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ORCIDXin Yuan 0002
Person information
- affiliation: Westlake University, School of Engineering, Hangzhou, China
- affiliation (2015-2021): Nokia Bell Labs, Murray Hill, NJ, USA
- affiliation (2012-2015): Duke University, Department of Electrical and Computer Engineering, Durham, NC, USA
- affiliation (PhD 2012): Hong Kong Polytechnic University, Hong Kong
Other persons with the same name
- Xin Yuan — disambiguation page
- Xin Yuan 0001
![[0000-0002-2075-5238]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-2075-5238")
— Florida State University, Department of Computer Science, Tallahassee, FL, USA (and 1 more) - Xin Yuan 0003 — Harbin Institute of Technology, School of Ocean Engineering, China (and 1 more)
- Xin Yuan 0004 — Commonwealth Scientific and Industrial Research Organization, CSIRO, Digital Productivity and Services Flagship, Sydney, NSW, Australia (and 2 more)
- Xin Yuan 0005 — University of California, Los Angeles, CA, USA
- Xin Yuan 0006 — Tsinghua University, Beijing, China
- Xin Yuan 0007 — Hong Kong Polytechnic University, Department of Electrical Engineering, Hong Kong (and 3 more)
- Xin Yuan 0008 — University of Adelaide, School of Electrical and Electronic Engineering, SA, Australia
- Xin Yuan 0009 — Wuhan University of Science and Technology, School of computer Science and Technology, Hubei, China
- Xin Yuan 0010 — Waseda University, Graduate School of Information Production and Systems, Kitakyushu, Fukuoka, Japan
- Xin Yuan 0011 — Shanghai Jiao Tong University, School of Cyber Science and Engineering, China
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Journal Articles
- 2024
[j65]Wei He, Zongliang Wu, Naoto Yokoya, Xin Yuan:
An interpretable and flexible fusion prior to boost hyperspectral imaging reconstruction. Inf. Fusion 111: 102528 (2024)- [j64]Zhiyuan Zha, Bihan Wen, Xin Yuan, Jiachao Zhang, Jiantao Zhou, Ce Zhu:
Structured residual sparsity for video compressive sensing reconstruction. Signal Process. 222: 109513 (2024) - [j63]Zhiyuan Zha, Bihan Wen, Xin Yuan, Jiachao Zhang, Jiantao Zhou, Xudong Jiang, Ce Zhu:
Multiple Complementary Priors for Multispectral Image Compressive Sensing Reconstruction. IEEE Trans. Cybern. 54(5): 3338-3351 (2024) - [j62]Ping Xu, Lei Liu, Haifeng Zheng, Xin Yuan, Chen Xu, Lingyun Xue:
Degradation-Aware Dynamic Fourier-Based Network for Spectral Compressive Imaging. IEEE Trans. Multim. 26: 2838-2850 (2024) - 2023
- [j61]X. Su, Yu Hong, Juntian Ye, Feihu Xu, Xin Yuan:
Multi-scale Iterative Model-guided Unfolding Network for NLOS Reconstruction. Comput. Graph. Forum 42(7) (2023) - [j60]Zongliang Wu, Chengshuai Yang, Xiongfei Su, Xin Yuan:
Adaptive Deep PnP Algorithm for Video Snapshot Compressive Imaging. Int. J. Comput. Vis. 131(7): 1662-1679 (2023) - [j59]Ziyi Meng, Xin Yuan, Shirin Jalali:
Deep Unfolding for Snapshot Compressive Imaging. Int. J. Comput. Vis. 131(11): 2933-2958 (2023) - [j58]Ziheng Cheng, Bo Chen, Ruiying Lu, Zhengjue Wang, Hao Zhang, Ziyi Meng, Xin Yuan:
Recurrent Neural Networks for Snapshot Compressive Imaging. IEEE Trans. Pattern Anal. Mach. Intell. 45(2): 2264-2281 (2023) - [j57]Lishun Wang, Miao Cao, Yong Zhong, Xin Yuan:
Spatial-Temporal Transformer for Video Snapshot Compressive Imaging. IEEE Trans. Pattern Anal. Mach. Intell. 45(7): 9072-9089 (2023) - [j56]Tao Huang, Xin Yuan, Weisheng Dong, Jinjian Wu, Guangming Shi:
Deep Gaussian Scale Mixture Prior for Image Reconstruction. IEEE Trans. Pattern Anal. Mach. Intell. 45(9): 10778-10794 (2023) - [j55]Jinli Suo, Weihang Zhang, Jin Gong, Xin Yuan, David J. Brady, Qionghai Dai:
Computational Imaging and Artificial Intelligence: The Next Revolution of Mobile Vision. Proc. IEEE 111(12): 1607-1639 (2023) - [j54]Zhiyuan Zha, Bihan Wen, Xin Yuan, Saiprasad Ravishankar, Jiantao Zhou, Ce Zhu:
Learning Nonlocal Sparse and Low-Rank Models for Image Compressive Sensing: Nonlocal sparse and low-rank modeling. IEEE Signal Process. Mag. 40(1): 32-44 (2023) - [j53]Xiao Ma, Xin Yuan, Gonzalo R. Arce:
High Resolution LED-Based Snapshot Compressive Spectral Video Imaging With Deep Neural Networks. IEEE Trans. Computational Imaging 9: 869-880 (2023) - [j52]Qingsong Xu, Yilei Shi, Xin Yuan, Xiao Xiang Zhu:
Universal Domain Adaptation for Remote Sensing Image Scene Classification. IEEE Trans. Geosci. Remote. Sens. 61: 1-15 (2023) - [j51]Zhiyuan Zha, Bihan Wen, Xin Yuan, Jiachao Zhang, Jiantao Zhou, Yilong Lu, Ce Zhu:
