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  "access_rights": "",
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  "author": "Ahmed A.Abdelrahman",
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  "author": "Ahmed A.Abdelrahman",
            
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  "defined_in": "https://doi.org/10.48550/arXiv.2203.03339",
            
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  "doi": "10.57702/f6s3fno0",
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  "doi": "10.57702/f6s3fno0",
            
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  "doi_date_published": null,
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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": "Thorsten Hempel",
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      "extra_author": "Thorsten Hempel",
            
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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": "Aly Khalifa",
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      "extra_author": "Aly Khalifa",
            
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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": "Ayoub Al-Hamadi",
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      "extra_author": "Ayoub Al-Hamadi",
            
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      "orcid": ""
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      "orcid": ""
            
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    }
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    {
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      "description": "",
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      "description": "",
            
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      "display_name": "Gaze Estimation",
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      "display_name": "Gaze Estimation",
            
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      "name": "gaze-estimation",
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      "name": "gaze-estimation",
            
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      "title": "Gaze Estimation"
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      "title": "Gaze Estimation"
            
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  "metadata_modified": "2024-12-02T23:44:27.922941",
            
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  "name": 
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  "name": 
            
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l2cs-net--fine-grained-gaze-estimation-in-unconstrained-environments",
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l2cs-net--fine-grained-gaze-estimation-in-unconstrained-environments",
            
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  "notes": "Human gaze is a crucial cue used in various applications 
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  "notes": "Human gaze is a crucial cue used in various applications 
            
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such as human-robot interaction and virtual reality. Recently, 
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such as human-robot interaction and virtual reality. Recently, 
            
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convolution neural network (CNN) approaches have made notable progress 
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convolution neural network (CNN) approaches have made notable progress 
            
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in predicting gaze direction.",
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in predicting gaze direction.",
            
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      "display_name": "CNN",
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      "display_name": "CNN",
            
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      "id": "66ec0da0-d205-4a39-90c6-bae7e7b1cbd6",
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      "display_name": "gaze estimation",
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      "display_name": "gaze estimation",
            
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      "id": "0255df42-5ab9-4d77-a555-d67adb7810be",
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      "id": "0255df42-5ab9-4d77-a555-d67adb7810be",
            
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      "name": "gaze estimation",
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      "name": "gaze estimation",
            
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      "display_name": "unconstrained environments",
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      "display_name": "unconstrained environments",
            
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      "id": "12741fce-1b83-4a2d-a636-eabd89fdf4fd",
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      "name": "unconstrained environments",
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      "name": "unconstrained environments",
            
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      "vocabulary_id": null
            
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    }
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  ],
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  ],
            
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  "title": "L2CS-NET: FINE-GRAINED GAZE ESTIMATION IN UNCONSTRAINED 
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  "title": "L2CS-NET: FINE-GRAINED GAZE ESTIMATION IN UNCONSTRAINED 
            
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ENVIRONMENTS",
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ENVIRONMENTS",
            
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  "type": "dataset",
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  "type": "dataset",
            
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  "version": ""
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  "version": ""
            
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}
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}