{"id":"https://openalex.org/W4417084369","doi":"https://doi.org/10.48550/arxiv.2505.05531","title":"OXSeg: Multidimensional attention UNet-based lip segmentation using semi-supervised lip contours","display_name":"OXSeg: Multidimensional attention UNet-based lip segmentation using semi-supervised lip contours","publication_year":2025,"publication_date":"2025-05-08","ids":{"openalex":"https://openalex.org/W4417084369","doi":"https://doi.org/10.48550/arxiv.2505.05531"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2505.05531","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2505.05531","pdf_url":"https://arxiv.org/pdf/2505.05531","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2505.05531","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5075298630","display_name":"Hanie Moghaddasi","orcid":"https://orcid.org/0009-0004-7895-2893"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Moghaddasi, Hanie","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007438752","display_name":"Christina Chambers","orcid":"https://orcid.org/0000-0003-4675-7722"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chambers, Christina","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070975796","display_name":"Sarah N. Mattson","orcid":"https://orcid.org/0000-0001-8499-9605"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mattson, Sarah N.","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081661210","display_name":"Jeffrey R. Wozniak","orcid":"https://orcid.org/0000-0002-7132-8519"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wozniak, Jeffrey R.","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071297250","display_name":"Claire D. Coles","orcid":"https://orcid.org/0000-0003-3399-6644"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Coles, Claire D.","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056166445","display_name":"Raja Mukherjee","orcid":"https://orcid.org/0000-0002-2171-928X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mukherjee, Raja","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5068855641","display_name":"Michael Suttie","orcid":"https://orcid.org/0000-0002-5538-8431"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Suttie, Michael","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"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":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.210999995470047,"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"}},"topics":[{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.210999995470047,"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/T11448","display_name":"Face recognition and analysis","score":0.1273999959230423,"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/T11866","display_name":"Reconstructive Facial Surgery Techniques","score":0.12189999967813492,"subfield":{"id":"https://openalex.org/subfields/2746","display_name":"Surgery"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.8533999919891357},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.553600013256073},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.49129998683929443},{"id":"https://openalex.org/keywords/upper-lip","display_name":"Upper lip","score":0.3797999918460846},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.366100013256073},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.3472000062465668}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.8533999919891357},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7738999724388123},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6288999915122986},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.553600013256073},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.515999972820282},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.49129998683929443},{"id":"https://openalex.org/C2780208632","wikidata":"https://www.wikidata.org/wiki/Q15173","display_name":"Upper lip","level":2,"score":0.3797999918460846},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.366100013256073},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.3472000062465668},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.3375999927520752},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.32519999146461487},{"id":"https://openalex.org/C25694479","wikidata":"https://www.wikidata.org/wiki/Q7446278","display_name":"Segmentation-based object categorization","level":5,"score":0.2612999975681305},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.25029999017715454}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2505.05531","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2505.05531","pdf_url":"https://arxiv.org/pdf/2505.05531","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2505.05531","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2505.05531","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2505.05531","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2505.05531","pdf_url":"https://arxiv.org/pdf/2505.05531","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Lip":[0],"segmentation":[1,22,40,68,128,173,236],"plays":[2],"a":[3,65,110,116,177,184,208],"crucial":[4],"role":[5],"in":[6,31,55,81,135,162,190,219,222],"various":[7],"domains,":[8],"such":[9],"as":[10],"lip":[11,21,29,39,67,104,124,140,172,192,235],"synchronization,":[12],"lipreading,":[13],"and":[14,49,74,120,156,183,242],"diagnostics.":[15],"However,":[16],"the":[17,26,32,56,79,93,103,122,136,144,153,170,197,225],"effectiveness":[18],"of":[19,28,181,188,217,224,249],"supervised":[20],"is":[23,41,106],"constrained":[24],"by":[25],"availability":[27],"contour":[30,105,125],"training":[33,137],"phase.":[34],"A":[35],"further":[36,195],"challenge":[37],"with":[38,164,205],"its":[42],"reliance":[43],"on":[44,245],"image":[45],"quality":[46],",":[47],"lighting,":[48],"skin":[50],"tone,":[51],"leading":[52],"to":[53,88,126,151,202,233],"inaccuracies":[54],"detected":[57],"boundaries.":[58],"To":[59,142,194],"address":[60],"these":[61],"challenges,":[62],"we":[63,147,175,199,213],"propose":[64],"sequential":[66,99],"method":[69,113,229],"that":[70,114],"integrates":[71],"attention":[72,100],"UNet":[73],"multidimensional":[75,90,94],"input.":[76],"We":[77,108],"unravel":[78],"micro-patterns":[80],"facial":[82,149,160],"images":[83,150],"using":[84],"local":[85],"binary":[86],"patterns":[87],"build":[89],"inputs.":[91],"Subsequently,":[92],"inputs":[95],"are":[96],"fed":[97],"into":[98],"UNets,":[101],"where":[102],"reconstructed.":[107],"introduce":[109],"mask":[111,131],"generation":[112],"uses":[115],"few":[117],"anatomical":[118],"landmarks":[119],"estimates":[121],"complete":[123],"improve":[127,234],"accuracy.":[129],"This":[130,228],"has":[132],"been":[133],"utilized":[134],"phase":[138],"for":[139],"segmentation.":[141,193],"evaluate":[143,196],"proposed":[145,171],"method,":[146,174,198],"use":[148],"segment":[152],"upper":[154,191],"lips":[155],"subsequently":[157],"assess":[158],"lip-related":[159,247],"anomalies":[161],"subjects":[163],"fetal":[165],"alcohol":[166],"syndrome":[167],"(FAS).":[168],"Using":[169,207],"achieved":[176],"mean":[178,185],"dice":[179],"score":[180],"84.75%,":[182],"pixel":[186],"accuracy":[187,216],"99.77%":[189],"implemented":[200],"classifiers":[201],"identify":[203],"those":[204],"FAS.":[206,250],"generative":[209],"adversarial":[210],"network":[211],"(GAN),":[212],"reached":[214],"an":[215],"98.55%":[218],"identifying":[220],"FAS":[221],"one":[223],"study":[226],"populations.":[227],"could":[230],"be":[231],"used":[232],"accuracy,":[237],"especially":[238],"around":[239],"Cupid's":[240],"bow,":[241],"shed":[243],"light":[244],"distinct":[246],"characteristics":[248]},"counts_by_year":[],"updated_date":"2026-08-05T07:39:15.569665","created_date":"2025-10-10T00:00:00"}