activity
20232026
most citedMMA-MRNNet: Harnessing Multiple Models of Affect and Dynamic Masked RNN for Precise Facial Expression Intensity Estimation

9 citations · 10 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2026

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…

cs.LG2025

Fair Domain Generalization: An Information-Theoretic View

Tangzheng Lian, Guanyu Hu, Dimitrios Kollias +2

Domain generalization (DG) and algorithmic fairness are two critical challenges in machine learning. However, most DG methods focus only on minimizing expected risk in the unseen t…

cs.CV2024

7th ABAW Competition: Multi-Task Learning and Compound Expression Recognition

Dimitrios Kollias, Stefanos Zafeiriou, Irene Kotsia +4

This paper describes the 7th Affective Behavior Analysis in-the-wild (ABAW) Competition, which is part of the respective Workshop held in conjunction with ECCV 2024. The 7th ABAW C…

cs.CV2024★ 1 cited

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…

cs.CV2023★ 9 cited

MMA-MRNNet: Harnessing Multiple Models of Affect and Dynamic Masked RNN for Precise Facial Expression Intensity Estimation

Dimitrios Kollias, Andreas Psaroudakis, Anastasios Arsenos +4

This paper presents MMA-MRNNet, a novel deep learning architecture for dynamic multi-output Facial Expression Intensity Estimation (FEIE) from video data. Traditional approaches to…