Nonlocal Structured Sparsity Regularization Modeling for Hyperspectral Image Denoising. IEEE Trans. Geosci. Remote. Sens. 61: 1-16 (2023) - [j50]Sidi Lu, Xin Yuan, Aggelos K. Katsaggelos, Weisong Shi:
Reinforcement Learning for Adaptive Video Compressive Sensing. ACM Trans. Intell. Syst. Technol. 14(5): 81:1-81:21 (2023) - [j49]Zhiyuan Zha, Bihan Wen, Xin Yuan, Jiantao Zhou, Ce Zhu, Alex ChiChung Kot:
Low-Rankness Guided Group Sparse Representation for Image Restoration. IEEE Trans. Neural Networks Learn. Syst. 34(10): 7593-7607 (2023) - 2022
- [j48]Xin Yuan, David J. Brady, Jinli Suo, Henry Arguello, Miguel Rodrigues, Aggelos K. Katsaggelos:
Editorial: Introduction to the Special Issue on Deep Learning for High-Dimensional Sensing. IEEE J. Sel. Top. Signal Process. 16(4): 603-607 (2022) - [j47]Xin Yuan, Yang Liu, Jinli Suo, Frédo Durand, Qionghai Dai:
Plug-and-Play Algorithms for Video Snapshot Compressive Imaging. IEEE Trans. Pattern Anal. Mach. Intell. 44(10): 7093-7111 (2022) - [j46]Zhiyuan Zha, Xin Yuan, Bihan Wen, Jiachao Zhang, Ce Zhu:
Nonconvex Structural Sparsity Residual Constraint for Image Restoration. IEEE Trans. Cybern. 52(11): 12440-12453 (2022) - [j45]Qingsong Xu, Xin Yuan, Chaojun Ouyang:
Class-Aware Domain Adaptation for Semantic Segmentation of Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 60: 1-17 (2022) - [j44]Zhiyuan Zha, Bihan Wen, Xin Yuan, Jiantao Zhou, Ce Zhu, Alex ChiChung Kot:
A Hybrid Structural Sparsification Error Model for Image Restoration. IEEE Trans. Neural Networks Learn. Syst. 33(9): 4451-4465 (2022) - 2021
- [j43]Ruiying Lu, Bo Chen, Guanliang Liu, Ziheng Cheng, Mu Qiao, Xin Yuan:
Dual-view Snapshot Compressive Imaging via Optical Flow Aided Recurrent Neural Network. Int. J. Comput. Vis. 129(12): 3279-3298 (2021) - [j42]Siming Zheng, Chunyang Wang, Xin Yuan, Huolin L. Xin:
Super-compression of large electron microscopy time series by deep compressive sensing learning. Patterns 2(7): 100292 (2021) - [j41]Shuowen Yang, Xiang Yan, Hanlin Qin, Qingjie Zeng, Yi Liang, Henry Arguello, Xin Yuan:
Mid-Infrared Compressive Hyperspectral Imaging. Remote. Sens. 13(4): 741 (2021) - [j40]Xin Yuan, David J. Brady, Aggelos K. Katsaggelos:
Snapshot Compressive Imaging: Theory, Algorithms, and Applications. IEEE Signal Process. Mag. 38(2): 65-88 (2021) - [j39]Mu Qiao, Yangyang Sun, Jiawei Ma, Ziyi Meng, Xuan Liu, Xin Yuan:
Snapshot Coherence Tomographic Imaging. IEEE Trans. Computational Imaging 7: 624-637 (2021) - [j38]Zhiyuan Zha, Bihan Wen, Xin Yuan, Jiantao Zhou, Ce Zhu:
Image Restoration via Reconciliation of Group Sparsity and Low-Rank Models. IEEE Trans. Image Process. 30: 5223-5238 (2021) - [j37]Zhiyuan Zha, Bihan Wen, Xin Yuan, Joey Tianyi Zhou, Jiantao Zhou, Ce Zhu:
Triply Complementary Priors for Image Restoration. IEEE Trans. Image Process. 30: 5819-5834 (2021) - [j36]Wei He, Naoto Yokoya, Xin Yuan:
Fast Hyperspectral Image Recovery of Dual-Camera Compressive Hyperspectral Imaging via Non-Iterative Subspace-Based Fusion. IEEE Trans. Image Process. 30: 7170-7183 (2021) - 2020
- [j35]Pei Peng, Shirin Jalali, Xin Yuan:
Solving Inverse Problems via Auto-Encoders. IEEE J. Sel. Areas Inf. Theory 1(1): 312-323 (2020) - [j34]Qingsong Xu, Xin Yuan, Chaojun Ouyang, Yue Zeng:
Attention-Based Pyramid Network for Segmentation and Classification of High-Resolution and Hyperspectral Remote Sensing Images. Remote. Sens. 12(21): 3501 (2020) - [j33]Zhiyuan Zha, Xin Yuan, Bihan Wen, Jiantao Zhou, Jiachao Zhang, Ce Zhu:
From Rank Estimation to Rank Approximation: Rank Residual Constraint for Image Restoration. IEEE Trans. Image Process. 29: 3254-3269 (2020) - [j32]Zhiyuan Zha, Xin Yuan, Bihan Wen, Jiantao Zhou, Jiachao Zhang, Ce Zhu:
A Benchmark for Sparse Coding: When Group Sparsity Meets Rank Minimization. IEEE Trans. Image Process. 29: 5094-5109 (2020) - [j31]Peihao Yang, Linghe Kong, Xiao-Yang Liu, Xin Yuan, Guihai Chen:
Shearlet Enhanced Snapshot Compressive Imaging. IEEE Trans. Image Process. 29: 6466-6481 (2020) - [j30]Zhiyuan Zha, Xin Yuan, Bihan Wen, Jiachao Zhang, Jiantao Zhou, Ce Zhu:
Image Restoration Using Joint Patch-Group-Based Sparse Representation. IEEE Trans. Image Process. 29: 7735-7750 (2020) - [j29]Zhiyuan Zha, Xin Yuan, Jiantao Zhou, Ce Zhu, Bihan Wen:
Image Restoration via Simultaneous Nonlocal Self-Similarity Priors. IEEE Trans. Image Process. 29: 8561-8576 (2020) - [j28]Zhiyuan Zha, Xin Yuan, Bihan Wen, Jiantao Zhou, Ce Zhu:
Group Sparsity Residual Constraint With Non-Local Priors for Image Restoration. IEEE Trans. Image Process. 29: 8960-8975 (2020) - [j27]Xin Yuan, Raziel Haimi-Cohen:
