{"id":"https://openalex.org/W4411019760","doi":"https://doi.org/10.26599/cvm.2025.9450471","title":"Heuristic Weakly Supervised 3D Human Pose Estimation","display_name":"Heuristic Weakly Supervised 3D Human Pose Estimation","publication_year":2025,"publication_date":"2025-06-04","ids":{"openalex":"https://openalex.org/W4411019760","doi":"https://doi.org/10.26599/cvm.2025.9450471"},"language":"en","primary_location":{"id":"doi:10.26599/cvm.2025.9450471","is_oa":true,"landing_page_url":"https://doi.org/10.26599/cvm.2025.9450471","pdf_url":null,"source":{"id":"https://openalex.org/S2487656537","display_name":"Computational Visual Media","issn_l":"2096-0433","issn":["2096-0433","2096-0662"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational Visual Media","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://doi.org/10.26599/cvm.2025.9450471","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5030123222","display_name":"Shuangjun Liu","orcid":"https://orcid.org/0000-0002-2717-5789"},"institutions":[{"id":"https://openalex.org/I12912129","display_name":"Northeastern University","ror":"https://ror.org/04t5xt781","country_code":"US","type":"education","lineage":["https://openalex.org/I12912129"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shuangjun Liu","raw_affiliation_strings":["Northeastern University,Augmented Cognition Lab,Department of Electrical &#x0026; Computer Engineering,Boston,Massachusetts,USA,02115","Augmented Cognition Lab, Department of Electrical &#x0026; Computer Engineering, Northeastern University, Boston, Massachusetts 02115, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Northeastern University,Augmented Cognition Lab,Department of Electrical &#x0026; Computer Engineering,Boston,Massachusetts,USA,02115","institution_ids":["https://openalex.org/I12912129"]},{"raw_affiliation_string":"Augmented Cognition Lab, Department of Electrical &#x0026; Computer Engineering, Northeastern University, Boston, Massachusetts 02115, USA","institution_ids":["https://openalex.org/I12912129"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073051735","display_name":"Michael J. Wan","orcid":"https://orcid.org/0000-0001-5110-5142"},"institutions":[{"id":"https://openalex.org/I12912129","display_name":"Northeastern University","ror":"https://ror.org/04t5xt781","country_code":"US","type":"education","lineage":["https://openalex.org/I12912129"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Michael Wan","raw_affiliation_strings":["Northeastern University,Augmented Cognition Lab,Department of Electrical &#x0026; Computer Engineering,Boston,Massachusetts,USA,02115","Augmented Cognition Lab, Department of Electrical &#x0026; Computer Engineering, Northeastern University, Boston, Massachusetts 02115, USA; Institute for Experiential AI, Roux Institute, Northeastern University, Portland, Maine 04101, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Northeastern University,Augmented Cognition Lab,Department of Electrical &#x0026; Computer Engineering,Boston,Massachusetts,USA,02115","institution_ids":["https://openalex.org/I12912129"]},{"raw_affiliation_string":"Augmented Cognition Lab, Department of Electrical &#x0026; Computer Engineering, Northeastern University, Boston, Massachusetts 02115, USA; Institute for Experiential AI, Roux Institute, Northeastern University, Portland, Maine 04101, USA","institution_ids":["https://openalex.org/I12912129"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031787107","display_name":"Sarah Ostadabbas","orcid":"https://orcid.org/0000-0002-2216-9988"},"institutions":[{"id":"https://openalex.org/I12912129","display_name":"Northeastern University","ror":"https://ror.org/04t5xt781","country_code":"US","type":"education","lineage":["https://openalex.org/I12912129"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sarah Ostadabbas","raw_affiliation_strings":["Northeastern University,Augmented Cognition Lab,Department of Electrical &#x0026; Computer Engineering,Boston,Massachusetts,USA,02115","Augmented Cognition Lab, Department of Electrical &#x0026; Computer Engineering, Northeastern University, Boston, Massachusetts 02115, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Northeastern University,Augmented Cognition Lab,Department of Electrical &#x0026; Computer Engineering,Boston,Massachusetts,USA,02115","institution_ids":["https://openalex.org/I12912129"]},{"raw_affiliation_string":"Augmented Cognition Lab, Department of Electrical &#x0026; Computer Engineering, Northeastern University, Boston, Massachusetts 02115, USA","institution_ids":["https://openalex.org/I12912129"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I12912129"],"apc_list":null,"apc_paid":null,"fwci":1.1131,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.76530309,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":"11","issue":"6","first_page":"1399","last_page":"1406"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9983000159263611,"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"}},"topics":[{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","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"}},{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9746999740600586,"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":0.9485999941825867,"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/pose","display_name":"Pose","score":0.6763418912887573},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.6362606287002563},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6296820640563965},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.6118529438972473},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6016712784767151},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics","score":0.559557318687439},