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  1. Oct 28, 2024The Multimodal Sentiment Analysis Challenge presents two distinct sub-challenges related to human perception characteristics. This paper focuses on the MUSE-PERCEPTION challenge, which aims to predict the perceptual attributes of CEOs from video data.
  2. The Multimodal Sentiment Analysis Challenge presents two distinct sub-challenges related to human perception characteristics. ... LLM-Driven Multimodal fusion for human perception analysis. En: "MuSe'24", 28/10/2024-01/11/2024, Melbourne, Australia. ... LLM-Driven Multimodal fusion for human perception analysis: Autor/es: Esteban Romero, Sergio ...
  3. semanticscholar.org

    Oct 28, 2024DOI: 10.1145/3689062.3689084 Corpus ID: 273550447; LLM-Driven Multimodal Fusion for Human Perception Analysis @inproceedings{Romero2024LLMDrivenMF, title={LLM-Driven Multimodal Fusion for Human Perception Analysis}, author={Sergio Esteban Romero and Iv{\'a}n Mart{\'i}n-Fern{\'a}ndez and Manuel Gil-Mart{\'i}n and David Griol Barres and Zoraida Callejas Carri{\'o}n and Fernando Fern{\'a}ndez ...
  4. portalcientifico.upm.es

    Publicaciones > Proceedings Paper LLM-Driven Multimodal Fusion for Human Perception Analysis Publicated to:Proceedings Of The 5th On Multimodal Sentiment Analysis Challenge And Workshop: Social Perception And Humor.45-51 - 2024-10-24 (), doi: 10.1145/3689062.3689084 Authors: Esteban-Romero, Sergio; Martín-Fernández, Iván; Gil-Martín, Manuel; Griol-Barres, David; Callejas-Carrión, Zoraida ...
  5. sciencedirect.com

    Multi-modal fusion technology has been applied in many fields, including autonomous driving, smart healthcare, sentiment analysis, data security, human-computer interaction, and other applic-ations [3, 4].For example, automatic driving vehicles are usually equipped with a set of sensors, such as cameras and Light Detection and Ranging (LiDAR), to alleviate the perception difficulties of the ...
  6. Oct 31, 2023In this paper, an implementation scheme of an intelligent digital human generation system with multimodal fusion is proposed. Specifically, text, speech and image are taken as inputs, and interactive speech is synthesized using large language model (LLM), voiceprint extraction, and text-to-speech conversion techniques.
  7. sciencedirect.com

    To facilitate human motion perception in HRC systems, this work introduces a novel visual-inertial fusion method for HPE utilizing a sparse multimodal sensor setup. It achieves accurate and robust human motion perception while reducing intrusiveness for operators in the complex HRC scenarios, in which occlusions occur frequently.
  8. Oct 28, 2024Results on the development set show a consistent trend that multimodal fusion outperforms unimodal systems. The performance-weighted fusion also consistently outperforms mean and maximum fusions. We found two important factors that influence the performance of performance-weighted fusion. These factors are normalization and the number of models.
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