{"id":"https://openalex.org/W4402979812","doi":"https://doi.org/10.1109/icme57554.2024.10687500","title":"LMGSNet: A Lightweight Multi-scale Group Shift Fusion Network for Low-quality 3D Face Recognition","display_name":"LMGSNet: A Lightweight Multi-scale Group Shift Fusion Network for Low-quality 3D Face Recognition","publication_year":2024,"publication_date":"2024-07-15","ids":{"openalex":"https://openalex.org/W4402979812","doi":"https://doi.org/10.1109/icme57554.2024.10687500"},"language":"en","primary_location":{"id":"doi:10.1109/icme57554.2024.10687500","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icme57554.2024.10687500","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Multimedia and Expo (ICME)","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/A5073854712","display_name":"Yuting Hu","orcid":"https://orcid.org/0000-0002-8153-595X"},"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":true,"raw_author_name":"Yuting Hu","raw_affiliation_strings":["Beijing University of Posts and Telecommunications,School of Electronic Engineering,Beijing,China,100876"],"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications,School of Electronic Engineering,Beijing,China,100876","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100754035","display_name":"Yue Ming","orcid":"https://orcid.org/0009-0009-0365-808X"},"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":"Yue Ming","raw_affiliation_strings":["Beijing University of Posts and Telecommunications,School of Electronic Engineering,Beijing,China,100876"],"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications,School of Electronic Engineering,Beijing,China,100876","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031773627","display_name":"Panzi Zhao","orcid":"https://orcid.org/0000-0002-1544-2958"},"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":"Panzi Zhao","raw_affiliation_strings":["Beijing University of Posts and Telecommunications,School of Electronic Engineering,Beijing,China,100876"],"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications,School of Electronic Engineering,Beijing,China,100876","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060843754","display_name":"Boyang Lyu","orcid":"https://orcid.org/0000-0002-5396-7464"},"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":"Boyang Lyu","raw_affiliation_strings":["Beijing University of Posts and Telecommunications,School of Electronic Engineering,Beijing,China,100876"],"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications,School of Electronic Engineering,Beijing,China,100876","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033970680","display_name":"Kai Hong","orcid":"https://orcid.org/0000-0001-7341-4931"},"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":"Kai Hong","raw_affiliation_strings":["Beijing University of Posts and Telecommunications,School of Electronic Engineering,Beijing,China,100876"],"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications,School of Electronic Engineering,Beijing,China,100876","institution_ids":["https://openalex.org/I139759216"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5073854712"],"corresponding_institution_ids":["https://openalex.org/I139759216"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.16779376,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.986299991607666,"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":0.986299991607666,"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":0.9466999769210815,"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/T12740","display_name":"Gait Recognition and Analysis","score":0.9241999983787537,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6627990007400513},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.6124635934829712},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5763359069824219},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.5537131428718567},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.5340370535850525},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5016355514526367},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.43170303106307983},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37820273637771606},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.32532671093940735}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6627990007400513},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.6124635934829712},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5763359069824219},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.5537131428718567},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.5340370535850525},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5016355514526367},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.43170303106307983},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37820273637771606},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.32532671093940735},{"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},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icme57554.2024.10687500","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icme57554.2024.10687500","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Multimedia and Expo (ICME)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321470","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2099421762","https://openalex.org/W2530546662","https://openalex.org/W2967030268","https://openalex.org/W2185253430","https://openalex.org/W4210345652","https://openalex.org/W1984333081","https://openalex.org/W2347824352","https://openalex.org/W2098693229","https://openalex.org/W2112875849","https://openalex.org/W2384651879"],"abstract_inverted_index":{"With":[0],"the":[1,35,41,98,146],"easy":[2],"availability":[3],"of":[4,40],"low-quality":[5,11,60,133],"3D":[6,12,61,134],"facial":[7],"data,":[8],"research":[9],"on":[10,76,130],"face":[13,135],"recognition":[14,143],"(FR)":[15],"has":[16],"gained":[17],"widespread":[18],"attention.":[19],"However,":[20],"most":[21],"existing":[22],"methods":[23],"struggle":[24],"to":[25,91,118],"strike":[26],"a":[27,50,66,110],"balance":[28],"between":[29],"accuracy":[30,144],"and":[31,88,101,123],"computational":[32],"complexity,":[33],"with":[34,145],"enormous":[36],"parameters":[37],"being":[38],"one":[39],"primary":[42],"challenges.":[43],"To":[44],"address":[45],"this":[46],"issue,":[47],"we":[48,64,108],"propose":[49],"novel":[51,111],"lightweight":[52],"multi-scale":[53,67],"group":[54,68],"shift":[55,71,80],"fusion":[56,72,81,115],"network":[57],"(LMGSNet)":[58],"for":[59],"FR.":[62],"Specifically,":[63],"construct":[65],"attention":[69,86],"layer-by-layer":[70],"module":[73,116],"(GALSF)":[74],"based":[75],"our":[77,139],"proposed":[78],"channel":[79],"(CSF)":[82],"method,":[83],"which":[84],"integrates":[85],"convolution":[87],"grouping":[89],"operation":[90],"capture":[92],"critical":[93],"local":[94,113,120],"features":[95,121],"(such":[96],"as":[97],"nose,":[99],"mouth,":[100],"forehead)":[102],"while":[103],"significantly":[104],"reducing":[105],"parameters.":[106,148],"Furthermore,":[107],"design":[109],"split-aggregate":[112],"feature":[114],"(SALF)":[117],"enhance":[119],"representation":[122],"capturing":[124],"rich":[125],"discriminative":[126],"features.":[127],"Extensive":[128],"experiments":[129],"three":[131],"challenging":[132],"datasets":[136],"demonstrate":[137],"that":[138],"model":[140],"achieves":[141],"competitive":[142],"lowest":[147]},"counts_by_year":[],"updated_date":"2025-12-27T23:08:20.325037","created_date":"2025-10-10T00:00:00"}