144 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Centre de Recherche en Informatique, Signal et Automatique de LilleFR14 papers
- Centre National de la Recherche ScientifiqueFR11 papers
- Université de LilleFR11 papers
- IMT Nord EuropeFR10 papers
- Institut Mines-TélécomFR5 papers
- École Centrale de LilleFR3 papers
- Universitat de ValènciaES3 papers
- University College LondonGB3 papers
- Universidad Carlos III de MadridES2 papers
- University of CambridgeGB2 papers
- University of FlorenceIT2 papers
- University of SheffieldGB2 papers
5 papers · 1 filter
Improving STDP-based Visual Feature Learning with Whitening
Pierre Falez, Pierre Tirilly, Ioan Marius Bilasco
In recent years, spiking neural networks (SNNs) emerge as an alternative to deep neural networks (DNNs). SNNs present a higher computational efficiency using low-power neuromorphic…
Dynamic Facial Expression Generation on Hilbert Hypersphere with Conditional Wasserstein Generative Adversarial Nets
Naima Otberdout, Mohamed Daoudi, Anis Kacem +2
In this work, we propose a novel approach for generating videos of the six basic facial expressions given a neutral face image. We propose to exploit the face geometry by modeling…
Impact of facial landmark localization on facial expression recognition
Romain Belmonte, Benjamin Allaert, Pierre Tirilly +3
Although facial landmark localization (FLL) approaches are becoming increasingly accurate for characterizing facial regions, one question remains unanswered: what is the impact of…
Unsupervised Visual Feature Learning with Spike-timing-dependent Plasticity: How Far are we from Traditional Feature Learning Approaches?
Pierre Falez, Pierre Tirilly, Ioan Marius Bilasco +2
Spiking neural networks (SNNs) equipped with latency coding and spike-timing dependent plasticity rules offer an alternative to solve the data and energy bottlenecks of standard co…
Deep Covariance Descriptors for Facial Expression Recognition
Naima Otberdout, Anis Kacem, Mohamed Daoudi +2
In this paper, covariance matrices are exploited to encode the deep convolutional neural networks (DCNN) features for facial expression recognition. The space geometry of the covar…