University of Twente Student Theses
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Exploring Emotion Recognition from Images through Vision-Language Models : A Case Study on LLaVA
Toader, Cristina-Maria (2025) Exploring Emotion Recognition from Images through Vision-Language Models : A Case Study on LLaVA.
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| Abstract: | With the rapid advancement of artificial intelligence and the increasing frequency of human-AI interaction, the ability of AI systems to recognize human emotions has become an important area of research. Despite extensive research conducted on the topic, achieving a human-level understanding of the emotion present in an image is still an open problem, particularly in real-world scenarios involving complex social and contextual cues. Recent developments in vision-language models (VLMs) have introduced new opportunities by combining visual perception with linguistic reasoning, mimicking the way humans perceive and interpret emotions across diverse situations. These models have demonstrated promising results, in some cases outperforming traditional emotion recognition approaches. |
| Item Type: | Essay (Bachelor) |
| Faculty: | EEMCS: Electrical Engineering, Mathematics and Computer Science |
| Subject: | 54 computer science |
| Programme: | Computer Science BSc (56964) |
| Link to this item: | https://purl.utwente.nl/essays/107335 |
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