activity
20102022
most citedSecure Architectures Implementing Trusted Coalitions for Blockchained Distributed Learning (TCLearn)

40 citations · 45 across the 5 of their papers we have counts for

collaborators

8 papers

eess.IV2022

Forward Error Correction applied to JPEG-XS codestreams

Antoine Legrand, Benoît Macq, Christophe De Vleeschouwer

JPEG-XS offers low complexity image compression for applications with constrained but reasonable bit-rate, and low latency. Our paper explores the deployment of JPEG-XS on lossy pa…

physics.med-ph2020

A Signal Peak Separation Index for axisymmetric B-tensor encoding

Gaëtan Rensonnet, Jonathan Rafael-Patiño, Benoît Macq +3

Diffusion-weighted MRI (DW-MRI) has recently seen a rising interest in planar, spherical and general B-tensor encodings. Some of these sequences have aided traditional linear encod…

eess.SY2020

Optimal measurement budget allocation for particle filtering

Antoine Aspeel, Amaury Gouverneur, Raphaël M. Jungers +1

Particle filtering is a powerful tool for target tracking. When the budget for observations is restricted, it is necessary to reduce the measurements to a limited amount of samples…

eess.IV2020

Sensor-aided block matching algorithm for translational motion estimation through a depth map

Karim El Khoury, Pascal Pellegrin, Antonin Descampe +2

A large number of cameras embedded on smart-phones, drones or inside cars have a direct access to external motion sensing from gyroscopes and accelerometers. On these power-limited…

cs.CR2019★ 40 cited

Secure Architectures Implementing Trusted Coalitions for Blockchained Distributed Learning (TCLearn)

Sebastien Lugan, Paul Desbordes, Luis Xavier Ramos Tormo +2

Distributed learning across a coalition of organizations allows the members of the coalition to train and share a model without sharing the data used to optimize this model. In thi…

stat.AP2019★ 4 cited

Optimal Intermittent Measurements for Tumor Tracking in X-ray Guided Radiotherapy

Antoine Aspeel, Damien Dasnoy, Raphaël M. Jungers +1

In radiation therapy, tumor tracking is a challenging task that allows a better dose delivery. One practice is to acquire X-ray images in real-time during treatment, that are used…