79 citations · 96 across the 7 of their papers we have counts for
7 papers
Indefinite linearized augmented Lagrangian method for convex programming with linear inequality constraints
Bingsheng He, Shengjie Xu, Jing Yuan
The augmented Lagrangian method (ALM) is a benchmark for convex programming problems with linear constraints; ALM and its variants for linearly equality-constrained convex minimiza…
Variational Image Motion Estimation by Accelerated Dual Optimization
Hongpeng Sun, Xue-Cheng Tai, Jing Yuan
Estimating optical flows is one of the most interesting problems in computer vision, which estimates the essential information about pixel-wise displacements between two consecutiv…
Efficient ADMM and Splitting Methods for Continuous Min-cut and Max-flow Problems
Hongpeng Sun, Xuecheng Tai, Jing Yuan
The Potts model has many applications. It is equivalent to some min-cut and max-flow models. Primal-dual algorithms have been used to solve these problems. Due to the special struc…
Multi-region segmentation of bladder cancer structures in MRI with progressive dilated convolutional networks
Jose Dolz, Xiaopan Xu, Jerome Rony +7
Precise segmentation of bladder walls and tumor regions is an essential step towards non-invasive identification of tumor stage and grade, which is critical for treatment decision…
HyperDense-Net: A hyper-densely connected CNN for multi-modal image segmentation
Jose Dolz, Karthik Gopinath, Jing Yuan +3
Recently, dense connections have attracted substantial attention in computer vision because they facilitate gradient flow and implicit deep supervision during training. Particularl…
Deep CNN ensembles and suggestive annotations for infant brain MRI segmentation
Jose Dolz, Christian Desrosiers, Li Wang +3
Precise 3D segmentation of infant brain tissues is an essential step towards comprehensive volumetric studies and quantitative analysis of early brain developement. However, comput…
RANCOR: Non-Linear Image Registration with Total Variation Regularization
Martin Rajchl, John S. H. Baxter, Wu Qiu +4
Optimization techniques have been widely used in deformable registration, allowing for the incorporation of similarity metrics with regularization mechanisms. These regularization…