业绩考核

OA系统

各系教师

余磊

余磊

电话:

邮箱:ly.wd@whu.edu.cn

办公地点:武汉市武昌区珞珈山电子信息学院

个人主页:http://dvs-whu.cn

研究方向:事件脉冲视觉感知、信号处理、图像处理

导师类型:博导/硕导

个人简介

2002-2006,武汉大学电子信息学院,电子信息工程专业,本科

2006-2012,武汉大学电子信息学院,信号与信息处理专业,博士

2007-2011,法国ENSEA/UCP大学,信息与自动化专业,博士

主讲课程

2023年春,信号与系统,本科专业必修

2014-2023年秋,数字信号处理,本科专业必修

2015,2017-2019,Matlab及其应用,全校公选课


2015年,最优化理论基础,研究生专业必修

2014-2019年,现代数字信号处理,研究生专业必修

2020-2023年,统计信号分析与处理,博士研究生专业必修

2023年,论文写作与指导,研究生专业选修课

主要科研课题及项目

稀疏信号处理、基于事件的视觉感知和处理

主持国家或省部级项目:

2023-2026,国家自然科学基金面上项目:融合事件流的模糊图像重建

2021-2022,湖北省自然科学基金面上项目:基于事件相机的高帧率图像重建

2019-2022,国家自然科学基金面上项目:快速模拟稀疏重建

2015-2017,国家自然科学基金青年项目:结构性稀疏信号的动态系统建模与恢复

2015-2016,教育部留学归国人员科研启动基金


主持其他纵向项目:

2021-2021,重点实验室科研:基于事件相机的高速成像

2018-2019,上海市人工智能专项:雷达与视觉融合

2020-2021,中央高校青年项目:基于稀疏表示的事件相机图像重建

2017-2018,中央高校交叉合作:快速动态稀疏信号恢复算法

2014-2015,中央高校自主科研:结构性稀疏信号的动态求解算法


主持产学研项目:

2022-2023,头部企业横向项目:基于事件相机的视频增强

2021-2022,头部企业横向项目:基于融合的事件相机运动估计

2017-2019,企业横向课题: 汽车360环视自适应全景系统

2015-2016,企业横向课题:汽车三维360度全景系统

代表性论文论著

近年来在TSP、SP、CVPR、ECCV等信号处理、计算机视觉领域的顶级期刊和会议上发表论文40余篇。*标记为通讯作者。

[2024]

1. Huai Yu, Hao Li, Wen Yang*, Lei Yu*, Gui-Song Xia,Detecting Line Segments in Motion-blurred Images with Events, IEEE Trans. on PAMI, 2024.


[2023]
1. L Yu*, X Zhang, W Liao, W Yang, GS Xia, Learning to See Through with Events, IEEE Trans. on PAMI, 2023.
2. L Yu*, B Wang, X Zhang, H Zhang, W Yang, J Liu, GS Xia, Learning to Super-Resolve Blurry Images with Events, IEEE Trans. on PAMI, 2023.
3. H Wang, H Zhang,L Yu, X Yang, Facial Feature Embedded CycleGAN for VIS-NIR Translation, Multidimential Systems and Signal Processing, 2023.
4. Zhang Xiang, Yu Lei*, Yang Wen, Liu Jianzhuang, Xia Gui-Song, Generalizing Event-Based Motion Deblurring in Real-World Scenarios, ICCV,    2023.

