{"id":"https://openalex.org/W3040548508","doi":"https://doi.org/10.1145/3389189.3397970","title":"Hand over face segmentation using MPSPNet","display_name":"Hand over face segmentation using MPSPNet","publication_year":2020,"publication_date":"2020-06-29","ids":{"openalex":"https://openalex.org/W3040548508","doi":"https://doi.org/10.1145/3389189.3397970","mag":"3040548508"},"language":"en","primary_location":{"id":"doi:10.1145/3389189.3397970","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3389189.3397970","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3389189.3397970","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 13th ACM International Conference on PErvasive Technologies Related to Assistive Environments","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3389189.3397970","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5013895817","display_name":"Sakher Ghanem","orcid":null},"institutions":[{"id":"https://openalex.org/I4210099699","display_name":"Jeddah University","ror":"https://ror.org/015ya8798","country_code":"SA","type":"education","lineage":["https://openalex.org/I4210099699"]}],"countries":["SA"],"is_corresponding":true,"raw_author_name":"Sakher Ghanem","raw_affiliation_strings":["University of Texas at Arlington and University of Jeddah, Jeddah, Saudi Arabia"],"affiliations":[{"raw_affiliation_string":"University of Texas at Arlington and University of Jeddah, Jeddah, Saudi Arabia","institution_ids":["https://openalex.org/I4210099699"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026672197","display_name":"Alex Dillhoff","orcid":null},"institutions":[{"id":"https://openalex.org/I189196454","display_name":"The University of Texas at Arlington","ror":"https://ror.org/019kgqr73","country_code":"US","type":"education","lineage":["https://openalex.org/I189196454"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Alex Dillhoff","raw_affiliation_strings":["University of Texas at Arlington"],"affiliations":[{"raw_affiliation_string":"University of Texas at Arlington","institution_ids":["https://openalex.org/I189196454"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112596383","display_name":"Ashiq Imran","orcid":null},"institutions":[{"id":"https://openalex.org/I189196454","display_name":"The University of Texas at Arlington","ror":"https://ror.org/019kgqr73","country_code":"US","type":"education","lineage":["https://openalex.org/I189196454"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ashiq Imran","raw_affiliation_strings":["University of Texas at Arlington"],"affiliations":[{"raw_affiliation_string":"University of Texas at Arlington","institution_ids":["https://openalex.org/I189196454"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025213339","display_name":"Vassilis Athitsos","orcid":"https://orcid.org/0000-0002-1281-6168"},"institutions":[{"id":"https://openalex.org/I189196454","display_name":"The University of Texas at Arlington","ror":"https://ror.org/019kgqr73","country_code":"US","type":"education","lineage":["https://openalex.org/I189196454"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Vassilis Athitsos","raw_affiliation_strings":["University of Texas at Arlington"],"affiliations":[{"raw_affiliation_string":"University of Texas at Arlington","institution_ids":["https://openalex.org/I189196454"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5013895817"],"corresponding_institution_ids":["https://openalex.org/I4210099699"],"apc_list":null,"apc_paid":null,"fwci":0.4422,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.62674651,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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":0.9991999864578247,"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":0.9948999881744385,"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/segmentation","display_name":"Segmentation","score":0.845226526260376},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8128784894943237},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.77978515625},{"id":"https://openalex.org/keywords/pascal","display_name":"Pascal (unit)","score":0.7187991142272949},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.5673624873161316},{"id":"https://openalex.org/keywords/parsing","display_name":"Parsing","score":0.5423728823661804},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5204177498817444},{"id":"https://openalex.org/keywords/pyramid","display_name":"Pyramid (geometry)","score":0.48634225130081177},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4620712399482727},{"id":"https://openalex.org/keywords/obstacle","display_name":"Obstacle","score":0.46058031916618347},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.44939619302749634},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.43095892667770386},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.07098862528800964},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.06773450970649719}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.845226526260376},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8128784894943237},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.77978515625},{"id":"https://openalex.org/C75608658","wikidata":"https://www.wikidata.org/wiki/Q44395","display_name":"Pascal (unit)","level":2,"score":0.7187991142272949},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.5673624873161316},{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.5423728823661804},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5204177498817444},{"id":"https://openalex.org/C142575187","wikidata":"https://www.wikidata.org/wiki/Q3358290","display_name":"Pyramid (geometry)","level":2,"score":0.48634225130081177},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4620712399482727},{"id":"https://openalex.org/C2776650193","wikidata":"https://www.wikidata.org/wiki/Q264661","display_name":"Obstacle","level":2,"score":0.46058031916618347},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.44939619302749634},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.43095892667770386},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.07098862528800964},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.06773450970649719},{"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/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3389189.3397970","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3389189.3397970","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3389189.3397970","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 13th ACM International Conference on PErvasive Technologies Related to Assistive Environments","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3389189.3397970","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3389189.3397970","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3389189.3397970","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 13th ACM International Conference on PErvasive Technologies Related to Assistive Environments","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.44999998807907104,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3040548508.pdf","grobid_xml":"https://content.openalex.org/works/W3040548508.grobid-xml"},"referenced_works_count":30,"referenced_works":["https://openalex.org/W125693051","https://openalex.org/W1547898357","https://openalex.org/W1635989058","https://openalex.org/W1901129140","https://openalex.org/W1903029394","https://openalex.org/W1990947293","https://openalex.org/W2031688197","https://openalex.org/W2067912884","https://openalex.org/W2075156252","https://openalex.org/W2078088780","https://openalex.org/W2122768476","https://openalex.org/W2136900990","https://openalex.org/W2153746365","https://openalex.org/W2166665167","https://openalex.org/W2171885832","https://openalex.org/W2172156083","https://openalex.org/W2194775991","https://openalex.org/W2204609240","https://openalex.org/W2295929021","https://openalex.org/W2536706996","https://openalex.org/W2560023338","https://openalex.org/W2563705555","https://openalex.org/W2630837129","https://openalex.org/W2739253758","https://openalex.org/W2791833757","https://openalex.org/W2886934227","https://openalex.org/W2946026176","https://openalex.org/W2963881378","https://openalex.org/W2964291326","https://openalex.org/W2964309882"],"related_works":["https://openalex.org/W2794103424","https://openalex.org/W1996530509","https://openalex.org/W3028317537","https://openalex.org/W2389515972","https://openalex.org/W4245435724","https://openalex.org/W2055301889","https://openalex.org/W4400979532","https://openalex.org/W2376554934","https://openalex.org/W2077790809","https://openalex.org/W2971179492"],"abstract_inverted_index":{"Accurate":[0],"hand":[1,31,45,104],"segmentation":[2,32,48,71,105],"is":[3,33],"vital":[4],"in":[5,86,123,136],"many":[6],"applications":[7],"where":[8],"the":[9,34,40,44,53,88,91,116,129,142],"hands":[10,37,89],"play":[11],"a":[12,120,133],"central":[13],"role.":[14],"Examples":[15],"include":[16],"sign":[17],"language":[18],"recognition,":[19,21],"action":[20],"and":[22,76,80,94,110,132],"gesture":[23],"recognition.":[24],"A":[25],"relatively":[26],"unexplored":[27],"obstacle":[28],"to":[29],"correct":[30],"case":[35],"of":[36],"overlapping":[38],"with":[39,126,139],"face.":[41],"Inspired":[42],"by":[43],"over":[46],"face":[47],"problem,":[49],"we":[50,97],"have":[51],"developed":[52],"novel":[54],"Multi-level":[55],"Pyramid":[56],"Scene":[57],"Parsing":[58],"Network":[59],"(MPSPNet)":[60],"for":[61],"semantic":[62],"segmentation.":[63],"We":[64,112],"evaluate":[65],"MPSPNet":[66],"on":[67,84,128,141],"two":[68,77],"standard":[69],"object":[70],"datasets":[72,82],"(NYUDv2,":[73],"PASCAL":[74],"VOC)":[75],"recently":[78],"published":[79],"challenging":[81],"focusing":[83],"scenarios":[85],"which":[87],"overlap":[90],"face,":[92],"VLM-HandOverFace":[93,130],"HOF.":[95],"Additionally,":[96],"compare":[98],"our":[99],"method":[100,118],"against":[101],"several":[102],"state-of-the-art":[103],"methods":[106],"such":[107],"as":[108],"RefineNet":[109,127],"PSPNet.":[111],"empirically":[113],"show":[114],"that":[115],"proposed":[117],"achieves":[119],"6%":[121],"improvement":[122,135],"mIOU":[124,137],"compared":[125,138],"dataset":[131],"15%":[134],"PSPNet":[140],"HOF":[143],"dataset.":[144]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
