244 citations · 1.5k across the 70 of their papers we have counts for
9 papers · 1 filter
4DFAB: A Large Scale 4D Facial Expression Database for Biometric Applications
Shiyang Cheng, Irene Kotsia, Maja Pantic +1
The progress we are currently witnessing in many computer vision applications, including automatic face analysis, would not be made possible without tremendous efforts in collectin…
GAGAN: Geometry-Aware Generative Adversarial Networks
Jean Kossaifi, Linh Tran, Yannis Panagakis +1
Deep generative models learned through adversarial training have become increasingly popular for their ability to generate naturalistic image textures. However, aside from their te…
End-to-End Audiovisual Fusion with LSTMs
Stavros Petridis, Yujiang Wang, Zuwei Li +1
Several end-to-end deep learning approaches have been recently presented which simultaneously extract visual features from the input images and perform visual speech classification…
End-to-End Multi-View Lipreading
Stavros Petridis, Yujiang Wang, Zuwei Li +1
Non-frontal lip views contain useful information which can be used to enhance the performance of frontal view lipreading. However, the vast majority of recent lipreading works, inc…
Deep Structured Learning for Facial Action Unit Intensity Estimation
Robert Walecki, Ognjen, Rudovic +3
We consider the task of automated estimation of facial expression intensity. This involves estimation of multiple output variables (facial action units --- AUs) that are structural…
DeepCoder: Semi-parametric Variational Autoencoders for Automatic Facial Action Coding
Dieu Linh Tran, Robert Walecki, Ognjen Rudovic +3
Human face exhibits an inherent hierarchy in its representations (i.e., holistic facial expressions can be encoded via a set of facial action units (AUs) and their intensity). Vari…