1 code implementation • 15 Apr 2024 • Omar Ikne, Benjamin Allaert, Ioan Marius Bilasco, Hazem Wannous
Considering the motion induced by head variation as noise and the motion induced by facial expression as the relevant information, our model is trained to filter out the noisy motion in order to retain only the motion related to facial expression.
Facial Expression Recognition Facial Expression Recognition (FER)
no code implementations • 28 Feb 2024 • Bruno Henriques, Benjamin Allaert, Jean-Philippe Vandeborre
In this context, inpainting indoor environments from a single image plays a crucial role in modeling the internal structure of interior spaces as it enables the creation of textured and clutter-free reconstructions.
no code implementations • 20 Apr 2023 • Sami Barchid, Benjamin Allaert, Amel Aissaoui, José Mennesson, Chaabane Djéraba
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.
no code implementations • 24 Dec 2020 • Delphine Poux, Benjamin Allaert, Nacim Ihaddadene, Ioan Marius Bilasco, Chaabane Djeraba, Mohammed Bennamoun
To handle occlusions, solutions based on the reconstruction of the occluded part of the face have been proposed.
Dynamic Facial Expression Recognition Facial Expression Recognition +2
no code implementations • 26 May 2019 • Romain Belmonte, Benjamin Allaert, Pierre Tirilly, Ioan Marius Bilasco, Chaabane Djeraba, Nicu Sebe
Although facial landmark localization (FLL) approaches are becoming increasingly accurate for characterizing facial regions, one question remains unanswered: what is the impact of these approaches on subsequent related tasks?
no code implementations • 30 Apr 2019 • Delphine Poux, Benjamin Allaert, Jose Mennesson, Nacim Ihaddadene, Ioan Marius Bilasco, Chaabane Djeraba
The main innovation brought by this contribution consists in exploiting the specificities of facial movement propagation for recognizing expressions in presence of important occlusions.
no code implementations • 25 Apr 2019 • Benjamin Allaert, Isaac Ronald Ward, Ioan Marius Bilasco, Chaabane Djeraba, Mohammed Bennamoun
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 expression recognition.