 10 (7), 770-779, 2016
722016
Det: A high-resolution dvs dataset for lane extraction
W Cheng, H Luo, W Yang, L Yu, S Chen, W Li
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019
602019
Dynamical sparse recovery with finite-time convergence
L Yu, G Zheng, JP Barbot
IEEE Transactions on Signal Processing 65 (23), 6146-6157, 2017
592017
GLF-CR: SAR-enhanced cloud removal with global–local fusion
F Xu, Y Shi, P Ebel, L Yu, GS Xia, W Yang, XX Zhu
ISPRS Journal of Photogrammetry and Remote Sensing 192, 268-278, 2022
572022
Compressive sensing matrix designed by tent map, for secure data transmission
M Frunzete, L Yu, JP Barbot, A Vlad
Signal Processing Algorithms, Architectures, Arrangements, and Applications …, 2011
562011
Dynamic coarse-to-fine learning for oriented tiny object detection
C Xu, J Ding, J Wang, W Yang, H Yu, L Yu, GS Xia
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
452023
Toeplitz-structured chaotic sensing matrix for compressive sensing
L Yu, JP Barbot, G Zheng, H Sun
2010 7th International Symposium on Communication Systems, Networks …, 2010
442010
Model based Bayesian compressive sensing via local beta process
L Yu, H Sun, G Zheng, JP Barbot
Signal Processing 108, 259-271, 2015
402015
Event-based Synthetic Aperture Imaging with a Hybrid Network
X Zhang, W Liao, L Yu, W Yang, GS Xia
CVPR 2021 (Oral), 14235-14244, 2021
332021
Frequency estimation of multiple sinusoids with three sub-Nyquist channels
S Huang, H Zhang, H Sun, L Yu, L Chen
Signal Processing 139, 96-101, 2017
332017
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