63 citations · 163 across the 7 of their papers we have counts for
7 papers
eMotion-GAN: A Motion-based GAN for Photorealistic and Facial Expression Preserving Frontal View Synthesis
Omar Ikne, Benjamin Allaert, Ioan Marius Bilasco +1
Many existing facial expression recognition (FER) systems encounter substantial performance degradation when faced with variations in head pose. Numerous frontalization methods hav…
Spiking-Fer: Spiking Neural Network for Facial Expression Recognition With Event Cameras
Sami Barchid, Benjamin Allaert, Amel Aissaoui +2
Facial Expression Recognition (FER) is an active research domain that has shown great progress recently, notably thanks to the use of large deep learning models. However, such appr…
Dynamic Facial Expression Recognition under Partial Occlusion with Optical Flow Reconstruction
Delphine Poux, Benjamin Allaert, Nacim Ihaddadene +3
Video facial expression recognition is useful for many applications and received much interest lately. Although some solutions give really good results in a controlled environment…
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…
Facial Expressions Analysis Under Occlusions Based on Specificities of Facial Motion Propagation
Delphine Poux, Benjamin Allaert, Jose Mennesson +3
Although much progress has been made in the facial expression analysis field, facial occlusions are still challenging. The main innovation brought by this contribution consists in…
Optical Flow Techniques for Facial Expression Analysis -- a Practical Evaluation Study
Benjamin Allaert, Isaac Ronald Ward, Ioan Marius Bilasco +2
Optical flow techniques are becoming increasingly performant and robust when estimating motion in a scene, but their performance has yet to be proven in the area of facial expressi…
Advanced local motion patterns for macro and micro facial expression recognition
B. Allaert, IM. Bilasco, C. Djeraba
In this paper, we develop a new method that recognizes facial expressions, on the basis of an innovative local motion patterns feature, with three main contributions. The first one…