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arXiv · 2512.02860

RFOP: Rethinking Fusion and Orthogonal Projection for Face-Voice Association

Abdul Hannan·Furqan Malik·Hina Jabbar·Syed Suleman Sadiq·Mubashir Noman
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Abstract

Face-voice association in multilingual environment challenge 2026 aims to investigate the face-voice association task in multilingual scenario. The challenge introduces English-German face-voice pairs to be utilized in the evaluation phase. To this end, we revisit the fusion and orthogonal projection for face-voice association by effectively focusing on the relevant semantic information within the two modalities. Our method performs favorably on the English-German data split and ranked 3rd in the FAME 2026 challenge by achieving the EER of 33.1.

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Abdul Hannan, Furqan Malik, Hina Jabbar, Syed Suleman Sadiq, Mubashir Noman. 2025-12-02. RFOP: Rethinking Fusion and Orthogonal Projection for Face-Voice Association. https://arxiv.org/abs/2512.02860

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