484 citations · 1.2k across the 39 of their papers we have counts for
6 papers · 1 filter
A Deep Generative Deconvolutional Image Model
Yunchen Pu, Xin Yuan, Andrew Stevens +2
A deep generative model is developed for representation and analysis of images, based on a hierarchical convolutional dictionary-learning framework. Stochastic {\em unpooling} is e…
Generalized Alternating Projection Based Total Variation Minimization for Compressive Sensing
Xin Yuan
We consider the total variation (TV) minimization problem used for compressive sensing and solve it using the generalized alternating projection (GAP) algorithm. Extensive results…
Convergence of the Generalized Alternating Projection Algorithm for Compressive Sensing
Xin Yuan, Hong Jiang, Paul Wilford
The convergence of the generalized alternating projection (GAP) algorithm is studied in this paper to solve the compressive sensing problem $\yv = \Amat \xv + \epsilonv$. By assumi…
Compressive Sensing via Low-Rank Gaussian Mixture Models
Xin Yuan, Hong Jiang, Gang Huang +1
We develop a new compressive sensing (CS) inversion algorithm by utilizing the Gaussian mixture model (GMM). While the compressive sensing is performed globally on the entire image…
Lensless Compressive Imaging
Xin Yuan, Hong Jiang, Gang Huang +1
We develop a lensless compressive imaging architecture, which consists of an aperture assembly and a single sensor, without using any lens. An anytime algorithm is proposed to reco…
A Generative Model for Deep Convolutional Learning
Yunchen Pu, Xin Yuan, Lawrence Carin
A generative model is developed for deep (multi-layered) convolutional dictionary learning. A novel probabilistic pooling operation is integrated into the deep model, yielding effi…