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 • 30 Mar 2023 • Matthieu Delmas, Amine Kacete, Stephane Paquelet, Simon Leglaive, Renaud Seguier
Combined with other recent studies on the interpretation and manipulation of this latent space, we believe that the proposed approach can further help in developing frugal deepfake classification methods based on interpretable high-level properties of face images.
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.