65 citations · 104 across the 5 of their papers we have counts for
6 papers
FacEnhance: Facial Expression Enhancing with Recurrent DDPMs
Hamza Bouzid, Lahoucine Ballihi
Facial expressions, vital in non-verbal human communication, have found applications in various computer vision fields like virtual reality, gaming, and emotional AI assistants. De…
SpATr: MoCap 3D Human Action Recognition based on Spiral Auto-encoder and Transformer Network
Hamza Bouzid, Lahoucine Ballihi
Recent technological advancements have significantly expanded the potential of human action recognition through harnessing the power of 3D data. This data provides a richer underst…
Facial Expression Video Generation Based-On Spatio-temporal Convolutional GAN: FEV-GAN
Hamza Bouzid, Lahoucine Ballihi
Facial expression generation has always been an intriguing task for scientists and researchers all over the globe. In this context, we present our novel approach for generating vid…
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…
Automatic Analysis of Facial Expressions Based on Deep Covariance Trajectories
Naima Otberdout, Anis Kacem, Mohamed Daoudi +2
In this paper, we propose a new approach for facial expression recognition using deep covariance descriptors. The solution is based on the idea of encoding local and global Deep 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…