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4704151451587677},{"id":"https://openalex.org/keywords/graphics","display_name":"Graphics","score":0.4109051823616028},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.40641719102859497},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.3736245036125183},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3633591830730438},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10582217574119568}],"concepts":[{"id":"https://openalex.org/C52102323","wikidata":"https://www.wikidata.org/wiki/Q1671968","display_name":"Pose","level":2,"score":0.6763418912887573},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.6362606287002563},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6296820640563965},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.6118529438972473},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6016712784767151},{"id":"https://openalex.org/C77660652","wikidata":"https://www.wikidata.org/wiki/Q150971","display_name":"Computer graphics","level":2,"score":0.559557318687439},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4704151451587677},{"id":"https://openalex.org/C21442007","wikidata":"https://www.wikidata.org/wiki/Q1027879","display_name":"Graphics","level":2,"score":0.4109051823616028},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40641719102859497},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.3736245036125183},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3633591830730438},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10582217574119568},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.26599/cvm.2025.9450471","is_oa":true,"landing_page_url":"https://doi.org/10.26599/cvm.2025.9450471","pdf_url":null,"source":{"id":"https://openalex.org/S2487656537","display_name":"Computational Visual Media","issn_l":"2096-0433","issn":["2096-0433","2096-0662"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational Visual Media","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:23a6245ef41b41a99313c8ef6f66bd07","is_oa":true,"landing_page_url":"https://doaj.org/article/23a6245ef41b41a99313c8ef6f66bd07","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Computational Visual Media, Vol 11, Iss 6, Pp 1399-1406 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.26599/cvm.2025.9450471","is_oa":true,"landing_page_url":"https://doi.org/10.26599/cvm.2025.9450471","pdf_url":null,"source":{"id":"https://openalex.org/S2487656537","display_name":"Computational Visual Media","issn_l":"2096-0433","issn":["2096-0433","2096-0662"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational Visual Media","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.44999998807907104,"display_name":"Climate action","id":"https://metadata.un.org/sdg/13"}],"awards":[{"id":"https://openalex.org/G5060622961","display_name":"CRII: SCH: Semi-Supervised Physics-Based Generative Model for Data Augmentation and Cross-Modality Data Reconstruction","funder_award_id":"1755695","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1967554269","https://openalex.org/W2101032778","https://openalex.org/W2483862638","https://openalex.org/W2895748257","https://openalex.org/W2963527086","https://openalex.org/W2963995996","https://openalex.org/W2981637078","https://openalex.org/W4214821076"],"related_works":["https://openalex.org/W2123263858","https://openalex.org/W3127959533","https://openalex.org/W4387967917","https://openalex.org/W4387968151","https://openalex.org/W4386925306","https://openalex.org/W3132124459","https://openalex.org/W2946083937","https://openalex.org/W3101088080","https://openalex.org/W2894986065","https://openalex.org/W4299867837"],"abstract_inverted_index":{"Estimating":[0],"3D":[1,24,58,79,91,133],"human":[2,26,80,92,134],"pose":[3,59,81,87,93,135],"from":[4,89],"2D":[5,30],"images":[6,31,71],"in":[7,34,105,121],"real":[8],"world":[9],"contexts":[10],"remains":[11],"a":[12,46,54,164],"challenge,":[13],"characterized":[14],"by":[15],"unique":[16],"data":[17,42,101,145],"constraints.":[18],"Large":[19],"general":[20,90],"datasets":[21,94],"of":[22,39,155],"motion-captured":[23,41],"adult":[25,123],"poses":[27],"paired":[28],"with":[29,99,158],"exist,":[32],"but":[33],"many":[35],"application":[36],"settings,":[37],"collection":[38],"further":[40],"is":[43,161],"impossible,":[44],"precluding":[45],"straightforward":[47],"fine-tuning":[48],"approach":[49],"to":[50,63,102],"adaptation.":[51],"We":[52,111],"present":[53],"method":[55,84],"for":[56],"improving":[57],"estimation":[60,83],"transfer":[61],"learning":[62,104],"domains":[64],"where":[65],"there":[66],"are":[67,146],"only":[68],"depth":[69,100],"camera":[70],"available":[72,148,162],"as":[73,126,128,163],"supervision.":[74],"Our":[75,141],"heuristic":[76],"weakly":[77],"supervised":[78],"(HW-HuP)":[82],"learns":[85],"partial":[86],"priors":[88],"and":[95,108,144],"employs":[96],"weak":[97],"supervision":[98,139],"guide":[103],"an":[106],"optimization":[107],"regression":[109],"cycle.":[110],"show":[112],"that":[113],"HW-HuP":[114],"meaningfully":[115],"improves":[116],"upon":[117],"state-":[118],"of-the-art":[119],"models":[120],"the":[122],"in-bed":[124],"setting,":[125],"well":[127],"on":[129,166],"large":[130],"scale":[131],"public":[132],"datasets,":[136],"under":[137],"comparable":[138],"conditions.":[140],"model":[142],"code":[143],"publicly":[147],"at":[149,168],"https://github.com/ostadabbas/hw-hup.":[150],"A":[151],"significantly":[152],"expanded":[153],"version":[154],"this":[156],"paper,":[157],"supplementary":[159],"material,":[160],"preprint":[165],"arXiv":[167],"https://arxiv.org/abs/2105.10996.":[169]},"counts_by_year":[{"year":2026,"cited_by_count":2}],"updated_date":"2026-07-17T09:13:05.818461","created_date":"2025-10-10T00:00:00"}
