most citedExpression-preserving face frontalization improves visually assisted speech processing

6 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions

4 papers

cs.SD2022

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…

cs.CV2022

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…

cs.CV2022★ 6 cited

Expression-preserving face frontalization improves visually assisted speech processing

Zhiqi Kang, Mostafa Sadeghi, Radu Horaud +1

Face frontalization consists of synthesizing a frontally-viewed face from an arbitrarily-viewed one. The main contribution of this paper is a frontalization methodology that preser…

cs.CV2021

Variational Structured Attention Networks for Deep Visual Representation Learning

Guanglei Yang, Paolo Rota, Xavier Alameda-Pineda +3

Convolutional neural networks have enabled major progresses in addressing pixel-level prediction tasks such as semantic segmentation, depth estimation, surface normal prediction an…