{"id":"https://openalex.org/W2765137706","doi":"https://doi.org/10.1145/3123266.3123380","title":"Video Visual Relation Detection","display_name":"Video Visual Relation Detection","publication_year":2017,"publication_date":"2017-10-19","ids":{"openalex":"https://openalex.org/W2765137706","doi":"https://doi.org/10.1145/3123266.3123380","mag":"2765137706"},"language":"en","primary_location":{"id":"doi:10.1145/3123266.3123380","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3123266.3123380","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 25th ACM international conference on Multimedia","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/A5017342089","display_name":"Xindi Shang","orcid":"https://orcid.org/0000-0002-9308-2927"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":true,"raw_author_name":"Xindi Shang","raw_affiliation_strings":["National University of Singapore, Singapore, Singapore"],"affiliations":[{"raw_affiliation_string":"National University of Singapore, Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084591510","display_name":"Tongwei Ren","orcid":"https://orcid.org/0000-0003-3092-424X"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tongwei Ren","raw_affiliation_strings":["Nanjing University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Nanjing University, Nanjing, China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100555539","display_name":"Jingfan Guo","orcid":null},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingfan Guo","raw_affiliation_strings":["Nanjing University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Nanjing University, Nanjing, China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042324027","display_name":"Hanwang Zhang","orcid":"https://orcid.org/0000-0001-7374-8739"},"institutions":[{"id":"https://openalex.org/I78577930","display_name":"Columbia University","ror":"https://ror.org/00hj8s172","country_code":"US","type":"education","lineage":["https://openalex.org/I78577930"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hanwang Zhang","raw_affiliation_strings":["Columbia University, New York, NY, USA"],"affiliations":[{"raw_affiliation_string":"Columbia University, New York, NY, USA","institution_ids":["https://openalex.org/I78577930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089404640","display_name":"Tat\u2010Seng Chua","orcid":"https://orcid.org/0000-0001-6097-7807"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Tat-Seng Chua","raw_affiliation_strings":["National University of Singapore, Singapore, Singapore"],"affiliations":[{"raw_affiliation_string":"National University of Singapore, Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5017342089"],"corresponding_institution_ids":["https://openalex.org/I165932596"],"apc_list":null,"apc_paid":null,"fwci":3.2435,"has_fulltext":false,"cited_by_count":145,"citation_normalized_percentile":{"value":0.95464568,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1300","last_page":"1308"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":1.0,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":1.0,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9995999932289124,"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":0.9993000030517578,"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":0.8127094507217407},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.7290068864822388},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6785373091697693},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6012424230575562},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5370487570762634},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5359939336776733},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.47610506415367126},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.46159598231315613},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.4340224862098694},{"id":"https://openalex.org/keywords/predicate","display_name":"Predicate (mathematical logic)","score":0.41498613357543945},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3081703186035156},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.13627183437347412}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8127094507217407},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.7290068864822388},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6785373091697693},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6012424230575562},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5370487570762634},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5359939336776733},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.47610506415367126},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.46159598231315613},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.4340224862098694},{"id":"https://openalex.org/C140146324","wikidata":"https://www.wikidata.org/wiki/Q1144319","display_name":"Predicate (mathematical logic)","level":2,"score":0.41498613357543945},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3081703186035156},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.13627183437347412},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3123266.3123380","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3123266.3123380","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 