8 citations · 18 across the 6 of their papers we have counts for
6 papers
Mixture Domain Adaptation to Improve Semantic Segmentation in Real-World Surveillance
Sébastien Piérard, Anthony Cioppa, Anaïs Halin +5
Various tasks encountered in real-world surveillance can be addressed by determining posteriors (e.g. by Bayesian inference or machine learning), based on which critical decisions…
Real-time image-guided treatment of mobile tumors in proton therapy by a library of treatment plans: a simulation study
Valentin Hamaide, Kevin Souris, Damien Dasnoy +2
Purpose: To improve target coverage and reduce the dose in the surrounding organs-at-risks (OARs), we developed an image-guided treatment method based on a precomputed library of t…
Optimal Intermittent Particle Filter
Antoine Aspeel, Amaury Gouverneur, Raphaël M. Jungers +1
The problem of the optimal allocation (in the expected mean square error sense) of a measurement budget for particle filtering is addressed. We propose three different optimal inte…
Optimal Control for Linear Networked Control Systems with Information Transmission Constraints
Antoine Aspeel, Kwesi Rutledge, Raphaël M. Jungers +2
This paper addresses the problem of robust control of a linear discrete-time system subject to bounded disturbances and to measurement and control budget constraints. Using Q-param…
Solving inverse problems with deep neural networks driven by sparse signal decomposition in a physics-based dictionary
Gaetan Rensonnet, Louise Adam, Benoit Macq
Deep neural networks (DNN) have an impressive ability to invert very complex models, i.e. to learn the generative parameters from a model's output. Once trained, the forward pass o…
Prognostic Power of Texture Based Morphological Operations in a Radiomics Study for Lung Cancer
Paul Desbordes, Diksha, Benoit Macq
The importance of radiomics features for predicting patient outcome is now well-established. Early study of prognostic features can lead to a more efficient treatment personalisati…