[2022]
1. Liao Wei, Zhang Xiang, Yu Lei*, et. al, Synthetic    Aperture Imaging with Events and Frames, CVPR, 2022.[Code]
2. Zhang Xiang, Yu Lei*, Unifying motion deblurring and frame interpolation with events, CVPR, 2022.[Code]
3. Lin Shijie, Zhang Y., Yu Lei, Autofocus for event cameras, CVPR, 2022. (大会口头报告) [Code]
4. Xiang Zhang, Lei Yu*, Gang Zheng, YC Eldar, Spking Sparse Recovery with Non-Convex Penalties, IEEE Trans. on Signal Processing, 2022.
5. Jinwang Wang, L Meng, W    Li, W Yang, L Yu, GS Xia, Learning to Extract Building Footprints from Off-Nadir Aerial    Images, IEEE TPAMI, 2022.
6. L Jiang, H Zhang, L Yu, Learning Structured Sparsity for Time-Frequency Reconstruction, ICASSP, 2022.
7. L Jiang, H Zhang, L Yu, G Hua, A Data-Driven High-Resolution Time-Frequency Distribution, IEEE SPL, 2022.
8. C Xu, J Wang, W Yang, H Yu, L Yu, GS Xia, Detecting tiny objects in aerial images: A normalized Wasserstein distance and a new    benchmark, ISPRS J P & RS, 2022.
9. F Xu, Y Shi, P Ebel, L Yu, GS Xia, W Yang, XX Zhu,GLF-CR: SAR-Enhanced Cloud Removal with Global-local Fusion, ISPRS J P & RS, 2022.
10. L Zeng, H Guo, W Yang, H Yu, L Yu, P Zhang, T Zou, Instance Switching-based Contrastive Learning for Fine-Grained Airplane Detection, IEEE TGRS, 2022.
11. C Xu, J Wang, W Yang, H Yu, L Yu, GS Xia, RFLA:Gaussian Receptive Field based Label Assignment for tiny Object Detection, ECCV 2022.
12. K Chen, H Yu, W Yang,L Yu, S Scherer, GS Xia, I2D-Loc: Camera Localization via Image to LiDAR Depth Flow, ISPRS J P & RS, 2022.
13. Q Wan, et. al, 2022 Roadmap on Neurophic Devices and Applications Research in China, Neuromorphic Computing and Engineering, 2023.


[2021]
1. Xu Fang, Yu Lei*, et. al, Motion Deblurring with Real Events, ICCV, 2021.
2. Xiang Zhang, Wei Liao, Lei Yu*, Wen Yang, Gui-song Xia, Event-based Synthetic Aperture Imaging    with a Hybrid Network, CVPR, 2021. [Project Page] 最佳论文候选 32/7093=0.45%
3. H Li, H Yu, J Wang, W Yang*, L Yu*, S Scherer, ULSD: Unified line segment detection across    pinhole, fisheye, and spherical cameras, ISPRS Journal of Photogrammetry and Remote Sensing, vol 178, p 187-202,    2021. [Project]

[2020]
1. Bishan Wang, Jingwei He, Lei Yu*, Wen Yang, Guisong Xia, Event Enhanced High Quality Image    Recovery, ECCV, 2020. [Project, Blog]    2. Jiawei Shen, Zhuoyan Li, Lei Yu*, Guisong Xia, Wen Yang, Implicit Euler ODE Networks for Single-Image Dehazing, CVPR Workshop, 2020. [Project Page]
3. S Lin, F Xu, X Wang, W Yang, L Yu, Efficient Spatial-Temporal Normalization of SAE Representation for Event Camera, IEEE Robotics and Automation Letters 5 (3), 4265-4272. [[Project Page]
4. B Su, L Yu*, W Yang, Event-Based High Frame-Rate Video Reconstruction With A Novel Cycle-Event Network, ICIP 2020.    

5.Meng Jiang, Zhou Liu, Bishan Wang, Lei Yu*, Wen Yang, Robust Intensity Image Reconstruciton Based On Event Cameras, ICIP 2020.
6. Haijian Zhang, Wusheng Zhang, Lei Yu*, Guoan Bi, Distributed compressive sensing via LSTM-Aided sparse Bayesian learning, Signal Processing, 176, 107656, 2020.
7. 余磊*,廖伟,周游龙,杨文,夏桂松,基于事件相机的合成孔径成像,自动化学报,2020.
8. J He, L Yu*, W Yang, Image De-Raining Via RDL: When Reweighted Convolutional Sparse Coding Meets Deep Learning, ICASSP, 2020.
9. J Xu, M Jiang, L Yu*, W Yang, W Wang, Robust motion compensation for event cameras with smooth constraint, IEEE Trans. Computational Imaging, 6, 604-614, 2020.
10. L Wang, L Zhao, L Yu*, J Wang, G Bi, Structured Bayesian learning for recovery of clustered sparse signal,Signal Processing, 166, 107255, 2020.

