{"id":"https://openalex.org/W4200092042","doi":"https://doi.org/10.1145/3478513.3480478","title":"Synthesizing scene-aware virtual reality teleport graphs","display_name":"Synthesizing scene-aware virtual reality teleport graphs","publication_year":2021,"publication_date":"2021-12-01","ids":{"openalex":"https://openalex.org/W4200092042","doi":"https://doi.org/10.1145/3478513.3480478"},"language":"en","primary_location":{"id":"doi:10.1145/3478513.3480478","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3478513.3480478","pdf_url":null,"source":{"id":"https://openalex.org/S185367456","display_name":"ACM Transactions on Graphics","issn_l":"0730-0301","issn":["0730-0301","1557-7368"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Graphics","raw_type":"journal-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/A5101569536","display_name":"Changyang Li","orcid":"https://orcid.org/0000-0002-0074-3889"},"institutions":[{"id":"https://openalex.org/I162714631","display_name":"George Mason University","ror":"https://ror.org/02jqj7156","country_code":"US","type":"education","lineage":["https://openalex.org/I162714631"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Changyang Li","raw_affiliation_strings":["George Mason University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"George Mason University","institution_ids":["https://openalex.org/I162714631"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016202446","display_name":"Haikun Huang","orcid":"https://orcid.org/0000-0002-5962-0533"},"institutions":[{"id":"https://openalex.org/I162714631","display_name":"George Mason University","ror":"https://ror.org/02jqj7156","country_code":"US","type":"education","lineage":["https://openalex.org/I162714631"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Haikun Huang","raw_affiliation_strings":["George Mason University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"George Mason University","institution_ids":["https://openalex.org/I162714631"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019967864","display_name":"Jyh\u2010Ming Lien","orcid":"https://orcid.org/0000-0002-0840-6131"},"institutions":[{"id":"https://openalex.org/I162714631","display_name":"George Mason University","ror":"https://ror.org/02jqj7156","country_code":"US","type":"education","lineage":["https://openalex.org/I162714631"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jyh-Ming Lien","raw_affiliation_strings":["George Mason University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"George Mason University","institution_ids":["https://openalex.org/I162714631"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084967276","display_name":"Lap-Fai Yu","orcid":"https://orcid.org/0000-0002-2656-5654"},"institutions":[{"id":"https://openalex.org/I162714631","display_name":"George Mason University","ror":"https://ror.org/02jqj7156","country_code":"US","type":"education","lineage":["https://openalex.org/I162714631"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lap-Fai Yu","raw_affiliation_strings":["George Mason University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"George Mason University","institution_ids":["https://openalex.org/I162714631"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101569536"],"corresponding_institution_ids":["https://openalex.org/I162714631"],"apc_list":null,"apc_paid":null,"fwci":1.3011,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.79834308,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":"40","issue":"6","first_page":"1","last_page":"15"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11904","display_name":"Spatial Cognition and Navigation","score":0.9947999715805054,"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/T11904","display_name":"Spatial Cognition and Navigation","score":0.9947999715805054,"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":0.9940999746322632,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9939000010490417,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7768726348876953},{"id":"https://openalex.org/keywords/virtual-reality","display_name":"Virtual reality","score":0.5365223288536072},{"id":"https://openalex.org/keywords/encode","display_name":"ENCODE","score":0.5228652954101562},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.4901798367500305},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47188010811805725},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.4476449191570282},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4378434419631958},{"id":"https://openalex.org/keywords/scene-graph","display_name":"Scene graph","score":0.43723323941230774},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.42990708351135254},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3710378408432007},{"id":"https://openalex.org/keywords/rendering","display_name":"Rendering (computer graphics)","score":0.35060417652130127},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3136783838272095}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7768726348876953},{"id":"https://openalex.org/C194969405","wikidata":"https://www.wikidata.org/wiki/Q170519","display_name":"Virtual