{"id":"https://openalex.org/W4390873428","doi":"https://doi.org/10.1109/iccv51070.2023.01882","title":"Contactless Pulse Estimation Leveraging Pseudo Labels and Self-Supervision","display_name":"Contactless Pulse Estimation Leveraging Pseudo Labels and Self-Supervision","publication_year":2023,"publication_date":"2023-10-01","ids":{"openalex":"https://openalex.org/W4390873428","doi":"https://doi.org/10.1109/iccv51070.2023.01882"},"language":"en","primary_location":{"id":"doi:10.1109/iccv51070.2023.01882","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccv51070.2023.01882","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE/CVF International Conference on Computer Vision (ICCV)","raw_type":"proceedings-article"},"type":"article","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/A5100319824","display_name":"Zhihua Li","orcid":"https://orcid.org/0000-0001-8002-1730"},"institutions":[{"id":"https://openalex.org/I123946342","display_name":"Binghamton University","ror":"https://ror.org/008rmbt77","country_code":"US","type":"education","lineage":["https://openalex.org/I123946342"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Zhihua Li","raw_affiliation_strings":["Binghamton University,Department of Computer Science","Department of Computer Science, Binghamton University"],"affiliations":[{"raw_affiliation_string":"Binghamton University,Department of Computer Science","institution_ids":["https://openalex.org/I123946342"]},{"raw_affiliation_string":"Department of Computer Science, Binghamton University","institution_ids":["https://openalex.org/I123946342"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100411653","display_name":"Lijun Yin","orcid":"https://orcid.org/0000-0002-0343-7190"},"institutions":[{"id":"https://openalex.org/I123946342","display_name":"Binghamton University","ror":"https://ror.org/008rmbt77","country_code":"US","type":"education","lineage":["https://openalex.org/I123946342"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lijun Yin","raw_affiliation_strings":["Binghamton University,Department of Computer Science","Department of Computer Science, Binghamton University"],"affiliations":[{"raw_affiliation_string":"Binghamton University,Department of Computer Science","institution_ids":["https://openalex.org/I123946342"]},{"raw_affiliation_string":"Department of Computer Science, Binghamton University","institution_ids":["https://openalex.org/I123946342"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100319824"],"corresponding_institution_ids":["https://openalex.org/I123946342"],"apc_list":null,"apc_paid":null,"fwci":1.3463,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.79467894,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"20531","last_page":"20540"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11196","display_name":"Non-Invasive Vital Sign Monitoring","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T11196","display_name":"Non-Invasive Vital Sign Monitoring","score":1.0,"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/T10977","display_name":"Optical Imaging and Spectroscopy Techniques","score":0.9937999844551086,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T13248","display_name":"Healthcare Technology and Patient Monitoring","score":0.9871000051498413,"subfield":{"id":"https://openalex.org/subfields/2746","display_name":"Surgery"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.818710446357727},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6466890573501587},{"id":"https://openalex.org/keywords/supervised-learning","display_name":"Supervised learning","score":0.5537049174308777},{"id":"https://openalex.org/keywords/photoplethysmogram","display_name":"Photoplethysmogram","score":0.5507810115814209},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5182716250419617},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.42462772130966187},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.4231695830821991},{"id":"https://openalex.org/keywords/annotation","display_name":"Annotation","score":0.4115879535675049},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.34467780590057373},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.2424134910106659},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.10700175166130066}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.818710446357727},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6466890573501587},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.5537049174308777},{"id":"https://openalex.org/C116390426","wikidata":"https://www.wikidata.org/wiki/Q7187885","display_name":"Photoplethysmogram","level":3,"score":0.5507810115814209},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5182716250419617},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.42462772130966187},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.4231695830821991},{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.4115879535675049},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34467780590057373},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.2424134910106659},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.10700175166130066},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iccv51070.2023.01882","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccv51070.2023.01882","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE/CVF