Image Compression Based on Compressive Sensing: End-to-End Comparison With JPEG. IEEE Trans. Multim. 22(11): 2889-2904 (2020) - [j26]Chunhua Geng, Xin Yuan, Howard Huang:
Exploiting Channel Correlations for NLOS ToA Localization With Multivariate Gaussian Mixture Models. IEEE Wirel. Commun. Lett. 9(1): 70-73 (2020) - 2019
- [j25]Jin Ding, Minglei Yang, Baixiao Chen, Xin Yuan:
A single triangular SS-EMVS aided high-accuracy DOA estimation using a multi-scale L-shaped sparse array. EURASIP J. Adv. Signal Process. 2019: 44 (2019) - [j24]Yang Liu, Xin Yuan, Jin-Li Suo, David J. Brady, Qionghai Dai:
Rank Minimization for Snapshot Compressive Imaging. IEEE Trans. Pattern Anal. Mach. Intell. 41(12): 2990-3006 (2019) - [j23]Shirin Jalali, Xin Yuan:
Snapshot Compressed Sensing: Performance Bounds and Algorithms. IEEE Trans. Inf. Theory 65(12): 8005-8024 (2019) - 2018
- [j22]Minglei Yang, Jin Ding, Baixiao Chen, Xin Yuan:
A Multiscale Sparse Array of Spatially Spread Electromagnetic-Vector-Sensors for Direction Finding and Polarization Estimation. IEEE Access 6: 9807-9818 (2018) - [j21]Minglei Yang, Alexander M. Haimovich, Xin Yuan, Lei Sun, Baixiao Chen:
A Unified Array Geometry Composed of Multiple Identical Subarrays With Hole-Free Difference Coarrays for Underdetermined DOA Estimation. IEEE Access 6: 14238-14254 (2018) - [j20]Zhiyuan Zha, Xinggan Zhang, Yu Wu, Qiong Wang, Xin Liu, Lan Tang, Xin Yuan:
Non-convex weighted ℓp nuclear norm based ADMM framework for image restoration. Neurocomputing 311: 209-224 (2018) - [j19]Haifeng Li, Jian Wang, Xin Yuan:
On the Fundamental Limit of Multipath Matching Pursuit. IEEE J. Sel. Top. Signal Process. 12(5): 916-927 (2018) - [j18]Xin Yuan:
Adaptive step-size iterative algorithm for sparse signal recovery. Signal Process. 152: 273-285 (2018) - [j17]Minglei Yang, Lei Sun, Xin Yuan, Baixiao Chen:
A New Nested MIMO Array With Increased Degrees of Freedom and Hole-Free Difference Coarray. IEEE Signal Process. Lett. 25(1): 40-44 (2018) - 2017
- [j16]Shaohui Mei, Xin Yuan, Jingyu Ji, Yifan Zhang, Shuai Wan, Qian Du:
Hyperspectral Image Spatial Super-Resolution via 3D Full Convolutional Neural Network. Remote. Sens. 9(11): 1139 (2017) - 2016
- [j15]Xun Cao, Tao Yue, Xing Lin, Stephen Lin, Xin Yuan, Qionghai Dai, Lawrence Carin, David J. Brady:
Computational Snapshot Multispectral Cameras: Toward dynamic capture of the spectral world. IEEE Signal Process. Mag. 33(5): 95-108 (2016) - [j14]Francesco Renna, Liming Wang, Xin Yuan, Jianbo Yang, Galen Reeves, A. Robert Calderbank, Lawrence Carin, Miguel R. D. Rodrigues:
Classification and Reconstruction of High-Dimensional Signals From Low-Dimensional Features in the Presence of Side Information. IEEE Trans. Inf. Theory 62(11): 6459-6492 (2016) - 2015
- [j13]Xin Yuan, Tsung-Han Tsai, Ruoyu Zhu, Patrick Llull, David J. Brady, Lawrence Carin:
Compressive Hyperspectral Imaging With Side Information. IEEE J. Sel. Top. Signal Process. 9(6): 964-976 (2015) - [j12]Liming Wang, Jiaji Huang, Xin Yuan, Kalyani Krishnamurthy, Joel A. Greenberg, Volkan Cevher, Miguel R. D. Rodrigues, David J. Brady, A. Robert Calderbank, Lawrence Carin:
Signal Recovery and System Calibration from Multiple Compressive Poisson Measurements. SIAM J. Imaging Sci. 8(3): 1923-1954 (2015) - [j11]Jianbo Yang, Xuejun Liao, Xin Yuan, Patrick Llull, David J. Brady, Guillermo Sapiro, Lawrence Carin:
Compressive Sensing by Learning a Gaussian Mixture Model From Measurements. IEEE Trans. Image Process. 24(1): 106-119 (2015) - 2014
- [j10]Xin Yuan:
Coherent sources direction finding and polarization estimation with various compositions of spatially spread polarized antenna arrays. Signal Process. 102: 265-281 (2014) - [j9]Jianbo Yang, Xin Yuan, Xuejun Liao, Patrick Llull, David J. Brady, Guillermo Sapiro, Lawrence Carin:
Video Compressive Sensing Using Gaussian Mixture Models. IEEE Trans. Image Process. 23(11): 4863-4878 (2014) - [j8]Yang Song, Xin Yuan, Kainam Thomas Wong:
Corrections to "Vector Cross-Product Direction-Finding' With an Electromagnetic Vector-Sensor of Six Orthogonally Oriented But Spatially Noncollocating Dipoles/Loops". IEEE Trans. Signal Process. 62(4): 1028-1030 (2014) - [j7]Xin Yuan, Vinayak A. Rao, Shaobo Han, Lawrence Carin:
Hierarchical Infinite Divisibility for Multiscale Shrinkage. IEEE Trans. Signal Process. 62(17): 4363-4374 (2014) - 2012
- [j6]Feng Luo, Xin Yuan:
