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Oct 5, 2024 · Our multi-task learning framework, named DeepMarkerNet, integrates a transformer network with the utilization of facial D-Markers for accurate smile ...
Oct 5, 2024 · We propose a novel multi-task learning framework for spontaneous smile recognition. Our framework combines feature-based techniques with deep learning-based ...
Oct 10, 2024 · To enable feature extraction and reduction in pattern recognition applications, discriminant subspace analysis-based algorithms are used.
Sep 26, 2024 · This project introduces DeepMarkerNet, a novel deep learning solution that leverages Duchenne Marker (D-Marker) features to improve spontaneous ...
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Co-authors ; DeepMarkerNet: Leveraging supervision from the Duchenne Marker for spontaneous smile recognition. MJ Hasan, K Rafat, F Rahman, N Mohammed, S Rahman.
DeepMarkerNet: Leveraging Supervision from the Duchenne Marker for Spontaneous Smile Recognition, Pattern Recognition Letters, Volume 186, 2024, Pages 148 ...
This work investigates an end-to-end deep learning model for spontaneous and posed smile recognition, which is fast and learns the feature extraction ...
DeepMarkerNet: Leveraging supervision from the Duchenne Marker for spontaneous smile recognition. Article. Oct 2024; PATTERN RECOGN LETT.
Oct 23, 2024 · DeepMarkerNet: Leveraging supervision from the Duchenne Marker for spontaneous smile recognition. Pattern Recognit. Lett. 186: 148-155 (2024).
DeepMarkerNet: Leveraging supervision from the Duchenne Marker for spontaneous smile recognition. Pattern Recognition Letters. 2024-10 | Journal article. DOI ...