[2019]
1. Wided Saadi, Driss Boutat,Gang Zheng, Lassaad Sbita, Lei Yu, Algorithm to compute nonlinear partial observer normal form    with multiple outputs, IEEE Transactions on Automatic Control, 65, 6, 2700-2707, 2019.
2. J Ren, L Yu*, C Lyu, G Zheng, JP Barbot, H Sun, Dynamical sparse signal recovery with fixed-time    convergence, Signal Processing 162, 65-74.
3. G Yang, Q Ye, W He, L Zhou, X Chen, L Yu*,W Yang, S Chen, W Li, Live Demonstration: Real-time VI-SLAM with High-Resolution Event Camera, CVPR Workshop, 2019.
4. W Cheng, H Luo, W Yang, L Yu, S Chen, W Li, DET: A high-resolution DVS dataset for lane    extraction, CVPR Workshop, 2019. [Project Page]
5. C Lyu,Z Liu, L Yu*, Block-sparsity recovery via recurrent neural network, Signal Processing 154, 129-135,2019.

[2018 and before]
1. S Huang, H Sun, H Zhang, L Yu,Line Spectral Estimation Based on Compressed Sensing with Deterministic Sub-Nyquist Sampling, Circuits, Systems, and Signal Processing 37 (4), 1777-1788.
2. Z Liu, L Yu*, H Sun, Image restoration via Bayesian dictionary learning with nonlocal structured beta process, Journal of Visual Communication and Image Representation 52, 159-169.
3. S Huang, H Zhang, H Sun, L Yu, L Chen, Frequency estimation of multiple sinusoids with three sub-Nyquist channels. Signal Processing 139,96-101.
4. L Yu*, G Zheng, JP Barbot. Dynamical sparse recovery with finite-time    convergence. IEEE Transactions on Signal Processing 65 (23), 6146-6157, 2017.
5. S Hu, Z Liu, L Yu*, H Sun, Sparse Bayesian learning for image rectification with transform invariant low-rank textures. Signal Processing 137, 298-308, 2017.

More publication list can be referred from my Google Scholar.

主要学术组织任职

1. IEEE会员
2. 以下期刊/会议审稿人:
CVPR、ICCV、ECCV
IEEE Trans. on Pattern Analysis and Machine Intellegence
IEEE Trans. on Signal Processing
Elsevier Signal Processing
IEEE Signal Processing Letters

荣誉获奖

科研获奖&人才项目:
1. 2021年CVPR最佳论文候选(Best Paper Candidate,32/7093)
2. 2021年ISPRS J P&RS年度最佳论文
3. 2016年武汉大学珞珈青年学者
4. 2013年湖北省楚天学子人才项目
教学指导获奖:
1. 全国研究生电子设计竞赛优秀指导教师
2. 湖北省/武汉大学优秀学士学位论文指导教师
3. 2021年荣获学院“我心中的好导师”
 

指导学生情况

本科生:
2012级  翁新硕(美国卡内基梅隆大学)、戴露(美国东北大学)
研究生:
2014级  贾静源(合作导师、广州电信)、胡诗卉(合作导师、科大讯飞)
2015级  魏晨(法国巴黎电信)、李暖暖(国家电网)
2016级  张梦磊(京东)、吕成城(海康威视)
2017级  江盟(国家电网)、袁琼雯(农业银行)、许杰(合作导师、华为)
2018级  杨公宇(字节跳动)、陈欣宇(贝壳找房)、叶琪琳(合作导师、深圳腾讯)
2019级  何敬伟(汇顶科技)、罗美露()、周游龙(中原电子)、周立凤(中原电子)
2019级  王碧杉(腾讯)、付婧祎(国家电网)
2020级  张翔(EPFL)、廖伟(时识科技)、周惟宜(成都高新区)

团队招收信号处理、图像/视频处理、机器视觉、机器人方向的研究生、博士生,欢迎高年级本科生参观实验室(信号处理研究室),开展大学生科研创新活动!

学院地址: 湖北省武汉市武昌区八一路299号 (430072)

Address:No.299 Bayi Road,Wuhan,Hubei(P.R.C.:430072)

联系电话 (Tel) :(+86)27-68756275/68778537

传真 (Fax) :(+86)27-68778537

网址 (Http) : Http://eis.whu.edu.cn

联系邮箱 (Email) : eisyb@whu.edu.cn

武汉大学电子信息学院

官方微信公众号


© Copyright 2023 武汉大学电子信息学院 版权所有 访问量:56682