Enhanced "vector-cross-product" direction-finding using a constrained sparse triangular-array. EURASIP J. Adv. Signal Process. 2012: 115 (2012) - [j5]Xin Yuan:
Direction-Finding with a Misoriented Acoustic Vector Sensor. IEEE Trans. Aerosp. Electron. Syst. 48(2): 1809-1815 (2012) - [j4]Xin Yuan:
Direction-Finding Wideband Linear FM Sources with Triangular Arrays. IEEE Trans. Aerosp. Electron. Syst. 48(3): 2416-2425 (2012) - [j3]Xin Yuan:
Coherent Source Direction-Finding using a Sparsely-Distributed Acoustic Vector-Sensor Array. IEEE Trans. Aerosp. Electron. Syst. 48(3): 2710-2715 (2012) - [j2]Xin Yuan:
Estimating the DOA and the Polarization of a Polynomial-Phase Signal Using a Single Polarized Vector-Sensor. IEEE Trans. Signal Process. 60(3): 1270-1282 (2012) - 2011
- [j1]Kainam Thomas Wong, Xin Yuan:
"Vector Cross-Product Direction-Finding" With an Electromagnetic Vector-Sensor of Six Orthogonally Oriented But Spatially Noncollocating Dipoles/Loops. IEEE Trans. Signal Process. 59(1): 160-171 (2011)
Conference and Workshop Papers
- 2023
- [c61]Yaping Zhao, Siming Zheng, Xin Yuan:
Deep Equilibrium Models for Snapshot Compressive Imaging. AAAI 2023: 3642-3650 - [c60]Zhiyuan Zha, Bihan Wen, Xin Yuan, Jiantao Zhou, Ce Zhu:
Hyperspectral Image Denoising Via Nonlocal Rank Residual Modeling. ICASSP 2023: 1-5 - [c59]Siming Zheng, Xin Yuan:
Unfolding Framework with Prior of Convolution-Transformer Mixture and Uncertainty Estimation for Video Snapshot Compressive Imaging. ICCV 2023: 12692-12703 - [c58]Jiale Zhang, Yulun Zhang, Jinjin Gu, Yongbing Zhang, Linghe Kong, Xin Yuan:
Accurate Image Restoration with Attention Retractable Transformer. ICLR 2023 - [c57]Ping Wang, Xin Yuan:
SAUNet: Spatial-Attention Unfolding Network for Image Compressive Sensing. ACM Multimedia 2023: 5099-5108 - [c56]Yuanhao Cai, Yuxin Zheng, Jing Lin, Xin Yuan, Yulun Zhang, Haoqian Wang:
Binarized Spectral Compressive Imaging. NeurIPS 2023 - [c55]Zheng Chen, Yulun Zhang, Ding Liu, Bin Xia, Jinjin Gu, Linghe Kong, Xin Yuan:
Hierarchical Integration Diffusion Model for Realistic Image Deblurring. NeurIPS 2023 - 2022
- [c54]Yuanhao Cai, Jing Lin, Xiaowan Hu, Haoqian Wang, Xin Yuan, Yulun Zhang, Radu Timofte, Luc Van Gool:
Mask-guided Spectral-wise Transformer for Efficient Hyperspectral Image Reconstruction. CVPR 2022: 17481-17490 - [c53]Xiaowan Hu, Yuanhao Cai, Jing Lin, Haoqian Wang, Xin Yuan, Yulun Zhang, Radu Timofte, Luc Van Gool:
HDNet: High-resolution Dual-domain Learning for Spectral Compressive Imaging. CVPR 2022: 17521-17530 - [c52]Jiamian Wang, Yulun Zhang, Xin Yuan, Ziyi Meng, Zhiqiang Tao:
Modeling Mask Uncertainty in Hyperspectral Image Reconstruction. ECCV (19) 2022: 112-129 - [c51]Chengshuai Yang, Shiyu Zhang, Xin Yuan:
Ensemble Learning Priors Driven Deep Unfolding for Scalable Video Snapshot Compressive Imaging. ECCV (23) 2022: 600-618 - [c50]Yuanhao Cai, Jing Lin, Xiaowan Hu, Haoqian Wang, Xin Yuan, Yulun Zhang, Radu Timofte, Luc Van Gool:
Coarse-to-Fine Sparse Transformer for Hyperspectral Image Reconstruction. ECCV (17) 2022: 686-704 - [c49]Zhiyuan Zha, Bihan Wen, Xin Yuan, Jiantao Zhou, Ce Zhu:
Simultaneous Nonlocal Low-Rank And Deep Priors For Poisson Denoising. ICASSP 2022: 2320-2324 - [c48]Yuanhao Cai, Jing Lin, Haoqian Wang, Xin Yuan, Henghui Ding, Yulun Zhang, Radu Timofte, Luc Van Gool:
Degradation-Aware Unfolding Half-Shuffle Transformer for Spectral Compressive Imaging. NeurIPS 2022 - [c47]Zheng Chen, Yulun Zhang, Jinjin Gu, Yongbing Zhang, Linghe Kong, Xin Yuan:
Cross Aggregation Transformer for Image Restoration. NeurIPS 2022 - 2021
- [c46]Xin Yuan:
Various Plug-and-Play Algorithms with Diverse Total Variation Methods for Video Snapshot Compressive Imaging. CICAI 2021: 335-346 - [c45]Zhengjue Wang, Hao Zhang, Ziheng Cheng, Bo Chen, Xin Yuan:
MetaSCI: Scalable and Adaptive Reconstruction for Video Compressive Sensing. CVPR 2021: 2083-2092 - [c44]Tao Huang, Weisheng Dong, Xin Yuan, Jinjian Wu, Guangming Shi:
Deep Gaussian Scale Mixture Prior for Spectral Compressive Imaging. CVPR 2021: 16216-16225 - [c43]Ziheng Cheng, Bo Chen, Guanliang Liu, Hao Zhang, Ruiying Lu, Zhengjue Wang, Xin Yuan:
Memory-Efficient Network for Large-Scale Video Compressive Sensing. CVPR 2021: 16246-16255 - [c42]Xiu Li, Jinli Suo, Weihang Zhang, Xin Yuan, Qionghai Dai:
Universal and Flexible Optical Aberration Correction Using Deep-Prior Based Deconvolution. ICCV 2021: 2593-2601 - [c41]Ziyi Meng, Zhenming Yu, Kun Xu, Xin Yuan:
Self-supervised Neural Networks for Spectral Snapshot Compressive Imaging. ICCV 2021: 2602-2611 - [c40]Zhiyuan Zha, Bihan Wen, Xin Yuan, Jiantao Zhou, Ce Zhu:
