Search Results for author:
Found 9 papers, 1 papers with code
Accelerated Bayesian imaging by relaxed proximal-point Langevin sampling
This discretisation is asymptotically unbiased for Gaussian targets and shown to converge in an accelerated manner for any target that is $\kappa$-strongly log-concave (i. e., requiring in the order of $\sqrt{\kappa}$ iterations to converge, similarly to accelerated optimisation schemes), comparing favorably to [M. Pereyra, L. Vargas Mieles, K. C.
Unsupervised Hyperspectral and Multispectral Images Fusion Based on the Cycle Consistency
In this paper, we propose an unsupervised HSI and MSI fusion model based on the cycle consistency, called CycFusion.
Robust real-time imaging through flexible multimode fibers
Furthermore, speckle patterns change as the fiber undergoes bending, making the use of MMFs in flexible imaging applications even more complicated.
Fast Scalable Image Restoration using Total Variation Priors and Expectation Propagation
This paper presents a scalable approximate Bayesian method for image restoration using total variation (TV) priors.
Patch-Based Image Restoration using Expectation Propagation
This paper presents a new Expectation Propagation (EP) framework for image restoration using patch-based prior distributions.
Robust 3D reconstruction of dynamic scenes from single-photon lidar using Beta-divergences
In this work, we consider a new similarity measure for robust depth estimation, which allows us to use a simple observation model and a non-iterative estimation procedure while being robust to mis-specification of the background illumination model.
Seeing Around Corners with Edge-Resolved Transient Imaging
Non-line-of-sight (NLOS) imaging is a rapidly growing field seeking to form images of objects outside the field of view, with potential applications in search and rescue, reconnaissance, and even medical imaging.
Patch-Based Sparse Representation For Bacterial Detection
In this paper, we propose an unsupervised approach for bacterial detection in optical endomicroscopy images.
Deconvolution and Restoration of Optical Endomicroscopy Images
In this work, we address the problem of deconvolution and restoration of OEM data.