reality","level":2,"score":0.5365223288536072},{"id":"https://openalex.org/C66746571","wikidata":"https://www.wikidata.org/wiki/Q1134833","display_name":"ENCODE","level":3,"score":0.5228652954101562},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.4901798367500305},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47188010811805725},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.4476449191570282},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4378434419631958},{"id":"https://openalex.org/C179372163","wikidata":"https://www.wikidata.org/wiki/Q1406181","display_name":"Scene graph","level":3,"score":0.43723323941230774},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.42990708351135254},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3710378408432007},{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.35060417652130127},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3136783838272095},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3478513.3480478","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3478513.3480478","pdf_url":null,"source":{"id":"https://openalex.org/S185367456","display_name":"ACM Transactions on Graphics","issn_l":"0730-0301","issn":["0730-0301","1557-7368"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Graphics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4391848516","display_name":null,"funder_award_id":"1942531","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W1556779599","https://openalex.org/W1980867644","https://openalex.org/W1997781091","https://openalex.org/W2017718675","https://openalex.org/W2031144777","https://openalex.org/W2106706098","https://openalex.org/W2128272608","https://openalex.org/W2142498761","https://openalex.org/W2194775991","https://openalex.org/W2234777211","https://openalex.org/W2343593707","https://openalex.org/W2463843416","https://openalex.org/W2467598065","https://openalex.org/W2492608700","https://openalex.org/W2531274777","https://openalex.org/W2565639579","https://openalex.org/W2604923864","https://openalex.org/W2756587262","https://openalex.org/W2790013909","https://openalex.org/W2798622261","https://openalex.org/W2810491376","https://openalex.org/W2888096830","https://openalex.org/W2889088344","https://openalex.org/W2895696451","https://openalex.org/W2902942935","https://openalex.org/W2904462746","https://openalex.org/W2941552432","https://openalex.org/W2953127211","https://openalex.org/W2958281930","https://openalex.org/W2960202457","https://openalex.org/W2962844592","https://openalex.org/W2964339842","https://openalex.org/W2979397360","https://openalex.org/W2985331920","https://openalex.org/W2997351115","https://openalex.org/W3004556422","https://openalex.org/W3009259128","https://openalex.org/W3034951775","https://openalex.org/W6944946925"],"related_works":["https://openalex.org/W2468279273","https://openalex.org/W2354198838","https://openalex.org/W1989130879","https://openalex.org/W2103419012","https://openalex.org/W2988126442","https://openalex.org/W1974414866","https://openalex.org/W2186557420","https://openalex.org/W2162375452","https://openalex.org/W4392007279","https://openalex.org/W4387129494"],"abstract_inverted_index":{"We":[0,60,117,149],"present":[1],"a":[2,62,87,105,131],"novel":[3],"approach":[4,25,84,120,153],"for":[5,121,125],"synthesizing":[6,122],"scene-aware":[7],"virtual":[8,17,114,142],"reality":[9],"teleport":[10,22,31,74,91,106,109,123,147],"graphs,":[11,37,110],"which":[12,38],"facilitate":[13],"navigation":[14,96],"in":[15],"indoor":[16,127],"environments":[18,115,143],"by":[19,33],"suggesting":[20],"desirable":[21,53,90],"positions.":[23,75],"Our":[24],"analyzes":[26],"panoramic":[27],"views":[28,55],"at":[29,56],"candidate":[30],"positions":[32,58,92],"extracting":[34],"scene":[35,40,69],"perception":[36,41,70],"encode":[39],"relationships":[42],"between":[43],"the":[44,47,54,68,136,145],"observer":[45],"and":[46,50,101,138,161],"surrounding":[48],"objects,":[49],"predict":[51,67],"how":[52],"these":[57],"are.":[59],"train":[61],"graph":[63],"convolutional":[64],"model":[65],"to":[66,85,103,154],"scores":[71],"of":[72,89,140],"different":[73,157],"Based":[76],"on":[77],"such":[78,98],"predictions,":[79],"we":[80,134],"apply":[81],"an":[82],"optimization":[83],"sample":[86],"set":[88],"while":[93],"considering":[94],"other":[95],"properties":[97],"as":[99],"coverage":[100],"connectivity":[102],"synthesize":[104],"graph.":[107],"Using":[108],"users":[111],"can":[112],"navigate":[113],"efficaciously.":[116],"demonstrate":[118],"our":[119,152],"graphs":[124],"common":[126],"scenes.":[128],"By":[129],"conducting":[130],"user":[132,159],"study,":[133],"validate":[135],"efficacy":[137],"desirability":[139],"navigating":[141],"via":[144],"synthesized":[146],"graphs.":[148],"also":[150],"extend":[151],"cope":[155],"with":[156],"constraints,":[158],"preferences,":[160],"practical":[162],"scenarios.":[163]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":4}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