Low-Rank Regularized Joint Sparsity for Image Denoising. ICIP 2021: 1644-1648 - [c39]Ziyi Meng, Xin Yuan:
Perception Inspired Deep Neural Networks For Spectral Snapshot Compressive Imaging. ICIP 2021: 2813-2817 - 2020
- [c38]Xin Yuan, Yang Liu, Jin-Li Suo, Qionghai Dai:
Plug-and-Play Algorithms for Large-Scale Snapshot Compressive Imaging. CVPR 2020: 1444-1454 - [c37]Ziyi Meng, Jiawei Ma, Xin Yuan:
End-to-End Low Cost Compressive Spectral Imaging with Spatial-Spectral Self-Attention. ECCV (23) 2020: 187-204 - [c36]Ziheng Cheng, Ruiying Lu, Zhengjue Wang, Hao Zhang, Bo Chen, Ziyi Meng, Xin Yuan:
BIRNAT: Bidirectional Recurrent Neural Networks with Adversarial Training for Video Snapshot Compressive Imaging. ECCV (24) 2020: 258-275 - [c35]Zhiyuan Zha, Xin Yuan, Jiantao Zhou, Ce Zhu, Bihan Wen:
A Hybrid Structural Sparse Error Model for Image Deblocking. ICASSP 2020: 2493-2497 - [c34]Pravir Singh Gupta, Xin Yuan, Gwan Seong Choi:
Drcas: Deep Restoration Network For Hardware Based Compressive Acquisition Scheme. ICIP 2020: 291-295 - [c33]Zhiyuan Zha, Xin Yuan, Joey Tianyi Zhou, Jiantao Zhou, Bihan Wen, Ce Zhu:
The Power Of Triply Complementary Priors For Image Compressive Sensing. ICIP 2020: 983-987 - [c32]Zhiyuan Zha, Bihan Wen, Xin Yuan, Jiantao Zhou, Ce Zhu:
Reconciliation Of Group Sparsity And Low-Rank Models For Image Restoration. ICME 2020: 1-6 - [c31]Sidi Lu, Xin Yuan, Weisong Shi:
Edge Compression: An Integrated Framework for Compressive Imaging Processing on CAVs. SEC 2020: 125-138 - 2019
- [c30]Xin Miao, Xin Yuan, Yunchen Pu, Vassilis Athitsos:
lambda-Net: Reconstruct Hyperspectral Images From a Snapshot Measurement. ICCV 2019: 4058-4068 - [c29]Jiawei Ma, Xiao-Yang Liu, Zheng Shou, Xin Yuan:
Deep Tensor ADMM-Net for Snapshot Compressive Imaging. ICCV 2019: 10222-10231 - [c28]Zhiyuan Zha, Xin Yuan, Bihan Wen, Jiachao Zhang, Jiantao Zhou, Ce Zhu:
Simultaneous Nonlocal Self-Similarity Prior for Image Denoising. ICIP 2019: 1119-1123 - [c27]Shirin Jalali, Xin Yuan:
Solving linear inverse problems using generative models. ISIT 2019: 512-516 - 2018
- [c26]Zhiyuan Zha, Xin Yuan, Bihan Wen, Jiantao Zhou, Ce Zhu:
Joint Patch-Group Based Sparse Representation for Image Inpainting. ACML 2018: 145-160 - [c25]Xinyuan Zhang, Xin Yuan, Lawrence Carin:
Nonlocal Low-Rank Tensor Factor Analysis for Image Restoration. CVPR 2018: 8232-8241 - [c24]Zhiyuan Zha, Xinggan Zhang, Qiong Wang, Yechao Bai, Lan Tang, Xin Yuan:
Group Sparsity Residual with Non-Local Samples for Image Denoising. ICASSP 2018: 1353-1357 - [c23]Shirin Jalali, Xin Yuan:
Compressive Imaging Via One-Shot Measurements. ISIT 2018: 416-420 - 2017
- [c22]Xin Yuan, Gang Huang, Hong Jiang, Paul A. Wilford:
Block-wise lensless compressive camera. ICIP 2017: 31-35 - [c21]Xin Yuan, Yunchen Pu:
Convolutional factor analysis inspired compressive sensing. ICIP 2017: 550-554 - [c20]Shaohui Mei, Xin Yuan, Jingyu Ji, Shuai Wan, Junhui Hou, Qian Du:
Hyperspectral image super-resolution via convolutional neural network. ICIP 2017: 4297-4301 - 2016
- [c19]Yunchen Pu, Xin Yuan, Andrew Stevens, Chunyuan Li, Lawrence Carin:
A Deep Generative Deconvolutional Image Model. AISTATS 2016: 741-750 - [c18]Minglei Yang, Alexander M. Haimovich, Baixiao Chen, Xin Yuan:
A new array geometry for DOA estimation with enhanced degrees of freedom. ICASSP 2016: 3041-3045 - [c17]Liming Wang, Francesco Renna, Xin Yuan, Miguel R. D. Rodrigues, A. Robert Calderbank, Lawrence Carin:
A general framework for reconstruction and classification from compressive measurements with side information. ICASSP 2016: 4239-4243 - [c16]Xin Yuan, Shuo Pang:
Compressive video microscope via structured illumination. ICIP 2016: 1589-1593 - [c15]Xin Yuan:
Generalized alternating projection based total variation minimization for compressive sensing. ICIP 2016: 2539-2543 - [c14]Yunchen Pu, Zhe Gan, Ricardo Henao, Xin Yuan, Chunyuan Li, Andrew Stevens, Lawrence Carin:
Variational Autoencoder for Deep Learning of Images, Labels and Captions. NIPS 2016: 2352-2360 - 2015
- [c13]Jiaji Huang, Xin Yuan, A. Robert Calderbank:
Multi-scale Bayesian reconstruction of compressive X-ray image. ICASSP 2015: 1618-1622 - [c12]Xin Yuan, Jiaji Huang, A. Robert Calderbank:
Polynomial-phase signal direction-finding and source-tracking with a single acoustic vector sensor. ICASSP 2015: 2559-2563 - [c11]Jiaji Huang, Xin Yuan, A. Robert Calderbank:
