research
∙
06/09/2023
Motion-DVAE: Unsupervised learning for fast human motion denoising
Pose and motion priors are crucial for recovering realistic and accurate...
share
research
∙
05/05/2023
A Multimodal Dynamical Variational Autoencoder for Audiovisual Speech Representation Learning
In this paper, we present a multimodal and dynamical VAE (MDVAE) applied...
research
∙
05/05/2023
A vector quantized masked autoencoder for audiovisual speech emotion recognition
While fully-supervised models have been shown to be effective for audiov...
research
∙
04/21/2023
A vector quantized masked autoencoder for speech emotion recognition
Recent years have seen remarkable progress in speech emotion recognition...
research
∙
03/30/2023
LatentForensics: Towards lighter deepfake detection in the StyleGAN latent space
The classification of forged videos has been a challenge for the past fe...
research
∙
04/14/2022
Learning and controlling the source-filter representation of speech with a variational autoencoder
Understanding and controlling latent representations in deep generative ...
research
∙
07/07/2021
Learning Vision Transformer with Squeeze and Excitation for Facial Expression Recognition
As various databases of facial expressions have been made accessible ove...
research
∙
10/08/2020
Dataset Augmentation and Dimensionality Reduction of Pinna-Related Transfer Functions
Efficient modeling of the inter-individual variations of head-related tr...
research
∙
03/13/2020
HRTF Individualization: A Survey
The individuality of head-related transfer functions (HRTFs) is a key is...
research
∙
03/13/2020
A Wide Dataset of Ear Shapes and Pinna-Related Transfer Functions Generated by Random Ear Drawings
Head-related transfer functions (HRTFs) individualization is a key matte...
research
∙
01/08/2020