activity
20242026
most citedComparative Analysis of Modality Fusion Approaches for Audio-Visual Person Identification and Verification

2 citations · 2 across the 6 of their papers we have counts for

collaborators

9 papers

eess.AS2026

TidyVoice 2026 Challenge Evaluation Plan

Aref Farhadipour, Jan Marquenie, Srikanth Madikeri +6

The performance of speaker verification systems degrades significantly under language mismatch, a critical challenge exacerbated by the field's reliance on English-centric data. To…

cs.CV2026

Adaptive Multimodal Person Recognition: A Robust Framework for Handling Missing Modalities

Aref Farhadipour, Teodora Vukovic, Volker Dellwo +2

Person identification systems often rely on audio, visual, or behavioral cues, but real-world conditions frequently present with missing or degraded modalities. To address this cha…

eess.AS2025

Towards Language-Independent Face-Voice Association with Multimodal Foundation Models

Aref Farhadipour, Teodora Vukovic, Volker Dellwo

This paper describes the UZH-CL system submitted to the FAME2026 Challenge. The challenge focuses on cross-modal verification under unique multilingual conditions, specifically uns…

cs.CV2025

Investigating Identity Signals in Conversational Facial Dynamics via Disentangled Expression Features

Masoumeh Chapariniya, Pierre Vuillecard, Jean-Marc Odobez +2

This work investigates whether individuals can be identified solely through the pure dynamical components of their facial expressions, independent of static facial appearance. We l…

eess.AS2025

CL-UZH submission to the NIST SRE 2024 Speaker Recognition Evaluation

Aref Farhadipour, Shiran Liu, Masoumeh Chapariniya +4

The CL-UZH team submitted one system each for the fixed and open conditions of the NIST SRE 2024 challenge. For the closed-set condition, results for the audio-only trials were ach…

cs.CV2025

Beyond Appearance: Transformer-based Person Identification from Conversational Dynamics

Masoumeh Chapariniya, Teodora Vukovic, Sarah Ebling +1

This paper investigates the performance of transformer-based architectures for person identification in natural, face-to-face conversation scenario. We implement and evaluate a two…