ICASSP 2026poster0 citations
RFOP: Rethinking Fusion and Orthogonal Projection for Face-Voice Association
Abdul Hannan, Furqan Malik, Hina Jabbar, Syed Suleman Sadiq, Mubashir Noman
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.
BibTeX
@inproceedings{icassp2026_rfoprethinkingfu,
title = {RFOP: Rethinking Fusion and Orthogonal Projection for Face-Voice Association},
author = {Abdul Hannan and Furqan Malik and Hina Jabbar and Syed Suleman Sadiq and Mubashir Noman},
booktitle = {ICASSP 2026},
year = {2026}
}