2 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Phoenix Scientific Industries (United Kingdom)GB2 papers
- ROBOTLEARN: Apprentissage, perception et commande pour des robots sociauxFR2 papers
- Active Technologies (Italy)IT1 paper
- Computing CenterRU1 paper
- Delft University of TechnologyNL1 paper
- Georgia Institute of TechnologyUS1 paper
- IBM Research - ZurichCH1 paper
- Institut national de recherche en sciences et technologies du numériqueFR1 paper
- Interactive Research and DevelopmentPK1 paper
- International Project Management, Plating and Materials (France)FR1 paper
- Karlsruhe Institute of TechnologyDE1 paper
- Laboratoire d'Informatique de GrenobleFR1 paper
6 papers
Posterior Transition Modeling for Unsupervised Diffusion-Based Speech Enhancement
Mostafa Sadeghi, Jean-Eudes Ayilo, Romain Serizel +1
We explore unsupervised speech enhancement using diffusion models as expressive generative priors for clean speech. Existing approaches guide the reverse diffusion process using no…
Diffusion-based Unsupervised Audio-visual Speech Enhancement
Jean-Eudes Ayilo, Mostafa Sadeghi, Romain Serizel +1
This paper proposes a new unsupervised audio-visual speech enhancement (AVSE) approach that combines a diffusion-based audio-visual speech generative model with a non-negative matr…
A Comprehensive Multi-scale Approach for Speech and Dynamics Synchrony in Talking Head Generation
Louis Airale, Dominique Vaufreydaz, Xavier Alameda-Pineda
Animating still face images with deep generative models using a speech input signal is an active research topic and has seen important recent progress.However, much of the effort h…
A weighted-variance variational autoencoder model for speech enhancement
Ali Golmakani, Mostafa Sadeghi, Xavier Alameda-Pineda +1
We address speech enhancement based on variational autoencoders, which involves learning a speech prior distribution in the time-frequency (TF) domain. A zero-mean complex-valued G…
Autoregressive GAN for Semantic Unconditional Head Motion Generation
Louis Airale, Xavier Alameda-Pineda, Stéphane Lathuilière +1
In this work, we address the task of unconditional head motion generation to animate still human faces in a low-dimensional semantic space from a single reference pose. Different f…
Quantum Games and Interactive Tools for Quantum Technologies Outreach and Education
Zeki C. Seskir, Piotr Migdał, Carrie Weidner +21
In this article, we provide an extensive overview of a wide range of quantum games and interactive tools that have been employed by the community in recent years. The paper present…