{"id":"https://openalex.org/W2911933816","doi":"https://doi.org/10.1007/978-3-030-11012-3_28","title":"Investigating Depth Domain Adaptation for Efficient Human Pose Estimation","display_name":"Investigating Depth Domain Adaptation for Efficient Human Pose Estimation","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2911933816","doi":"https://doi.org/10.1007/978-3-030-11012-3_28","mag":"2911933816"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-030-11012-3_28","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-030-11012-3_28","pdf_url":"https://link.springer.com/content/pdf/10.1007/978-3-030-11012-3_28.pdf","source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/978-3-030-11012-3_28.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101696486","display_name":"\u00c1ngel Mart\u00ednez-Gonz\u00e1lez","orcid":"https://orcid.org/0000-0002-5274-3530"},"institutions":[{"id":"https://openalex.org/I5124864","display_name":"\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne","ror":"https://ror.org/02s376052","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I5124864"]},{"id":"https://openalex.org/I7495430","display_name":"Idiap Research Institute","ror":"https://ror.org/05932h694","country_code":"CH","type":"facility","lineage":["https://openalex.org/I7495430"]}],"countries":["CH"],"is_corresponding":true,"raw_author_name":"Angel Mart\u00ednez-Gonz\u00e1lez","raw_affiliation_strings":["Idiap Research Institute, Martigny, Switzerland","\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne (EPFL), Lausanne, Switzerland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Idiap Research Institute, Martigny, Switzerland","institution_ids":["https://openalex.org/I7495430"]},{"raw_affiliation_string":"\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne (EPFL), Lausanne, Switzerland","institution_ids":["https://openalex.org/I5124864"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081010545","display_name":"Michael Villamizar","orcid":"https://orcid.org/0000-0002-2066-6665"},"institutions":[{"id":"https://openalex.org/I7495430","display_name":"Idiap Research Institute","ror":"https://ror.org/05932h694","country_code":"CH","type":"facility","lineage":["https://openalex.org/I7495430"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Michael Villamizar","raw_affiliation_strings":["Idiap Research Institute, Martigny, Switzerland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Idiap Research Institute, Martigny, Switzerland","institution_ids":["https://openalex.org/I7495430"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008714951","display_name":"Olivier Can\u00e9vet","orcid":null},"institutions":[{"id":"https://openalex.org/I7495430","display_name":"Idiap Research Institute","ror":"https://ror.org/05932h694","country_code":"CH","type":"facility","lineage":["https://openalex.org/I7495430"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Olivier Can\u00e9vet","raw_affiliation_strings":["Idiap Research Institute, Martigny, Switzerland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Idiap Research Institute, Martigny, Switzerland","institution_ids":["https://openalex.org/I7495430"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5053358969","display_name":"Jean\u2010Marc Odobez","orcid":"https://orcid.org/0000-0002-9537-9898"},"institutions":[{"id":"https://openalex.org/I5124864","display_name":"\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne","ror":"https://ror.org/02s376052","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I5124864"]},{"id":"https://openalex.org/I7495430","display_name":"Idiap Research Institute","ror":"https://ror.org/05932h694","country_code":"CH","type":"facility","lineage":["https://openalex.org/I7495430"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Jean-Marc Odobez","raw_affiliation_strings":["Idiap Research Institute, Martigny, Switzerland","\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne (EPFL), Lausanne, Switzerland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Idiap Research Institute, Martigny, Switzerland","institution_ids":["https://openalex.org/I7495430"]},{"raw_affiliation_string":"\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne (EPFL), Lausanne, Switzerland","institution_ids":["https://openalex.org/I5124864"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5101696486"],"corresponding_institution_ids":["https://openalex.org/I5124864","https://openalex.org/I7495430"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":{"value":5000,"currency":"EUR","value_usd":5392},"fwci":null,"has_fulltext":true,"cited_by_count":11,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"346","last_page":"363"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9987000226974487,"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"}},{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9977999925613403,"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":0.8920552134513855},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6867000460624695},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6583606600761414},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.5123676061630249},{"id":"https://openalex.org/keywords/domain-adaptation","display_name":"Domain adaptation","score":0.5052891373634338},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5049250721931458},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5026884078979492},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.4833192825317383},{"id":"https://openalex.org/keywords/synthetic-data","display_name":"Synthetic data","score":0.468265563249588},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4561878442764282},{"id":"https://openalex.org/keywords/pose","display_name":"Pose","score":0.44041240215301514},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4336671233177185},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.42116212844848633},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.41061896085739136},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.1954091191291809},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.19222846627235413}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8920552134513855},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6867000460624695},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6583606600761414},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.5123676061630249},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.5052891373634338},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5049250721931458},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5026884078979492},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.4833192825317383},{"id":"https://openalex.org/C160920958","wikidata":"https://www.wikidata.org/wiki/Q7662746","display_name":"Synthetic