The present Research Topic shows that the intersection of computer vision and human behavior opens promising possibilities for emotion recognition, with applications that can profoundly impact various fields.

Dec 18, 2021 · Emotion understanding from an image is an important computer vision research topic, but the reasoning behind the justification has been largely unexplored. We propose to utilize language, and more specifically, explanation of the judgement to …

In this paper, we conduct a systematic review of facial and pose emotion recognition using DL and computer vision, analyzing and evaluating 77 papers from different sources under Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines.

Jul 16, 2023 · In this work, we introduce EmoSet, the first large-scale visual emotion dataset annotated with rich attributes, which is superior to existing datasets in four aspects: scale, annotation richness, diversity, and data balance.

Nov 28, 2022 · Abstract: Image emotion classification is an important computer vision task to extract emotions from images. The methods for image emotion classification (IEC) are primarily based on label or distribution as a supervision signal, which neither has enough accessibility nor diversity, limiting the development of IEC research.

Understanding the emotion from visual content is an impor-tant and attractive interdisciplinary research area that is influ-enced by research in computer vision, psychology, and nat-ural language processing.

We present a scalable approach for learning powerful visual features for emotion recognition. A critical bot-tleneck in emotion recognition is the lack of large scale datasets that can be used for learning visual emotion fea-tures. To this end, we curated a webly derived large scale dataset, StockEmotion, which has more than a million im-ages.

Jun 19, 2024 · The research aims to find Computer Vision solutions suitable for recognising and managing emotions. Authors can make available their latest research contributions in the multidisciplinary field of engineering, neuroscience and behavioural psychology applied to the field of computer vision.

5 days ago · In this paper, we introduce AffectVLM, a vision-language model designed to integrate multiviews for a semantically rich and visually comprehensive understanding of facial emotions from 3D/4D data. To effectively capture visual features, we propose a joint representation learning framework paired with a novel gradient-friendly loss function that accelerates model convergence towards optimal ...

Jan 31, 2025 · In this paper, we examine two major approaches enabled by recent large vision language models: 1) image captioning followed by a language-only LLM, and 2) vision language models, under zero-shot and fine-tuned setups.