Collaborative compressive X-ray image reconstruction. ICASSP 2015: 3282-3286 - [c10]Xin Yuan, Ricardo Henao, Ephraim Tsalik, Raymond Langley, Lawrence Carin:
Non-Gaussian Discriminative Factor Models via the Max-Margin Rank-Likelihood. ICML 2015: 1254-1263 - [c9]Francesco Renna, Liming Wang, Xin Yuan, Jianbo Yang, Galen Reeves, A. Robert Calderbank, Lawrence Carin, Miguel R. D. Rodrigues:
Classification and reconstruction of compressed GMM signals with side information. ISIT 2015: 994-998 - [c8]Liming Wang, Jiaji Huang, Xin Yuan, Volkan Cevher, Miguel R. D. Rodrigues, A. Robert Calderbank, Lawrence Carin:
A concentration-of-measure inequality for multiple-measurement models. ISIT 2015: 2341-2345 - [c7]Yunchen Pu, Xin Yuan, Lawrence Carin:
A Generative Model for Deep Convolutional Learning. ICLR (Workshop) 2015 - 2014
- [c6]Xin Yuan, Patrick Llull, Xuejun Liao, Jianbo Yang, David J. Brady, Guillermo Sapiro, Lawrence Carin:
Low-Cost Compressive Sensing for Color Video and Depth. CVPR 2014: 3318-3325 - [c5]Ricardo Henao, Xin Yuan, Lawrence Carin:
Bayesian Nonlinear Support Vector Machines and Discriminative Factor Modeling. NIPS 2014: 1754-1762 - [c4]Haoqian Wang, Xin Yuan, Xingzheng Wang, Yongbing Zhang, Qionghai Dai:
Real-time air quality estimation based on color image processing. VCIP 2014: 326-329 - 2013
- [c3]Xin Yuan, Jianbo Yang, Patrick Llull, Xuejun Liao, Guillermo Sapiro, David J. Brady, Lawrence Carin:
Adaptive temporal compressive sensing for video. ICIP 2013: 14-18 - [c2]Jianbo Yang, Xin Yuan, Xuejun Liao, Patrick Llull, Guillermo Sapiro, David J. Brady, Lawrence Carin:
Gaussian mixture model for video compressive sensing. ICIP 2013: 19-23 - 2012
- [c1]Xin Yuan:
Polynomial-phase signal source tracking using an electromagnetic vector-sensor. ICASSP 2012: 2577-2580
Parts in Books or Collections
- 2016
- [p1]Zhe Gan, Xin Yuan, Ricardo Henao, Ephraim L. Tsalik, Lawrence Carin:
Inference of gene networks associated with the host response to infectious disease. Big Data over Networks 2016: 365-390
Informal and Other Publications
- 2024
- [i67]Jianqiao Sun, Yudi Su, Hao Zhang, Ziheng Cheng, Zequn Zeng, Zhengjue Wang, Bo Chen, Xin Yuan:
SnapCap: Efficient Snapshot Compressive Video Captioning. CoRR abs/2401.04903 (2024) - [i66]Ping Wang, Lishun Wang, Xin Yuan:
Deep Optics for Video Snapshot Compressive Imaging. CoRR abs/2404.05274 (2024) - [i65]Mengyu Zhao, Xi Chen, Xin Yuan, Shirin Jalali:
Untrained Neural Nets for Snapshot Compressive Imaging: Theory and Algorithms. CoRR abs/2406.03694 (2024) - [i64]Zheng Chen, Haotong Qin, Yong Guo, Xiongfei Su, Xin Yuan, Linghe Kong, Yulun Zhang:
Binarized Diffusion Model for Image Super-Resolution. CoRR abs/2406.05723 (2024) - [i63]Kai Liu, Haotong Qin, Yong Guo, Xin Yuan, Linghe Kong, Guihai Chen, Yulun Zhang:
2DQuant: Low-bit Post-Training Quantization for Image Super-Resolution. CoRR abs/2406.06649 (2024) - [i62]Ping Wang, Yulun Zhang, Lishun Wang, Xin Yuan:
Hierarchical Separable Video Transformer for Snapshot Compressive Imaging. CoRR abs/2407.11946 (2024) - 2023
- [i61]Daoyu Li, Hanwen Xu, Miao Cao, Xin Yuan, David J. Brady, Liheng Bian:
Large-scale Global Low-rank Optimization for Computational Compressed Imaging. CoRR abs/2301.03047 (2023) - [i60]Qingsong Xu, Yilei Shi, Xin Yuan, Xiao Xiang Zhu:
Universal Domain Adaptation for Remote Sensing Image Scene Classification. CoRR abs/2301.11387 (2023) - [i59]Yuanhao Cai, Yuxin Zheng, Jing Lin, Haoqian Wang, Xin Yuan, Yulun Zhang:
Binarized Spectral Compressive Imaging. CoRR abs/2305.10299 (2023) - [i58]Zheng Chen, Yulun Zhang, Ding Liu, Bin Xia, Jinjin Gu, Linghe Kong, Xin Yuan:
Hierarchical Integration Diffusion Model for Realistic Image Deblurring. CoRR abs/2305.12966 (2023) - [i57]Jiamian Wang, Zongliang Wu, Yulun Zhang, Xin Yuan, Tao Lin, Zhiqiang Tao:
Cooperative Hardware-Prompt Learning for Snapshot Compressive Imaging. CoRR abs/2306.01176 (2023) - [i56]Siming Zheng, Xin Yuan:
Unfolding Framework with Prior of Convolution-Transformer Mixture and Uncertainty Estimation for Video Snapshot Compressive Imaging. CoRR abs/2306.11316 (2023) - [i55]Zheng Chen, Yulun Zhang, Jinjin Gu, Xin Yuan, Linghe Kong, Guihai Chen, Xiaokang Yang:
Image Super-Resolution with Text Prompt Diffusion. CoRR abs/2311.14282 (2023) - [i54]Zhiteng Li, Yulun Zhang, Jing Lin, Haotong Qin, Jinjin Gu, Xin Yuan, Linghe Kong, Xiaokang Yang:
Binarized 3D Whole-body Human Mesh Recovery. CoRR abs/2311.14323 (2023) - 2022
- [i53]Lishun Wang, Zongliang Wu, Yong Zhong, Xin Yuan:
