{"id":"https://openalex.org/W2982008925","doi":"https://doi.org/10.1145/3343031.3356050","title":"ResidualDenseNetwork: A Simple Approach for Video Person Identification","display_name":"ResidualDenseNetwork: A Simple Approach for Video Person Identification","publication_year":2019,"publication_date":"2019-10-15","ids":{"openalex":"https://openalex.org/W2982008925","doi":"https://doi.org/10.1145/3343031.3356050","mag":"2982008925"},"language":"en","primary_location":{"id":"doi:10.1145/3343031.3356050","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3343031.3356050","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 27th 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/A5101528257","display_name":"Zixuan Huang","orcid":"https://orcid.org/0000-0002-5028-4684"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zixuan Huang","raw_affiliation_strings":["Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019114101","display_name":"Yuan Chang","orcid":"https://orcid.org/0000-0003-4314-1017"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuan Chang","raw_affiliation_strings":["Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045347651","display_name":"Weizhao Chen","orcid":"https://orcid.org/0000-0003-2482-1906"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weizhao Chen","raw_affiliation_strings":["Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051156653","display_name":"Qiwei Shen","orcid":"https://orcid.org/0009-0000-9904-6233"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiwei Shen","raw_affiliation_strings":["Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055685073","display_name":"Jianxin Liao","orcid":"https://orcid.org/0000-0003-1486-0573"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianxin Liao","raw_affiliation_strings":["Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I139759216"],"apc_list":null,"apc_paid":null,"fwci":0.2032,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.55285948,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"2521","last_page":"2525"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.9998000264167786,"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/T11448","display_name":"Face recognition and analysis","score":0.9998000264167786,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9983999729156494,"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":0.9970999956130981,"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":0.8330816030502319},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.688088059425354},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6666557788848877},{"id":"https://openalex.org/keywords/flops","display_name":"FLOPS","score":0.5796934366226196},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5717196464538574},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5256277918815613},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.501760721206665},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.48572832345962524},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.4634169936180115},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4029672145843506},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.12334942817687988},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.0794420838356018}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8330816030502319},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.688088059425354},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6666557788848877},{"id":"https://openalex.org/C3826847","wikidata":"https://www.wikidata.org/wiki/Q188768","display_name":"FLOPS","level":2,"score":0.5796934366226196},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5717196464538574},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5256277918815613},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.501760721206665},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.48572832345962524},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.4634169936180115},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4029672145843506},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.12334942817687988},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0794420838356018},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3343031.3356050","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3343031.3356050","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 27th ACM International Conference on Multimedia","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.49000000953674316,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1712035052","https://openalex.org/W2096733369","https://openalex.org/W2183341477","https://openalex.org/W2474608001","https://openalex.org/W2609296554","https://openalex.org/W2626778328","https://openalex.org/W2765407302","https://openalex.org/W2949650786","https://openalex.org/W2963671154","https://openalex.org/W2969985801","https://openalex.org/W3099206234","https://openalex.org/W4298222326"],"related_works":["https://openalex.org/W4315697128","https://openalex.org/W4382323155","https://openalex.org/W3205506801","https://openalex.org/W2971502891","https://openalex.org/W4287067436","https://openalex.org/W4280599700","https://openalex.org/W3183570023","https://openalex.org/W3102845713","https://openalex.org/W2972212393","https://openalex.org/W2132337154"],"abstract_inverted_index":{"Video":[0],"identification":[1,28,52],"is":[2,82,91,100,113],"an":[3],"important":[4],"task":[5],"in":[6,33,54,65],"the":[7,14,25,34,55,71,75,78,83,95,104,109],"practical":[8,131],"application":[9],"and":[10,22,42,103,123],"industry.":[11],"Based":[12],"on":[13,20,74],"iQIYI-VID-2019":[15],"dataset,":[16],"ACM":[17],"International":[18],"Conference":[19],"Multimedia":[21],"iQIYI":[23],"co-hosted":[24],"celebrity":[26],"video":[27,51],"challenge.":[29],"We":[30],"take":[31],"part":[32],"competition,":[35],"propose":[36],"a":[37,44,129],"new":[38],"feature":[39],"fusion":[40],"method":[41,120],"design":[43],"residual":[45],"dense":[46],"network":[47],"which":[48,69,127],"can":[49],"improve":[50],"performance":[53],"complex":[56],"scenes.":[57],"Only":[58],"with":[59,87],"face":[60],"features,":[61],"we":[62],"achieve":[63],"0.9035":[64],"mean":[66],"Average":[67],"Precision(mAP)":[68],"win":[70],"second":[72],"place":[73],"leadboard.":[76],"At":[77],"same":[79],"time,":[80],"it":[81],"best":[84],"score":[85],"only":[86,101,114],"official":[88],"features.":[89],"It":[90],"worth":[92],"mention":[93],"that":[94],"flops":[96],"of":[97],"our":[98],"model":[99],"0.5G":[102],"time":[105],"required":[106],"to":[107],"predict":[108],"entire":[110],"test":[111],"dataset":[112],"2":[115],"sim":[116],"5":[117],"minutes.":[118],"Our":[119],"takes":[121],"accuracy":[122],"speed":[124],"into":[125],"account,":[126],"has":[128],"strong":[130],"significance.":[132]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}