25th ACM international conference on Multimedia","raw_type":"proceedings-article"},{"id":"pmh:oai:scholarbank.nus.edu.sg:10635/167294","is_oa":false,"landing_page_url":"https://scholarbank.nus.edu.sg/handle/10635/167294","pdf_url":null,"source":{"id":"https://openalex.org/S7407052290","display_name":"National University of Singapore","issn_l":null,"issn":[],"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":"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","score":0.550000011920929,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W1211924006","https://openalex.org/W1531192956","https://openalex.org/W1559046793","https://openalex.org/W1799366690","https://openalex.org/W1861492603","https://openalex.org/W1933349210","https://openalex.org/W1944615693","https://openalex.org/W1997121481","https://openalex.org/W2004142309","https://openalex.org/W2004236981","https://openalex.org/W2029946408","https://openalex.org/W2033446283","https://openalex.org/W2042041679","https://openalex.org/W2049705550","https://openalex.org/W2083049794","https://openalex.org/W2105101328","https://openalex.org/W2111078031","https://openalex.org/W2117539524","https://openalex.org/W2125436662","https://openalex.org/W2139542205","https://openalex.org/W2156303437","https://openalex.org/W2194775991","https://openalex.org/W2277195237","https://openalex.org/W2295615964","https://openalex.org/W2317413155","https://openalex.org/W2322020277","https://openalex.org/W2463955103","https://openalex.org/W2479423890","https://openalex.org/W2507365558","https://openalex.org/W2518253596","https://openalex.org/W2521365688","https://openalex.org/W2523923895","https://openalex.org/W2523937091","https://openalex.org/W2526273376","https://openalex.org/W2591644541","https://openalex.org/W2605736949","https://openalex.org/W2751514133","https://openalex.org/W2952020101","https://openalex.org/W2953106684","https://openalex.org/W2963037989","https://openalex.org/W2963650529","https://openalex.org/W2963899139","https://openalex.org/W2963980128","https://openalex.org/W3100935401","https://openalex.org/W6600281463"],"related_works":["https://openalex.org/W4234874385","https://openalex.org/W2323648130","https://openalex.org/W2157140558","https://openalex.org/W2362939901","https://openalex.org/W2734554632","https://openalex.org/W2379200451","https://openalex.org/W2356257939","https://openalex.org/W4292830139","https://openalex.org/W2965594636","https://openalex.org/W2912550626"],"abstract_inverted_index":{"As":[0,61],"a":[1,26,39,68,124],"bridge":[2],"to":[3,49,63,105,158],"connect":[4],"vision":[5,41],"and":[6,23,85,87,112,136],"language,":[7],"visual":[8,29,51,76,156],"relations":[9,82,90],"between":[10],"objects":[11],"in":[12,54,108,116,172],"the":[13,80,106,143,169,175],"form":[14],"of":[15,57,72,129],"relation":[16,52,114,134],"triplet":[17],"$\u0142angle":[18],"subject,predicate,object\\rangle$,":[19],"such":[20,78],"as":[21,79],"\"person-touch-dog''":[22],"\"cat-above-sofa'',":[24],"provide":[25,67],"more":[27,69,100],"comprehensive":[28],"content":[30],"understanding":[31],"beyond":[32],"objects.":[33],"In":[34],"this":[35,120,164],"paper,":[36],"we":[37,122,141],"propose":[38,123],"novel":[40],"task":[42],"named":[43],"Video":[44],"Visual":[45],"Relation":[46],"Detection":[47],"(VidVRD)":[48],"perform":[50],"detection":[53],"videos":[55,66,152],"instead":[56],"still":[58,64],"images":[59],"(ImgVRD).":[60],"compared":[62],"images,":[65],"natural":[70],"set":[71],"features":[73],"for":[74,146],"detecting":[75],"relations,":[77,157],"dynamic":[81],"like":[83,91],"\"A-follow-B''":[84],"\"A-towards-B'',":[86],"temporally":[88],"changing":[89],"\"A-chase-B''":[92],"followed":[93],"by":[94],"\"A-hold-B''.":[95],"However,":[96],"VidVRD":[97,125,147],"is":[98],"technically":[99],"challenging":[101],"than":[102],"ImgVRD":[103],"due":[104],"difficulties":[107],"accurate":[109],"object":[110,130],"tracking":[111],"diverse":[113],"appearances":[115],"video":[117],"domain.":[118],"To":[119],"end,":[121],"method,":[126],"which":[127,149],"consists":[128],"tracklet":[131],"proposal,":[132],"short-term":[133],"prediction":[135],"greedy":[137],"relational":[138],"association.":[139],"Moreover,":[140],"contribute":[142],"first":[144],"dataset":[145],"evaluation,":[148],"contains":[150],"1,000":[151],"with":[153,174],"manually":[154],"labeled":[155],"validate":[159],"our":[160,166],"proposed":[161],"method.":[162],"On":[163],"dataset,":[165],"method":[167],"achieves":[168],"best":[170],"performance":[171],"comparison":[173],"state-of-the-art":[176],"baselines.":[177]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":15},{"year":2024,"cited_by_count":23},{"year":2023,"cited_by_count":28},{"year":2022,"cited_by_count":16},{"year":2021,"cited_by_count":26},{"year":2020,"cited_by_count":11},{"year":2019,"cited_by_count":19},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":1}],"updated_date":"2026-04-02T15:55:50.835912","created_date":"2025-10-10T00:00:00"}
