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20212026
most citedEnd-to-End Video-To-Speech Synthesis using Generative Adversarial Networks

52 citations · 70 across the 15 of their papers we have counts for

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8 papers · 1 filter

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.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…

cs.CV2024

BRAVEn: Improving Self-Supervised Pre-training for Visual and Auditory Speech Recognition

Alexandros Haliassos, Andreas Zinonos, Rodrigo Mira +2

Self-supervision has recently shown great promise for learning visual and auditory speech representations from unlabelled data. In this work, we propose BRAVEn, an extension to the…

cs.CV2023

Laughing Matters: Introducing Laughing-Face Generation using Diffusion Models

Antoni Bigata Casademunt, Rodrigo Mira, Nikita Drobyshev +3

Speech-driven animation has gained significant traction in recent years, with current methods achieving near-photorealistic results. However, the field remains underexplored regard…

cs.CV2022★ 2 cited

Leveraging Real Talking Faces via Self-Supervision for Robust Forgery Detection

Alexandros Haliassos, Rodrigo Mira, Stavros Petridis +1

One of the most pressing challenges for the detection of face-manipulated videos is generalising to forgery methods not seen during training while remaining effective under common…