{"id":"https://openalex.org/W4403791418","doi":"https://doi.org/10.1145/3664647.3680670","title":"Cluster-Phys: Facial Clues Clustering Towards Efficient Remote Physiological Measurement","display_name":"Cluster-Phys: Facial Clues Clustering Towards Efficient Remote Physiological Measurement","publication_year":2024,"publication_date":"2024-10-26","ids":{"openalex":"https://openalex.org/W4403791418","doi":"https://doi.org/10.1145/3664647.3680670"},"language":"en","primary_location":{"id":"doi:10.1145/3664647.3680670","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3664647.3680670","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 32nd 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/A5079004601","display_name":"Wei Qian","orcid":"https://orcid.org/0009-0007-9467-6296"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Qian","raw_affiliation_strings":["School of Computer Science and Information Engineering, School of Artificial Intelligence, Hefei University of Technology, Hefei, China"],"raw_orcid":"https://orcid.org/0009-0007-9467-6296","affiliations":[{"raw_affiliation_string":"School of Computer Science and Information Engineering, School of Artificial Intelligence, Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100377498","display_name":"Kun Li","orcid":"https://orcid.org/0000-0001-5083-2145"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kun Li","raw_affiliation_strings":["CCAI, Zhejiang University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-5083-2145","affiliations":[{"raw_affiliation_string":"CCAI, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059530979","display_name":"Dan Guo","orcid":"https://orcid.org/0000-0003-2594-254X"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dan Guo","raw_affiliation_strings":["Hefei University of Technology & Institute of Artificial Intelligence (IAI), Hefei Comprehensive National Science Center, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0003-2594-254X","affiliations":[{"raw_affiliation_string":"Hefei University of Technology & Institute of Artificial Intelligence (IAI), Hefei Comprehensive National Science Center, Hefei, China","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100380066","display_name":"Bin Hu","orcid":"https://orcid.org/0000-0003-3514-5413"},"institutions":[{"id":"https://openalex.org/I76214153","display_name":"Lanzhou University","ror":"https://ror.org/01mkqqe32","country_code":"CN","type":"education","lineage":["https://openalex.org/I76214153"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Hu","raw_affiliation_strings":["Gansu Provincial Key Laboratory of Wearable Computing, School of Information Science and Engineering, Lanzhou University, Lanzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-3514-5413","affiliations":[{"raw_affiliation_string":"Gansu Provincial Key Laboratory of Wearable Computing, School of Information Science and Engineering, Lanzhou University, Lanzhou, China","institution_ids":["https://openalex.org/I76214153"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100377147","display_name":"Meng Wang","orcid":"https://orcid.org/0000-0002-3094-7735"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Meng Wang","raw_affiliation_strings":["Hefei University of Technology & Institute of Artificial Intelligence (IAI), Hefei Comprehensive National Science Center, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0002-3094-7735","affiliations":[{"raw_affiliation_string":"Hefei University of Technology & Institute of Artificial Intelligence (IAI), Hefei Comprehensive National Science Center, Hefei, China","institution_ids":["https://openalex.org/I16365422"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"330","last_page":"339"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11196","display_name":"Non-Invasive Vital Sign Monitoring","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9878000020980835,"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/T11021","display_name":"ECG Monitoring and Analysis","score":0.9799000024795532,"subfield":{"id":"https://openalex.org/subfields/2705","display_name":"Cardiology and Cardiovascular Medicine"},"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/cluster-analysis","display_name":"Cluster analysis","score":0.6913042664527893},{"id":"https://openalex.org/keywords/cluster","display_name":"Cluster (spacecraft)","score":0.6694435477256775},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6296320557594299},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3436613082885742},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.15826556086540222}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6913042664527893},{"id":"https://openalex.org/C164866538","wikidata":"https://www.wikidata.org/wiki/Q367351","display_name":"Cluster (spacecraft)","level":2,"score":0.6694435477256775},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6296320557594299},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3436613082885742},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.15826556086540222}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3664647.3680670","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3664647.3680670","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 32nd ACM International Conference on Multimedia","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":57,"referenced_works":["https://openalex.org/W1984554603","https://openalex.org/W1986273245","https://openalex.org/W1998391547","https://openalex.org/W2003922338","https://openalex.org/W2008821584","https://openalex.org/W2044935899","https://openalex.org/W2069692225","https://openalex.org/W2106822551","https://openalex.org/W2218803975","https://openalex.org/W2268194897","https://openalex.org/W2472200183","https://openalex.org/W2520509592","https://openalex.org/W2596164567","https://openalex.org/W2766766681","https://openalex.org/W2787182113","https://openalex.org/W2805424946","https://openalex.org/W2903521046","https://openalex.org/W2913111755","https://openalex.org/W2958501326","https://openalex.org/W2963433879","https://openalex.org/W2982196965","https://openalex.org/W2986906199","https://openalex.org/W3014415343","https://openalex.org/W3020225364","https://openalex.org/W3033778765","https://openalex.org/W3087922470","https://openalex.org/W3100063341","https://openalex.org/W3108080438","https://openalex.org/W3110179947","https://openalex.org/W3120068059","https://openalex.org/W3135485589","https://openalex.org/W3173279311","https://openalex.org/W3175452902","https://openalex.org/W3204093119","https://openalex.org/W3204118251","https://openalex.org/W3204485253","https://openalex.org/W3208507240","https://openalex.org/W3215348150","https://openalex.org/W4309660795","https://openalex.org/W4312358294","https://openalex.org/W4312829251","https://openalex.org/W4319300066","https://openalex.org/W4320913003","https://openalex.org/W4323663038","https://openalex.org/W4382466704","https://openalex.org/W4385237414","https://openalex.org/W4385825476","https://openalex.org/W4386066541","https://openalex.org/W4386075654","https://openalex.org/W4386076265","https://openalex.org/W4390873428","https://openalex.org/W4391216149","https://openalex.org/W4392207717","https://openalex.org/W4393148371","https://openalex.org/W4393178524","https://openalex.org/W4399474077","https://openalex.org/W4402754220"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Remote":[0],"photoplethysmography":[1],"(rPPG)":[2],"measurement":[3,87],"aims":[4],"to":[5,57,99,154],"estimate":[6],"physiological":[7,86],"signals":[8],"by":[9,16],"analyzing":[10],"subtle":[11],"skin":[12],"color":[13],"changes":[14],"induced":[15],"heartbeats":[17],"in":[18,68],"facial":[19,33,48,70,94,104,108,113,129,156],"videos.":[20],"Existing":[21],"methods":[22],"primarily":[23],"rely":[24],"on":[25,173],"the":[26,40,64,102,141],"fundamental":[27],"video":[28],"frame":[29,74],"features":[30,106],"or":[31],"vanilla":[32],"ROI":[34,95,105,120],"(region":[35],"of":[36,46,63],"interest)":[37],"features.":[38,121],"Recognizing":[39],"varying":[41],"light":[42],"absorption":[43],"and":[44,75,110,135,164,176],"reactions":[45],"different":[47,69],"regions":[49,71],"over":[50],"time,":[51],"we":[52,80,146],"adopt":[53],"a":[54,59,82,93,132,149],"new":[55],"perspective":[56],"conduct":[58],"more":[60,133],"fine-grained":[61],"exploration":[62],"key":[65],"clues":[66,130],"present":[67],"within":[72],"each":[73],"across":[76],"temporal":[77,165],"frames.":[78],"Concretely,":[79],"propose":[81,148],"novel":[83],"clustering-driven":[84],"remote":[85],"framework":[88],"called":[89],"Cluster-Phys,":[90],"which":[91],"employs":[92],"prototypical":[96],"clustering":[97],"module":[98,153],"adaptively":[100],"cluster":[101],"representative":[103],"as":[107],"prototypes":[109,114],"then":[111],"update":[112],"with":[115,189],"highly":[116],"semantic":[117],"correlated":[118],"base":[119],"In":[122],"this":[123],"way,":[124],"our":[125,183],"approach":[126],"can":[127],"mine":[128],"from":[131,159],"compact":[134],"informative":[136],"prototype":[137,151,157],"level":[138],"rather":[139],"than":[140],"conventional":[142],"video/ROI":[143],"level.":[144],"Furthermore,":[145],"also":[147],"spatial-temporal":[150],"interaction":[152],"learn":[155],"correlation":[158],"both":[160,174],"spatial":[161],"(across":[162],"prototypes)":[163],"(within":[166],"prototype)":[167],"perspectives.":[168],"Extensive":[169],"experiments":[170],"are":[171],"conducted":[172],"intra-dataset":[175],"cross-dataset":[177],"tests.":[178],"The":[179,193],"results":[180],"show":[181],"that":[182],"Cluster-Phys":[184],"achieves":[185],"significant":[186],"performance":[187],"improvement":[188],"less":[190],"computation":[191],"consumption.":[192],"source":[194],"code":[195],"will":[196],"be":[197],"available":[198],"at":[199],"https://github.com/VUT-HFUT/ClusterPhys.":[200]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":11},{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2024-10-27T00:00:00"}