Changes

              
    

          
          
        
        

            
f
1
{
f
1
{
            
2
  "access_rights": "",
2
  "access_rights": "",
            
3
  "author": "Younwoo Choi",
3
  "author": "Younwoo Choi",
            
4
  "author_email": "",
4
  "author_email": "",
            
5
  "citation": [],
5
  "citation": [],
            
6
  "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700",
6
  "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700",
            
7
  "defined_in": "https://doi.org/10.48550/arXiv.2310.14570",
7
  "defined_in": "https://doi.org/10.48550/arXiv.2310.14570",
            
8
  "doi": "10.57702/j9s0io3z",
8
  "doi": "10.57702/j9s0io3z",
            
n
9
  "doi_date_published": null,
n
9
  "doi_date_published": "2024-12-16",
            
10
  "doi_publisher": "TIB",
10
  "doi_publisher": "TIB",
            
n
11
  "doi_status": false,
n
11
  "doi_status": true,
            
12
  "domain": "https://service.tib.eu/ldmservice",
12
  "domain": "https://service.tib.eu/ldmservice",
            
13
  "extra_authors": [
13
  "extra_authors": [
            
14
    {
14
    {
            
15
      "extra_author": "Ray Coden Mercurius",
15
      "extra_author": "Ray Coden Mercurius",
            
16
      "orcid": ""
16
      "orcid": ""
            
17
    },
17
    },
            
18
    {
18
    {
            
19
      "extra_author": "Soheil Mohamad Alizadeh Shabestary",
19
      "extra_author": "Soheil Mohamad Alizadeh Shabestary",
            
20
      "orcid": ""
20
      "orcid": ""
            
21
    },
21
    },
            
22
    {
22
    {
            
23
      "extra_author": "Amir Rasouli",
23
      "extra_author": "Amir Rasouli",
            
24
      "orcid": ""
24
      "orcid": ""
            
25
    }
25
    }
            
26
  ],
26
  ],
            
27
  "groups": [
27
  "groups": [
            
28
    {
28
    {
            
29
      "description": "",
29
      "description": "",
            
30
      "display_name": "Diffusion Models",
30
      "display_name": "Diffusion Models",
            
31
      "id": "92c5c06b-20eb-44ab-8212-50fe6cbf8971",
31
      "id": "92c5c06b-20eb-44ab-8212-50fe6cbf8971",
            
32
      "image_display_url": "",
32
      "image_display_url": "",
            
33
      "name": "diffusion-models",
33
      "name": "diffusion-models",
            
34
      "title": "Diffusion Models"
34
      "title": "Diffusion Models"
            
35
    },
35
    },
            
36
    {
36
    {
            
37
      "description": "",
37
      "description": "",
            
38
      "display_name": "Trajectory Prediction",
38
      "display_name": "Trajectory Prediction",
            
39
      "id": "c7281c5e-5378-4760-81a6-a583369aa288",
39
      "id": "c7281c5e-5378-4760-81a6-a583369aa288",
            
40
      "image_display_url": "",
40
      "image_display_url": "",
            
41
      "name": "trajectory-prediction",
41
      "name": "trajectory-prediction",
            
42
      "title": "Trajectory Prediction"
42
      "title": "Trajectory Prediction"
            
43
    }
43
    }
            
44
  ],
44
  ],
            
45
  "id": "2c526ca4-2f6b-449b-83bd-90462bdfea70",
45
  "id": "2c526ca4-2f6b-449b-83bd-90462bdfea70",
            
46
  "isopen": false,
46
  "isopen": false,
            
47
  "landing_page": "https://arxiv.org/abs/2303.01880",
47
  "landing_page": "https://arxiv.org/abs/2303.01880",
            
48
  "license_title": null,
48
  "license_title": null,
            
49
  "link_orkg": "",
49
  "link_orkg": "",
            
50
  "metadata_created": "2024-12-16T19:16:45.452284",
50
  "metadata_created": "2024-12-16T19:16:45.452284",
            
n
51
  "metadata_modified": "2024-12-16T19:16:45.452290",
n
51
  "metadata_modified": "2024-12-16T19:16:45.874125",
            
52
  "name": 
52
  "name": 
            
53
dice--diverse-diffusion-model-with-scoring-for-trajectory-prediction",
53
dice--diverse-diffusion-model-with-scoring-for-trajectory-prediction",
            
54
  "notes": "Road user trajectory prediction in dynamic environments is 
54
  "notes": "Road user trajectory prediction in dynamic environments is 
            
55
a challenging but crucial task for various applications, such as 
55
a challenging but crucial task for various applications, such as 
            
56
autonomous driving. One of the main challenges in this domain is the 
56
autonomous driving. One of the main challenges in this domain is the 
            
57
multimodal nature of future trajectories stemming from the unknown yet 
57
multimodal nature of future trajectories stemming from the unknown yet 
            
58
diverse intentions of the agents. Diffusion models have shown to be 
58
diverse intentions of the agents. Diffusion models have shown to be 
            
59
very effective in capturing such stochasticity in prediction tasks.",
59
very effective in capturing such stochasticity in prediction tasks.",
            
n
60
  "num_resources": 0,
n
60
  "num_resources": 1,
            
61
  "num_tags": 4,
61
  "num_tags": 4,
            
62
  "organization": {
62
  "organization": {
            
63
    "approval_status": "approved",
63
    "approval_status": "approved",
            
64
    "created": "2024-11-25T12:11:38.292601",
64
    "created": "2024-11-25T12:11:38.292601",
            
