10 citations · 11 across the 3 of their papers we have counts for
8 papers
Efficient Remote Photoplethysmography with Temporal Derivative Modules and Time-Shift Invariant Loss
Joaquim Comas, Adria Ruiz, Federico Sukno
We present a lightweight neural model for remote heart rate estimation focused on the efficient spatio-temporal learning of facial photoplethysmography (PPG) based on i) modelling…
BabyNet: Reconstructing 3D faces of babies from uncalibrated photographs
Araceli Morales, Antonio R. Porras, Marius George Linguraru +2
We present a 3D face reconstruction system that aims at recovering the 3D facial geometry of babies from uncalibrated photographs, BabyNet. Since the 3D facial geometry of babies d…
Machine Learning-based Lie Detector applied to a Novel Annotated Game Dataset
Nuria Rodriguez-Diaz, Decky Aspandi, Federico Sukno +1
Lie detection is considered a concern for everyone in their day to day life given its impact on human interactions. Thus, people normally pay attention to both what their interlocu…
An Enhanced Adversarial Network with Combined Latent Features for Spatio-Temporal Facial Affect Estimation in the Wild
Decky Aspandi, Federico Sukno, Björn Schuller +1
Affective Computing has recently attracted the attention of the research community, due to its numerous applications in diverse areas. In this context, the emergence of video-based…
Survey on 3D face reconstruction from uncalibrated images
Araceli Morales, Gemma Piella, Federico M. Sukno
Recently, a lot of attention has been focused on the incorporation of 3D data into face analysis and its applications. Despite providing a more accurate representation of the face,…
Local Shape Spectrum Analysis for 3D Facial Expression Recognition
Dmytro Derkach, Federico M. Sukno
We investigate the problem of facial expression recognition using 3D data. Building from one of the most successful frameworks for facial analysis using exclusively 3D geometry, we…
Automatic Viseme Vocabulary Construction to Enhance Continuous Lip-reading
Adriana Fernandez-Lopez, Federico M. Sukno
Speech is the most common communication method between humans and involves the perception of both auditory and visual channels. Automatic speech recognition focuses on interpreting…
Towards Estimating the Upper Bound of Visual-Speech Recognition: The Visual Lip-Reading Feasibility Database
Adriana Fernandez-Lopez, Oriol Martinez, Federico M. Sukno
Speech is the most used communication method between humans and it involves the perception of auditory and visual channels. Automatic speech recognition focuses on interpreting the…