data","level":2,"score":0.468265563249588},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4561878442764282},{"id":"https://openalex.org/C52102323","wikidata":"https://www.wikidata.org/wiki/Q1671968","display_name":"Pose","level":2,"score":0.44041240215301514},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4336671233177185},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.42116212844848633},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41061896085739136},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.1954091191291809},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.19222846627235413},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/978-3-030-11012-3_28","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-030-11012-3_28","pdf_url":"https://link.springer.com/content/pdf/10.1007/978-3-030-11012-3_28.pdf","source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},{"id":"pmh:oai:infoscience.epfl.ch:263141","is_oa":true,"landing_page_url":"https://publidiap.idiap.ch/index.php/publications/showcite/Martinez-Gonzalez_Idiap-Internal-RR-50-2018","pdf_url":null,"source":{"id":"https://openalex.org/S4306400487","display_name":"Infoscience (Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://infoscience.epfl.ch/record/263141","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1007/978-3-030-11012-3_28","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-030-11012-3_28","pdf_url":"https://link.springer.com/content/pdf/10.1007/978-3-030-11012-3_28.pdf","source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320320303","display_name":"Bayer HealthCare","ror":"https://ror.org/04hmn8g73"},{"id":"https://openalex.org/F4320320893","display_name":"Institut National de la Sant\u00e9 et de la Recherche M\u00e9dicale","ror":"https://ror.org/02vjkv261"},{"id":"https://openalex.org/F4320326610","display_name":"Haute \u00e9cole Sp\u00e9cialis\u00e9e de Suisse Occidentale","ror":"https://ror.org/03r5zec51"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2911933816.pdf","grobid_xml":"https://content.openalex.org/works/W2911933816.grobid-xml"},"referenced_works_count":34,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W1722519001","https://openalex.org/W1731081199","https://openalex.org/W1898340191","https://openalex.org/W2013640163","https://openalex.org/W2041094000","https://openalex.org/W2172156083","https://openalex.org/W2175012183","https://openalex.org/W2214409633","https://openalex.org/W2303693074","https://openalex.org/W2307770531","https://openalex.org/W2382036597","https://openalex.org/W2513076446","https://openalex.org/W2518965973","https://openalex.org/W2554082199","https://openalex.org/W2559085405","https://openalex.org/W2560676089","https://openalex.org/W2573098616","https://openalex.org/W2590953969","https://openalex.org/W2593768305","https://openalex.org/W2607512710","https://openalex.org/W2620105270","https://openalex.org/W2756073160","https://openalex.org/W2770710461","https://openalex.org/W2798478762","https://openalex.org/W2950361018","https://openalex.org/W2952422028","https://openalex.org/W2962729993","https://openalex.org/W2963484342","https://openalex.org/W2963709863","https://openalex.org/W2963870446","https://openalex.org/W2964304707","https://openalex.org/W2982552333","https://openalex.org/W6637618735"],"related_works":["https://openalex.org/W4293226380","https://openalex.org/W2123263858","https://openalex.org/W3127959533","https://openalex.org/W2894986065","https://openalex.org/W4387967917","https://openalex.org/W4287600488","https://openalex.org/W2950785639","https://openalex.org/W3089306886","https://openalex.org/W4287180101","https://openalex.org/W3160228538"],"abstract_inverted_index":{"Convolutional":[0],"Neural":[1],"Networks":[2],"(CNN)":[3],"are":[4,68],"the":[5,42,95,104,107,117,132,141,154,177,205,234],"leading":[6],"models":[7,20],"for":[8],"human":[9],"body":[10,167],"landmark":[11],"detection":[12],"from":[13,59,103],"RGB":[14],"vision":[15],"data.":[16],"However,":[17],"as":[18,174,176],"such":[19],"require":[21],"high":[22],"computational":[23],"load,":[24],"an":[25],"alternative":[26],"is":[27,129,229],"to":[28,35,52,74,78,85,130,139,203,232],"rely":[29,79],"on":[30,80,98],"depth":[31,201],"images":[32,202],"which,":[33],"due":[34],"their":[36],"more":[37],"simple":[38],"nature,":[39],"can":[40,50],"allow":[41],"use":[43,133],"of":[44,64,134,198,207],"less":[45],"complex":[46],"CNNs":[47,58],"and":[48,82,109,119,171],"hence":[49],"lead":[51],"a":[53,87,182,187,194],"faster":[54],"detector.":[55],"As":[56],"learning":[57],"scratch":[60],"requires":[61],"large":[62,88],"amounts":[63],"labeled":[65],"data,":[66,111,173],"which":[67],"not":[69],"always":[70],"available":[71],"or":[72],"expensive":[73],"obtain,":[75],"we":[76,180,192],"propose":[77],"simulations":[81],"synthetic":[83,170],"examples":[84],"build":[86],"training":[89,108],"dataset":[90,197],"with":[91,225],"precise":[92],"labels.":[93],"Nevertheless,":[94],"final":[96],"performance":[97,144],"real":[99,172,226],"data":[100,228],"will":[101],"suffer":[102],"mismatch":[105],"between":[106,116,169],"test":[110],"also":[112],"called":[113],"domain":[114,136,215],"shift":[115],"source":[118],"target":[120],"distributions.":[121],"Thus":[122],"in":[123,143,153],"this":[124],"paper,":[125],"our":[126],"main":[127],"contribution":[128],"investigate":[131],"unsupervised":[135],"adaptation":[137,216,235],"techniques":[138],"fill":[140],"gap":[142],"introduced":[145],"by":[146],"these":[147],"distribution":[148],"differences.":[149],"The":[150],"challenge":[151],"lies":[152],"important":[155],"noise":[156],"differences":[157],"(not":[158],"only":[159],"gaussian":[160],"noise,":[161],"but":[162,220],"many":[163],"missing":[164],"values":[165],"around":[166],"limbs)":[168],"well":[175],"fact":[178],"that":[179,214,221],"address":[181],"regression":[183],"task":[184],"rather":[185],"than":[186],"classification":[188],"one.":[189],"In":[190],"addition,":[191],"introduce":[193],"new":[195],"public":[196],"synthetically":[199],"generated":[200],"cover":[204],"cases":[206],"multi-person":[208],"pose":[209],"estimation.":[210],"Our":[211],"experiments":[212],"show":[213],"provides":[217],"some":[218],"improvement,":[219],"further":[222],"network":[223],"fine-tuning":[224],"annotated":[227],"worth":[230],"including":[231],"supervise":[233],"process.":[236]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}