{"id":"https://openalex.org/W3092747899","doi":"https://doi.org/10.1145/3394171.3413509","title":"Attentive One-Dimensional Heatmap Regression for Facial Landmark Detection and Tracking","display_name":"Attentive One-Dimensional Heatmap Regression for Facial Landmark Detection and Tracking","publication_year":2020,"publication_date":"2020-10-12","ids":{"openalex":"https://openalex.org/W3092747899","doi":"https://doi.org/10.1145/3394171.3413509","mag":"3092747899"},"language":"en","primary_location":{"id":"doi:10.1145/3394171.3413509","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3394171.3413509","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 28th ACM International Conference on Multimedia","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/A5101536789","display_name":"Shi Yin","orcid":"https://orcid.org/0009-0009-1345-1752"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shi Yin","raw_affiliation_strings":["University of Science and Technology of China, Hefei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077046519","display_name":"Shangfei Wang","orcid":"https://orcid.org/0000-0003-1164-9895"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shangfei Wang","raw_affiliation_strings":["University of Science and Technology of China, Hefei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084710341","display_name":"Xiaoping Chen","orcid":"https://orcid.org/0000-0001-8992-9286"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoping Chen","raw_affiliation_strings":["University of Science and Technology of China, Hefei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048237545","display_name":"Enhong Chen","orcid":"https://orcid.org/0000-0002-4835-4102"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Enhong Chen","raw_affiliation_strings":["University of Science and Technology of China, Hefei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083198607","display_name":"Cong Liang","orcid":"https://orcid.org/0000-0003-0121-0563"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cong Liang","raw_affiliation_strings":["University of Science and Technology of China, Hefei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I126520041"],"apc_list":null,"apc_paid":null,"fwci":1.2815,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":{"value":0.86872688,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"538","last_page":"546"},"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":0.9915000200271606,"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":0.982200026512146,"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/landmark","display_name":"Landmark","score":0.9668579697608948},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7175493240356445},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6701720356941223},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.6163884401321411},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5952543020248413},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5932821035385132},{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.5349489450454712},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.49903273582458496},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4563593864440918},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.423265278339386},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21681901812553406},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1756114959716797},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.1208500862121582},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.1030682921409607}],"concepts":[{"id":"https://openalex.org/C2780297707","wikidata":"https://www.wikidata.org/wiki/Q4895393","display_name":"Landmark","level":2,"score":0.9668579697608948},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7175493240356445},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6701720356941223},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.6163884401321411},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5952543020248413},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5932821035385132},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.5349489450454712},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.49903273582458496},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4563593864440918},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.423265278339386},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21681901812553406},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1756114959716797},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.1208500862121582},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.1030682921409607},{"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/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3394171.3413509","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3394171.3413509","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 28th ACM International Conference on Multimedia","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.800000011920929,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W1795776638","https://openalex.org/W1960706641","https://openalex.org/W1976948919","https://openalex.org/W1990937109","https://openalex.org/W1998294030","https://openalex.org/W2030680772","https://openalex.org/W2036250785","https://openalex.org/W2111372597","https://openalex.org/W2121684305","https://openalex.org/W2157285372","https://openalex.org/W2251810906","https://openalex.org/W2284800790","https://openalex.org/W2307770531","https://openalex.org/W2311778361","https://openalex.org/W2740103755","https://openalex.org/W2784710428","https://openalex.org/W2798730128","https://openalex.org/W2798898313","https://openalex.org/W2799930024","https://openalex.org/W2944892540","https://openalex.org/W2949662773","https://openalex.org/W2952186347","https://openalex.org/W2962925415","https://openalex.org/W2963419873","https://openalex.org/W2963519453","https://openalex.org/W2963544488","https://openalex.org/W2963598138","https://openalex.org/W2963668159","https://openalex.org/W2963789946","https://openalex.org/W2964105113","https://openalex.org/W2964810439","https://openalex.org/W2970709561","https://openalex.org/W2982204884","https://openalex.org/W2985243484","https://openalex.org/W2999153086","https://openalex.org/W3034750257","https://openalex.org/W3104792420","https://openalex.org/W3122663073"],"related_works":["https://openalex.org/W2056853153","https://openalex.org/W2057559274","https://openalex.org/W2005087563","https://openalex.org/W2378111931","https://openalex.org/W4243161226","https://openalex.org/W2950647290","https://openalex.org/W2620829895","https://openalex.org/W2356918560","https://openalex.org/W1968481813","https://openalex.org/W2392886708"],"abstract_inverted_index":{"Although":[0],"heatmap":[1,33,69,145],"regression":[2,34,70],"is":[3,19,112],"considered":[4],"a":[5,29,109,149,163,170],"state-of-the-art":[6],"method":[7,35,93],"to":[8,21,48,67,76,114],"locate":[9],"facial":[10,37,150],"landmarks,":[11],"it":[12],"suffers":[13],"from":[14],"huge":[15],"spatial":[16,63,89,118,154],"complexity":[17,64],"and":[18,56,83,123,126,134,162],"prone":[20],"quantization":[22,106],"error.":[23,107],"To":[24],"address":[25],"this,":[26],"we":[27,41,147],"propose":[28,148],"novel":[30],"attentive":[31],"one-dimensional":[32],"for":[36,156,174],"landmark":[38,151,157,175],"localization.":[39],"First,":[40],"predict":[42],"two":[43],"groups":[44],"of":[45,53,81,186],"1D":[46,60,97,144],"heatmaps":[47,61,75,98],"represent":[49,77],"the":[50,54,78,91,105,116,128,132,143,184],"marginal":[51],"distributions":[52,80,130],"x":[55,82,122,133],"y":[57,84,124,135],"coordinates.":[58,85],"These":[59],"reduce":[62],"significantly":[65,103],"compared":[66],"current":[68],"methods,":[71],"which":[72],"use":[73],"2D":[74],"joint":[79,129],"With":[86],"much":[87],"lower":[88],"complexity,":[90],"proposed":[92],"can":[94],"output":[95],"high-resolution":[96],"despite":[99],"limited":[100],"GPU":[101],"memory,":[102],"alleviating":[104],"Second,":[108],"co-attention":[110],"mechanism":[111,173],"adopted":[113],"model":[115],"inherent":[117],"patterns":[119,155,168],"existing":[120],"in":[121],"coordinates,":[125],"therefore":[127],"on":[131,142,159,179],"axes":[136],"are":[137],"also":[138],"captured.":[139],"Third,":[140],"based":[141],"structures,":[146],"detector":[152],"capturing":[153,166],"detection":[158],"an":[160],"image;":[161],"tracker":[164],"further":[165],"temporal":[167,171],"with":[169],"refinement":[172],"tracking.":[176],"Experimental":[177],"results":[178],"four":[180],"benchmark":[181],"databases":[182],"demonstrate":[183],"superiority":[185],"our":[187],"method.":[188]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
