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

Abdul Hannan, Furqan Malik, Hina Jabbar, Syed Suleman Sadiq, Mubashir Noman
12/2/2025
cs.CV

No confident code implementation found for this paper. 1 possible match can be shown below.

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.

View on arXivView PDF

Code Implementations

No confident code match yet

We couldn't find an author-owned or strongly-evidenced community implementation for this paper. 1 weaker match is hidden by default — verify before relying on them.

No code implementations found yet.

Know of an implementation? Let us know in the comments below!

Similar Papers

Face-voice Association in Multilingual Environments (FAME) Challenge 2024 Evaluation Plan

91% match1 repo112024

Linking Faces and Voices Across Languages: Insights from the FAME 2026 Challenge

89% match2025

Contrastive Learning-based Chaining-Cluster for Multilingual Voice-Face Association

85% match1 repo32024

Shared Multi-modal Embedding Space for Face-Voice Association

85% match2025

Exploring Robust Face-Voice Matching in Multilingual Environments

84% match2024

XM-ALIGN: Unified Cross-Modal Embedding Alignment for Face-Voice Association

81% match1 repo72025

Cite this paper

@article{hannan2025rfop,
  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},
  year   = {2025},
  eprint = {2512.02860},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2512.02860v1}
}

Add a badge to your README

Shows whether official code is linked for this paper.

Code of Paper badge
[![Code of Paper](https://codeofpaper.com/badge/2512.02860.svg)](https://codeofpaper.com/paper/2512.02860)

Discussion