9 papers
Rethinking Online Action Detection in Untrimmed Videos: A Novel Online Evaluation Protocol
Marcos Baptista Rios, Roberto J. López-Sastre, Fabian Caba Heilbron +3
The Online Action Detection (OAD) problem needs to be revisited. Unlike traditional offline action detection approaches, where the evaluation metrics are clear and well established…
The Instantaneous Accuracy: a Novel Metric for the Problem of Online Human Behaviour Recognition in Untrimmed Videos
Marcos Baptista Rios, Roberto J. López-Sastre, Fabian Caba Heilbron +3
The problem of Online Human Behaviour Recognition in untrimmed videos, aka Online Action Detection (OAD), needs to be revisited. Unlike traditional offline action detection approac…
Deep Anomaly Detection for Generalized Face Anti-Spoofing
Daniel Pérez-Cabo, David Jiménez-Cabello, Artur Costa-Pazo +1
Face recognition has achieved unprecedented results, surpassing human capabilities in certain scenarios. However, these automatic solutions are not ready for production because the…
Generalized Presentation Attack Detection: a face anti-spoofing evaluation proposal
Artur Costa-Pazo, David Jimenez-Cabello, Esteban Vazquez-Fernandez +2
Over the past few years, Presentation Attack Detection (PAD) has become a fundamental part of facial recognition systems. Although much effort has been devoted to anti-spoofing res…
Embarrassingly Simple Model for Early Action Proposal
Marcos Baptista-Ríos, Roberto J. López-Sastre, Franciso Javier Acevedo-Rodríguez +1
Early action proposal consists in generating high quality candidate temporal segments that are likely to contain an action in a video stream, as soon as they happen. Many sophistic…
ISA: Intelligent Speed Adaptation from Appearance
Carlos Herranz-Perdiguero, Roberto J. López-Sastre
In this work we introduce a new problem named Intelligent Speed Adaptation from Appearance (ISA). Technically, the goal of an ISA model is to predict for a given image of a…