Aug 16, 2021 · We propose a novel model of dynamic mouth contours called Adaptive Semantic-Spatio-Temporal Graph Convolution Network (ASST-GCN), to go beyond previous methods.

The goal of this work is to recognize words, phrases, and sentences being spoken by a talking face without given the audio. Current deep learning approaches ...

This work proposes a novel model of dynamic mouth contours called Adaptive Semantic-Spatio-Temporal Graph Convolution Network (ASST-GCN), ...

Jul 12, 2022 · Abstract—The goal of this work is to recognize words, phrases, and sentences being spoken by a talking face without given the audio.

The goal of this work is to recognize words, phrases, and sentences being spoken by a talking face without given the audio. Current deep learning approaches ...

Adaptive Semantic-Spatio-Temporal Graph Convolutional Network for Lip Reading · no code implementations • IEEE Transactions on Multimedia 2021 • Changchong ...

Adaptive Semantic-Spatio-Temporal Graph Convolutional Network for Lip Reading. Peer-reviewed. Open access. DOI. 10.1109/tmm.2021.3102433. 2022 ...

Adaptive Semantic-Spatio-Temporal Graph Convolutional Network for Lip Reading · Spatio-Temporal Attention Mechanism and Knowledge Distillation for Lip Reading.

Landmark-based Lipreading on LRW ; 4. Adaptive GCN. 60.7. Adaptive Semantic-Spatio-Temporal Graph Convolutional Network for Lip Reading ; 5. Lip Graph Assisted.

Sep 19, 2024 · The lipreading approach proposed by Stafylakis et al. [32] consists of a 3D convolutional neural network and a residual network designed to ...