{"id":"https://openalex.org/W4403791785","doi":"https://doi.org/10.1145/3664647.3681715","title":"TVPR: Text-to-Video Person Retrieval and a New Benchmark","display_name":"TVPR: Text-to-Video Person Retrieval and a New Benchmark","publication_year":2024,"publication_date":"2024-10-26","ids":{"openalex":"https://openalex.org/W4403791785","doi":"https://doi.org/10.1145/3664647.3681715"},"language":"en","primary_location":{"id":"doi:10.1145/3664647.3681715","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3664647.3681715","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 32nd 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/A5100555144","display_name":"Xu Zhang","orcid":"https://orcid.org/0009-0005-0108-1732"},"institutions":[{"id":"https://openalex.org/I134687103","display_name":"Nanjing Tech University","ror":"https://ror.org/03sd35x91","country_code":"CN","type":"education","lineage":["https://openalex.org/I134687103"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xu Zhang","raw_affiliation_strings":["Nanjing Tech University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Nanjing Tech University, Nanjing, China","institution_ids":["https://openalex.org/I134687103"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101292305","display_name":"Fan Ni","orcid":"https://orcid.org/0000-0002-0333-7878"},"institutions":[{"id":"https://openalex.org/I134687103","display_name":"Nanjing Tech University","ror":"https://ror.org/03sd35x91","country_code":"CN","type":"education","lineage":["https://openalex.org/I134687103"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fan Ni","raw_affiliation_strings":["Nanjing Tech University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Nanjing Tech University, Nanjing, China","institution_ids":["https://openalex.org/I134687103"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006501749","display_name":"Guan-Nan Dong","orcid":"https://orcid.org/0000-0002-1919-3258"},"institutions":[{"id":"https://openalex.org/I134687103","display_name":"Nanjing Tech University","ror":"https://ror.org/03sd35x91","country_code":"CN","type":"education","lineage":["https://openalex.org/I134687103"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guan-Nan Dong","raw_affiliation_strings":["Nanjing Tech University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Nanjing Tech University, Nanjing, China","institution_ids":["https://openalex.org/I134687103"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075167001","display_name":"Aichun Zhu","orcid":"https://orcid.org/0000-0001-6972-5534"},"institutions":[{"id":"https://openalex.org/I134687103","display_name":"Nanjing Tech University","ror":"https://ror.org/03sd35x91","country_code":"CN","type":"education","lineage":["https://openalex.org/I134687103"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Aichun Zhu","raw_affiliation_strings":["Nanjing Tech University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Nanjing Tech University, Nanjing, China","institution_ids":["https://openalex.org/I134687103"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100521783","display_name":"Jianhui Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I134687103","display_name":"Nanjing Tech University","ror":"https://ror.org/03sd35x91","country_code":"CN","type":"education","lineage":["https://openalex.org/I134687103"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianhui Wu","raw_affiliation_strings":["Nanjing Tech University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Nanjing Tech University, Nanjing, China","institution_ids":["https://openalex.org/I134687103"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048731542","display_name":"Mingcheng Ni","orcid":null},"institutions":[{"id":"https://openalex.org/I134687103","display_name":"Nanjing Tech University","ror":"https://ror.org/03sd35x91","country_code":"CN","type":"education","lineage":["https://openalex.org/I134687103"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingcheng Ni","raw_affiliation_strings":["Nanjing Tech University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Nanjing Tech University, Nanjing, China","institution_ids":["https://openalex.org/I134687103"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100387512","display_name":"Hui Liu","orcid":"https://orcid.org/0000-0001-7158-913X"},"institutions":[{"id":"https://openalex.org/I134687103","display_name":"Nanjing Tech University","ror":"https://ror.org/03sd35x91","country_code":"CN","type":"education","lineage":["https://openalex.org/I134687103"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hui Liu","raw_affiliation_strings":["Nanjing Tech University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Nanjing Tech University, Nanjing, China","institution_ids":["https://openalex.org/I134687103"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5100555144"],"corresponding_institution_ids":["https://openalex.org/I134687103"],"apc_list":null,"apc_paid":null,"fwci":0.2493,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.54545232,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"10105","last_page":"10113"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9990000128746033,"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":0.9990000128746033,"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":0.9990000128746033,"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/T11439","display_name":"Video