José Mennesson

Maître de conférences - Analyse de l'image et de la vidéo pour la segmentation et la reconnaissance d'objets
    0320436421
IMT Lille-Douai - 1er étage - D107N
jose_mennesson.jpg

José Mennesson

Maître de conférences - Analyse de l'image et de la vidéo pour la segmentation et la reconnaissance d'objets

Publications

Article dans des revues

  • Delphine Poux, Benjamin Allaert, José Mennesson, Nacim Ihaddadene, Ioan Marius Bilasco, et al.. Facial Expressions Analysis Under Occlusions Based on Specificities of Facial Motion Propagation. Multimedia Tools and Applications, Springer Verlag, In press. ⟨hal-02859856⟩
  • B. Allaert, J. Mennesson, Ioan Marius Bilasco, C. Djeraba. Impact of the face registration techniques on facial expressions recognition. Signal Processing: Image Communication, Elsevier, 2018, 61, pp.44-53. ⟨10.1016/j.image.2017.11.002⟩. ⟨hal-01644769⟩
  • José Mennesson, Christophe Saint-Jean, Laurent Mascarilla. Color Fourier-Mellin Descriptors for Image Recognition. Pattern Recognition Letters, Elsevier, 2014, ⟨10.1016/j.patrec.2013.12.014⟩. ⟨hal-00920137⟩
  • José Mennesson, Christophe Saint-Jean, Laurent Mascarilla. Un nouvel ensemble de descripteurs de Fourier Clifford pour les images couleur : les GCFD3. Traitement du Signal, Lavoisier, 2012, 29 (3-4-5), pp.359-382. ⟨10.3166/TS.29.359-382⟩. ⟨hal-00808069⟩

Communication dans un congrès

  • Romain Belmonte, Amel Aissaoui, Sofiane Mihoubi, Benjamin Allaert, José Mennesson, et al.. BAREM: A multimodal dataset of individuals interacting with an e-service platform. CBMI 2021 - Content-based Multimedia Indexing, Jun 2021, Lille / Virtual, France. ⟨hal-03263944⟩
  • Sami Barchid, José Mennesson, Chaabane 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. ⟨hal-03264038⟩
  • Sami Barchid, José Mennesson, Chaabane Djeraba. Review on Indoor RGB-D Semantic Segmentation with Deep Convolutional Neural Networks. CBMI 2021 - Content-based Multimedia Indexing, Jun 2021, Lille / Virtual, France. ⟨hal-03264035⟩
  • 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. ⟨hal-01951959⟩
  • Delphine Poux, Benjamin Allaert, José Mennesson, Nacim Ihaddadene, Ioan Marius Bilasco, et al.. 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. ⟨hal-01845363⟩
  • 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⟩. ⟨hal-01380611⟩
  • 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. ⟨hal-01542994⟩
  • 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. ⟨hal-01306045⟩
  • 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. ⟨hal-01306038⟩
  • Poh Lee Wong, Mohd Azam Osman, Talib Abdullah Zawawi, Jean-Christophe Burie, Jean-Marc Ogier, et al.. 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⟩. ⟨hal-01211794⟩
  • José Mennesson, Benjamin Allaert, Ioan Marius Bilasco, Nico van der Aa, Alexandre Denis, et al.. Faces and Thoughts: An Empathic Dairy. IEEE International Conference on Automatic Face and Gesture Recognition, IEEE, May 2015, Ljubljana, Slovenia. ⟨hal-01150212⟩
  • 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⟩. ⟨hal-01128690⟩
  • 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. ⟨hal-00656528⟩
  • 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⟩. ⟨hal-00599963v2⟩
  • 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. ⟨hal-00514919⟩
  • 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. ⟨hal-00453473⟩

Chapitre d'ouvrage

  • 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⟩. ⟨hal-00808093⟩

Thèse

  • José Mennesson. 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⟩. ⟨tel-00703445⟩