Search Results for author:
Found 4 papers, 1 papers with code
Shape from Projections via Differentiable Forward Projector for Computed Tomography
In this paper, we propose a differentiable forward model for 3D meshes that bridge the gap between the forward model for 3D surfaces and optimization.
Adaptive Regularization of Some Inverse Problems in Image Analysis
We present an adaptive regularization scheme for optimizing composite energy functionals arising in image analysis problems.
Multi-Label Segmentation via Residual-Driven Adaptive Regularization
We present a variational multi-label segmentation algorithm based on a robust Huber loss for both the data and the regularizer, minimized within a convex optimization framework.
Adaptive Regularization in Convex Composite Optimization for Variational Imaging Problems
The desired properties, robustness and effectiveness, of the regularization parameter selection in a variational framework for imaging problems are achieved by merely replacing the static regularization parameter with our adaptive one.
