| Robust Orthonormal Subspace Learning: Efficient Recovery of Corrupted Low-Rank Matrices X Shu, F Porikli, N Ahuja IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2014 | 112 | 2014 |
| Bilevel sparse coding for coupled feature spaces J Yang, Z Wang, Z Lin, X Shu, T Huang 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2360-2367, 2012 | 105 | 2012 |
| Exploring for natural gas using reflectance spectra of surface soils DQ Xu, GQ Ni, LL Jiang, YT Shen, T Li, SL Ge, XB Shu Advances in Space Research 41 (11), 1800-1817, 2008 | 73 | 2008 |
| Imaging via Three-dimensional Compressive Sampling (3DCS) X Shu, N Ahuja International Conference on Computer Vision (ICCV), 2011 | 66 | 2011 |
| Hybrid compressive sampling via a new total variation TVL1 X Shu, N Ahuja Europeon Conference on Computer Vision (ECCV), 393-404, 2010 | 43 | 2010 |
| Non-Local Compressive Sampling Recovery X Shu, J Yang, N Ahuja International Conference on Computational Photography (ICCP), 2014 | 21 | 2014 |
| Method for recovering low-rank matrices and subspaces from data in high-dimensional matrices F Porikli, X Shu US Patent 8,935,308, 2015 | 11 | 2015 |
| Realization of a small real-time DSP-based platform for infrared and visual image fusion Q WANG, G NI, X SHU OPTICAL TECHNIQUE 31 (1), 71-74, 2008 | 8* | 2008 |
| Study on exploring for gas based on analysis of spectral absorption features DQ Xu, GQ Ni, LL Jiang, T Li, SL Ge, XB Shu Spectroscopy and Spectral Analysis 27 (11), 2150, 2007 | 8* | 2007 |
| Advanced imaging via multiplexed sensing and compressive sensing X Shu University of Illinois at Urbana-Champaign, 2013 | 5 | 2013 |
| Improved multiple entropy information segmentation algorithms for remote sensing images J LI, G NI, G HUANG Optical Technique 33 (4), 543-546, 2007 | 4* | 2007 |
| Aperture Access and Manipulation for Computational Imaging X Shu, C Gao, N Ahuja Computer Vision and Image Understanding (CVIU), 2011 | 3 | 2011 |
| 基于位相相关检测的图像配准算法 舒先标， 倪国强， 郑伟， 李江涛 光学技术 33 (6), 859-862, 2007 | 3 | 2007 |
| Robust Orthonormal Subspace Learning (ROSL) for Efficient Low-Rank Recovery X Shu, F Porikli, N Ahuja Handbook of Robust Low-Rank and Sparse Matrix Decomposition: Applications in …, 2016 | | 2016 |
