755 citations · 1.4k across the 24 of their papers we have counts for
8 papers · 1 filter
From Affect to Complex Behavior: Advancing Multimodal Human-Centered AI at the 10th ABAW Workshop & Competition
Dimitrios Kollias, Panagiotis Tzirakis, Alan Cowen +10
The 10th Affective & Behavior Analysis in-the-Wild (ABAW) Workshop and Competition, held at CVPR 2026, continues to advance research on modelling, analysis, understanding of human…
The 6th Affective Behavior Analysis in-the-wild (ABAW) Competition
Dimitrios Kollias, Panagiotis Tzirakis, Alan Cowen +6
This paper describes the 6th Affective Behavior Analysis in-the-wild (ABAW) Competition, which is part of the respective Workshop held in conjunction with IEEE CVPR 2024. The 6th A…
ABAW: Valence-Arousal Estimation, Expression Recognition, Action Unit Detection & Emotional Reaction Intensity Estimation Challenges
Dimitrios Kollias, Panagiotis Tzirakis, Alice Baird +2
The fifth Affective Behavior Analysis in-the-wild (ABAW) Competition is part of the respective ABAW Workshop which will be held in conjunction with IEEE Computer Vision and Pattern…
Facial Emotion Recognition using Deep Residual Networks in Real-World Environments
Panagiotis Tzirakis, Dénes Boros, Elnar Hajiyev +1
Automatic affect recognition using visual cues is an important task towards a complete interaction between humans and machines. Applications can be found in tutoring systems and hu…
Synthesising 3D Facial Motion from "In-the-Wild" Speech
Panagiotis Tzirakis, Athanasios Papaioannou, Alexander Lattas +3
Synthesising 3D facial motion from speech is a crucial problem manifesting in a multitude of applications such as computer games and movies. Recently proposed methods tackle this p…
Deep Affect Prediction in-the-wild: Aff-Wild Database and Challenge, Deep Architectures, and Beyond
Dimitrios Kollias, Panagiotis Tzirakis, Mihalis A. Nicolaou +5
Automatic understanding of human affect using visual signals is of great importance in everyday human-machine interactions. Appraising human emotional states, behaviors and reactio…
End2You -- The Imperial Toolkit for Multimodal Profiling by End-to-End Learning
Panagiotis Tzirakis, Stefanos Zafeiriou, Bjorn W. Schuller
We introduce End2You -- the Imperial College London toolkit for multimodal profiling by end-to-end deep learning. End2You is an open-source toolkit implemented in Python and is bas…
End-to-End Multimodal Emotion Recognition using Deep Neural Networks
Panagiotis Tzirakis, George Trigeorgis, Mihalis A. Nicolaou +2
Automatic affect recognition is a challenging task due to the various modalities emotions can be expressed with. Applications can be found in many domains including multimedia retr…