业绩考核

OA系统

师资力量

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

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IEEE TPAMI、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50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.

2. Lexuan Xu, Guang Hua, Haijian Zhang*, Lei Yu*, "Seeing" ENF from Neuromorphic Events: Modeling and Robust Estimation, IEEE Trans. on PAMI, 2024.

3. Chi Zhang, Xiang Zhang, Mingyuan Lin, Cheng Li, Chu He, Wen Yang, Gui-Song Xia, Lei Yu*, CrossZoom: Simultaneous Motion Deblurring and Event Super-Resolving, IEEE Trans. on PAMI, 2024.

4. Chao Ding, Mingyuan Lin, Haijian Zhang*, Jianzhuang Liu, Lei Yu*, Video Frame Interpolation with Stereo Event and Intensity Camera, IEEE Trans. on Multimedia, 2024.

5. Kang Chen (本科生), Lei Yu*, Motion Deblur by Learning Residual From Events, IEEE Trans. Multimedia, 2024.

6. Yangguang Wang, Chenxu Jiang, Xu Jia, Yufei Guo, Lei Yu*, Event-based Shutter Unrolling and Motion Deblurring in Dynamic Scenes, IEEE Signal Processing Letters, 2024.

7. Haiyang Jiang, Songhao Piao*, Huai Yu, Wei Li, Lei Yu*, Robust Visual Place Recognition for Severe Appearance Changes, IEEE RAL, 2024.

8. Pengyu Zhang, Xu Jia, Hao Ju, Lei Yu, Weihua He, Yaoyuan Wang, Ziyang Zhang, Dong Wang, Huchuan Lu, Event-assisted Blurriness Representation Learning for Blurry Image Unfolding, IEEE TIP, 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, Lei 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, et al, 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 Trans. on 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]
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]
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]
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”
4. 2024年武汉大学电信学院教学比赛二等奖

 

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)
2020级  陈康(北京大学)

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攻博)、廖伟(汇顶科技)、周惟宜(成都高新区)
2021级  王阳光(Oppo)、丁超(合作导师、科大讯飞)、刘凢(理想)


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!

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