{"id":"https://openalex.org/W4308236830","doi":"https://doi.org/10.1109/icip46576.2022.9897570","title":"A Lightweight Network with Multi-Stage Feature Fusion Module for Single-View 3d Face Reconstruction","display_name":"A Lightweight Network with Multi-Stage Feature Fusion Module for Single-View 3d Face Reconstruction","publication_year":2022,"publication_date":"2022-10-16","ids":{"openalex":"https://openalex.org/W4308236830","doi":"https://doi.org/10.1109/icip46576.2022.9897570"},"language":"en","primary_location":{"id":"doi:10.1109/icip46576.2022.9897570","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip46576.2022.9897570","pdf_url":null,"source":{"id":"https://openalex.org/S4363607719","display_name":"2022 IEEE International Conference on Image Processing (ICIP)","issn_l":null,"issn":null,"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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5100378356","display_name":"Jing Wang","orcid":"https://orcid.org/0000-0001-7578-7010"},"institutions":[{"id":"https://openalex.org/I152031979","display_name":"Nanjing Normal University","ror":"https://ror.org/036trcv74","country_code":"CN","type":"education","lineage":["https://openalex.org/I152031979"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Wang","raw_affiliation_strings":["Nanjing Normal University,School of Computer and Electronic Information/School of Artificial Intelligence,China","School of Computer and Electronic Information/School of Artificial Intelligence, Nanjing Normal University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanjing Normal University,School of Computer and Electronic Information/School of Artificial Intelligence,China","institution_ids":["https://openalex.org/I152031979"]},{"raw_affiliation_string":"School of Computer and Electronic Information/School of Artificial Intelligence, Nanjing Normal University, China","institution_ids":["https://openalex.org/I152031979"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101435571","display_name":"Shikun Zhang","orcid":"https://orcid.org/0000-0002-8576-2674"},"institutions":[{"id":"https://openalex.org/I152031979","display_name":"Nanjing Normal University","ror":"https://ror.org/036trcv74","country_code":"CN","type":"education","lineage":["https://openalex.org/I152031979"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shikun Zhang","raw_affiliation_strings":["Nanjing Normal University,School of Computer and Electronic Information/School of Artificial Intelligence,China","School of Computer and Electronic Information/School of Artificial Intelligence, Nanjing Normal University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanjing Normal University,School of Computer and Electronic Information/School of Artificial Intelligence,China","institution_ids":["https://openalex.org/I152031979"]},{"raw_affiliation_string":"School of Computer and Electronic Information/School of Artificial Intelligence, Nanjing Normal University, China","institution_ids":["https://openalex.org/I152031979"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021604612","display_name":"Fengyi Song","orcid":"https://orcid.org/0000-0001-6587-3038"},"institutions":[{"id":"https://openalex.org/I152031979","display_name":"Nanjing Normal University","ror":"https://ror.org/036trcv74","country_code":"CN","type":"education","lineage":["https://openalex.org/I152031979"]},{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fengyi Song","raw_affiliation_strings":["Nanjing Normal University,School of Computer and Electronic Information/School of Artificial Intelligence,China","School of Computer and Electronic Information/School of Artificial Intelligence, Nanjing Normal University, China","School of Computer Science and Engineering, Nanjing University of Science and Technology, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanjing Normal University,School of Computer and Electronic Information/School of Artificial Intelligence,China","institution_ids":["https://openalex.org/I152031979"]},{"raw_affiliation_string":"School of Computer and Electronic Information/School of Artificial Intelligence, Nanjing Normal University, China","institution_ids":["https://openalex.org/I152031979"]},{"raw_affiliation_string":"School of Computer Science and Engineering, Nanjing University of Science and Technology, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100619501","display_name":"Ge Song","orcid":"https://orcid.org/0000-0002-2159-8203"},"institutions":[{"id":"https://openalex.org/I152031979","display_name":"Nanjing Normal University","ror":"https://ror.org/036trcv74","country_code":"CN","type":"education","lineage":["https://openalex.org/I152031979"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ge Song","raw_affiliation_strings":["Nanjing Normal University,School of Computer and Electronic Information/School of Artificial Intelligence,China","School of Computer and Electronic Information/School of Artificial Intelligence, Nanjing Normal University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanjing Normal University,School of Computer and Electronic Information/School of Artificial Intelligence,China","institution_ids":["https://openalex.org/I152031979"]},{"raw_affiliation_string":"School of Computer and Electronic Information/School of Artificial Intelligence, Nanjing Normal University, China","institution_ids":["https://openalex.org/I152031979"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101400128","display_name":"Ming Yang","orcid":"https://orcid.org/0000-0001-8936-4270"},"institutions":[{"id":"https://openalex.org/I152031979","display_name":"Nanjing Normal University","ror":"https://ror.org/036trcv74","country_code":"CN","type":"education","lineage":["https://openalex.org/I152031979"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ming Yang","raw_affiliation_strings":["Nanjing Normal University,School of Computer and Electronic Information/School of Artificial Intelligence,China","School of Computer and Electronic Information/School of Artificial Intelligence, Nanjing Normal University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanjing Normal University,School of Computer and Electronic