{"id":"https://openalex.org/W2981345961","doi":"https://doi.org/10.1145/3359566.3360087","title":"Scenario Generalization of Data-driven Imitation Models in Crowd Simulation","display_name":"Scenario Generalization of Data-driven Imitation Models in Crowd Simulation","publication_year":2019,"publication_date":"2019-10-25","ids":{"openalex":"https://openalex.org/W2981345961","doi":"https://doi.org/10.1145/3359566.3360087","mag":"2981345961"},"language":"en","primary_location":{"id":"doi:10.1145/3359566.3360087","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3359566.3360087","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Motion, Interaction and Games","raw_type":"proceedings-article"},"type":"article","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/A5043398059","display_name":"Gang Qiao","orcid":"https://orcid.org/0000-0002-2327-160X"},"institutions":[{"id":"https://openalex.org/I4210096112","display_name":"Rutgers Sexual and Reproductive Health and Rights","ror":"https://ror.org/00rcvgx40","country_code":"NL","type":"other","lineage":["https://openalex.org/I4210096112"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Gang Qiao","raw_affiliation_strings":["Rutgers University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Rutgers University","institution_ids":["https://openalex.org/I4210096112"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101900985","display_name":"Honglu Zhou","orcid":"https://orcid.org/0000-0002-2953-6277"},"institutions":[{"id":"https://openalex.org/I4210096112","display_name":"Rutgers Sexual and Reproductive Health and Rights","ror":"https://ror.org/00rcvgx40","country_code":"NL","type":"other","lineage":["https://openalex.org/I4210096112"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Honglu Zhou","raw_affiliation_strings":["Rutgers University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Rutgers University","institution_ids":["https://openalex.org/I4210096112"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069589954","display_name":"Mubbasir Kapadia","orcid":"https://orcid.org/0000-0002-3501-0028"},"institutions":[{"id":"https://openalex.org/I4210096112","display_name":"Rutgers Sexual and Reproductive Health and Rights","ror":"https://ror.org/00rcvgx40","country_code":"NL","type":"other","lineage":["https://openalex.org/I4210096112"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Mubbasir Kapadia","raw_affiliation_strings":["Rutgers University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Rutgers University","institution_ids":["https://openalex.org/I4210096112"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039123069","display_name":"Sejong Yoon","orcid":"https://orcid.org/0000-0003-1012-283X"},"institutions":[{"id":"https://openalex.org/I64281891","display_name":"College of New Jersey","ror":"https://ror.org/02nx5r318","country_code":"US","type":"education","lineage":["https://openalex.org/I64281891"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sejong Yoon","raw_affiliation_strings":["The College of New Jersey"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The College of New Jersey","institution_ids":["https://openalex.org/I64281891"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020368096","display_name":"Vladimir Pavlovi\u0107","orcid":"https://orcid.org/0000-0003-3979-1236"},"institutions":[{"id":"https://openalex.org/I4210096112","display_name":"Rutgers Sexual and Reproductive Health and Rights","ror":"https://ror.org/00rcvgx40","country_code":"NL","type":"other","lineage":["https://openalex.org/I4210096112"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Vladimir Pavlovic","raw_affiliation_strings":["Rutgers University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Rutgers University","institution_ids":["https://openalex.org/I4210096112"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.44,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.66205265,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"11"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11500","display_name":"Evacuation and Crowd Dynamics","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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/T11500","display_name":"Evacuation and Crowd Dynamics","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9966999888420105,"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"}},{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.987500011920929,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/crowds","display_name":"Crowds","score":0.8860999345779419},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8028121590614319},{"id":"https://openalex.org/keywords/imitation","display_name":"Imitation","score":0.6640075445175171},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.660706639289856},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6167541742324829},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.48564612865448},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.4515978693962097},{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.44380098581314087},{"id":"https://openalex.org/keywords/obstacle","display_name":"Obstacle","score":0.4388939440250397},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.40562647581100464},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.08478441834449768}],"concepts":[{"id":"https://openalex.org/C2777852691","wikidata":"https://www.wikidata.org/wiki/Q13430821","display_name":"Crowds","level":2,"score":0.8860999345779419},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8028121590614319},{"id":"https://openalex.org/C126388530","wikidata":"https://www.wikidata.org/wiki/Q1131737","display_name":"Imitation","level":2,"score":0.6640075445175171},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.660706639289856},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6167541742324829},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.48564612865448},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.4515978693962097},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.44380098581314087},{"id":"https://openalex.org/C2776650193","wikidata":"https://www.wikidata.org/wiki/Q264661","display_name":"Obstacle","level":2,"score":0.4388939440250397},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.40562647581100464},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.08478441834449768},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","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},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3359566.3360087","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3359566.3360087","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Motion, Interaction and Games","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1820081798","https://openalex.org/W1989954041","https://openalex.org/W2002440441","https://openalex.org/W2015410655","https://openalex.org/W2026201195","https://openalex.org/W2039430607","https://openalex.org/W2094689476","https://openalex.org/W2102847492","https://openalex.org/W2119567691","https://openalex.org/W2165585517","https://openalex.org/W2167052694","https://openalex.org/W2402675199","https://openalex.org/W2434014514","https://openalex.org/W2492582385","https://openalex.org/W2580495915","https://openalex.org/W2765547722","https://openalex.org/W2809461852","https://openalex.org/W2891975605","https://openalex.org/W2899629811","https://openalex.org/W2901836629","https://openalex.org/W2955302306","https://openalex.org/W2962787969","https://openalex.org/W2963722165","https://openalex.org/W2963821308","https://openalex.org/W2963930274","https://openalex.org/W2997437965","https://openalex.org/W4255056845"],"related_works":["https://openalex.org/W4387497383","https://openalex.org/W3183948672","https://openalex.org/W3173606202","https://openalex.org/W3110381201","https://openalex.org/W2948807893","https://openalex.org/W2935909890","https://openalex.org/W2778153218","https://openalex.org/W2758277628","https://openalex.org/W1531601525","https://openalex.org/W2047027848"],"abstract_inverted_index":{"Crowd":[0],"simulation,":[1],"the":[2,5,29,47,53,69,101,173],"study":[3],"of":[4,7,31,72,121,132],"movement":[6,30],"multiple":[8],"agents":[9,33],"in":[10,23,34,186,214],"complex":[11,155],"environments,":[12],"presents":[13],"a":[14,92,108],"unique":[15],"application":[16],"domain":[17],"for":[18,126,169],"machine":[19],"learning.":[20],"One":[21],"challenge":[22],"crowd":[24,128,193],"simulation":[25],"is":[26,96],"to":[27,86,178,189,209],"imitate":[28,190],"expert":[32,44],"highly":[35],"dense":[36],"crowds.":[37,217],"An":[38],"imitation":[39,94],"model":[40,48,95],"could":[41],"substitute":[42],"an":[43],"agent":[45],"if":[46],"behaves":[49],"as":[50,52],"good":[51],"expert.":[54],"This":[55],"will":[56],"bring":[57],"many":[58],"exciting":[59],"applications.":[60],"However,":[61],"we":[62],"believe":[63],"no":[64],"prior":[65],"studies":[66],"have":[67],"considered":[68],"critical":[70],"question":[71],"how":[73],"training":[74,77,105,148,156,159],"data":[75,122],"and":[76,135,164],"methods":[78,149],"affect":[79],"imitators":[80],"when":[81,172],"these":[82],"models":[83,175,185,203],"are":[84,150,167,176],"applied":[85,177],"novel":[87],"scenarios.":[88,180],"In":[89],"this":[90],"work,":[91],"general":[93],"represented":[97],"by":[98],"applying":[99],"either":[100],"Behavior":[102],"Cloning":[103],"(BC)":[104],"method":[106],"or":[107],"more":[109,154],"sophisticated":[110],"Generative":[111],"Adversarial":[112],"Imitation":[113],"Learning":[114],"(GAIL)":[115],"method,":[116],"on":[117,205],"three":[118],"typical":[119],"types":[120],"domains:":[123],"standard":[124],"benchmarks":[125],"evaluating":[127],"models,":[129],"random":[130],"sampling":[131],"state-action":[133],"pairs,":[134],"egocentric":[136],"scenarios":[137,207],"that":[138,145,202],"capture":[139],"local":[140],"interactions.":[141],"Simulated":[142],"results":[143],"suggest":[144],"(i)":[146],"simpler":[147],"overall":[151],"better":[152],"than":[153],"methods,":[157],"(ii)":[158],"samples":[160],"with":[161],"diverse":[162],"agent-agent":[163],"agent-obstacle":[165],"interactions":[166],"beneficial":[168],"reducing":[170],"collisions":[171],"trained":[174,204],"new":[179],"We":[181],"additionally":[182],"evaluated":[183],"our":[184],"their":[187],"ability":[188],"real":[191,215],"world":[192],"trajectories":[194],"observed":[195,213],"from":[196],"surveillance":[197],"videos.":[198],"Our":[199],"findings":[200],"indicate":[201],"representative":[206],"generalize":[208],"new,":[210],"unseen":[211],"situations":[212],"human":[216]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}