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Dec 26, 2023 · To build discriminative representation from tiny regions, this paper proposes a novel two stream network, namely Adaptive and Compact Graph ...
To build discriminative representation from tiny regions, this paper proposes a novel two stream network, namely Adaptive and Compact Graph Convolutional ...
In this work, we propose a novel framework for micro-expression recognition, named the Adaptive Temporal Motion Guided Graph Convolution Network (ATM-GCN). Our ...
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Jun 13, 2024 · In this work, we propose a novel framework for micro-expression recognition, named the Adaptive Temporal Motion Guided Graph Convolution Network ...
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To improve the recognition performance of the small micro-expression data, this paper presents a transferring dual stochastic Graph Convolutional Network ( ...
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Jun 3, 2024 · In this paper, we propose a novel graph convolution network (GCN) for MER achieving state-of-the-art accuracy. Different to existing GCN with ...
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Lei et al. [11] employed Graph Convolutional Networks (GCN) to learn facial AU features related to micro-expression. They represented micro-expression with ...
This work proposes an end-to-end AU-oriented graph classification network, namely MER-GCN, which uses 3D ConvNets to extract AU features and applies GCN ...
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Jun 28, 2023 · Graph convolutional networks (GCNs) have obtained remarkable performance in skeleton-based action recognition. However, previous approaches ...
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In this work, we propose an Adaptive Graph-based Feature Normalization (AGFN) to protect FER models from data uncertainties by normalizing feature distributions ...
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