Analysing affective behavior in the first abaw 2020 competition
D Kollias, A Schulc, E Hajiyev… - 2020 15th IEEE …, 2020 - ieeexplore.ieee.org
The Affective Behavior Analysis in-the-wild (ABAW) 2020 Competition is the first Competition
aiming at automatic analysis of the three main behavior tasks of valence-arousal estimation …
aiming at automatic analysis of the three main behavior tasks of valence-arousal estimation …
Deep transparent prediction through latent representation analysis
D Kollias, N Bouas, Y Vlaxos, V Brillakis… - arXiv preprint arXiv …, 2020 - arxiv.org
The paper presents a novel deep learning approach, which extracts latent information from
trained Deep Neural Networks (DNNs) and derives concise representations that are …
trained Deep Neural Networks (DNNs) and derives concise representations that are …
Transparent adaptation in deep medical image diagnosis
The paper presents a novel deep learning approach, which extracts latent information from
trained Deep Neural Networks (DNNs) and derives concise representations that are …
trained Deep Neural Networks (DNNs) and derives concise representations that are …
Aff-wild2: Extending the aff-wild database for affect recognition
D Kollias, S Zafeiriou - arXiv preprint arXiv:1811.07770, 2018 - arxiv.org
Automatic understanding of human affect using visual signals is a problem that has attracted
significant interest over the past 20 years. However, human emotional states are quite …
significant interest over the past 20 years. However, human emotional states are quite …
A multi-task learning & generation framework: Valence-arousal, action units & primary expressions
D Kollias, S Zafeiriou - arXiv preprint arXiv:1811.07771, 2018 - arxiv.org
Over the past few years many research efforts have been devoted to the field of affect
analysis. Various approaches have been proposed for: i) discrete emotion recognition in …
analysis. Various approaches have been proposed for: i) discrete emotion recognition in …
Unsupervised video-shot segmentation and model-free anchorperson detection for news video story parsing
News story parsing is an important and challenging task in a news video library system. We
address two important components in a news video story parsing system: shot boundary …
address two important components in a news video story parsing system: shot boundary …
A spatial-temporal approach for video caption detection and recognition
We present a video caption detection and recognition system based on a fuzzy-clustering
neural network (FCNN) classifier. Using a novel caption-transition detection scheme we …
neural network (FCNN) classifier. Using a novel caption-transition detection scheme we …
Topic segmentation
M Purver - … : systems for extracting semantic information from …, 2011 - Wiley Online Library
This chapter discusses the task of topic segmentation: automatically dividing single long
recordings or transcripts into shorter, topically coherent segments. First, it looks at the task …
recordings or transcripts into shorter, topically coherent segments. First, it looks at the task …
An autoencoder wavelet based deep neural network with attention mechanism for multi-step prediction of plant growth
Multi-step-ahead prediction is considered of major significance for time series analysis in
many real life problems. Existing methods mainly focus on one-step-ahead forecasting …
many real life problems. Existing methods mainly focus on one-step-ahead forecasting …
A multi-component CNN-RNN approach for dimensional emotion recognition in-the-wild
D Kollias, S Zafeiriou - arXiv preprint arXiv:1805.01452, 2018 - arxiv.org
This paper presents our approach to the One-Minute Gradual-Emotion Recognition (OMG-
Emotion) Challenge, focusing on dimensional emotion recognition through visual analysis of …
Emotion) Challenge, focusing on dimensional emotion recognition through visual analysis of …