{"id":"https://openalex.org/W4312327685","doi":"https://doi.org/10.1109/iros47612.2022.9981037","title":"HGCN-GJS: Hierarchical Graph Convolutional Network with Groupwise Joint Sampling for Trajectory Prediction","display_name":"HGCN-GJS: Hierarchical Graph Convolutional Network with Groupwise Joint Sampling for Trajectory Prediction","publication_year":2022,"publication_date":"2022-10-23","ids":{"openalex":"https://openalex.org/W4312327685","doi":"https://doi.org/10.1109/iros47612.2022.9981037"},"language":"en","primary_location":{"id":"doi:10.1109/iros47612.2022.9981037","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros47612.2022.9981037","pdf_url":null,"source":{"id":"https://openalex.org/S4363607704","display_name":"2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100707062","display_name":"Yuying Chen","orcid":"https://orcid.org/0000-0003-4954-8192"},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Yuying Chen","raw_affiliation_strings":["The Hong Kong University of Science and Technology,Hong Kong SAR,China","The Hong Kong University of Science and Technology, Hong Kong SAR, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Hong Kong University of Science and Technology,Hong Kong SAR,China","institution_ids":["https://openalex.org/I200769079"]},{"raw_affiliation_string":"The Hong Kong University of Science and Technology, Hong Kong SAR, China","institution_ids":["https://openalex.org/I200769079"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100663033","display_name":"Congcong Liu","orcid":"https://orcid.org/0000-0002-1749-1075"},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Congcong Liu","raw_affiliation_strings":["The Hong Kong University of Science and Technology,Hong Kong SAR,China","The Hong Kong University of Science and Technology, Hong Kong SAR, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Hong Kong University of Science and Technology,Hong Kong SAR,China","institution_ids":["https://openalex.org/I200769079"]},{"raw_affiliation_string":"The Hong Kong University of Science and Technology, Hong Kong SAR, China","institution_ids":["https://openalex.org/I200769079"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056459205","display_name":"Xiaodong Mei","orcid":"https://orcid.org/0000-0002-4687-6345"},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Xiaodong Mei","raw_affiliation_strings":["The Hong Kong University of Science and Technology,Hong Kong SAR,China","The Hong Kong University of Science and Technology, Hong Kong SAR, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Hong Kong University of Science and Technology,Hong Kong SAR,China","institution_ids":["https://openalex.org/I200769079"]},{"raw_affiliation_string":"The Hong Kong University of Science and Technology, Hong Kong SAR, China","institution_ids":["https://openalex.org/I200769079"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068036711","display_name":"Bertram E. Shi","orcid":"https://orcid.org/0000-0001-9167-7495"},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Bertram E. Shi","raw_affiliation_strings":["The Hong Kong University of Science and Technology,Hong Kong SAR,China","The Hong Kong University of Science and Technology, Hong Kong SAR, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Hong Kong University of Science and Technology,Hong Kong SAR,China","institution_ids":["https://openalex.org/I200769079"]},{"raw_affiliation_string":"The Hong Kong University of Science and Technology, Hong Kong SAR, China","institution_ids":["https://openalex.org/I200769079"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100347785","display_name":"Ming Liu","orcid":"https://orcid.org/0000-0002-4500-238X"},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]},{"id":"https://openalex.org/I4210096887","display_name":"HKUST Shenzhen Research Institute","ror":"https://ror.org/00sz56h79","country_code":"CN","type":"facility","lineage":["https://openalex.org/I200769079","https://openalex.org/I20231570","https://openalex.org/I4210096887","https://openalex.org/I4210147811"]},{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["CN","HK"],"is_corresponding":false,"raw_author_name":"Ming Liu","raw_affiliation_strings":["The Hong Kong University of Science and Technology (Guangzhou),Guangzhou,Guangdong,China,511400","HKUST Shenzhen-Hong Kong Collaborative Innovation Research Institute, Futian, Shenzhen"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Hong Kong University of Science and Technology (Guangzhou),Guangzhou,Guangdong,China,511400","institution_ids":["https://openalex.org/I200769079","https://openalex.org/I889458895"]},{"raw_affiliation_string":"HKUST Shenzhen-Hong Kong Collaborative Innovation Research Institute, Futian, Shenzhen","institution_ids":["https://openalex.org/I4210096887"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.0559,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.94107809,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"13400","last_page":"13405"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9976999759674072,"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/T10370","display_name":"Traffic