617 citations · 678 across the 4 of their papers we have counts for
4 papers
HDR image reconstruction from a single exposure using deep CNNs
Gabriel Eilertsen, Joel Kronander, Gyorgy Denes +2
Camera sensors can only capture a limited range of luminance simultaneously, and in order to create high dynamic range (HDR) images a set of different exposures are typically combi…
Procedural Modeling and Physically Based Rendering for Synthetic Data Generation in Automotive Applications
Apostolia Tsirikoglou, Joel Kronander, Magnus Wrenninge +1
We present an overview and evaluation of a new, systematic approach for generation of highly realistic, annotated synthetic data for training of deep neural networks in computer vi…
Accelerating pseudo-marginal Metropolis-Hastings by correlating auxiliary variables
Johan Dahlin, Fredrik Lindsten, Joel Kronander +1
Pseudo-marginal Metropolis-Hastings (pmMH) is a powerful method for Bayesian inference in models where the posterior distribution is analytical intractable or computationally costl…
A Unified Framework for Multi-Sensor HDR Video Reconstruction
Joel Kronander, Stefan Gustavson, Gerhard Bonnet +2
One of the most successful approaches to modern high quality HDR-video capture is to use camera setups with multiple sensors imaging the scene through a common optical system. Howe…