169 citations · 528 across the 23 of their papers we have counts for
9 papers · 1 filter
VQ-HPS: Human Pose and Shape Estimation in a Vector-Quantized Latent Space
Guénolé Fiche, Simon Leglaive, Xavier Alameda-Pineda +2
Previous works on Human Pose and Shape Estimation (HPSE) from RGB images can be broadly categorized into two main groups: parametric and non-parametric approaches. Parametric techn…
SwimXYZ: A large-scale dataset of synthetic swimming motions and videos
Fiche Guénolé, Sevestre Vincent, Gonzalez-Barral Camila +2
Technologies play an increasingly important role in sports and become a real competitive advantage for the athletes who benefit from it. Among them, the use of motion capture is de…
The CHiME-7 UDASE task: Unsupervised domain adaptation for conversational speech enhancement
Simon Leglaive, Léonie Borne, Efthymios Tzinis +6
Supervised speech enhancement models are trained using artificially generated mixtures of clean speech and noise signals, which may not match real-world recording conditions at tes…
Unsupervised speech enhancement with deep dynamical generative speech and noise models
Xiaoyu Lin, Simon Leglaive, Laurent Girin +1
This work builds on a previous work on unsupervised speech enhancement using a dynamical variational autoencoder (DVAE) as the clean speech model and non-negative matrix factorizat…
Motion-DVAE: Unsupervised learning for fast human motion denoising
Guénolé Fiche, Simon Leglaive, Xavier Alameda-Pineda +1
Pose and motion priors are crucial for recovering realistic and accurate human motion from noisy observations. Substantial progress has been made on pose and shape estimation from…
A multimodal dynamical variational autoencoder for audiovisual speech representation learning
Samir Sadok, Simon Leglaive, Laurent Girin +2
In this paper, we present a multimodal and dynamical VAE (MDVAE) applied to unsupervised audio-visual speech representation learning. The latent space is structured to dissociate t…