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ORCIDIván Martín-Fernández
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2020 – today
- 2024
[c7]Iván Martín-Fernández, Sergio Esteban Romero
, Jaime Bellver-Soler, Fernando Fernández Martínez, Manuel Gil-Martín:
Larger Encoders, Smaller Regressors: Exploring Label Dimensionality Reduction and Multimodal Large Language Models as Feature Extractors for Predicting Social Perception. MuSe@ACM Multimedia 2024: 20-27- [c6]Sergio Esteban Romero, Iván Martín-Fernández, Manuel Gil-Martín, David Griol Barres, Zoraida Callejas Carrión, Fernando Fernández Martínez:
LLM-Driven Multimodal Fusion for Human Perception Analysis. MuSe@ACM Multimedia 2024: 45-51 - [c5]Jaime Bellver-Soler, Iván Martín-Fernández, Jose M. Bravo-Pacheco, Sergio Esteban Romero, Fernando Fernández Martínez, Luis Fernando D'Haro:
Multimodal Audio-Language Model for Speech Emotion Recognition. Odyssey 2024: 288-295 - [c4]Sergio Esteban Romero, Jaime Bellver-Soler, Iván Martín-Fernández, Manuel Gil-Martín, Luis Fernando D'Haro, Fernando Fernández Martínez:
THAU-UPM at EmoSPeech-IberLEF2024: Efficient Adaptation of Mono-modal and Multi-modal Large Language Models for Automatic Speech Emotion Recognition. IberLEF@SEPLN 2024 - 2023
- [c3]Iván Martín-Fernández, Ricardo Kleinlein, Cristina Luna Jiménez, Manuel Gil-Martín, Fernando Fernández Martínez:
Video Memorability Prediction From Jointly-learnt Semantic and Visual Features. CBMI 2023: 178-182 - [c2]Iván Martín-Fernández, Sergio Esteban Romero, Jaime Bellver-Soler, Manuel Gil-Martín, Fernando Fernández Martínez:
Exploring Video Transformers and Automatic Segment Selection for Memorability Prediction. MediaEval 2023 - [c1]Sergio Esteban Romero, Iván Martín-Fernández, Jaime Bellver-Soler, Manuel Gil-Martín, Fernando Fernández Martínez:
Multimodal and Multilingual Olfactory Matching based on Contrastive Learning. MediaEval 2023
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