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  "author": "Ming-Fang Chang",
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  "author": "Ming-Fang Chang",
            
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  "author_email": "",
            
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  "defined_in": "https://doi.org/10.48550/arXiv.2404.01925",
            
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  "doi": "10.57702/jgka1p3b",
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  "doi": "10.57702/jgka1p3b",
            
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  "extra_authors": [
            
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    {
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      "extra_author": "John Lambert",
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      "extra_author": "John Lambert",
            
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    },
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    {
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      "extra_author": "Patsorn Sangkloy",
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      "extra_author": "Patsorn Sangkloy",
            
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      "orcid": ""
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      "orcid": ""
            
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    },
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    {
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      "extra_author": "Jagjeet Singh",
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      "extra_author": "Jagjeet Singh",
            
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      "orcid": ""
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      "orcid": ""
            
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    },
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    {
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      "extra_author": "Slawomir Bak",
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      "extra_author": "Slawomir Bak",
            
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      "orcid": ""
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      "orcid": ""
            
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    },
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    {
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      "extra_author": "Andrew Hartnett",
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      "extra_author": "Andrew Hartnett",
            
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      "orcid": ""
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      "orcid": ""
            
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    },
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      "extra_author": "De Wang",
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      "extra_author": "De Wang",
            
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      "orcid": ""
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      "orcid": ""
            
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    },
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    {
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      "extra_author": "Peter Carr",
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      "extra_author": "Peter Carr",
            
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      "orcid": ""
            
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    },
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    {
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      "extra_author": "Simon Lucey",
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      "extra_author": "Simon Lucey",
            
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      "orcid": ""
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      "orcid": ""
            
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    },
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    {
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      "extra_author": "Deva Ramanan",
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      "extra_author": "Deva Ramanan",
            
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      "orcid": ""
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  "notes": "The Argoverse dataset includes 65 training and 24 
            
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validation sequences recorded in Miami and Pittsburgh.",
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  "title": "Argoverse: 3D tracking and forecasting with rich maps",
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}