{"id":"https://openalex.org/W3104869905","doi":"https://doi.org/10.1109/icra48506.2021.9561582","title":"Social-STAGE: Spatio-Temporal Multi-Modal Future Trajectory Forecast","display_name":"Social-STAGE: Spatio-Temporal Multi-Modal Future Trajectory Forecast","publication_year":2021,"publication_date":"2021-05-30","ids":{"openalex":"https://openalex.org/W3104869905","doi":"https://doi.org/10.1109/icra48506.2021.9561582","mag":"3104869905"},"language":"en","primary_location":{"id":"doi:10.1109/icra48506.2021.9561582","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icra48506.2021.9561582","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Robotics and Automation (ICRA)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2011.04853","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5009999184","display_name":"Srikanth Malla","orcid":"https://orcid.org/0000-0002-7431-3064"},"institutions":[{"id":"https://openalex.org/I4210145184","display_name":"Honda (United States)","ror":"https://ror.org/04vdmc602","country_code":"US","type":"company","lineage":["https://openalex.org/I1283473643","https://openalex.org/I4210145184"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Srikanth Malla","raw_affiliation_strings":["Honda Research Institute USA,San Jose,CA,USA,95134"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Honda Research Institute USA,San Jose,CA,USA,95134","institution_ids":["https://openalex.org/I4210145184"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027421783","display_name":"Chiho Choi","orcid":"https://orcid.org/0000-0002-0196-2039"},"institutions":[{"id":"https://openalex.org/I4210145184","display_name":"Honda (United States)","ror":"https://ror.org/04vdmc602","country_code":"US","type":"company","lineage":["https://openalex.org/I1283473643","https://openalex.org/I4210145184"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chiho Choi","raw_affiliation_strings":["Honda Research Institute USA,San Jose,CA,USA,95134"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Honda Research Institute USA,San Jose,CA,USA,95134","institution_ids":["https://openalex.org/I4210145184"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031340269","display_name":"Behzad Dariush","orcid":null},"institutions":[{"id":"https://openalex.org/I4210145184","display_name":"Honda (United States)","ror":"https://ror.org/04vdmc602","country_code":"US","type":"company","lineage":["https://openalex.org/I1283473643","https://openalex.org/I4210145184"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Behzad Dariush","raw_affiliation_strings":["Honda Research Institute USA,San Jose,CA,USA,95134"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Honda Research Institute USA,San Jose,CA,USA,95134","institution_ids":["https://openalex.org/I4210145184"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210145184"],"apc_list":null,"apc_paid":null,"fwci":0.0955,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.28182689,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":93},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9966999888420105,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9962000250816345,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/modal","display_name":"Modal","score":0.7069470882415771},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7027958631515503},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.6946438550949097},{"id":"https://openalex.org/keywords/modality","display_name":"Modality (human\u2013computer interaction)","score":0.6597090363502502},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5465521216392517},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5313834547996521},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.5268715023994446},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.48276105523109436},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3348187804222107},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.15156400203704834}],"concepts":[{"id":"https://openalex.org/C71139939","wikidata":"https://www.wikidata.org/wiki/Q910194","display_name":"Modal","level":2,"score":0.7069470882415771},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7027958631515503},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.6946438550949097},{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.6597090363502502},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5465521216392517},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5313834547996521},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.5268715023994446},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.48276105523109436},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3348187804222107},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.15156400203704834},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"id":"https://openalex.org/C188027245","wikidata":"https://www.wikidata.org/wiki/Q750446","display_name":"Polymer chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/icra48506.2021.9561582","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icra48506.2021.9561582","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Robotics and Automation (ICRA)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2011.04853","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2011.04853","pdf_url":"https://arxiv.org/pdf/2011.04853","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"mag:3104869905","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/2011.04853.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.2011.04853","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2011.04853","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2011.04853","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2011.04853","pdf_url":"https://arxiv.org/pdf/2011.04853","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.6299999952316284}],"awards":[],"funders":[{"id":"https://openalex.org/F4320318799","display_name":"Honda Research Institute, USA","ror":null}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W3104869905.pdf"},"referenced_works_count":36,"referenced_works":["https://openalex.org/W1810943226","https://openalex.org/W1970206276","https://openalex.org/W2067621428","https://openalex.org/W2424778531","https://openalex.org/W2519887557","https://openalex.org/W2532516272","https://openalex.org/W2557519264","https://openalex.org/W2607296803","https://openalex.org/W2766836212","https://openalex.org/W2799059904","https://openalex.org/W2805701896","https://openalex.org/W2891401260","https://openalex.org/W2948479456","https://openalex.org/W2962687116","https://openalex.org/W2963001155","https://openalex.org/W2963076818","https://openalex.org/W2963353290","https://openalex.org/W2963403868","https://openalex.org/W2963945905","https://openalex.org/W2966667426","https://openalex.org/W2967177252","https://openalex.org/W2970219816","https://openalex.org/W2985871763","https://openalex.org/W2990973279","https://openalex.org/W2991653934","https://openalex.org/W3028769608","https://openalex.org/W3035096461","https://openalex.org/W3035172263","https://openalex.org/W3166932403","https://openalex.org/W6638273328","https://openalex.org/W6726873649","https://openalex.org/W6739901393","https://openalex.org/W6765361892","https://openalex.org/W6766990753","https://openalex.org/W6769043036","https://openalex.org/W6775989478"],"related_works":["https://openalex.org/W3206442341","https://openalex.org/W2793664262","https://openalex.org/W3123575210","https://openalex.org/W3107210395","https://openalex.org/W3090783937","https://openalex.org/W2808953874","https://openalex.org/W2998367712","https://openalex.org/W2913593108","https://openalex.org/W2777901996","https://openalex.org/W3024703508","https://openalex.org/W2984596259","https://openalex.org/W3201802130","https://openalex.org/W3048167774","https://openalex.org/W2963274939","https://openalex.org/W3122155873","https://openalex.org/W2564464864","https://openalex.org/W3199843851","https://openalex.org/W2581220703","https://openalex.org/W2940988007","https://openalex.org/W3048645451"],"abstract_inverted_index":{"This":[0],"paper":[1],"considers":[2],"the":[3,18,24,67,89,93,96],"problem":[4],"of":[5,52,62,72,95],"multi-modal":[6,73],"future":[7],"trajectory":[8],"forecast":[9],"with":[10,40,54],"ranking.":[11],"Here,":[12],"multi-modality":[13,53],"and":[14,23,50,58,60,69,84,86],"ranking":[15,55],"refer":[16],"to":[17,65],"multiple":[19],"plausible":[20],"path":[21],"predictions":[22],"confidence":[25,71],"in":[26],"those":[27],"predictions,":[28],"respectively.":[29],"We":[30,75],"propose":[31],"Social-STAGE,":[32],"Social":[33],"interaction-aware":[34],"Spatio-Temporal":[35],"multi-Attention":[36],"Graph":[37],"convolution":[38],"network":[39],"novel":[41],"Evaluation":[42],"for":[43],"multi-modality.":[44],"Our":[45],"main":[46],"contributions":[47],"include":[48],"analysis":[49],"formulation":[51],"using":[56],"interaction":[57],"multi-attention,":[59],"introduction":[61],"new":[63],"metrics":[64],"evaluate":[66,76],"diversity":[68],"associated":[70],"predictions.":[74],"our":[77],"approach":[78],"on":[79,98],"existing":[80],"public":[81],"datasets":[82],"ETH":[83],"UCY":[85],"show":[87],"that":[88],"proposed":[90],"algorithm":[91],"outperforms":[92],"state":[94],"arts":[97],"these":[99],"datasets.":[100]},"counts_by_year":[{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
