An up-to-date list of my publications can be found on:
My ORCID is 0000-0001-8821-5556 and here's a link to my Publons.

Last papers (2020-2023):

  • Amélie Gruel, Dalia Hareb, Antoine Grimaldi, Jean Martinet, Laurent Perrinet, Bernabé Linares-Barranco and Teresa Serrano-Gotarredona. Stakes of Neuromorphic Foveation: a promising future for embedded event cameras. Biological Cybernetics Special Issue: What can Computer Vision learn from Visual Neuroscience? In press. 2023.
  • Dalia Hareb, Jean Martinet. EvSegSNN: Neuromorphic Semantic Segmentation for Event DataIJCNN 2023, Queensland, Australia. June 2023.
  • Amélie Gruel, Jean Martinet, Michele Magno. Simultaneous neuromorphic selection of multiple salient objects for event vision. IJCNN 2023, Queensland, Australia. June 2023.
  • Amélie Gruel, Alfio di Mauro, Robin Hunziker, Luca Benini, Jean Martinet, Michele Magno. Embedded neuromorphic attention model leveraging a novel low-power heterogeneous platform. IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS 2023), Hangzhou, China. June 2023.
  • Hugo Bulzomi, Marcel Schweiker, Amélie Gruel, Jean Martinet. End-to-end Neuromorphic Lip-reading. CVPR 2023 Workshop on Event-based Vision, Vancouver, Canada. June 2023.
  • Amélie Gruel, Lucia Trillo Carreras, Marina Bueno Garcia, Ewa Kupczyk, Jean Martinet. Frugal event data: how small is too small? A human performance assessment with shrinking data. CVPR 2023 Workshop on Event-based Vision, Vancouver, Canada. June 2023.
  • Amélie Gruel, Jean Martinet. Sélection neuromorphique simultanée d’objets saillants dans des événementsORASIS 2023, Carqueiranne, France. May 2023.
  • Dalia Hareb, Jean Martinet. EvSegSNN : Segmentation sémantique neuromorphique pour la vision événementielle. ORASIS 2023, Carqueiranne, France. May 2023.
  • Amélie Gruel, Jean Martinet, Bernabé Linares-Barranco, Teresa Serrano-Gotarredona. Performance comparison of real time DVS data spatial downscaling methods using Spiking Neural Networks. WACV 2023, Hawaï, January 2023.

  • Amélie Gruel, Jean Martinet, Bernabé Linares-Barranco, and Teresa Serrano-Gotarredona. Stakes of foveation on event cameras. ORASIS 2021, Saint Ferréol, France. 2021.
  • Veïs Oudjail, Jean Martinet: Classification of motion directions with spiking neurons: a continual learning caseOn- and Near-sensor Vision Processing, from Photons to Applications (ONSVP), satellite event of IEEE International Conference on Robotics and Automation (ICRA), Xi'an, China, 2021.
  • Amélie Gruel, Jean Martinet: Bio-inspired visual attention for silicon retinas based on spiking neural networks applied to pattern classification. Content-Based Multimedia Indexing (CBMI), Lille, France, 2021.
  • Jalila Filali, Hajer B. Zghal and Jean Martinet: OntoAnnClass: Ontology-Based Image Annotation driven by Classification using HMAX features. Multimedia Tools and Applications, 80(5): 6823-6851, 2021.
  • Jalila Filali, Hajer B. Zghal and Jean Martinet: Comparing HMAX and BoVW Models for Large-Scale Image Classification. 25th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems (KES), Szczecin, Poland, 2021,

  • Alex Vigneron, Jean Martinet: A critical survey of STDP in Spiking Neural Networks for Pattern Recognition. International Joint Conference on Neural Networks (IJCNN), 2020 (check the RG preprint).
  • Veïs Oudjail, Jean Martinet: Meta-parameters exploration for unsupervised event-based motion analysis. VISIGRAPP: VISAPP, Valletta, Malta 2020 (check the HAL preprint).
  • Jalila Filali, Hajer B. Zghal and Jean Martinet: Ontology-based Image Classification and Annotation. International Journal of Pattern Recognition and Artificial Intelligence, 2020.