463 citations · 847 across the 11 of their papers we have counts for
11 papers
Large-scale Global Low-rank Optimization for Computational Compressed Imaging
Daoyu Li, Hanwen Xu, Miao Cao +3
Computational reconstruction plays a vital role in computer vision and computational photography. Most of the conventional optimization and deep learning techniques explore local i…
Computational Imaging and Artificial Intelligence: The Next Revolution of Mobile Vision
Jinli Suo, Weihang Zhang, Jin Gong +3
Signal capture stands in the forefront to perceive and understand the environment and thus imaging plays the pivotal role in mobile vision. Recent explosive progresses in Artificia…
Non-Gaussian Discriminative Factor Models via the Max-Margin Rank-Likelihood
Xin Yuan, Ricardo Henao, Ephraim L. Tsalik +2
We consider the problem of discriminative factor analysis for data that are in general non-Gaussian. A Bayesian model based on the ranks of the data is proposed. We first introduce…
Compressive Hyperspectral Imaging with Side Information
Xin Yuan, Tsung-Han Tsai, Ruoyu Zhu +3
A blind compressive sensing algorithm is proposed to reconstruct hyperspectral images from spectrally-compressed measurements.The wavelength-dependent data are coded and then super…
Classification and Reconstruction of High-Dimensional Signals from Low-Dimensional Features in the Presence of Side Information
Francesco Renna, Liming Wang, Xin Yuan +5
This paper offers a characterization of fundamental limits on the classification and reconstruction of high-dimensional signals from low-dimensional features, in the presence of si…
Tree-Structure Bayesian Compressive Sensing for Video
Xin Yuan, Patrick Llull, David J. Brady +1
A Bayesian compressive sensing framework is developed for video reconstruction based on the color coded aperture compressive temporal imaging (CACTI) system. By exploiting the thre…
Coherent Sources Direction Finding and Polarization Estimation with Various Compositions of Spatially Spread Polarized Antenna Arrays
Xin Yuan
Various compositions of sparsely polarized antenna arrays are proposed in this paper to estimate the direction-of-arrivals (DOAs) and polarizations of multiple coherent sources. Th…
Low-Cost Compressive Sensing for Color Video and Depth
Xin Yuan, Patrick Llull, Xuejun Liao +4
A simple and inexpensive (low-power and low-bandwidth) modification is made to a conventional off-the-shelf color video camera, from which we recover {multiple} color frames for ea…
Multiscale Shrinkage and Lévy Processes
Xin Yuan, Vinayak Rao, Shaobo Han +1
A new shrinkage-based construction is developed for a compressible vector , for cases in which the components of $\xv$ are naturally associated with…
Coded aperture compressive temporal imaging
Patrick Llull, Xuejun Liao, Xin Yuan +5
We use mechanical translation of a coded aperture for code division multiple access compression of video. We present experimental results for reconstruction at 148 frames per coded…
Adaptive Temporal Compressive Sensing for Video
Xin Yuan, Jianbo Yang, Patrick Llull +4
This paper introduces the concept of adaptive temporal compressive sensing (CS) for video. We propose a CS algorithm to adapt the compression ratio based on the scene's temporal co…