太阳成集团(122cc-VIP)官网-APP platform

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.

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

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

4. Kang Chen, Lei Yu*, Motion Deblur by Learning Residual From Events, IEEE Trans. Multimedia, 2024.

5. 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.

[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, 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.