72 citations · 94 across the 7 of their papers we have counts for
10 papers
3D Convolutional Networks for Action Recognition: Application to Sport Gesture Recognition
Pierre-Etienne Martin, J Benois-Pineau, R Péteri +2
3D convolutional networks is a good means to perform tasks such as video segmentation into coherent spatio-temporal chunks and classification of them with regard to a target taxono…
Three-Stream 3D/1D CNN for Fine-Grained Action Classification and Segmentation in Table Tennis
Pierre-Etienne Martin, Jenny Benois-Pineau, Renaud Péteri +1
This paper proposes a fusion method of modalities extracted from video through a three-stream network with spatio-temporal and temporal convolutions for fine-grained action classif…
3D attention mechanism for fine-grained classification of table tennis strokes using a Twin Spatio-Temporal Convolutional Neural Networks
Pierre-Etienne Martin, Jenny Benois-Pineau, Renaud Péteri +1
The paper addresses the problem of recognition of actions in video with low inter-class variability such as Table Tennis strokes. Two stream, "twin" convolutional neural networks a…
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…
Improvements of Motion Estimation and Coding using Neural Networks
Raz Birman, Yoram Segal, Ofer Hadar +1
Inter-Prediction is used effectively in multiple standards, including H.264 and HEVC (also known as H.265). It leverages correlation between blocks of consecutive video frames in o…
3D Inception-based CNN with sMRI and MD-DTI data fusion for Alzheimer's Disease diagnostics
Alexander Khvostikov, Karim Aderghal, Andrey Krylov +2
In the last decade, computer-aided early diagnostics of Alzheimer's Disease (AD) and its prodromal form, Mild Cognitive Impairment (MCI), has been the subject of extensive research…