Xin Yuan

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Lawrence CarinDuke UniversityVerified email at duke.edu
David J BradyJ. W. and H. M. Goodman Endowed Chair in Optical Sciences, University of ArizonaVerified email at arizona.edu
Zhiyuan Zha (查志远)Jilin UniversityVerified email at jlu.edu.cn
Ce ZhuFIEEE, University of Electronic Science and Technology of ChinaVerified email at uestc.edu.cn
Bihan WenAssociate Professor, Nanyang Technological UniversityVerified email at ntu.edu.sg
Jiantao ZhouProfessor, Department of Computer and Information Science, University of MacauVerified email at umac.mo
Patrick LlullGoogle, Inc.Verified email at google.com
Yulun ZhangShanghai Jiao Tong UniversityVerified email at sjtu.edu.cn
Yunchen PuResearch Scientist, FacebookVerified email at fb.com
Jinli SuoTsinghua UniversityVerified email at tsinghua.edu.cn
Jianbo YangBytedanceVerified email at duke.edu
Xuejun LiaoSAS Institute Inc.Verified email at sas.com
Guillermo SapiroAugustine Family Professor, Princeton University; Distinguished Eng., Apple; Prof. Emeritus, Duke U.Verified email at princeton.edu
Qionghai DaiTsinghua UniversityVerified email at tsinghua.edu.cn
Mu QiaoAssociate Professor, Ningbo University, ChinaVerified email at nbu.edu.cn
Linghe KongShanghai Jiao Tong UniversityVerified email at sjtu.edu.cn
Siming ZhengUCAS, vivoVerified email at vivo.com
Andrew StevensChief Scientist, OptimalSensingVerified email at optimalsensing.com
Lishun WangUniversity of Chinese Academy of Sciences & Westlake UniversityVerified email at mails.ucas.edu.cn
Jiawei Phoenix MAAssistant Professor of Computer Science, City University of Hong KongVerified email at cityu.edu.hk

Xin Yuan

Westlake University, Bell Labs, Duke University, Hong Kong Polytechnic University

Verified email at westlake.edu.cn - Homepage

computational imaging image and video processing signal processing machine learning AI


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Variational Autoencoder for Deep Learning of Images, Labels and Captions Y Pu, Z Gan, R Henao, X Yuan, C Li, A Stevens, L Carin NIPS 2016, 2016	1141	2016
Coded Aperture Compressive Temporal Imaging P Llull, X Liao, X Yuan, J Yang, D Kittle, L Carin, G Sapiro, DJ Brady Optics Express 21 (9), 10526-10545, 2013	540	2013
Rank Minimization for Snapshot Compressive Imaging Y Liu, X Yuan, J Suo, DJ Brady, Q Dai IEEE Transactions on Pattern Analysis and Machine Intelligence, 2018	485	2018
Generalized Alternating Projection Based Total Variation Minimization for Compressive Sensing X Yuan 2016 IEEE International Conference on Image Processing, 2015	463	2015
Mask-guided spectral-wise transformer for efficient hyperspectral image reconstruction Y Cai, J Lin, X Hu, H Wang, X Yuan, Y Zhang, R Timofte, L Van Gool CVPR 2022, 2021	402	2021
Snapshot compressive imaging: Theory, algorithms, and applications X Yuan, DJ Brady, AK Katsaggelos IEEE Signal Processing Magazine 38 (2), 65-88, 2021	400	2021
λ-net: Reconstruct Hyperspectral Images from a Snapshot Measurement X Miao, X Yuan, Y Pu, V Athitsos International Conference on Computer Vision (ICCV), 4059-4069, 2019	307*	2019
Computational Snapshot Multispectral Cameras X Cao, T Yue, L Xing, L Stephen, X Yuan, Q Dai, L Carin, BJ David IEEE Signal Processing Magazine 33 (5), 95-108, 2016	306	2016
Plug-and-Play Algorithms for Large-scale Snapshot Compressive Imaging X Yuan, Y Liu, J Suo, Q Dai CVPR 2020, 2020	288	2020
End-to-End Low Cost Compressive Spectral Imaging with Spatial-Spectral Self-Attention Z Meng, J Ma, X Yuan European Conference on Computer Vision (ECCV) 2020, 2020	274	2020
Video Compressive Sensing Using Gaussian Mixture Models J Yang, X Yuan, X Liao, P Llull, DJ Brady, G Sapiro, L Carin IEEE Transactions on Image Processing 23 (21), 4863-4878, 2014	256	2014
Deep Tensor ADMM-Net for Snapshot Compressive Imaging J Ma, X Liu, Z Shou, X Yuan International Conference on Computer Vision (ICCV), 10223-10232, 2019	248	2019
Cross Aggregation Transformer for Image Restoration C Zheng, Y Zhang, J Gu, Y Zhang, L Kong, X Yuan NeurIPS 2022, 2022	239	2022
Compressive sensing by learning a Gaussian mixture model from measurements J Yang, X Liao, X Yuan, P Llull, DJ Brady, G Sapiro, L Carin IEEE Transactions on Image Processing 24 (1), 106-119, 2014	237	2014
HDNet: High-resolution Dual-domain Learning for Spectral Compressive Imaging X Hu, Y Cai, J Lin, H Wang, X Yuan, Y Zhang, R Timofte, L Van Gool CVPR 2022, 2022	226	2022
Deep gaussian scale mixture prior for spectral compressive imaging T Huang, W Dong, X Yuan, J Wu, G Shi CVPR 2021, 2021	211	2021
Compressive Hyperspectral Imaging with Side Information X Yuan, TH Tsai, R Zhu, P Llull, D Brady, L Carin IEEE J. Selected Topics Signal Processing, 2015	211	2015
“Vector cross-product direction-finding” with an electromagnetic vector-sensor of six orthogonally oriented but spatially noncollocating dipoles/loops KT Wong, X Yuan IEEE Transactions on Signal Processing 59 (1), 160-171, 2010	194	2010
Deep learning for video compressive sensing M Qiao, Z Meng, J Ma, X Yuan APL Photonics 5 (3), 030801, 2020	190	2020
Coarse-to-fine sparse transformer for hyperspectral image reconstruction J Lin, Y Cai, X Hu, H Wang, X Yuan, Y Zhang, R Timofte, L Van Gool ECCV 2022, 2022	189	2022

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