International Conference on Computer Vision (ICCV)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Life below water","id":"https://metadata.un.org/sdg/14","score":0.44999998807907104}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":66,"referenced_works":["https://openalex.org/W46948191","https://openalex.org/W1967067747","https://openalex.org/W1968909329","https://openalex.org/W1971882374","https://openalex.org/W1984554603","https://openalex.org/W1998391547","https://openalex.org/W2003922338","https://openalex.org/W2008821584","https://openalex.org/W2016778993","https://openalex.org/W2069692225","https://openalex.org/W2087766611","https://openalex.org/W2294538572","https://openalex.org/W2424269919","https://openalex.org/W2472200183","https://openalex.org/W2488101143","https://openalex.org/W2520509592","https://openalex.org/W2566079294","https://openalex.org/W2622100130","https://openalex.org/W2766766681","https://openalex.org/W2788816357","https://openalex.org/W2903521046","https://openalex.org/W2908510526","https://openalex.org/W2911279176","https://openalex.org/W2963433879","https://openalex.org/W2963524571","https://openalex.org/W2963735582","https://openalex.org/W2964700958","https://openalex.org/W2979931389","https://openalex.org/W2982196965","https://openalex.org/W2986906199","https://openalex.org/W3020225364","https://openalex.org/W3033778765","https://openalex.org/W3042609801","https://openalex.org/W3100063341","https://openalex.org/W3110179947","https://openalex.org/W3120068059","https://openalex.org/W3120612350","https://openalex.org/W3140854437","https://openalex.org/W3165864621","https://openalex.org/W3173279311","https://openalex.org/W3179019647","https://openalex.org/W3204093119","https://openalex.org/W3209767326","https://openalex.org/W3209770578","https://openalex.org/W3210697041","https://openalex.org/W3211210976","https://openalex.org/W3211289126","https://openalex.org/W3217591046","https://openalex.org/W4292794016","https://openalex.org/W4310263654","https://openalex.org/W4312358294","https://openalex.org/W4312829251","https://openalex.org/W6601908271","https://openalex.org/W6677082149","https://openalex.org/W6738471490","https://openalex.org/W6740005241","https://openalex.org/W6745995898","https://openalex.org/W6751647823","https://openalex.org/W6753772092","https://openalex.org/W6757817989","https://openalex.org/W6758334222","https://openalex.org/W6761059766","https://openalex.org/W6761855008","https://openalex.org/W6762563763","https://openalex.org/W6778939222","https://openalex.org/W6779709574"],"related_works":["https://openalex.org/W2732360296","https://openalex.org/W1994871954","https://openalex.org/W4297152434","https://openalex.org/W2072858761","https://openalex.org/W1540261775","https://openalex.org/W4390062853","https://openalex.org/W4389256085","https://openalex.org/W4399290976","https://openalex.org/W4285328440","https://openalex.org/W4313644201"],"abstract_inverted_index":{"Remote":[0],"photoplethysmography":[1],"(rPPG)":[2],"is":[3,93],"a":[4,96],"promising":[5],"research":[6,24],"area":[7],"involving":[8],"non-invasive":[9],"monitoring":[10],"of":[11,105,113],"vital":[12],"signs":[13],"using":[14],"cameras.":[15],"While":[16],"several":[17],"supervised":[18,160],"methods":[19,33],"have":[20],"been":[21],"proposed,":[22],"recent":[23],"has":[25],"focused":[26],"on":[27,131],"contrastive-based":[28],"self-supervised":[29,62,82,151],"methods.":[30,91,161],"However,":[31],"these":[32],"often":[34],"collapse":[35],"to":[36,100,121],"learning":[37,63,77],"irrelevant":[38],"periodicities":[39],"when":[40,119],"dealing":[41],"with":[42,84,142,158],"interferences":[43],"such":[44,125,135],"as":[45,126,136],"head":[46],"motions,":[47],"facial":[48],"dynamics,":[49],"and":[50,68,128,138],"video":[51],"compression.":[52],"To":[53],"address":[54],"this":[55],"limitation,":[56],"firstly,":[57],"we":[58,73],"enhance":[59],"the":[60,102,111],"current":[61],"by":[64,95],"introducing":[65],"more":[66],"reliable":[67],"explicit":[69],"contrastive":[70],"constraints.":[71],"Secondly,":[72],"propose":[74],"an":[75],"innovative":[76],"strategy":[78],"that":[79],"seamlessly":[80],"integrates":[81],"constraints":[83],"pseudo-supervisory":[85],"signals":[86],"derived":[87],"from":[88],"traditional":[89],"unsupervised":[90],"This":[92],"followed":[94],"co-rectification":[97],"technique":[98],"designed":[99],"mitigate":[101],"adverse":[103],"effects":[104],"noisy":[106],"pseudo-labels.":[107],"Experimental":[108],"results":[109],"demonstrate":[110],"superiority":[112],"our":[114,140],"methodology":[115],"over":[116],"representative":[117],"models":[118],"applied":[120],"small,":[122],"high-quality":[123],"datasets":[124,134],"PURE":[127],"UBFC-rPPG.":[129],"Importantly,":[130],"large-scale":[132],"challenging":[133],"VIPL-HR":[137],"V4V,":[139],"method,":[141],"zero":[143],"annotation":[144],"cost,":[145],"not":[146],"only":[147],"significantly":[148],"surpasses":[149],"prevailing":[150],"techniques":[152],"but":[153],"also":[154],"showcases":[155],"remarkable":[156],"alignment":[157],"state-of-the-art":[159]},"counts_by_year":[{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":2}],"updated_date":"2026-02-27T16:54:17.756197","created_date":"2025-10-10T00:00:00"}