François Germain — accepted AI-conference papers

2026

SUNAC: Source-aware Unified Neural Audio Codec

Ryo Aihara, Yoshiki Masuyama, Francesco Paissan, François Germain

ICASSP 2026oral

Neural audio codecs (NACs) provide compact representations that can be leveraged in many downstream applications, in particular large language models. Yet most NACs encode mixtures of multiple sources in an entangled manner, which may impede efficient downstream processing in applications that need…

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2025

UWAV: Uncertainty-weighted Weakly-supervised Audio-Visual Video Parsing

Yung-Hsuan Lai, Janek Ebbers, Yu-Chiang Frank Wang, François Germain, Michael Jeffrey Jones, Moitreya Chatterjee

CVPR 2025poster

Audio-Visual Video Parsing (AVVP) entails the challenging task of localizing both uni-modal events (i.e., those occurring exclusively in either the visual or acoustic modality of a video) and multi-modal events (i.e., those occurring in both modalities concurrently). Moreover, the prohibitive cost o…

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