Information/School of Artificial Intelligence,China","institution_ids":["https://openalex.org/I152031979"]},{"raw_affiliation_string":"School of Computer and Electronic Information/School of Artificial Intelligence, Nanjing Normal University, China","institution_ids":["https://openalex.org/I152031979"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1801","last_page":"1805"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","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/T11448","display_name":"Face recognition and analysis","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/T10057","display_name":"Face and Expression Recognition","score":0.9900000095367432,"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":0.9900000095367432,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8439565896987915},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7395070791244507},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.6834310293197632},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5586239695549011},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5581969022750854},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.5465039014816284},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.5315648913383484},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4950968325138092},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.48117169737815857},{"id":"https://openalex.org/keywords/cascade","display_name":"Cascade","score":0.4729321300983429},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4619596004486084},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07609057426452637}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8439565896987915},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7395070791244507},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.6834310293197632},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5586239695549011},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5581969022750854},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.5465039014816284},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.5315648913383484},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4950968325138092},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.48117169737815857},{"id":"https://openalex.org/C34146451","wikidata":"https://www.wikidata.org/wiki/Q5048094","display_name":"Cascade","level":2,"score":0.4729321300983429},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4619596004486084},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07609057426452637},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip46576.2022.9897570","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip46576.2022.9897570","pdf_url":null,"source":{"id":"https://openalex.org/S4363607719","display_name":"2022 IEEE International Conference on Image Processing (ICIP)","issn_l":null,"issn":null,"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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6299999952316284,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"},{"id":"https://openalex.org/F4320322769","display_name":"Natural Science Foundation of Jiangsu Province","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W1946919140","https://openalex.org/W2012885984","https://openalex.org/W2090321726","https://openalex.org/W2111372597","https://openalex.org/W2168722300","https://openalex.org/W2194775991","https://openalex.org/W2237250383","https://openalex.org/W2265959009","https://openalex.org/W2560722161","https://openalex.org/W2949662773","https://openalex.org/W2963163009","https://openalex.org/W2963480351","https://openalex.org/W2964014798","https://openalex.org/W2990935086","https://openalex.org/W2995982174","https://openalex.org/W3104792420","https://openalex.org/W3162918104","https://openalex.org/W3163434270"],"related_works":["https://openalex.org/W2153719181","https://openalex.org/W1971748923","https://openalex.org/W1566155057","https://openalex.org/W2060986072","https://openalex.org/W2052574922","https://openalex.org/W64588465","https://openalex.org/W3120641340","https://openalex.org/W2117825986","https://openalex.org/W3134067061","https://openalex.org/W2985118265"],"abstract_inverted_index":{"3D":[0,30,36,51,85,156],"face":[1,23,37,52,86,157,160],"reconstruction":[2,158],"has":[3],"attracted":[4],"great":[5],"attentions":[6],"of":[7,124,133,151],"researchers":[8],"from":[9],"both":[10,155],"academic":[11],"and":[12,25,53,80,103,159],"industry":[13],"for":[14,50,83,100,115,154],"its":[15],"potential":[16],"application":[17],"in":[18,138],"many":[19],"scenarios":[20],"such":[21],"as":[22,45],"alignment":[24],"recognition":[26],"across":[27],"large":[28],"poses.":[29],"Morphable":[31],"Model":[32],"which":[33,70],"reconstructs":[34],"a":[35,90,108],"through":[38],"basis":[39],"coefficients":[40,66],"prediction,":[41],"is":[42,54,71,113],"usually":[43],"adopted":[44],"the":[46,117,122,130,149],"typical":[47],"parametric":[48],"framework":[49],"suitable":[55],"to":[56],"combine":[57],"with":[58,97],"deep":[59],"learning.":[60,119],"Existing":[61],"cascade":[62],"regression":[63],"method":[64,82,153],"predicts":[65],"by":[67],"multiple":[68],"iterations,":[69],"time-consuming.":[72],"In":[73],"this":[74],"paper,":[75],"we":[76,128],"propose":[77],"an":[78],"efficient":[79],"end-to-end":[81,118],"single-view":[84],"reconstruction.":[87],"We":[88],"build":[89],"lightweight":[91],"network":[92],"based":[93],"on":[94,145],"mobile":[95],"blocks":[96],"faster":[98],"speed":[99],"parameter":[101],"extraction":[102],"smaller":[104],"model":[105],"size.":[106],"Especially,":[107],"multi-stage":[109],"feature":[110],"fusion":[111],"module":[112],"designed":[114],"enhancing":[116],"To":[120],"match":[121],"setting":[123],"input":[125],"image":[126],"size,":[127],"updated":[129],"pose":[131],"label":[132],"images":[134],"under":[135],"various":[136],"sizes":[137],"training":[139],"dataset":[140],"before":[141],"training.":[142],"Extensive":[143],"experiments":[144],"challenging":[146],"datasets":[147],"validate":[148],"efficiency":[150],"our":[152],"alignment.":[161]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
