{"id":"https://openalex.org/W4372342732","doi":"https://doi.org/10.1109/icassp49357.2023.10095913","title":"Learning Expressive And Generalizable Motion Features For Face Forgery Detection","display_name":"Learning Expressive And Generalizable Motion Features For Face Forgery Detection","publication_year":2023,"publication_date":"2023-05-05","ids":{"openalex":"https://openalex.org/W4372342732","doi":"https://doi.org/10.1109/icassp49357.2023.10095913"},"language":"en","primary_location":{"id":"doi:10.1109/icassp49357.2023.10095913","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49357.2023.10095913","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5100458628","display_name":"Jingyi Zhang","orcid":"https://orcid.org/0000-0002-8172-5104"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Jingyi Zhang","raw_affiliation_strings":["Hikvision Research Institute"],"affiliations":[{"raw_affiliation_string":"Hikvision Research Institute","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100364062","display_name":"Peng Zhang","orcid":"https://orcid.org/0000-0001-9428-9340"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Peng Zhang","raw_affiliation_strings":["Hikvision Research Institute"],"affiliations":[{"raw_affiliation_string":"Hikvision Research Institute","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100426898","display_name":"Jingjing Wang","orcid":"https://orcid.org/0000-0003-3170-8952"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jingjing Wang","raw_affiliation_strings":["Hikvision Research Institute"],"affiliations":[{"raw_affiliation_string":"Hikvision Research Institute","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100636142","display_name":"Di Xie","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Di Xie","raw_affiliation_strings":["Hikvision Research Institute"],"affiliations":[{"raw_affiliation_string":"Hikvision Research Institute","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085955762","display_name":"Shiliang Pu","orcid":"https://orcid.org/0000-0001-5269-7821"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shiliang Pu","raw_affiliation_strings":["Hikvision Research Institute"],"affiliations":[{"raw_affiliation_string":"Hikvision Research Institute","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100458628"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.6073,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.68254279,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.998199999332428,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.998199999332428,"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":0.998199999332428,"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/T11448","display_name":"Face recognition and analysis","score":0.9943000078201294,"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":0.835239052772522},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7388767004013062},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.7031494975090027},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.6285788416862488},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6241975426673889},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.6014927625656128},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.5944006443023682},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.5883078575134277},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.5557992458343506},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5422426462173462},{"id":"https://openalex.org/keywords/face-detection","display_name":"Face detection","score":0.4885738790035248},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.44926708936691284},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.42427805066108704},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.35662758350372314},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.06337177753448486}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.835239052772522},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7388767004013062},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.7031494975090027},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.6285788416862488},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6241975426673889},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.6014927625656128},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.5944006443023682},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.5883078575134277},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.5557992458343506},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5422426462173462},{"id":"https://openalex.org/C4641261","wikidata":"https://www.wikidata.org/wiki/Q11681085","display_name":"Face detection","level":4,"score":0.4885738790035248},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.44926708936691284},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.42427805066108704},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35662758350372314},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.06337177753448486},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp49357.2023.10095913","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49357.2023.10095913","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.6600000262260437}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W1522734439","https://openalex.org/W2115252128","https://openalex.org/W2507009361","https://openalex.org/W2531409750","https://openalex.org/W2911424785","https://openalex.org/W2955425717","https://openalex.org/W2963155035","https://openalex.org/W2963524571","https://openalex.org/W2981385151","https://openalex.org/W2982058372","https://openalex.org/W3012472557","https://openalex.org/W3034196597","https://openalex.org/W3034713808","https://openalex.org/W3034900344","https://openalex.org/W3037967553","https://openalex.org/W3092879151","https://openalex.org/W3094728142","https://openalex.org/W3108854358","https://openalex.org/W3158353280","https://openalex.org/W3173317327","https://openalex.org/W3174508664","https://openalex.org/W4287634710","https://openalex.org/W4287752100","https://openalex.org/W4313127140","https://openalex.org/W6677618333","https://openalex.org/W6724944384","https://openalex.org/W6762718338","https://openalex.org/W6784158974","https://openalex.org/W6791449262"],"related_works":["https://openalex.org/W4389116644","https://openalex.org/W2336272890","https://openalex.org/W4308999381","https://openalex.org/W3183843611","https://openalex.org/W4312238398","https://openalex.org/W3211418293","https://openalex.org/W4308999963","https://openalex.org/W4312081214","https://openalex.org/W2059356388","https://openalex.org/W325114128"],"abstract_inverted_index":{"Previous":[0],"face":[1,23,52,58,77,155],"forgery":[2,53,59,88,156],"detection":[3,60,89,134],"methods":[4,25,61],"mainly":[5],"focus":[6],"on":[7,30,45,92,152],"appearance":[8],"features,":[9],"which":[10,34,68],"may":[11],"be":[12],"easily":[13],"attacked":[14],"by":[15],"sophisticated":[16],"manipulation.":[17],"Considering":[18],"the":[19,70,100,117,124],"majority":[20],"of":[21,116],"current":[22,56],"manipulation":[24,78,106],"generate":[26],"fake":[27],"faces":[28],"based":[29,91],"a":[31,144],"single":[32],"frame,":[33],"do":[35],"not":[36],"take":[37],"frame":[38,46],"consistency":[39,113],"and":[40,72],"coordination":[41],"into":[42],"consideration,":[43],"artifacts":[44],"sequences":[47],"are":[48],"more":[49,103,127],"effective":[50,86],"for":[51,76,105],"detection.":[54,79],"However,":[55],"sequence-based":[57,87],"use":[62],"general":[63,145],"video":[64,95,146],"classification":[65,96,147],"networks":[66],"directly,":[67],"discard":[69],"special":[71],"discriminative":[73],"motion":[74,101,112,119],"information":[75],"To":[80,98,122],"this":[81],"end,":[82],"we":[83,108,129,142],"propose":[84,109,130],"an":[85,93,110,131],"framework":[90],"existing":[94],"method.":[97],"make":[99,123,143],"features":[102,120,126],"expressive":[104],"detection,":[107],"alternative":[111],"block":[114],"instead":[115],"original":[118],"module.":[121],"learned":[125],"generalizable,":[128],"auxiliary":[132],"anomaly":[133],"block.":[135],"With":[136],"these":[137],"two":[138],"specially":[139],"designed":[140],"improvements,":[141],"network":[148],"achieve":[149],"promising":[150],"results":[151],"three":[153],"popular":[154],"datasets.":[157]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}