Sep 29, 2020 · We propose a more straightforward approach that focuses on training separate cue models specializing on the dominant hand, hands, face, and upper body regions.

Jan 3, 2021 · We propose a more straightforward approach that focuses on training separate cue models specializing on the dominant hand, hands, face, and upper body regions.

We propose a more straightforward approach which focuses on training separate cue models specializing on the dominant hand, both hands, face, and the upper body ...

Sep 29, 2020 · Our experimental results have shown the effectiveness of mixed convolutional models. Their fusion yields up to 19% accuracy improvement over the ...

Sep 29, 2020 · Our experimental results have shown the effectiveness of mixed convolutional models. Their fusion yields up to 19 improvement over the baseline ...

Our experimental results have shown the effectiveness of mixed convolutional models. Their fusion yields up to \(19\%\) accuracy improvement over the baseline ...

In this thesis, we propose a Score-Level Multi Cue Fusion approach that improves the sign language recognition performance of the three dimensional ...

Score-Level Multi Cue Fusion for Sign Language Recognition · List of references · Publications that cite this publication.

Apr 4, 2023 · In this study, we propose an isolated SLR framework based on Spatial-Temporal Graph Convolutional Networks (ST-GCNs) and Multi-Cue Long Short-Term Memorys (MC- ...

Jan 13, 2023 · The paper presents an end-to-end Multi-View Knowledge Transfer (MVKT) network, which, to our knowledge, is the first SLR work to learn visual features from ...