
Jose Mennesson
Publications
Oumaima Marsi, Sébastien Ambellouis, José Mennesson, Cyril Meurie, Anthony Fleury, Charles Tatkeu
A Review On Fusion Of Spiking Neural Networks And Transformers
2025 IEEE 6th International Conference on Image Processing, Applications and Systems (IPAS), Jan 2025, Lyon, France. pp.1-6, ⟨10.1109/IPAS63548.2025.10924503⟩
Krushna Shinde, Vincent Itier, José Mennesson, Dmytro Vasiukov, Modesar Shakoor
Un modèle réduit basé sur l'apprentissage profond pour prédire l'initiation et la propagation de fissures
JET'2024 International Congress for Applied Mechanics, Association Française de Mécanique et des Matériaux, Nov 2024, Marrakech, Maroc
Modesar Shakoor, Vincent Itier, José Mennesson
Deep learning for accelerating computational homogenization schemes: application to flows in porous media
9th European Congress on Computational Methods in Applied Sciences and Engineering (ECCOMAS), Jun 2024, Lisbon, Portugal
Sami Barchid, Benjamin Allaert, Amel Aissaoui, José Mennesson, Chaabane Chabane Djeraba
Spiking-Fer: Spiking Neural Network for Facial Expression Recognition With Event Cameras
20th International Conference on Content-based Multimedia Indexing, Sep 2023, Orléans (France), France
Sami Barchid, José Mennesson, Jason Eshraghian, Chaabane Djéraba, Mohammed Bennamoun
Spiking neural networks for frame-based and event-based single object localization
Neurocomputing, 2023, pp.126805. ⟨10.1016/j.neucom.2023.126805⟩
Sami Barchid, José Mennesson, Chaabane Chabane Djeraba
Exploring Joint Embedding Architectures and Data Augmentations for Self-Supervised Representation Learning in Event-Based Vision
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), Jun 2023, Vancouver, Canada. pp.3902-3911
Matthieu Dabrowski, José Mennesson, Jérôme Riedi, Chaabane Chabane Djeraba
Semi-supervised GAN with sparse ground truth as Boundary Conditions
IEEE International Joint Conference on Neural Networks 2023, Jun 2023, Queensland, Australia
Krushna Shinde, Vincent Itier, José Mennesson, Dmytro Vasiukov, Modesar Shakoor
Dimensionality reduction through convolutional autoencoders for fracture patterns prediction
Applied Mathematical Modelling, 2023, 114, pp.94-113. ⟨10.1016/j.apm.2022.09.034⟩
Sami Barchid, José Mennesson, Chaabane Djeraba
Bina-Rep Event Frames: A Simple and Effective Representation for Event-Based Cameras
2022 IEEE International Conference on Image Processing (ICIP), Oct 2022, Bordeaux, France. pp.3998-4002, ⟨10.1109/ICIP46576.2022.9898061⟩
Sami Barchid, José Mennesson, Chaabane Chabane Djeraba
Review on Indoor RGB-D Semantic Segmentation with Deep Convolutional Neural Networks
CBMI 2021 - Content-based Multimedia Indexing, Jun 2021, Lille / Virtual, France
Sami Barchid, José Mennesson, Chaabane Chabane Djeraba
Deep Spiking Convolutional Neural Network for Single Object Localization Based On Deep Continuous Local Learning
CBMI 2021 - Content-based Multimedia Indexing, Jun 2021, Lille / Virtual, France
Romain Belmonte, Amel Aissaoui, Sofiane Mihoubi, Benjamin Allaert, José Mennesson, Ioan Marius Bilasco, Laurent Goncalves
BAREM: A multimodal dataset of individuals interacting with an e-service platform
CBMI 2021 - Content-based Multimedia Indexing, Jun 2021, Lille / Virtual, France
Delphine Poux, Benjamin Allaert, José Mennesson, Nacim Ihaddadene, Ioan Marius Bilasco, Chaabane Djeraba
Facial Expressions Analysis Under Occlusions Based on Specificities of Facial Motion Propagation
Multimedia Tools and Applications, In press
Tatiana De-Wyse, Emmanuel Renaux, José Mennesson
Using sketch recognition for capturing developer's mental models
The 3rd Workshop on Human Factors in Modeling, Oct 2018, Copenhagen, Denmark
Delphine Poux, Benjamin Allaert, José Mennesson, Nacim Ihaddadene, Ioan Marius Bilasco, Chaabane Djeraba
Mastering Occlusions by Using Intelligent Facial Frameworks Based on the Propagation of Movement
