activity
20212026
most citedLiRA: Learning Visual Speech Representations from Audio through Self-supervision

1 citations · 1 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CV2026

Pay Attention to CTC: Fast and Robust Pseudo-Labelling for Unified Speech Recognition

Alexandros Haliassos, Rodrigo Mira, Stavros Petridis

Unified Speech Recognition (USR) has emerged as a semi-supervised framework for training a single model for audio, visual, and audiovisual speech recognition, achieving state-of-th…

cs.CV2025

Lookahead Anchoring: Preserving Character Identity in Audio-Driven Human Animation

Junyoung Seo, Rodrigo Mira, Alexandros Haliassos +6

Audio-driven human animation models often suffer from identity drift during temporal autoregressive generation, where characters gradually lose their identity over time. One soluti…

cs.CV2025

KeySync: A Robust Approach for Leakage-free Lip Synchronization in High Resolution

Antoni Bigata, Rodrigo Mira, Stella Bounareli +4

Lip synchronization, known as the task of aligning lip movements in an existing video with new input audio, is typically framed as a simpler variant of audio-driven facial animatio…

cs.CV2025

KeyFace: Expressive Audio-Driven Facial Animation for Long Sequences via KeyFrame Interpolation

Antoni Bigata, Michał Stypułkowski, Rodrigo Mira +7

Current audio-driven facial animation methods achieve impressive results for short videos but suffer from error accumulation and identity drift when extended to longer durations. E…

cs.SD2025

Contextual Speech Extraction: Leveraging Textual History as an Implicit Cue for Target Speech Extraction

Minsu Kim, Rodrigo Mira, Honglie Chen +2

In this paper, we investigate a novel approach for Target Speech Extraction (TSE), which relies solely on textual context to extract the target speech. We refer to this task as Con…

cs.CV2024

Unified Speech Recognition: A Single Model for Auditory, Visual, and Audiovisual Inputs

Alexandros Haliassos, Rodrigo Mira, Honglie Chen +3

Research in auditory, visual, and audiovisual speech recognition (ASR, VSR, and AVSR, respectively) has traditionally been conducted independently. Even recent self-supervised stud…