Dimitrios Kollias | DeepAI

DeepAI AI Chat

Featured Co-authors

Stefanos Zafeiriou
94 publications
Maja Pantic
82 publications
Guoying Zhao
68 publications
Björn Schuller
58 publications
Alice Baird
21 publications
Panagiotis Tzirakis
20 publications
Viktoriia Sharmanska
17 publications
Stefanos Kollias
16 publications
Mihalis A. Nicolaou
13 publications
Shiyang Cheng
12 publications
Irene Kotsia
8 publications

∙ 03/02/2023

ABAW: Valence-Arousal Estimation, Expression Recognition, Action Unit Detection Emotional Reaction Intensity Estimation Challenges

The fifth Affective Behavior Analysis in-the-wild (ABAW) Competition is ...

2 Dimitrios Kollias, et al. ∙

∙ 03/01/2023

FaceRNET: a Facial Expression Intensity Estimation Network

This paper presents our approach for Facial Expression Intensity Estimat...

0 Dimitrios Kollias, et al. ∙

∙ 03/01/2023

A Deep Neural Architecture for Harmonizing 3-D Input Data Analysis and Decision Making in Medical Imaging

Harmonizing the analysis of data, especially of 3-D image volumes, consi...

0 Dimitrios Kollias, et al. ∙

∙ 07/03/2022

ABAW: Learning from Synthetic Data Multi-Task Learning Challenges

This paper describes the fourth Affective Behavior Analysis in-the-wild ...

0 Dimitrios Kollias, et al. ∙

∙ 06/09/2022

AI-MIA: COVID-19 Detection Severity Analysis through Medical Imaging

This paper presents the baseline approach for the organized 2nd Covid-19...

0 Dimitrios Kollias, et al. ∙

∙ 05/09/2022

MixAugment Mixup: Augmentation Methods for Facial Expression Recognition

Automatic Facial Expression Recognition (FER) has attracted increasing a...

0 Andreas Psaroudakis, et al. ∙

∙ 02/22/2022

ABAW: Valence-Arousal Estimation, Expression Recognition, Action Unit Detection Multi-Task Learning Challenges

This paper describes the third Affective Behavior Analysis in-the-wild (...

0 Dimitrios Kollias, et al. ∙

∙ 06/14/2021

MIA-COV19D: COVID-19 Detection through 3-D Chest CT Image Analysis

Early and reliable COVID-19 diagnosis based on chest 3-D CT scans can as...

0 Dimitrios Kollias, et al. ∙

∙ 05/08/2021

Distribution Matching for Heterogeneous Multi-Task Learning: a Large-scale Face Study

Multi-Task Learning has emerged as a methodology in which multiple tasks...

0 Dimitrios Kollias, et al. ∙

∙ 03/29/2021

Affect Analysis in-the-wild: Valence-Arousal, Expressions, Action Units and a Unified Framework

Affect recognition based on subjects' facial expressions has been a topi...

0 Dimitrios Kollias, et al. ∙

∙ 01/30/2020

Analysing Affective Behavior in the First ABAW 2020 Competition

The Affective Behavior Analysis in-the-wild (ABAW) 2020 Competition is t...

0 Dimitrios Kollias, et al. ∙

∙ 10/15/2019

Face Behavior à la carte: Expressions, Affect and Action Units in a Single Network

Automatic facial behavior analysis has a long history of studies in the ...

0 Dimitrios Kollias, et al. ∙

∙ 10/14/2019

Interpretable Deep Neural Networks for Facial Expression and Dimensional Emotion Recognition in-the-wild

In this project, we created a database with two types of annotations use...

32 Valentin Richer, et al. ∙

∙ 10/13/2019

Interpretable Deep Neural Networks for Dimensional and Categorical Emotion Recognition in-the-wild

Emotions play an important role in people's life. Understanding and reco...

55 Xia Yicheng, et al. ∙

∙ 10/13/2019

Image Generation and Recognition (Emotions)

Generative Adversarial Networks (GANs) were proposed in 2014 by Goodfell...

34 Hanne Carlsson, et al. ∙

∙ 10/11/2019

AffWild Net and Aff-Wild Database

Emotions recognition is the task of recognizing people's emotions. Usual...

34 Alvertos Benroumpi, et al. ∙

∙ 10/11/2019

Aff-Wild Database and AffWildNet

In the context of HCI, building an automatic system to recognize affect ...

9 Mengyao Liu, et al. ∙

∙ 10/03/2019

Exploiting multi-CNN features in CNN-RNN based Dimensional Emotion Recognition on the OMG in-the-wild Dataset

This paper presents a novel CNN-RNN based approach, which exploits multi...

13 Dimitrios Kollias, et al. ∙

∙ 09/25/2019

Expression, Affect, Action Unit Recognition: Aff-Wild2, Multi-Task Learning and ArcFace

Affective computing has been largely limited in terms of available data ...

0 Dimitrios Kollias, et al. ∙

∙ 11/12/2018

Generating faces for affect analysis

This paper presents a novel approach for synthesizing facial affect; eit...

8 Dimitrios Kollias, et al. ∙

∙ 11/11/2018

A Multi-Task Learning & Generation Framework: Valence-Arousal, Action Units & Primary Expressions

Over the past few years many research efforts have been devoted to the f...

0 Dimitrios Kollias, et al. ∙

∙ 11/11/2018

Aff-Wild2: Extending the Aff-Wild Database for Affect Recognition

Automatic understanding of human affect using visual signals is a proble...

0 Dimitrios Kollias, et al. ∙

∙ 11/11/2018

Photorealistic Facial Synthesis in the Dimensional Affect Space

This paper presents a novel approach for synthesizing facial affect, whi...

0 Dimitrios Kollias, et al. ∙

∙ 09/12/2018

Training Deep Neural Networks with Different Datasets In-the-wild: The Emotion Recognition Paradigm

A novel procedure is presented in this paper, for training a deep convol...

0 Dimitrios Kollias, et al. ∙

∙ 05/03/2018

A Multi-component CNN-RNN Approach for Dimensional Emotion Recognition in-the-wild

This paper presents our approach to the One-Minute Gradual-Emotion Recog...

0 Dimitrios Kollias, et al. ∙

∙ 04/29/2018

Deep Affect Prediction in-the-wild: Aff-Wild Database and Challenge, Deep Architectures, and Beyond

Automatic understanding of human affect using visual signals is of great...

0 Dimitrios Kollias, et al. ∙

Are you a researcher?
Expose your work
to one of the largest
A.I. communities in the world