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  "author": "Yuedong Chen",
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  "defined_in": "https://doi.org/10.48550/arXiv.2003.03055",
            
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  "doi": "10.57702/48c8gqv6",
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  "doi": "10.57702/48c8gqv6",
            
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  "doi_date_published": "2024-12-02",
            
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  "extra_authors": [
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  "extra_authors": [
            
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    {
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    {
            
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      "extra_author": "Guoxian Song",
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      "extra_author": "Guoxian Song",
            
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      "orcid": ""
            
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    },
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    {
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    {
            
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      "extra_author": "Zhiwen Shao",
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      "extra_author": "Zhiwen Shao",
            
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      "orcid": ""
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      "orcid": ""
            
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    },
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    {
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      "extra_author": "Jianfei Cai",
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      "extra_author": "Jianfei Cai",
            
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      "orcid": ""
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      "orcid": ""
            
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    },
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    {
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    {
            
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      "extra_author": "Tat-Jen Cham",
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      "extra_author": "Tat-Jen Cham",
            
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      "orcid": ""
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      "orcid": ""
            
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    },
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    },
            
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    {
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    {
            
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      "extra_author": "Jianmin Zheng",
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      "extra_author": "Jianmin Zheng",
            
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      "orcid": ""
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      "orcid": ""
            
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    }
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      "description": "",
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      "description": "",
            
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      "display_name": "Facial Action Unit Recognition",
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      "name": "facial-action-unit-recognition",
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      "name": "facial-action-unit-recognition",
            
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      "title": "Facial Action Unit Recognition"
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      "title": "Facial Action Unit Recognition"
            
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  "name": 
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  "name": 
            
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conv--geodesic-guided-convolution-for-facial-action-unit-recognition",
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conv--geodesic-guided-convolution-for-facial-action-unit-recognition",
            
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  "notes": "Automatic facial action unit (AU) recognition has 
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  "notes": "Automatic facial action unit (AU) recognition has 
            
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attracted great attention but still remains a challenging task, as 
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attracted great attention but still remains a challenging task, as 
            
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subtle changes of local facial muscles are difficult to thoroughly 
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subtle changes of local facial muscles are difficult to thoroughly 
            
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capture. Most existing AU recognition approaches leverage geometry 
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capture. Most existing AU recognition approaches leverage geometry 
            
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information in a straightfor-ward 2D or 3D manner, which either ignore 
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information in a straightfor-ward 2D or 3D manner, which either ignore 
            
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3D manifold information or suffer from high computational costs.",
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3D manifold information or suffer from high computational costs.",
            
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      "display_name": "Facial Action Unit Recognition",
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      "display_name": "Facial Action Unit Recognition",
            
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      "id": "fabccd98-cae0-4a4c-8585-3121661c68e0",
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      "id": "fabccd98-cae0-4a4c-8585-3121661c68e0",
            
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      "name": "Facial Action Unit Recognition",
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      "name": "Facial Action Unit Recognition",
            
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      "state": "active",
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      "state": "active",
            
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      "vocabulary_id": null
            
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    },
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      "display_name": "Geodesic Guided Convolution",
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      "display_name": "Geodesic Guided Convolution",
            
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      "id": "d500672a-2df4-496b-980e-b970f219c2ba",
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      "id": "d500672a-2df4-496b-980e-b970f219c2ba",
            
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      "name": "Geodesic Guided Convolution",
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      "name": "Geodesic Guided Convolution",
            
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      "state": "active",
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      "vocabulary_id": null
            
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  ],
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  ],
            
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  "title": "GeoConv: Geodesic Guided Convolution for Facial Action 
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  "title": "GeoConv: Geodesic Guided Convolution for Facial Action 
            
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Unit Recognition",
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Unit Recognition",
            
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  "version": ""
            
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}
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}