421 citations · 1.6k across the 35 of their papers we have counts for
5 papers · 1 filter
Fast Scalable Image Restoration using Total Variation Priors and Expectation Propagation
Dan Yao, Stephen McLaughlin, Yoann Altmann
This paper presents a scalable approximate Bayesian method for image restoration using total variation (TV) priors. In contrast to most optimization methods based on maximum a post…
Real-time, low-cost multi-person 3D pose estimation
Alice Ruget, Max Tyler, Germán Mora Martín +7
The process of tracking human anatomy in computer vision is referred to pose estimation, and it is used in fields ranging from gaming to surveillance. Three-dimensional pose estima…
Fast Task-Based Adaptive Sampling for 3D Single-Photon Multispectral Lidar Data
Mohamed Amir Alaa Belmekki, Rachael Tobin, Gerald S. Buller +2
3D single-photon LiDAR imaging plays an important role in numerous applications. However, long acquisition times and significant data volumes present a challenge to LiDAR imaging.…
Sparse Linear Spectral Unmixing of Hyperspectral images using Expectation-Propagation
Zeng Li, Yoann Altmann, Jie Chen +2
This paper presents a novel Bayesian approach for hyperspectral image unmixing. The observed pixels are modeled by a linear combination of material signatures weighted by their cor…
Robust and Guided Bayesian Reconstruction of Single-Photon 3D Lidar Data: Application to Multispectral and Underwater Imaging
Abderrahim Halimi, Aurora Maccarone, Robert Lamb +2
3D Lidar imaging can be a challenging modality when using multiple wavelengths, or when imaging in high noise environments (e.g., imaging through obscurants). This paper presents a…