Analysis and Summarization","score":0.9966999888420105,"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/benchmark","display_name":"Benchmark (surveying)","score":0.8060067296028137},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.783118486404419},{"id":"https://openalex.org/keywords/video-retrieval","display_name":"Video retrieval","score":0.6713342070579529},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5969006419181824},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5272958278656006},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.051485925912857056},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.046160876750946045}],"concepts":[{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.8060067296028137},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.783118486404419},{"id":"https://openalex.org/C2983174267","wikidata":"https://www.wikidata.org/wiki/Q3775098","display_name":"Video retrieval","level":2,"score":0.6713342070579529},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5969006419181824},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5272958278656006},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.051485925912857056},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.046160876750946045}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3664647.3681715","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3664647.3681715","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 32nd ACM International Conference on Multimedia","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W760855798","https://openalex.org/W1596233070","https://openalex.org/W2143017621","https://openalex.org/W2194775991","https://openalex.org/W2425121537","https://openalex.org/W2799185441","https://openalex.org/W2883429621","https://openalex.org/W2963449390","https://openalex.org/W3043840704","https://openalex.org/W3082913072","https://openalex.org/W3189221782","https://openalex.org/W3204588463","https://openalex.org/W3204887981","https://openalex.org/W3206868111","https://openalex.org/W4285606530","https://openalex.org/W4297833440","https://openalex.org/W4304014690","https://openalex.org/W4312372711","https://openalex.org/W4386065462","https://openalex.org/W4388145471","https://openalex.org/W4390872366","https://openalex.org/W4393158793"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2378211422","https://openalex.org/W4321353415","https://openalex.org/W2745001401","https://openalex.org/W2130974462","https://openalex.org/W2028665553","https://openalex.org/W2333966947","https://openalex.org/W2399947890"],"abstract_inverted_index":{"Most":[0],"existing":[1],"methods":[2],"for":[3,131,179],"text-based":[4,180],"person":[5,10,30,63,73,181],"retrieval":[6,182],"focus":[7],"on":[8,161,189],"text-to-image":[9],"retrieval.":[11],"Nevertheless,":[12],"due":[13],"to":[14,107,115,138,176,199],"the":[15,24,29,103,141,150,153,165,172],"lack":[16],"of":[17,152,167],"dynamic":[18],"information":[19,114],"provided":[20],"by":[21],"isolated":[22,40],"frames,":[23],"performance":[25,188],"is":[26,31,56,171],"hampered":[27],"when":[28],"obscured":[32],"or":[33,59],"variable":[34,121],"motion":[35,122],"details":[36],"are":[37],"missed":[38],"in":[39],"frames.":[41],"To":[42,148,164],"overcome":[43],"this,":[44],"we":[45,68,91,125],"propose":[46],"a":[47,70,93],"novel":[48],"Text-to-Video":[49,83],"Person":[50,84],"Retrieval":[51],"(TVPR)":[52],"task.":[53],"Since":[54],"there":[55],"no":[57],"dataset":[58,75,194],"benchmark":[60],"that":[61],"describes":[62],"videos":[64],"with":[65],"natural":[66,78],"language,":[67],"construct":[69],"large-scale":[71],"cross-modal":[72,104,129],"video":[74,134,178],"containing":[76],"detailed":[77],"language":[79],"annotations,":[80],"termed":[81],"as":[82],"Reidentification":[85],"(TVPReid)":[86],"dataset.":[87,163,191],"In":[88],"this":[89],"paper,":[90],"introduce":[92],"Multielement":[94],"Feature":[95],"Guided":[96],"Fragments":[97],"Learning":[98],"(MFGF)":[99],"strategy,":[100],"which":[101],"leverages":[102],"text-video":[105],"representations":[106],"provide":[108],"strong":[109],"text-visual":[110],"and":[111,120,133,146,184],"text-motion":[112],"matching":[113],"tackle":[116],"uncertain":[117],"occlusion":[118],"conflicting":[119],"details.":[123],"Specifically,":[124],"establish":[126],"two":[127],"potential":[128],"spaces":[130],"text":[132,145],"feature":[135],"collaborative":[136],"learning":[137],"progressively":[139],"reduce":[140],"semantic":[142],"difference":[143],"between":[144],"video.":[147],"evaluate":[149],"effectiveness":[151],"proposed":[154],"MFGF,":[155],"extensive":[156],"experiments":[157],"have":[158],"been":[159],"conducted":[160],"TVPReid":[162,190,193],"best":[166],"our":[168],"knowledge,":[169],"MFGF":[170],"first":[173],"successful":[174],"attempt":[175],"use":[177],"task":[183],"has":[185],"achieved":[186],"state-of-the-art":[187],"The":[192],"will":[195],"be":[196],"publicly":[197],"available":[198],"benefit":[200],"future":[201],"research.":[202]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
