Author

Michel Olvera

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Preprint Sep 2026

Probing Large Audio-Language Models for Compositional Understanding of Sounding Actions

Large audio-language models (LALMs) excel at understanding and reasoning tasks over atomic sound events, yet their ability to infer higher-level human activities from such fine-grained events remains largely unexamined. Everyday human actions and activities, such as setting a table, cleaning the house, or preparing a b...

Michel Olvera, Paraskevas Stamatiadis, Chang-Hong Wang et al. · 0 citations

#machine learning Dec 2024

TACO: Training-free Sound Prompted Segmentation via Semantically Constrained Audio-visual CO-factorization

This work introduces a training-free approach that leverages Non-negative Matrix Factorization (NMF) to co-factorize audio and visual features from pre-trained models so as to reveal shared interpretable concepts and establishes state-of-the-art performance in unsupervised sound-prompted segmentation.

Hugo Malard, Michel Olvera, Stéphane Lathuilière et al. · Trans. Mach. Learn. Res. · 1 citation