65
    "description": "",
65
    "description": "",
            
66
    "id": "079d46db-32df-4b48-91f3-0a8bc8f69559",
66
    "id": "079d46db-32df-4b48-91f3-0a8bc8f69559",
            
67
    "image_url": "",
67
    "image_url": "",
            
68
    "is_organization": true,
68
    "is_organization": true,
            
69
    "name": "no-organization",
69
    "name": "no-organization",
            
70
    "state": "active",
70
    "state": "active",
            
71
    "title": "No Organization",
71
    "title": "No Organization",
            
72
    "type": "organization"
72
    "type": "organization"
            
73
  },
73
  },
            
74
  "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559",
74
  "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559",
            
75
  "private": false,
75
  "private": false,
            
76
  "relationships_as_object": [],
76
  "relationships_as_object": [],
            
77
  "relationships_as_subject": [],
77
  "relationships_as_subject": [],
            
t
78
  "resources": [],
t
78
  "resources": [
            
79
    {
            
80
      "cache_last_updated": null,
            
81
      "cache_url": null,
            
82
      "created": "2024-12-16T18:25:40",
            
83
      "data": [
            
84
        "dcterms:title",
            
85
        "dcterms:accessRights",
            
86
        "dcterms:creator",
            
87
        "dcterms:description",
            
88
        "dcterms:issued",
            
89
        "dcterms:language",
            
90
        "dcterms:identifier",
            
91
        "dcat:theme",
            
92
        "dcterms:type",
            
93
        "dcat:keyword",
            
94
        "dcat:landingPage",
            
95
        "dcterms:hasVersion",
            
96
        "dcterms:format",
            
97
        "mls:task",
            
98
        "datacite:isDescribedBy"
            
99
      ],
            
100
      "description": "The json representation of the dataset with its 
            
101
distributions based on DCAT.",
            
102
      "format": "JSON",
            
103
      "hash": "",
            
104
      "id": "35bc72a1-73ba-4645-b22e-4214e137d5ac",
            
105
      "last_modified": "2024-12-16T19:16:45.865493",
            
106
      "metadata_modified": "2024-12-16T19:16:45.877331",
            
107
      "mimetype": "application/json",
            
108
      "mimetype_inner": null,
            
109
      "name": "Original Metadata",
            
110
      "package_id": "2c526ca4-2f6b-449b-83bd-90462bdfea70",
            
111
      "position": 0,
            
112
      "resource_type": null,
            
113
      "size": 1144,
            
114
      "state": "active",
            
115
      "url": 
            
116
resource/35bc72a1-73ba-4645-b22e-4214e137d5ac/download/metadata.json",
            
117
      "url_type": "upload"
            
118
    }
            
119
  ],
            
79
  "services_used_list": "",
120
  "services_used_list": "",
            
80
  "state": "active",
121
  "state": "active",
            
81
  "tags": [
122
  "tags": [
            
82
    {
123
    {
            
83
      "display_name": "Autonomous driving",
124
      "display_name": "Autonomous driving",
            
84
      "id": "021c30a1-b663-4fd6-b6e1-2365980f249c",
125
      "id": "021c30a1-b663-4fd6-b6e1-2365980f249c",
            
85
      "name": "Autonomous driving",
126
      "name": "Autonomous driving",
            
86
      "state": "active",
127
      "state": "active",
            
87
      "vocabulary_id": null
128
      "vocabulary_id": null
            
88
    },
129
    },
            
89
    {
130
    {
            
90
      "display_name": "Diffusion models",
131
      "display_name": "Diffusion models",
            
91
      "id": "ea4f4793-a811-49bc-8f88-33550278d84f",
132
      "id": "ea4f4793-a811-49bc-8f88-33550278d84f",
            
92
      "name": "Diffusion models",
133
      "name": "Diffusion models",
            
93
      "state": "active",
134
      "state": "active",
            
94
      "vocabulary_id": null
135
      "vocabulary_id": null
            
95
    },
136
    },
            
96
    {
137
    {
            
97
      "display_name": "Pedestrian prediction",
138
      "display_name": "Pedestrian prediction",
            
98
      "id": "efd854b9-aa2a-49ff-a83b-c5d62488f59b",
139
      "id": "efd854b9-aa2a-49ff-a83b-c5d62488f59b",
            
99
      "name": "Pedestrian prediction",
140
      "name": "Pedestrian prediction",
            
100
      "state": "active",
141
      "state": "active",
            
101
      "vocabulary_id": null
142
      "vocabulary_id": null
            
102
    },
143
    },
            
103
    {
144
    {
            
104
      "display_name": "Trajectory prediction",
145
      "display_name": "Trajectory prediction",
            
105
      "id": "933e319c-3db7-4b51-b098-25063a72c1fd",
146
      "id": "933e319c-3db7-4b51-b098-25063a72c1fd",
            
106
      "name": "Trajectory prediction",
147
      "name": "Trajectory prediction",
            
107
      "state": "active",
148
      "state": "active",
            
108
      "vocabulary_id": null
149
      "vocabulary_id": null
            
109
    }
150
    }
            
110
  ],
151
  ],
            
111
  "title": "DICE: Diverse Diffusion Model with Scoring for Trajectory 
152
  "title": "DICE: Diverse Diffusion Model with Scoring for Trajectory 
            
112
Prediction",
153
Prediction",
            
113
  "type": "dataset",
154
  "type": "dataset",
            
114
  "version": ""
155
  "version": ""
            
115
}
156
}