| 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 | 1180 | 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 | 551 | 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 | 510 | 2018 |
| Generalized Alternating Projection Based Total Variation Minimization for Compressive Sensing X Yuan 2016 IEEE International Conference on Image Processing, 2015 | 485 | 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 | 441 | 2021 |
| Snapshot compressive imaging: Theory, algorithms, and applications X Yuan, DJ Brady, AK Katsaggelos IEEE Signal Processing Magazine 38 (2), 65-88, 2021 | 431 | 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 | 325* | 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 | 316 | 2016 |
| Plug-and-Play Algorithms for Large-scale Snapshot Compressive Imaging X Yuan, Y Liu, J Suo, Q Dai CVPR 2020, 2020 | 303 | 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 | 291 | 2020 |
| 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 | 263 | 2019 |
| Cross Aggregation Transformer for Image Restoration C Zheng, Y Zhang, J Gu, Y Zhang, L Kong, X Yuan NeurIPS 2022, 2022 | 259 | 2022 |
| 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 | 257 | 2022 |
| 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 |
| 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 | 239 | 2014 |
| Deep gaussian scale mixture prior for spectral compressive imaging T Huang, W Dong, X Yuan, J Wu, G Shi CVPR 2021, 2021 | 225 | 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 | 218 | 2015 |
| 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 | 207 | 2022 |
| Deep learning for video compressive sensing M Qiao, Z Meng, J Ma, X Yuan APL Photonics 5 (3), 030801, 2020 | 195 | 2020 |
| “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 | 195 | 2010 |
Lawrence CarinDuke UniversityVerified email at duke.edu
