activity
20192023
most citedMove-to-Data: A new Continual Learning approach with Deep CNNs, Application for image-class recognition

6 citations · 11 across the 5 of their papers we have counts for

collaborators

8 papers

cs.CV2023

Brain Structure Ages -- A new biomarker for multi-disease classification

Huy-Dung Nguyen, Michaël Clément, Boris Mansencal +1

Age is an important variable to describe the expected brain's anatomy status across the normal aging trajectory. The deviation from that normative aging trajectory may provide some…

cs.AI20231 cited

Sport Task: Fine Grained Action Detection and Classification of Table Tennis Strokes from Videos for MediaEval 2022

Pierre-Etienne Martin, Jordan Calandre, Boris Mansencal +4

Sports video analysis is a widespread research topic. Its applications are very diverse, like events detection during a match, video summary, or fine-grained movement analysis of a…

eess.IV20222 cited

Deep Grading based on Collective Artificial Intelligence for AD Diagnosis and Prognosis

Huy-Dung Nguyen, Michaël Clément, Boris Mansencal +1

Accurate diagnosis and prognosis of Alzheimer's disease are crucial to develop new therapies and reduce the associated costs. Recently, with the advances of convolutional neural ne…

cs.CV20212 cited

Sports Video: Fine-Grained Action Detection and Classification of Table Tennis Strokes from Videos for MediaEval 2021

Pierre-Etienne Martin, Jordan Calandre, Boris Mansencal +4

Sports video analysis is a prevalent research topic due to the variety of application areas, ranging from multimedia intelligent devices with user-tailored digests up to analysis o…

eess.IV2020

DeepLesionBrain: Towards a broader deep-learning generalization for multiple sclerosis lesion segmentation

Reda Abdellah Kamraoui, Vinh-Thong Ta, Thomas Tourdias +3

Recently, segmentation methods based on Convolutional Neural Networks (CNNs) showed promising performance in automatic Multiple Sclerosis (MS) lesions segmentation. These technique…

cs.LG20206 cited

Move-to-Data: A new Continual Learning approach with Deep CNNs, Application for image-class recognition

Miltiadis Poursanidis, Jenny Benois-Pineau, Akka Zemmari +2

In many real-life tasks of application of supervised learning approaches, all the training data are not available at the same time. The examples are lifelong image classification o…