no code implementations • Pattern Recognition Letters 2023 • Yasser Boutaleb, Catherine Soladie, Nam-Duong Duong, Amine Kacete, Jérôme Royan, Renaud Seguier
We propose in this paper a new composite DML loss function that, in addition to the intra-class compactness, explicitly implies regulations to enforce the best inter-class separation by mutually equidistantly distributing the centers of the classes.
Ranked #1 on Image Clustering on CUB-200-2011
no code implementations • 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications 2022 • Yasser Boutaleb, Catherine Soladie, Nam-Duong Duong Jérôme Royan, Renaud Seguier
For a given RGB image activity sequence, in the first stage, the regions of interest are extracted using a pre-trained neural network (NN).
no code implementations • 7 Jul 2021 • Mouath Aouayeb, Wassim Hamidouche, Catherine Soladie, Kidiyo Kpalma, Renaud Seguier
The multiple sources of the available databases raised several challenges for facial recognition task.
Ranked #1 on Facial Expression Recognition (FER) on RaFD
no code implementations • 10 Feb 2021 • Yasser Boutaleb, Catherine Soladie, Nam-Duong Duong, Amine Kacete, Jérôme Royan, Renaud Seguier
Recognizing first-person hand activity is a challenging task, especially when not enough data are available.
Ranked #1 on Skeleton Based Action Recognition on First-Person Hand Action Benchmark (1:1 Accuracy metric)
no code implementations • 8 Jan 2020 • Anup Anand Deshmukh, Catherine Soladie, Renaud Seguier
There are certain emotions which are given more importance due to their effectiveness in understanding human feelings.
no code implementations • 26 Dec 2018 • Jingting Li, Catherine Soladie, Renaud Sguier, Su-Jing Wang, Moi Hoon Yap
This paper presents baseline results for the first Micro-Expression Spotting Challenge 2019 by evaluating local temporal pattern (LTP) on SAMM and CAS(ME)2.