{"id":"https://openalex.org/W7151734589","doi":"https://doi.org/10.48550/arxiv.2604.05748","title":"SVC 2026: the Second Multimodal Deception Detection Challenge and the First Domain Generalized Remote Physiological Measurement Challenge","display_name":"SVC 2026: the Second Multimodal Deception Detection Challenge and the First Domain Generalized Remote Physiological Measurement Challenge","publication_year":2026,"publication_date":"2026-04-07","ids":{"openalex":"https://openalex.org/W7151734589","doi":"https://doi.org/10.48550/arxiv.2604.05748"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2604.05748","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.05748","pdf_url":null,"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":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2604.05748","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5133203303","display_name":"Dongliang Zhu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhu, Dongliang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040843842","display_name":"Zhiyi Niu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Niu, Zhiyi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133166032","display_name":"Bo Zhao","orcid":"https://orcid.org/0000-0003-2493-4732"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhao, Bo","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079560261","display_name":"Jiajian Huang","orcid":"https://orcid.org/0009-0005-9298-7950"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Huang, Jiajian","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133206867","display_name":"Shuo Ye","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ye, Shuo","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133171865","display_name":"Xun Lin","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lin, Xun","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133184238","display_name":"Hui Ma","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ma, Hui","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133224012","display_name":"Taorui Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Taorui","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133171412","display_name":"Jiayu Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Jiayu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133211651","display_name":"Chunmei Zhu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhu, Chunmei","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5130411175","display_name":"Junzhe Cao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Cao, Junzhe","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102919908","display_name":"Yingjie Ma","orcid":"https://orcid.org/0000-0003-0749-2290"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ma, Yingjie","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082889047","display_name":"Rencheng Song","orcid":"https://orcid.org/0000-0001-7760-7562"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Song, Rencheng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5126863742","display_name":"Albert Clap\u00e9s","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Clap\u00e9s, Albert","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133223205","display_name":"Sergio Escalera","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Escalera, Sergio","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133154104","display_name":"Dan Guo","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Guo, Dan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5133183301","display_name":"Zitong Yu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yu, Zitong","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12268","display_name":"Deception detection and forensic psychology","score":0.4812000095844269,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T12268","display_name":"Deception detection and forensic psychology","score":0.4812000095844269,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.14550000429153442,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11196","display_name":"Non-Invasive Vital Sign Monitoring","score":0.07249999791383743,"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/deception","display_name":"Deception","score":0.6859999895095825},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5982999801635742},{"id":"https://openalex.org/keywords/biometrics","display_name":"Biometrics","score":0.5652999877929688},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.5090000033378601},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5034000277519226},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.4722999930381775},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.45159998536109924},{"id":"https://openalex.org/keywords/perspective","display_name":"Perspective (graphical)","score":0.35120001435279846},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.3375999927520752}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7121999859809875},{"id":"https://openalex.org/C2779267917","wikidata":"https://www.wikidata.org/wiki/Q170028","display_name":"Deception","level":2,"score":0.6859999895095825},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5982999801635742},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.59579998254776},{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.5652999877929688},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.5543000102043152},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.5090000033378601},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5034000277519226},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4722999930381775},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.45159998536109924},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35350000858306885},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.35120001435279846},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.3375999927520752},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.3255999982357025},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.30799999833106995},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.3077999949455261},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.3005000054836273},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.29980000853538513},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.295199990272522},{"id":"https://openalex.org/C178253425","wikidata":"https://www.wikidata.org/wiki/Q162668","display_name":"Visual perception","level":3,"score":0.29089999198913574},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.289000004529953},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.2680000066757202},{"id":"https://openalex.org/C2776437466","wikidata":"https://www.wikidata.org/wiki/Q60920","display_name":"Lie detection","level":3,"score":0.2653000056743622},{"id":"https://openalex.org/C66024118","wikidata":"https://www.wikidata.org/wiki/Q1122506","display_name":"Computational model","level":2,"score":0.26429998874664307},{"id":"https://openalex.org/C2776240099","wikidata":"https://www.wikidata.org/wiki/Q327018","display_name":"Interrogation","level":2,"score":0.25529998540878296},{"id":"https://openalex.org/C164280684","wikidata":"https://www.wikidata.org/wiki/Q5529040","display_name":"Gaze-contingency paradigm","level":4,"score":0.2551000118255615}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2604.05748","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.05748","pdf_url":null,"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":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2604.05748","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.05748","pdf_url":null,"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":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Subtle":[0,105],"visual":[1,20,106,116,149],"signals,":[2],"although":[3],"difficult":[4],"to":[5,110,170],"perceive":[6],"with":[7],"the":[8,44,104,139,175,183],"naked":[9],"eye,":[10],"contain":[11],"important":[12],"information":[13],"that":[14,134],"can":[15],"reveal":[16],"hidden":[17],"patterns":[18],"in":[19,28,81,93,99,155],"data.":[21],"These":[22],"signals":[23,59,92],"play":[24],"a":[25],"key":[26],"role":[27],"many":[29],"applications,":[30],"including":[31],"biometric":[32],"security,":[33],"multimedia":[34],"forensics,":[35],"medical":[36],"diagnosis,":[37],"industrial":[38],"inspection,":[39],"and":[40,50,55,76,85,90,127,144,151,158,174],"affective":[41],"computing.":[42],"With":[43],"rapid":[45],"development":[46,140],"of":[47,141,163],"computer":[48,156],"vision":[49,157],"representation":[51,83],"learning":[52],"techniques,":[53],"detecting":[54],"interpreting":[56],"such":[57],"subtle":[58,89,115,148],"has":[60],"become":[61],"an":[62],"emerging":[63],"research":[64,98,154],"direction.":[65],"However,":[66],"existing":[67],"studies":[68],"often":[69],"focus":[70],"on":[71,182],"specific":[72],"tasks":[73],"or":[74],"modalities,":[75],"models":[77,146,178],"still":[78],"face":[79],"challenges":[80],"robustness,":[82],"ability,":[84],"generalization":[86],"when":[87],"handling":[88],"weak":[91],"real-world":[94],"environments.":[95],"To":[96],"promote":[97],"this":[100,135,171],"area,":[101],"we":[102],"organize":[103],"Challenge,":[107],"which":[108],"aims":[109],"learn":[111],"robust":[112,143],"representations":[113],"for":[114,147],"signals.":[117],"The":[118],"challenge":[119,136],"includes":[120],"two":[121],"tasks:":[122],"cross-domain":[123],"multimodal":[124,159],"deception":[125],"detection":[126],"remote":[128],"photoplethysmography":[129],"(rPPG)":[130],"estimation.":[131],"We":[132],"hope":[133],"will":[137],"encourage":[138],"more":[142],"generalizable":[145],"understanding,":[150],"further":[152],"advance":[153],"learning.":[160],"A":[161],"total":[162],"22":[164],"teams":[165],"submitted":[166],"their":[167],"final":[168],"results":[169],"workshop":[172],"competition,":[173],"corresponding":[176],"baseline":[177],"have":[179],"been":[180],"released":[181],"\\href{https://sites.google.com/view/svc-cvpr26}{MMDD2026":[184],"platform}\\footnote{https://sites.google.com/view/svc-cvpr26}":[185]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-04-09T00:00:00"}
