Publications de Matthew Brown | EPFL Graph Search

AIM 2020: Scene Relighting and Illumination Estimation Challenge

Sabine Süsstrunk, Majed El Helou, Ruofan Zhou, Matthew Brown, Xin Huang, Radu Timofte, Tongtong Zhao, Shanshan Zhao, Yu Zhu, Yuzhong Liu

We review the AIM 2020 challenge on virtual image relighting and illumination estimation. This paper presents the novel VIDIT dataset used in the challenge and the different proposed solutions and final evaluation results over the 3 challenge tracks. The f ...

2020

Analysis of deposited layers with deuterium and impurity elements on samples from the divertor of JET with ITER-like wall

Olivier Sauter, Ambrogio Fasoli, Basil Duval, Stefano Coda, Yves Martin, Jonathan Graves, Duccio Testa, Cristian Sommariva, Patrick Blanchard, Bruno Emanuel Ferreira De Sousa Correia

Inconel-600 blocks and stainless steel covers for quartz microbalance crystals from remote corners in the JET-ILW divertor were studied with time-of-flight elastic recoil detection analysis and nuclear reaction analysis to obtain information about the area ...

2019

Tritium distributions on W-coated divertor tiles used in the third JET ITER-like wall campaign

Olivier Sauter, Ambrogio Fasoli, Basil Duval, Stefano Coda, Yves Martin, Jonathan Graves, Duccio Testa, Cristian Sommariva, Bruno Emanuel Ferreira De Sousa Correia, Patrick Blanchard

Tritium (T) distributions on tungsten (W)-coated plasma-facing tiles used in the third ITER-like wall campaign (2015-2016) of the Joint European Torus (JET) were examined by means of an imaging plate technique and beta-ray induced x-ray spectrometry, and t ...

Elsevier2019

Population modelling of the He II energy levels in tokamak plasmas: I. Collisional excitation model

Olivier Sauter, Ambrogio Fasoli, Basil Duval, Stefano Coda, Yves Martin, Jonathan Graves, Duccio Testa, Cristian Sommariva, Patrick Blanchard, Bruno Emanuel Ferreira De Sousa Correia

Helium is widely used as a fuel or minority gas in laboratory fusion experiments, and will be present as ash in DT thermonuclear plasmas. It is therefore essential to have a good understanding of its atomic physics. To this end He II population modelling h ...

IOP Publishing2019

Neutron spectroscopy measurements of 14 MeV neutrons at unprecedented energy resolution and implications for deuterium-tritium fusion plasma diagnostics

Olivier Sauter, Ambrogio Fasoli, Basil Duval, Stefano Coda, Yves Martin, Jonathan Graves, Duccio Testa, Cristian Sommariva, Bruno Emanuel Ferreira De Sousa Correia, Patrick Blanchard

An accurate calibration of the JET neutron diagnostics with a 14 MeV neutron generator was performed in the first half of 2017 in order to provide a reliable measurement of the fusion power during the next JET deuterium-tritium (DT) campaign. In order to m ...

IOP PUBLISHING LTD2018

14 MeV calibration of JET neutron detectors-phase 1: calibration and characterization of the neutron source

Olivier Sauter, Ambrogio Fasoli, Basil Duval, Stefano Coda, Yves Martin, Jonathan Graves, Duccio Testa, Cristian Sommariva, Patrick Blanchard, Bruno Emanuel Ferreira De Sousa Correia

In view of the planned DT operations at JET, a calibration of the JET neutron monitors at 14 MeV neutron energy is needed using a 14 MeV neutron generator deployed inside the vacuum vessel by the JET remote handling system. The target accuracy of this cali ...

IOP Publishing Ltd2018

On the Relevance of Sparsity for Image Classification

Pascal Fua, Vincent Lepetit, Engin Türetken, Germán González Serrano, Roberto Rigamonti, Matthew Brown, Fethallah Benmansour

In this paper we empirically analyze the importance of sparsifying representations for classification purposes. We focus on those obtained by convolving images with linear filters, which can be either hand designed or learned, and perform extensive experim ...

Elsevier2014

Temporally Consistent Snow Cover Estimation from Noisy, Irregularly Sampled Measurements

Sabine Süsstrunk, Matthew Brown, Dominic Rüfenacht

We propose a method for accurate and temporally consistent surface classification in the presence of noisy, irregularly sampled measurements, and apply it to the estimation of snow coverage over time. The input imagery is extremely challenging, with large ...

2014

A New In-Camera Imaging Model for Color Computer Vision and its Application

Sabine Süsstrunk, Seungryong Kim, Matthew Brown

We present a study of the in-camera image processing through an extensive analysis of more than 10,000 images from over 30 cameras. The goal of this work is to investigate if image values can be transformed to physically meaningful values, and if so, when ...

Institute of Electrical and Electronics Engineers2012

Kernel regression for real-time building energy analysis

Matthew Brown

This study proposes a new technique for real-time building energy modelling and event detection using kernel regression. We show that this technique can exceed the performance of conventional neural network algorithms, and do so by a large margin when the ...

Taylor & Francis Ltd2012