{"id":"https://openalex.org/W4213067053","doi":"https://doi.org/10.5220/0010870900003122","title":"An Effective Deep Network for Head Pose Estimation without Keypoints","display_name":"An Effective Deep Network for Head Pose Estimation without Keypoints","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4213067053","doi":"https://doi.org/10.5220/0010870900003122"},"language":"en","primary_location":{"id":"doi:10.5220/0010870900003122","is_oa":false,"landing_page_url":"https://doi.org/10.5220/0010870900003122","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 11th International Conference on Pattern Recognition Applications and Methods","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2210.13705","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5024157948","display_name":"Chien Thai","orcid":"https://orcid.org/0000-0002-5098-6862"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Chien Thai","raw_affiliation_strings":["Computer Vision Department, Optoelectronics Center, Viettel Aerospace Institute, Vietnam, --- Select a Country ---"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Vision Department, Optoelectronics Center, Viettel Aerospace Institute, Vietnam, --- Select a Country ---","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066581436","display_name":"Vi\u1ec7t D\u0169ng Tr\u1ea7n","orcid":"https://orcid.org/0000-0002-3598-5829"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Viet Tran","raw_affiliation_strings":["Computer Vision Department, Optoelectronics Center, Viettel Aerospace Institute, Vietnam, --- Select a Country ---"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Vision Department, Optoelectronics Center, Viettel Aerospace Institute, Vietnam, --- Select a Country ---","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007005621","display_name":"Minh Vu Bui","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Minh Bui","raw_affiliation_strings":["Computer Vision Department, Optoelectronics Center, Viettel Aerospace Institute, Vietnam, --- Select a Country ---"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Vision Department, Optoelectronics Center, Viettel Aerospace Institute, Vietnam, --- Select a Country ---","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001926325","display_name":"Huong Ninh","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Huong Ninh","raw_affiliation_strings":["Computer Vision Department, Optoelectronics Center, Viettel Aerospace Institute, Vietnam, --- Select a Country ---"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Vision Department, Optoelectronics Center, Viettel Aerospace Institute, Vietnam, --- Select a Country ---","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113167928","display_name":"H\u1ea3i Tr\u1ea7n","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hai Tran","raw_affiliation_strings":["Computer Vision Department, Optoelectronics Center, Viettel Aerospace Institute, Vietnam, --- Select a Country ---"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Vision Department, Optoelectronics Center, Viettel Aerospace Institute, Vietnam, --- Select a Country ---","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5024157948"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4063,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.57628851,"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":"90","last_page":"98"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9994000196456909,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9994000196456909,"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/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9991999864578247,"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/T11448","display_name":"Face recognition and analysis","score":0.9983000159263611,"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/computer-science","display_name":"Computer science","score":0.7298372983932495},{"id":"https://openalex.org/keywords/head","display_name":"Head (geology)","score":0.7133162021636963},{"id":"https://openalex.org/keywords/pose","display_name":"Pose","score":0.6741319894790649},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6026105284690857},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4839530289173126},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.4550609588623047},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.1542937457561493},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10294872522354126}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7298372983932495},{"id":"https://openalex.org/C2780312720","wikidata":"https://www.wikidata.org/wiki/Q5689100","display_name":"Head (geology)","level":2,"score":0.7133162021636963},{"id":"https://openalex.org/C52102323","wikidata":"https://www.wikidata.org/wiki/Q1671968","display_name":"Pose","level":2,"score":0.6741319894790649},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6026105284690857},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4839530289173126},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.4550609588623047},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.1542937457561493},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10294872522354126},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C114793014","wikidata":"https://www.wikidata.org/wiki/Q52109","display_name":"Geomorphology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.5220/0010870900003122","is_oa":false,"landing_page_url":"https://doi.org/10.5220/0010870900003122","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 11th International Conference on Pattern Recognition Applications and Methods","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2210.13705","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2210.13705","pdf_url":"https://arxiv.org/pdf/2210.13705","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2210.13705","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2210.13705","pdf_url":"https://arxiv.org/pdf/2210.13705","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":47,"referenced_works":["https://openalex.org/W204612701","https://openalex.org/W1643185111","https://openalex.org/W1734489760","https://openalex.org/W1821462560","https://openalex.org/W1896788142","https://openalex.org/W1946919140","https://openalex.org/W1976948919","https://openalex.org/W1982214249","https://openalex.org/W1990937109","https://openalex.org/W2047508432","https://openalex.org/W2051439328","https://openalex.org/W2079054988","https://openalex.org/W2087681821","https://openalex.org/W2088028039","https://openalex.org/W2088115584","https://openalex.org/W2102210486","https://openalex.org/W2108598243","https://openalex.org/W2131227845","https://openalex.org/W2142727917","https://openalex.org/W2149382413","https://openalex.org/W2151782086","https://openalex.org/W2194775991","https://openalex.org/W2215711223","https://openalex.org/W2548780814","https://openalex.org/W2549139847","https://openalex.org/W2589255576","https://openalex.org/W2676956348","https://openalex.org/W2737146145","https://openalex.org/W2737644856","https://openalex.org/W2739698496","https://openalex.org/W2807744618","https://openalex.org/W2928165649","https://openalex.org/W2943235166","https://openalex.org/W2946709531","https://openalex.org/W2949662773","https://openalex.org/W2957744218","https://openalex.org/W2963076818","https://openalex.org/W2963377935","https://openalex.org/W2963644257","https://openalex.org/W2964014798","https://openalex.org/W2964171387","https://openalex.org/W2995341271","https://openalex.org/W3028400540","https://openalex.org/W3172509117","https://openalex.org/W3183842024","https://openalex.org/W4245801766","https://openalex.org/W4297665946"],"related_works":["https://openalex.org/W2058170566","https://openalex.org/W2772917594","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398","https://openalex.org/W2775347418"],"abstract_inverted_index":{"Human":[0],"head":[1,37,89,115,160,179],"pose":[2,38,90,116,161,180],"estimation":[3,39,91,181],"is":[4,42],"an":[5,122],"essential":[6],"problem":[7],"in":[8,11,53,174],"facial":[9,63],"analysis":[10],"recent":[12],"years":[13],"that":[14,85,166],"has":[15,95,186],"a":[16,46,82],"lot":[17],"of":[18,32,35,136,149,190],"computer":[19],"vision":[20],"applications":[21,65],"such":[22,66],"as":[23,67],"gaze":[24],"estimation,":[25],"virtual":[26],"reality,":[27],"and":[28,128,155],"driver":[29],"assistance.":[30],"Because":[31],"the":[33,36,57,88,107,114,125,134,141,147,172,177,187],"importance":[34],"problem,":[40],"it":[41],"necessary":[43],"to":[44,49,55,112],"design":[45,121],"compact":[47],"model":[48,84,132,169,185],"resolve":[50],"this":[51,78],"task":[52],"order":[54],"reduce":[56],"computational":[58],"cost":[59],"when":[60,193],"deploying":[61],"on":[62,106,195],"analysis-based":[64],"large":[68],"camera":[69],"surveillance":[70],"systems,":[71],"AI":[72],"cameras":[73],"while":[74],"maintaining":[75],"accuracy.":[76],"In":[77],"work,":[79],"we":[80,152],"propose":[81],"lightweight":[83],"effectively":[86],"addresses":[87],"problem.":[92],"Our":[93],"approach":[94],"two":[96,158],"main":[97],"steps.":[98],"1)":[99],"We":[100,120],"first":[101],"train":[102,129],"many":[103],"teacher":[104],"models":[105],"synthesis":[108],"dataset":[109],"-":[110,157],"300W-LPA":[111],"get":[113],"pseudo":[117,138],"labels.":[118],"2)":[119],"architecture":[123],"with":[124,133,176],"ResNet18":[126],"backbone":[127],"our":[130,150,167,184],"proposed":[131,168],"ensemble":[135],"these":[137],"labels":[139],"via":[140],"knowledge":[142],"distillation":[143],"process.":[144],"To":[145],"evaluate":[146],"effectiveness":[148],"model,":[151],"use":[153],"AFLW-2000":[154],"BIWI":[156],"real-world":[159],"datasets.":[162],"Experimental":[163],"results":[164],"show":[165],"significantly":[170],"improves":[171],"accuracy":[173],"comparison":[175],"state-of-the-art":[178],"methods.":[182],"Furthermore,":[183],"real-time":[188],"speed":[189],"$\\sim$300":[191],"FPS":[192],"inferring":[194],"Tesla":[196],"V100.":[197]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2}],"updated_date":"2026-05-05T08:41:31.759640","created_date":"2025-10-10T00:00:00"}