{"id":"https://openalex.org/W2981378479","doi":"https://doi.org/10.1145/3343031.3356056","title":"Make the Best of Face Clues in iQIYI Celebrity VideoIdentification Challenge 2019","display_name":"Make the Best of Face Clues in iQIYI Celebrity VideoIdentification Challenge 2019","publication_year":2019,"publication_date":"2019-10-15","ids":{"openalex":"https://openalex.org/W2981378479","doi":"https://doi.org/10.1145/3343031.3356056","mag":"2981378479"},"language":"en","primary_location":{"id":"doi:10.1145/3343031.3356056","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3343031.3356056","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/A5056154880","display_name":"Xi Fang","orcid":"https://orcid.org/0000-0002-3202-8708"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xi Fang","raw_affiliation_strings":["Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101468895","display_name":"Ying Zou","orcid":"https://orcid.org/0000-0002-5335-0261"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ying Zou","raw_affiliation_strings":["Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5056154880"],"corresponding_institution_ids":["https://openalex.org/I183067930"],"apc_list":null,"apc_paid":null,"fwci":0.3037,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.61122293,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"2526","last_page":"2530"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.9998999834060669,"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":0.9998999834060669,"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/T10828","display_name":"Biometric Identification and Security","score":0.9954000115394592,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.9948999881744385,"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":0.8157051801681519},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.725180983543396},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.6299935579299927},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.5754081606864929},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5711581707000732},{"id":"https://openalex.org/keywords/modality","display_name":"Modality (human\u2013computer interaction)","score":0.5647671222686768},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5528876781463623},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5352006554603577},{"id":"https://openalex.org/keywords/face-detection","display_name":"Face detection","score":0.47995737195014954},{"id":"https://openalex.org/keywords/video-quality","display_name":"Video quality","score":0.47958555817604065},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.47816237807273865},{"id":"https://openalex.org/keywords/modal","display_name":"Modal","score":0.47550520300865173},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.46164053678512573},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.4364716708660126},{"id":"https://openalex.org/keywords/object-class-detection","display_name":"Object-class detection","score":0.4223910868167877},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.41787058115005493},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.057929396629333496}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8157051801681519},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.725180983543396},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.6299935579299927},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.5754081606864929},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5711581707000732},{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.5647671222686768},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5528876781463623},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5352006554603577},{"id":"https://openalex.org/C4641261","wikidata":"https://www.wikidata.org/wiki/Q11681085","display_name":"Face detection","level":4,"score":0.47995737195014954},{"id":"https://openalex.org/C103910844","wikidata":"https://www.wikidata.org/wiki/Q2631256","display_name":"Video quality","level":3,"score":0.47958555817604065},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.47816237807273865},{"id":"https://openalex.org/C71139939","wikidata":"https://www.wikidata.org/wiki/Q910194","display_name":"Modal","level":2,"score":0.47550520300865173},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.46164053678512573},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.4364716708660126},{"id":"https://openalex.org/C71681937","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object-class detection","level":5,"score":0.4223910868167877},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.41787058115005493},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.057929396629333496},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"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/C188027245","wikidata":"https://www.wikidata.org/wiki/Q750446","display_name":"Polymer chemistry","level":1,"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/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","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/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"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/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3343031.3356056","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3343031.3356056","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":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W2544587078","https://openalex.org/W2584637367","https://openalex.org/W2620629206","https://openalex.org/W2784163702","https://openalex.org/W2951019013","https://openalex.org/W2962898354","https://openalex.org/W2963011882","https://openalex.org/W2963351448","https://openalex.org/W2963466847","https://openalex.org/W2969985801","https://openalex.org/W3103152812","https://openalex.org/W4213009331","https://openalex.org/W4299653752","https://openalex.org/W4301409532"],"related_works":["https://openalex.org/W2181570714","https://openalex.org/W3033332270","https://openalex.org/W1581632702","https://openalex.org/W212313038","https://openalex.org/W2336272890","https://openalex.org/W3211418293","https://openalex.org/W325114128","https://openalex.org/W3183843611","https://openalex.org/W4308999381","https://openalex.org/W4308999963"],"abstract_inverted_index":{"iQIYI-VID-2019":[0,135],"is":[1,11,23,33,126,151],"the":[2,31,72,145,152],"largest":[3],"video":[4,17,42,106],"dataset":[5],"for":[6,27],"multi-modal":[7,64],"person":[8,28,65],"identification.":[9],"It":[10],"composed":[12],"of":[13,19,54,74,83,148],"more":[14],"than":[15],"200k":[16],"clips":[18],"10,034":[20],"celebrities.":[21],"Face":[22],"a":[24,41,52,104,114],"critical":[25],"clue":[26],"identification":[29],"when":[30],"face":[32,38,75,84,96,107,116,131],"visible":[34],"in":[35,40,95,111,122,155],"video.":[36],"However":[37],"quality":[39,88],"may":[43],"not":[44,69,79],"always":[45],"be":[46],"good,":[47],"and":[48,59,87,119],"it":[49],"also":[50],"contains":[51],"lot":[53],"noise":[55],"caused":[56],"by":[57,134],"detection":[58,85],"feature":[60,108,117],"extraction.":[61],"Meanwhile,":[62],"conventional":[63],"classification":[66],"methods":[67],"do":[68,78],"fully":[70],"exploit":[71],"ability":[73],"modality.":[76,97],"They":[77],"make":[80],"full":[81],"use":[82],"confidence":[86],"evaluation":[89],"indicators,":[90],"which":[91,150],"are":[92],"key":[93],"information":[94],"To":[98],"address":[99],"these":[100],"issues,":[101],"we":[102,142],"develop":[103],"quality-based":[105,115],"fusion":[109],"method":[110,121],"inference":[112],"with":[113],"denoising":[118],"augmentation":[120],"training.":[123],"Our":[124],"approach":[125],"only":[127],"based":[128],"on":[129],"512-dimensional":[130],"features":[132],"provided":[133],"dataset.":[136],"Utilizing":[137],"our":[138],"proposed":[139],"novel":[140],"method,":[141],"have":[143],"achieved":[144],"mAP":[146],"score":[147],"89.83%":[149],"4th":[153],"place":[154],"iQIYI":[156],"Celebrity":[157],"Video":[158],"Identification":[159],"Challenge":[160],"2019.":[161]},"counts_by_year":[{"year":2022,"cited_by_count":2},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}