6 papers
A Closed-Form Solution for Debiasing Vision-Language Models with Utility Guarantees Across Modalities and Tasks
Tangzheng Lian, Guanyu Hu, Yijing Ren +2
While Vision-Language Models (VLMs) have achieved remarkable performance across diverse downstream tasks, recent studies have shown that they can inherit social biases from the tra…
FairMT: Fairness for Heterogeneous Multi-Task Learning
Guanyu Hu, Tangzheng Lian, Na Yan +5
Fairness in machine learning has been extensively studied in single-task settings, while fair multi-task learning (MTL), especially with heterogeneous tasks (classification, detect…
CausalAffect: Causal Discovery for Facial Affective Understanding
Guanyu Hu, Tangzheng Lian, Dimitrios Kollias +2
Understanding human affect from facial behavior requires not only accurate recognition but also structured reasoning over the latent dependencies that drive muscle activations and…
Grounding Emotion Recognition with Visual Prototypes: VEGA -- Revisiting CLIP in MERC
Guanyu Hu, Dimitrios Kollias, Xinyu Yang
Multimodal Emotion Recognition in Conversations remains a challenging task due to the complex interplay of textual, acoustic and visual signals. While recent models have improved p…
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…
Behaviour4All: in-the-wild Facial Behaviour Analysis Toolkit
Dimitrios Kollias, Chunchang Shao, Odysseus Kaloidas +1
In this paper, we introduce Behavior4All, a comprehensive, open-source toolkit for in-the-wild facial behavior analysis, integrating Face Localization, Valence-Arousal Estimation,…