Mar 7, 2024 · Abstract:Person or identity verification has been recently gaining a lot of attention using audio-visual fusion as faces and voices share ...

In our analysis, we show that our approach outperforms state-of-the-art fusion approaches on well-established benchmarks for multimodal person verification.

Mar 7, 2024 · In this paper, we propose a Dynamic Cross-Attention (DCA) model that can dynamically select the cross-attended or unattended features on the fly ...

In this paper, we present a multi-modal online person verification system using both speech and visual signals. Inspired by neurosci- entific findings on the ...

Although person verification is predominantly explored using voice and faces independently, audio-visual fusion has recently gained a lot of attention as ...

In this article, to fully explore the multi-modal learning strategies for person verification, we proposed three types of audio-visual deep neural network (AVN) ...

Abstract—Although person or identity verification has been predominantly explored using individual modalities such as face and voice, audio-visual fusion ...

Nov 4, 2024 · Person or identity verification has been recently gaining a lot of attention using audio-visual fusion as faces and voices share close ...

In this work, we present Recursive fusion of Joint Cross-Attention across audio and visual modalities for person verification. References.

Dec 15, 2023 · ... identity. In this paper, we focus on how to improve multimodal person verification systems and how to combine audio and visual features. In ...