Katerina Papadimitriou — accepted AI-conference papers

2023

Sign Language Recognition via Deformable 3D Convolutions and Modulated Graph Convolutional Networks

Katerina Papadimitriou, Gerasimos Potamianos

ICASSP 2023accepted

Automatic sign language recognition (SLR) remains challenging, especially when employing RGB video alone (i.e., with no depth or special glove-based input) and under a signer-independent (SI) framework, due to inter-personal signing variation. In this paper, we address SI isolated SLR from RGB video…

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2022

Spatio-Temporal Graph Convolutional Networks for Continuous Sign Language Recognition

Maria Parelli, Katerina Papadimitriou, Gerasimos Potamianos, Georgios Pavlakos, Petros Maragos

ICASSP 2022accepted

We address the challenging problem of continuous sign language recognition (CSLR) from RGB videos, proposing a novel deep-learning framework that employs spatio-temporal graph convolutional networks (ST-GCNs), which operate on multiple, appropriately fused feature streams, capturing the signer’s pos…

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