Spectral Compressive Imaging Reconstruction Using Convolution and Spectral Contextual Transformer. CoRR abs/2201.05768 (2022) - [i52]Siming Zheng, Xiaoyu Yang, Xin Yuan:
Two-Stage is Enough: A Concise Deep Unfolding Reconstruction Network for Flexible Video Compressive Sensing. CoRR abs/2201.05810 (2022) - [i51]Yaping Zhao, Siming Zheng, Xin Yuan:
Deep Equilibrium Models for Video Snapshot Compressive Imaging. CoRR abs/2201.06931 (2022) - [i50]Ruiying Lu, Ziheng Cheng, Bo Chen, Xin Yuan:
Motion-aware Dynamic Graph Neural Network for Video Compressive Sensing. CoRR abs/2203.00387 (2022) - [i49]Xiaowan Hu, Yuanhao Cai, Jing Lin, Haoqian Wang, Xin Yuan, Yulun Zhang, Radu Timofte, Luc Van Gool:
HDNet: High-resolution Dual-domain Learning for Spectral Compressive Imaging. CoRR abs/2203.02149 (2022) - [i48]Jing Lin, Yuanhao Cai, Xiaowan Hu, Haoqian Wang, Xin Yuan, Yulun Zhang, Radu Timofte, Luc Van Gool:
Coarse-to-Fine Sparse Transformer for Hyperspectral Image Reconstruction. CoRR abs/2203.04845 (2022) - [i47]Yujia Xue, Siming Zheng, Waleed Tahir, Zhengjue Wang, Hao Zhang, Ziyi Meng, Lei Tian, Xin Yuan:
Block Modulating Video Compression: An Ultra Low Complexity Image Compression Encoder for Resource Limited Platforms. CoRR abs/2205.03677 (2022) - [i46]Yuanhao Cai, Jing Lin, Haoqian Wang, Xin Yuan, Henghui Ding, Yulun Zhang, Radu Timofte, Luc Van Gool:
Degradation-Aware Unfolding Half-Shuffle Transformer for Spectral Compressive Imaging. CoRR abs/2205.10102 (2022) - [i45]Jiamian Wang, Kunpeng Li, Yulun Zhang, Xin Yuan, Zhiqiang Tao:
S^2-Transformer for Mask-Aware Hyperspectral Image Reconstruction. CoRR abs/2209.12075 (2022) - [i44]Jiale Zhang, Yulun Zhang, Jinjin Gu, Yongbing Zhang, Linghe Kong, Xin Yuan:
Accurate Image Restoration with Attention Retractable Transformer. CoRR abs/2210.01427 (2022) - [i43]Zheng Chen, Yulun Zhang, Jinjin Gu, Yongbing Zhang, Linghe Kong, Xin Yuan:
Cross Aggregation Transformer for Image Restoration. CoRR abs/2211.13654 (2022) - 2021
- [i42]Xin Yuan, Yang Liu, Jinli Suo, Frédo Durand, Qionghai Dai:
Plug-and-Play Algorithms for Video Snapshot Compressive Imaging. CoRR abs/2101.04822 (2021) - [i41]Zhengjue Wang, Hao Zhang, Ziheng Cheng, Bo Chen, Xin Yuan:
MetaSCI: Scalable and Adaptive Reconstruction for Video Compressive Sensing. CoRR abs/2103.01786 (2021) - [i40]Ziheng Cheng, Bo Chen, Guanliang Liu, Hao Zhang, Ruiying Lu, Zhengjue Wang, Xin Yuan:
Memory-Efficient Network for Large-scale Video Compressive Sensing. CoRR abs/2103.03089 (2021) - [i39]Xin Yuan, David J. Brady, Aggelos K. Katsaggelos:
Snapshot Compressive Imaging: Principle, Implementation, Theory, Algorithms and Applications. CoRR abs/2103.04421 (2021) - [i38]Tao Huang, Weisheng Dong, Xin Yuan, Jinjian Wu, Guangming Shi:
Deep Gaussian Scale Mixture Prior for Spectral Compressive Imaging. CoRR abs/2103.07152 (2021) - [i37]Xiu Li, Jinli Suo, Weihang Zhang, Xin Yuan, Qionghai Dai:
Universal and Flexible Optical Aberration Correction Using Deep-Prior Based Deconvolution. CoRR abs/2104.03078 (2021) - [i36]Sidi Lu, Xin Yuan, Aggelos K. Katsaggelos, Weisong Shi:
Reinforcement Learning for Adaptive Video Compressive Sensing. CoRR abs/2105.08205 (2021) - [i35]Zhihong Zhang, Chao Deng, Yang Liu, Xin Yuan, Jinli Suo, Qionghai Dai:
10-mega pixel snapshot compressive imaging with a hybrid coded aperture. CoRR abs/2106.15765 (2021) - [i34]Jiamian Wang, Yulun Zhang, Xin Yuan, Yun Fu, Zhiqiang Tao:
A New Backbone for Hyperspectral Image Reconstruction. CoRR abs/2108.07739 (2021) - [i33]Ziyi Meng, Zhenming Yu, Kun Xu, Xin Yuan:
Self-supervised Neural Networks for Spectral Snapshot Compressive Imaging. CoRR abs/2108.12654 (2021) - [i32]Ruiying Lu, Bo Chen, Guanliang Liu, Ziheng Cheng, Mu Qiao, Xin Yuan:
Dual-view Snapshot Compressive Imaging via Optical Flow Aided Recurrent Neural Network. CoRR abs/2109.05287 (2021) - [i31]Jinli Suo, Weihang Zhang, Jin Gong, Xin Yuan, David J. Brady, Qionghai Dai:
Computational Imaging and Artificial Intelligence: The Next Revolution of Mobile Vision. CoRR abs/2109.08880 (2021) - [i30]Yuanhao Cai, Jing Lin, Xiaowan Hu, Haoqian Wang, Xin Yuan, Yulun Zhang, Radu Timofte, Luc Van Gool:
Mask-guided Spectral-wise Transformer for Efficient Hyperspectral Image Reconstruction. CoRR abs/2111.07910 (2021) - [i29]Jiamian Wang, Yulun Zhang, Xin Yuan, Ziyi Meng, Zhiqiang Tao:
Calibrated Hyperspectral Image Reconstruction via Graph-based Self-Tuning Network. CoRR abs/2112.15362 (2021) - 2020
- [i28]Xin Yuan, Yang Liu, Jin-Li Suo, Qionghai Dai:
Plug-and-Play Algorithms for Large-scale Snapshot Compressive Imaging. CoRR abs/2003.13654 (2020) - [i27]Zhiyuan Zha, Xin Yuan, Joey Tianyi Zhou, Jiantao Zhou, Bihan Wen, Ce Zhu:
The Power of Triply Complementary Priors for Image Compressive Sensing. CoRR abs/2005.07902 (2020) - [i26]Qingsong Xu, Xin Yuan, Chaojun Ouyang, Yue Zeng:
Spatial-spectral FFPNet: Attention-Based Pyramid Network for Segmentation and Classification of Remote Sensing Images. CoRR abs/2008.08775 (2020) - [i25]Wei He, Naoto Yokoya, Xin Yuan:
Fast Hyperspectral Image Recovery via Non-iterative Fusion of Dual-Camera Compressive Hyperspectral Imaging. CoRR abs/2012.15104 (2020) - 2019
- [i24]Shirin Jalali, Xin Yuan:
Using auto-encoders for solving ill-posed linear inverse problems. CoRR abs/1901.05045 (2019) - [i23]Pravir Singh Gupta, Xin Yuan, Gwan Seong Choi:
LISR: Image Super-resolution under Hardware Constraints. CoRR abs/1909.10136 (2019) - [i22]Yilang Zhang, Zheng Wei, Jian Wang, Xin Yuan:
Dense Color Constancy with Effective Edge Augmentation. CoRR abs/1911.07163 (2019) - 2018
- [i21]Xinyuan Zhang, Xin Yuan, Lawrence Carin:
Nonlocal Low-Rank Tensor Factor Analysis for Image Restoration. CoRR abs/1803.06795 (2018) - [i20]Zhiyuan Zha, Xinggan Zhang, Qiong Wang, Yechao Bai, Lan Tang, Xin Yuan:
Group Sparsity Residual with Non-Local Samples for Image Denoising. CoRR abs/1803.08412 (2018) - [i19]Zhiyuan Zha, Xin Yuan, Tao Yue, Jiaotao Zhou:
From Rank Estimation to Rank Approximation: Rank Residual Constraint for Image Denoising. CoRR abs/1807.02504 (2018) - [i18]Yang Liu, Xin Yuan, Jin-Li Suo, David J. Brady, Qionghai Dai:
Rank Minimization for Snapshot Compressive Imaging. CoRR abs/1807.07837 (2018) - [i17]Shirin Jalali, Xin Yuan:
Snapshot compressed sensing: performance bounds and algorithms. CoRR abs/1808.03661 (2018) - 2017
- [i16]Xin Yuan, Yunchen Pu, Lawrence Carin:
Compressive Sensing via Convolutional Factor Analysis. CoRR abs/1701.03006 (2017) - [i15]Xin Yuan, Gang Huang, Hong Jiang, Paul A. Wilford:
Block-wise Lensless Compressive Camera. CoRR abs/1701.05412 (2017) - [i14]Xin Yuan, Raziel Haimi-Cohen:
Image Compression Based on Compressive Sensing: End-to-End Comparison with JPEG. CoRR abs/1706.01000 (2017) - [i13]Zhiyuan Zha, Xin Yuan:
Bridge the Gap Between Group Sparse Coding and Rank Minimization via Adaptive Dictionary Learning. CoRR abs/1709.03979 (2017) - 2016
- [i12]Yunchen Pu, Zhe Gan, Ricardo Henao, Xin Yuan, Chunyuan Li, Andrew Stevens, Lawrence Carin:
Variational Autoencoder for Deep Learning of Images, Labels and Captions. CoRR abs/1609.08976 (2016) - 2015
- [i11]Xin Yuan, Tsung-Han Tsai, Ruoyu Zhu, Patrick Llull, David J. Brady, Lawrence Carin:
Compressive Hyperspectral Imaging with Side Information. CoRR abs/1502.06260 (2015) - [i10]Xin Yuan, Hong Jiang, Gang Huang, Paul A. Wilford:
Lensless Compressive Imaging. CoRR abs/1508.03498 (2015) - [i9]Xin Yuan, Hong Jiang, Gang Huang, Paul A. Wilford:
Compressive Sensing via Low-Rank Gaussian Mixture Models. CoRR abs/1508.06901 (2015) - [i8]Xin Yuan, Hong Jiang, Paul A. Wilford:
Convergence of the Generalized Alternating Projection Algorithm for Compressive Sensing. CoRR abs/1509.06253 (2015) - [i7]Yunchen Pu, Xin Yuan, Andrew Stevens, Chunyuan Li, Lawrence Carin:
A Deep Generative Deconvolutional Image Model. CoRR abs/1512.07344 (2015) - 2014
- [i6]Xin Yuan, Patrick Llull, Xuejun Liao, Jianbo Yang, Guillermo Sapiro, David J. Brady, Lawrence Carin:
Low-Cost Compressive Sensing for Color Video and Depth. CoRR abs/1402.6932 (2014) - [i5]Xin Yuan, Patrick Llull, David J. Brady, Lawrence Carin:
Tree-Structure Bayesian Compressive Sensing for Video. CoRR abs/1410.3080 (2014) - [i4]Francesco Renna, Liming Wang, Xin Yuan, Jianbo Yang, Galen Reeves, A. Robert Calderbank, Lawrence Carin, Miguel R. D. Rodrigues:
Classification and Reconstruction of High-Dimensional Signals from Low-Dimensional Noisy Features in the Presence of Side Information. CoRR abs/1412.0614 (2014) - [i3]Yunchen Pu, Xin Yuan, Lawrence Carin:
Bayesian Deep Deconvolutional Learning. CoRR abs/1412.6039 (2014) - 2013
- [i2]Patrick Llull, Xuejun Liao, Xin Yuan, Jianbo Yang, David S. Kittle, Lawrence Carin, Guillermo Sapiro, David J. Brady:
Coded aperture compressive temporal imaging. CoRR abs/1302.2575 (2013) - [i1]Xin Yuan, Jianbo Yang, Patrick Llull, Xuejun Liao, Guillermo Sapiro, David J. Brady, Lawrence Carin:
Adaptive Temporal Compressive Sensing for Video. CoRR abs/1302.3446 (2013)
Coauthor Index
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