International Conference on Content-Based Multimedia Indexing (CBMI), Sep 2018, La Rochelle, France
B. Allaert, J. Mennesson, Ioan Marius Bilasco, C. Djeraba
Impact of the face registration techniques on facial expressions recognition
Signal Processing: Image Communication, 2018, 61, pp.44-53. ⟨10.1016/j.image.2017.11.002⟩
Benjamin Allaert, José Mennesson, Ioan Marius Bilasco
EmoGame: Towards a Self-Rewarding Methodology for Capturing Children Faces in an Engaging Context
7th International Workshop, HBU 2016 at ACMMM 2016 , Oct 2016, Amsterdam, Netherlands. ⟨10.1007/978-3-319-46843-3_1⟩
José Mennesson, Benjamin Allaert, Ioan Marius Bilasco
Fast head turns detection in low quality videos using optical flow
Reconnaissance des Formes et l'Intelligence Artificielle (RFIA), Jun 2016, Clermont-Ferrand, France
Benjamin Allaert, José Mennesson, Ioan Marius Bilasco, Chaabane Djeraba
Etude de la dynamique du visage en situation d'interaction naturelle
COmpression et REprésentation des Signaux Audiovisuels (CORESA) 2016, May 2016, Nancy, France
José Mennesson, Afifa Dahmane, Taner Danisman, Ioan Marius Bilasco
Head Yaw Estimation using Frontal Face Detector
International Conference on Computer Vision Theory and Applications (VISAPP), Feb 2016, Porto, Portugal
Poh Lee Wong, Mohd Azam Osman, Talib Abdullah Zawawi, Jean-Christophe Burie, Jean-Marc Ogier, Khairun Yahya, José Mennesson
Recognition of fish based on generalized color Fourier descriptor
Science and Information Conference (SAI), Jul 2015, London, United Kingdom. pp.680 - 686, ⟨10.1109/SAI.2015.7237215⟩
José Mennesson, Benjamin Allaert, Ioan Marius Bilasco, Nico van Der Aa, Alexandre A. J. Denis, Samuel Cruz-Lara
Faces and Thoughts: An Empathic Dairy
IEEE International Conference on Automatic Face and Gesture Recognition, IEEE, May 2015, Ljubljana, Slovenia
José Mennesson, Pierre Tirilly, Jean Martinet
Elementary block extraction for mobile image search
International Conference on Image Processing, Oct 2014, Paris, France. ⟨10.1109/ICIP.2014.7025804⟩
José Mennesson, Christophe Saint-Jean, Laurent Mascarilla
Color Fourier-Mellin Descriptors for Image Recognition
Pattern Recognition Letters, 2014, ⟨10.1016/j.patrec.2013.12.014⟩
José Mennesson, Christophe Saint-Jean, Laurent Mascarilla
Un nouvel ensemble de descripteurs de Fourier Clifford pour les images couleur : les GCFD3
RFIA 2012 (Reconnaissance des Formes et Intelligence Artificielle), Jan 2012, Lyon, France. pp.978-2-9539515-2-3
José Mennesson, Christophe Saint-Jean, Laurent Mascarilla
Un nouvel ensemble de descripteurs de Fourier Clifford pour les images couleur : les GCFD3
Traitement du Signal, 2012, 29 (3-4-5), pp.359-382. ⟨10.3166/TS.29.359-382⟩
Méthodes fréquentielles pour la reconnaissance d'images couleur : une approche par les algèbres de Clifford
Mathématiques générales [math.GM]. Université de La Rochelle, 2011. Français. ⟨NNT : 2011LAROS337⟩
José Mennesson, Christophe Saint-Jean, Laurent Mascarilla
Color Object Recognition Based On Clifford Fourier Transform
Leo Dorst and Joan Lasenby. Guide to Geometric Algebra in Practice, Springer London, pp.175-191, 2011, 978-0-85729-810-2. ⟨10.1007/978-0-85729-811-9_9⟩
José Mennesson, Christophe Saint-Jean, Laurent Mascarilla
New geometric fourier descriptors for color image recognition
International Conference on Image Processing (ICIP), Sep 2010, Hong Kong, China. pp.2685-2688, ⟨10.1109/ICIP.2010.5651939⟩
José Mennesson, Christophe Saint-Jean, Laurent Mascarilla
A phase correlation for color images using Clifford algebra
Applied Geometric Algebras in Computer Science and Engineering, Jun 2010, Amsterdam, Netherlands
José Mennesson, Christophe Saint-Jean, Laurent Mascarilla
De nouveaux descripteurs de Fourier géométriques pour l'analyse d'images couleur
Reconnaissance des Formes et Intelligence Artificielle, Jan 2010, Caen, France. pp.599-606
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