{"id":"https://openalex.org/W2890953920","doi":"https://doi.org/10.1109/icip.2018.8451375","title":"ConcatNet: A Deep Architecture of Concatenation-Assisted Network for Dense Facial Landmark Alignment","display_name":"ConcatNet: A Deep Architecture of Concatenation-Assisted Network for Dense Facial Landmark Alignment","publication_year":2018,"publication_date":"2018-09-07","ids":{"openalex":"https://openalex.org/W2890953920","doi":"https://doi.org/10.1109/icip.2018.8451375","mag":"2890953920"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2018.8451375","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2018.8451375","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 25th IEEE International Conference on Image Processing (ICIP)","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":null,"display_name":"Hyewon Song","orcid":null},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hyewon Song","raw_affiliation_strings":["Department of Electrical Electronic engineering, Yonsei University, Seodaemungu, Seoul, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Electronic engineering, Yonsei University, Seodaemungu, Seoul, South Korea","institution_ids":["https://openalex.org/I193775966"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000307942","display_name":"Jiwoo Kang","orcid":"https://orcid.org/0000-0001-7622-0817"},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jiwoo Kang","raw_affiliation_strings":["Department of Electrical Electronic engineering, Yonsei University, Seodaemungu, Seoul, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Electronic engineering, Yonsei University, Seodaemungu, Seoul, South Korea","institution_ids":["https://openalex.org/I193775966"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100320181","display_name":"Sanghoon Lee","orcid":"https://orcid.org/0000-0001-9895-5347"},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Sanghoon Lee","raw_affiliation_strings":["Department of Electrical Electronic engineering, Yonsei University, Seodaemungu, Seoul, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Electronic engineering, Yonsei University, Seodaemungu, Seoul, South Korea","institution_ids":["https://openalex.org/I193775966"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.318,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.62877262,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"2371","last_page":"2375"},"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":0.9940000176429749,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9926000237464905,"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/landmark","display_name":"Landmark","score":0.9749449491500854},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7899996638298035},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7579522132873535},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6213385462760925},{"id":"https://openalex.org/keywords/concatenation","display_name":"Concatenation (mathematics)","score":0.5860805511474609},{"id":"https://openalex.org/keywords/normalization","display_name":"Normalization (sociology)","score":0.5767640471458435},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5146089792251587},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.4990053176879883},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09671375155448914}],"concepts":[{"id":"https://openalex.org/C2780297707","wikidata":"https://www.wikidata.org/wiki/Q4895393","display_name":"Landmark","level":2,"score":0.9749449491500854},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7899996638298035},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7579522132873535},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6213385462760925},{"id":"https://openalex.org/C87619178","wikidata":"https://www.wikidata.org/wiki/Q126002","display_name":"Concatenation (mathematics)","level":2,"score":0.5860805511474609},{"id":"https://openalex.org/C136886441","wikidata":"https://www.wikidata.org/wiki/Q926129","display_name":"Normalization (sociology)","level":2,"score":0.5767640471458435},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5146089792251587},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.4990053176879883},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09671375155448914},{"id":"https://openalex.org/C19165224","wikidata":"https://www.wikidata.org/wiki/Q23404","display_name":"Anthropology","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/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2018.8451375","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2018.8451375","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 25th IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.8299999833106995,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1782590233","https://openalex.org/W1896424170","https://openalex.org/W1990937109","https://openalex.org/W2012885984","https://openalex.org/W2033941867","https://openalex.org/W2058961190","https://openalex.org/W2152826865","https://openalex.org/W2157285372","https://openalex.org/W2171262059","https://openalex.org/W2206823058","https://openalex.org/W2362296076","https://openalex.org/W2465108587","https://openalex.org/W2526607496","https://openalex.org/W2606794139","https://openalex.org/W2780034403","https://openalex.org/W2963253045","https://openalex.org/W2963377935","https://openalex.org/W6639495226","https://openalex.org/W6696405545"],"related_works":["https://openalex.org/W2056853153","https://openalex.org/W2057559274","https://openalex.org/W2026924879","https://openalex.org/W2005087563","https://openalex.org/W2378111931","https://openalex.org/W2052388267","https://openalex.org/W2950647290","https://openalex.org/W1968481813","https://openalex.org/W2620829895","https://openalex.org/W2356918560"],"abstract_inverted_index":{"Facial":[0],"landmark":[1,42,56,95,140],"is":[2,26,46],"one":[3],"of":[4,61,69,129,138],"the":[5,104,127,130,136,139,150],"most":[6],"basic":[7],"elements":[8],"for":[9,39,82,93],"obtaining":[10],"facial":[11,15,31,41],"information":[12],"such":[13,164],"as":[14,165],"expression":[16],"and":[17,75,85,103,118,157],"emotion.":[18],"However,":[19],"detecting":[20,149],"dense":[21,40,55,76,151],"landmarks":[22,71,132,152],"on":[23,58,116,161],"an":[24,110,162],"image":[25,163],"challenging":[27],"due":[28],"to":[29,72,97,107,171],"various":[30],"poses.":[32],"In":[33,48],"this":[34],"paper,":[35],"a":[36,53,62,66,91,100,154],"deep":[37],"architecture":[38],"detection,":[43],"called":[44],"ConcatNet,":[45],"proposed.":[47],"our":[49],"architecture,":[50],"we":[51,89],"propose":[52],"CNN-based":[54],"detector":[57],"part":[59,86],"regions":[60],"face,":[63],"which":[64],"extends":[65],"given":[67],"set":[68],"sparse":[70,94,131],"more":[73],"accurate":[74],"landmarks.":[77],"By":[78],"introducing":[79],"interface":[80],"layers":[81],"coordinate":[83],"normalization":[84],"region":[87],"localization,":[88],"concatenate":[90],"network":[92,106],"detection":[96,174],"ConcatNet":[98,123,144],"in":[99,109,148],"global-to-local":[101],"manner":[102],"whole":[105],"operate":[108],"end-to-end":[111],"manner.":[112],"The":[113],"experimental":[114],"results":[115],"LFW":[117],"300W":[119],"datasets":[120],"show":[121],"that":[122],"not":[124],"only":[125],"expands":[126],"number":[128],"but":[133],"also":[134],"increases":[135],"accuracy":[137,147],"positions":[141],"remarkably.":[142],"Also,":[143],"shows":[145],"high":[146],"with":[153],"smaller":[155],"dataset":[156],"without":[158],"additional":[159],"data":[160],"3D":[166,172],"position":[167],"annotations":[168],"when":[169],"compared":[170],"model-based":[173],"method.":[175]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
