Nov 12, 2019 · Abstract:In this paper, we present an approach based on convolutional neural networks (CNNs) for facial expression recognition in a ...
Dec 5, 2019 · In this paper, we present an approach based on convolutional neural networks (CNNs) for facial expression recognition in a difficult setting ...
An approach based on convolutional neural networks for facial expression recognition in a difficult setting with severe occlusions is presented, ...
Nov 16, 2019 · In this paper, we present an approach based on convolutional neural networks (CNNs) for facial expression recognition in a difficult setting ...
Sep 17, 2022 · We propose a Component based Ensemble Stacked Convolution Neural Networks CES-CNN to recognize facial expressions from partially occluded faces ...
Nov 20, 2019 · The proposed framework can significantly improve the performance of recognizing occluded faces. The researchers specifically worked towards ...
Nov 12, 2019 · In this paper, we present an approach based on convolutional neural networks (CNNs) for facial expression recognition in a difficult setting ...
In this paper, we explored possible features that could distinguish disguised faces compared to original faces, including skin region, luminosity, textures and ...
This paper proposes an Information Reuse Attention Module (IRAM) for Convolutional Neural Network (CNN) to extract attention-aware features from faces.
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However, for occluded faces (containing occlusion caused by other objects and self-occlusion caused by head posture changes), the attention mechanism has the ...