488 citations · 1.6k across the 81 of their papers we have counts for
10 papers · 1 filter
Context-Aware Personality Inference in Dyadic Scenarios: Introducing the UDIVA Dataset
Cristina Palmero, Javier Selva, Sorina Smeureanu +8
This paper introduces UDIVA, a new non-acted dataset of face-to-face dyadic interactions, where interlocutors perform competitive and collaborative tasks with different behavior el…
PBNS: Physically Based Neural Simulator for Unsupervised Garment Pose Space Deformation
Hugo Bertiche, Meysam Madadi, Sergio Escalera
We present a methodology to automatically obtain Pose Space Deformation (PSD) basis for rigged garments through deep learning. Classical approaches rely on Physically Based Simulat…
Person Perception Biases Exposed: Revisiting the First Impressions Dataset
Julio C. S. Jacques Junior, Agata Lapedriza, Cristina Palmero +2
This work revisits the ChaLearn First Impressions database, annotated for personality perception using pairwise comparisons via crowdsourcing. We analyse for the first time the ori…
FairFace Challenge at ECCV 2020: Analyzing Bias in Face Recognition
Tomáš Sixta, Julio C. S. Jacques Junior, Pau Buch-Cardona +3
This work summarizes the 2020 ChaLearn Looking at People Fair Face Recognition and Analysis Challenge and provides a description of the top-winning solutions and analysis of the re…
DeePSD: Automatic Deep Skinning And Pose Space Deformation For 3D Garment Animation
Hugo Bertiche, Meysam Madadi, Emilio Tylson +1
We present a novel solution to the garment animation problem through deep learning. Our contribution allows animating any template outfit with arbitrary topology and geometric comp…
FBK-HUPBA Submission to the EPIC-Kitchens Action Recognition 2020 Challenge
Swathikiran Sudhakaran, Sergio Escalera, Oswald Lanz
In this report we describe the technical details of our submission to the EPIC-Kitchens Action Recognition 2020 Challenge. To participate in the challenge we deployed spatio-tempor…
Computing the Testing Error without a Testing Set
Ciprian Corneanu, Meysam Madadi, Sergio Escalera +1
Deep Neural Networks (DNNs) have revolutionized computer vision. We now have DNNs that achieve top (performance) results in many problems, including object recognition, facial expr…
Cross-ethnicity Face Anti-spoofing Recognition Challenge: A Review
Ajian Liu, Xuan Li, Jun Wan +12
Face anti-spoofing is critical to prevent face recognition systems from a security breach. The biometrics community has %possessed achieved impressive progress recently due the exc…
CASIA-SURF CeFA: A Benchmark for Multi-modal Cross-ethnicity Face Anti-spoofing
Ajian Li, Zichang Tan, Xuan Li +4
Ethnic bias has proven to negatively affect the performance of face recognition systems, and it remains an open research problem in face anti-spoofing. In order to study the ethnic…
Multi-level Context Gating of Embedded Collective Knowledge for Medical Image Segmentation
Maryam Asadi-Aghbolaghi, Reza Azad, Mahmood Fathy +1
Medical image segmentation has been very challenging due to the large variation of anatomy across different cases. Recent advances in deep learning frameworks have exhibited faster…