and Road Safety","score":0.9975000023841858,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.7735081911087036},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.749559760093689},{"id":"https://openalex.org/keywords/pairwise-comparison","display_name":"Pairwise comparison","score":0.7166659235954285},{"id":"https://openalex.org/keywords/pedestrian","display_name":"Pedestrian","score":0.6243856549263},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.6078841090202332},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5040634870529175},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3281395435333252},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3252061605453491},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.2838025689125061},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.0805756151676178}],"concepts":[{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.7735081911087036},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.749559760093689},{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.7166659235954285},{"id":"https://openalex.org/C2777113093","wikidata":"https://www.wikidata.org/wiki/Q221488","display_name":"Pedestrian","level":2,"score":0.6243856549263},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.6078841090202332},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5040634870529175},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3281395435333252},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3252061605453491},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2838025689125061},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0805756151676178},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/iros47612.2022.9981037","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros47612.2022.9981037","pdf_url":null,"source":{"id":"https://openalex.org/S4363607704","display_name":"2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)","raw_type":"proceedings-article"},{"id":"pmh:oai:repository.hkust.edu.hk:1783.1-123816","is_oa":false,"landing_page_url":"http://repository.hkust.edu.hk/ir/Record/1783.1-123816","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference paper"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.4399999976158142}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W47624021","https://openalex.org/W1970206276","https://openalex.org/W2089584121","https://openalex.org/W2424778531","https://openalex.org/W2532516272","https://openalex.org/W2911498565","https://openalex.org/W2962687116","https://openalex.org/W2963001155","https://openalex.org/W2969294606","https://openalex.org/W2985871763","https://openalex.org/W2991653934","https://openalex.org/W3005857605","https://openalex.org/W3034589393","https://openalex.org/W3035285524","https://openalex.org/W3108908812","https://openalex.org/W3205125897","https://openalex.org/W4288287716","https://openalex.org/W6765361892","https://openalex.org/W6777156338"],"related_works":["https://openalex.org/W2392100589","https://openalex.org/W2512789322","https://openalex.org/W2487162673","https://openalex.org/W2793211469","https://openalex.org/W2949152769","https://openalex.org/W4372354731","https://openalex.org/W2807634898","https://openalex.org/W2101960027","https://openalex.org/W1692008701","https://openalex.org/W2942366970"],"abstract_inverted_index":{"Pedestrian":[0],"trajectory":[1,32,66,91],"prediction":[2,67],"is":[3,27],"of":[4,20,127],"great":[5],"importance":[6],"for":[7,29,65],"downstream":[8],"tasks,":[9],"such":[10],"as":[11],"autonomous":[12],"driving":[13],"and":[14,50],"mobile":[15],"robot":[16],"navigation.":[17],"Realistic":[18],"models":[19],"the":[21,25,75,128],"social":[22],"interactions":[23,43,49,73],"within":[24,74,103],"crowd":[26],"crucial":[28],"accurate":[30],"pedestrian":[31,88],"prediction.":[33],"However,":[34],"most":[35],"existing":[36],"methods":[37],"do":[38],"not":[39],"capture":[40],"group":[41,71,95,105],"level":[42,72],"well,":[44],"focusing":[45],"only":[46],"on":[47,94,131],"pairwise":[48],"neglecting":[51],"group-wise":[52],"interactions.":[53],"In":[54],"this":[55,97],"work,":[56],"we":[57,78,134],"propose":[58],"a":[59,80],"hierarchical":[60],"graph":[61],"convolutional":[62],"network,":[63],"HGCN-GJS,":[64],"which":[68],"well":[69],"leverages":[70],"crowd.":[76],"Furthermore,":[77],"introduce":[79],"joint":[81],"sampling":[82],"scheme":[83,98],"that":[84,100,121],"captures":[85],"co-dependencies":[86],"between":[87],"trajectories":[89,102],"during":[90],"generation.":[92],"Based":[93],"information,":[96],"ensures":[99],"generated":[101],"each":[104,109],"are":[106],"consistent":[107],"with":[108],"other,":[110],"but":[111],"enables":[112],"different":[113],"groups":[114],"to":[115],"act":[116],"more":[117],"independently.":[118],"We":[119],"demonstrate":[120],"our":[122],"proposed":[123],"network":[124],"achieves":[125],"state":[126],"art":[129],"performance":[130],"all":[132],"datasets":[133],"have":[135],"considered.":[136]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
