New geometric fourier descriptors for color image recognition. - José Mennesson; Christophe Saint-Jean; Laurent Mascarilla (ICIP, 2010)

Color Object Recognition Based on a Clifford Fourier Transform. - José Mennesson; Christophe Saint-Jean; Laurent Mascarilla (Guide to Geometric Algebra in Practice, 2011)

Un nouvel ensemble de descripteurs de Fourier Clifford pour les images couleur. Les GCFD3. - José Mennesson; Christophe Saint-Jean; Laurent Mascarilla (Traitement du Signal, 2012)

Elementary block extraction for mobile image search. - José Mennesson; Pierre Tirilly; Jean Martinet (ICIP, 2014)

Color Fourier-Mellin descriptors for image recognition. - José Mennesson; Christophe Saint-Jean; Laurent Mascarilla (Pattern Recognit. Lett., 2014)

Faces and thoughts: An empathic dairy. - José Mennesson; Benjamin Allaert; Ioan Marius Bilasco; Nico Van der Aa; Alexandre Denis 002; Samuel Cruz-Lara (FG, 2015)

EmoGame: Towards a Self-Rewarding Methodology for Capturing Children Faces in an Engaging Context. - Benjamin Allaert; José Mennesson; Ioan Marius Bilasco (HBU, 2016)

Head Yaw Estimation using Frontal Face Detector. - José Mennesson; Afifa Dahmane; Taner Danisman; Ioan Marius Bilasco (VISIGRAPP (4: VISAPP), 2016)

Mastering Occlusions by Using Intelligent Facial Frameworks Based on the Propagation of Movement. - Delphine Poux; Benjamin Allaert; José Mennesson; Nacim Ihaddadene; Ioan Marius Bilasco; Chabane Djeraba (CBMI, 2018)

Using sketch recognition for capturing developer's mental models. - Tatiana De-Wyse; Emmanuel Renaux; José Mennesson (MoDELS (Workshops), 2018)

Impact of the face registration techniques on facial expressions recognition. - Benjamin Allaert; José Mennesson; Ioan Marius Bilasco; Chabane Djeraba (Signal Process. Image Commun., 2018)

Review on Indoor RGB-D Semantic Segmentation with Deep Convolutional Neural Networks. - Sami Barchid; José Mennesson; Chaabane Djeraba (CBMI, 2021)

Deep Spiking Convolutional Neural Network for Single Object Localization Based On Deep Continuous Local Learning. - Sami Barchid; José Mennesson; Chaabane Djeraba (CBMI, 2021)

BAREM: A multimodal dataset of individuals interacting with an e-service platform. - Romain Belmonte; Amel Aissaoui; Sofiane Mihoubi; Benjamin Allaert; José Mennesson; Ioan Marius Bilasco; Laurent Goncalves (CBMI, 2021)

Facial expressions analysis under occlusions based on specificities of facial motion propagation. - Delphine Poux; Benjamin Allaert; José Mennesson; Nacim Ihaddadene; Ioan Marius Bilasco; Chaabane Djeraba (Multim. Tools Appl., 2021)

Bina-Rep Event Frames: A Simple and Effective Representation for Event-Based Cameras. - Sami Barchid; José Mennesson; Chaabane Djeraba (ICIP, 2022)

Spiking-Fer: Spiking Neural Network for Facial Expression Recognition With Event Cameras. - Sami Barchid; Benjamin Allaert; Amel Aissaoui; José Mennesson; Chaabane Djeraba (CBMI, 2023)

Exploring Joint Embedding Architectures and Data Augmentations for Self-Supervised Representation Learning in Event-Based Vision. - Sami Barchid; José Mennesson; Chaabane Djeraba (CVPR Workshops, 2023)

Semi-supervised GAN with sparse ground truth as Boundary Conditions. - Matthieu Dabrowski; José Mennesson; Jérôme C. Riedi; Chaabane Djeraba (IJCNN, 2023)

Spiking neural networks for frame-based and event-based single object localization. - Sami Barchid; José Mennesson; Jason Eshraghian; Chaabane Djeraba; Mohammed Bennamoun (Neurocomputing, 2023)

A Review On Fusion Of Spiking Neural Networks And Transformersc. - Oumaima Marsi; Sébastien Ambellouis; José Mennesson; Cyril Meurie; Anthony Fleury; Charles Tatkeu (IPAS, 2025)