BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Venue Radar//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-WR-CALNAME:IJCB 2027 Calendar
BEGIN:VEVENT
UID:ijcb-2027-deadline-full-paper@scientific-conference-calendar
DTSTAMP:19700101T000000Z
DTSTART:20270410T115900Z
DTEND:20270410T125900Z
SUMMARY:[Biometrics & Human Sensing][Computer Vision & Pattern Recognition]
  IJCB 2027 - Full paper submission deadline
DESCRIPTION:Conference title: IEEE/IAPR International Joint Conference on B
 iometrics\nWebsite: https://ijcb2027.ieee-biometrics.org/\nSource URL: ht
 tps://ijcb2027.ieee-biometrics.org/call-for-papers/\nLocation: Foz do Igu
 acu\, Brazil\nTopics: Biometrics & Human Sensing\, Computer Vision & Patt
 ern Recognition\, Deep Representation Learning\, Privacy-preserving ML\nS
 ize: M\nSubmission type: Paper-based / biometrics and identity science\nC
 onfidence: confirmed\nLast checked date: 2026-10-07\nNotes: Official 2027
  CFP confirms Foz do Iguacu\, September 13-17\, March 15 submission openi
 ng\, and April 9 paper cutoff\; its date table specifies 23:59 AoE for al
 l dates. IJCB combines BTAS and ICB\; do not create duplicate rows or inh
 erit a distinct predecessor's rankings. M is an editorial estimate.\nScop
 e: Biometrics and identity science across face\, fingerprint\, iris\, voi
 ce\, gait\, and behavioral modalities. Defining concerns include recognit
 ion and verification\, multimodal fusion\, presentation-attack and deepfa
 ke detection\, biometric template security\, privacy\, demographic fairne
 ss\, and rigorous benchmarking. Learned representations and foundation mo
 dels are important methods\; federated learning belongs here through secu
 re biometric systems. Healthcare\, banking\, and robotics are application
 s\, not blanket scope tags.\nAdditional topics: Machine Learning\, Robust
 ness & Safety\, Fairness & Responsible AI\, Explainability & Interpretabi
 lity\, Federated & Distributed Learning\, Signal Processing\nScope source
 s (2027): https://ijcb2027.ieee-biometrics.org/call-for-papers/\nScope la
 st checked: 2026-10-07
URL:https://ijcb2027.ieee-biometrics.org/call-for-papers/
END:VEVENT
BEGIN:VEVENT
UID:ijcb-2027-deadline-supplementary@scientific-conference-calendar
DTSTAMP:19700101T000000Z
DTSTART:20270417T115900Z
DTEND:20270417T125900Z
SUMMARY:[Biometrics & Human Sensing][Computer Vision & Pattern Recognition]
  IJCB 2027 - Supplementary material deadline
DESCRIPTION:Conference title: IEEE/IAPR International Joint Conference on B
 iometrics\nWebsite: https://ijcb2027.ieee-biometrics.org/\nSource URL: ht
 tps://ijcb2027.ieee-biometrics.org/call-for-papers/\nLocation: Foz do Igu
 acu\, Brazil\nTopics: Biometrics & Human Sensing\, Computer Vision & Patt
 ern Recognition\, Deep Representation Learning\, Privacy-preserving ML\nS
 ize: M\nSubmission type: Paper-based / biometrics and identity science\nC
 onfidence: confirmed\nLast checked date: 2026-10-07\nNotes: Official 2027
  CFP confirms Foz do Iguacu\, September 13-17\, March 15 submission openi
 ng\, and April 9 paper cutoff\; its date table specifies 23:59 AoE for al
 l dates. IJCB combines BTAS and ICB\; do not create duplicate rows or inh
 erit a distinct predecessor's rankings. M is an editorial estimate.\nScop
 e: Biometrics and identity science across face\, fingerprint\, iris\, voi
 ce\, gait\, and behavioral modalities. Defining concerns include recognit
 ion and verification\, multimodal fusion\, presentation-attack and deepfa
 ke detection\, biometric template security\, privacy\, demographic fairne
 ss\, and rigorous benchmarking. Learned representations and foundation mo
 dels are important methods\; federated learning belongs here through secu
 re biometric systems. Healthcare\, banking\, and robotics are application
 s\, not blanket scope tags.\nAdditional topics: Machine Learning\, Robust
 ness & Safety\, Fairness & Responsible AI\, Explainability & Interpretabi
 lity\, Federated & Distributed Learning\, Signal Processing\nScope source
 s (2027): https://ijcb2027.ieee-biometrics.org/call-for-papers/\nScope la
 st checked: 2026-10-07
URL:https://ijcb2027.ieee-biometrics.org/call-for-papers/
END:VEVENT
BEGIN:VEVENT
UID:ijcb-2027-deadline-camera-ready@scientific-conference-calendar
DTSTAMP:19700101T000000Z
DTSTART:20270803T115900Z
DTEND:20270803T125900Z
SUMMARY:[Biometrics & Human Sensing][Computer Vision & Pattern Recognition]
  IJCB 2027 - Camera-ready and author registration deadline
DESCRIPTION:Conference title: IEEE/IAPR International Joint Conference on B
 iometrics\nWebsite: https://ijcb2027.ieee-biometrics.org/\nSource URL: ht
 tps://ijcb2027.ieee-biometrics.org/important-dates/\nLocation: Foz do Igu
 acu\, Brazil\nTopics: Biometrics & Human Sensing\, Computer Vision & Patt
 ern Recognition\, Deep Representation Learning\, Privacy-preserving ML\nS
 ize: M\nSubmission type: Paper-based / biometrics and identity science\nC
 onfidence: confirmed\nLast checked date: 2026-10-07\nNotes: Official 2027
  CFP confirms Foz do Iguacu\, September 13-17\, March 15 submission openi
 ng\, and April 9 paper cutoff\; its date table specifies 23:59 AoE for al
 l dates. IJCB combines BTAS and ICB\; do not create duplicate rows or inh
 erit a distinct predecessor's rankings. M is an editorial estimate.\nScop
 e: Biometrics and identity science across face\, fingerprint\, iris\, voi
 ce\, gait\, and behavioral modalities. Defining concerns include recognit
 ion and verification\, multimodal fusion\, presentation-attack and deepfa
 ke detection\, biometric template security\, privacy\, demographic fairne
 ss\, and rigorous benchmarking. Learned representations and foundation mo
 dels are important methods\; federated learning belongs here through secu
 re biometric systems. Healthcare\, banking\, and robotics are application
 s\, not blanket scope tags.\nAdditional topics: Machine Learning\, Robust
 ness & Safety\, Fairness & Responsible AI\, Explainability & Interpretabi
 lity\, Federated & Distributed Learning\, Signal Processing\nScope source
 s (2027): https://ijcb2027.ieee-biometrics.org/call-for-papers/\nScope la
 st checked: 2026-10-07
URL:https://ijcb2027.ieee-biometrics.org/important-dates/
END:VEVENT
BEGIN:VEVENT
UID:ijcb-2027-conference@scientific-conference-calendar
DTSTAMP:19700101T000000Z
DTSTART;VALUE=DATE:20270913
DTEND;VALUE=DATE:20270918
SUMMARY:[Biometrics & Human Sensing][Computer Vision & Pattern Recognition]
  IJCB 2027 - Conference
DESCRIPTION:Conference title: IEEE/IAPR International Joint Conference on B
 iometrics\nWebsite: https://ijcb2027.ieee-biometrics.org/\nSource URL: ht
 tps://ijcb2027.ieee-biometrics.org/important-dates/\nLocation: Foz do Igu
 acu\, Brazil\nTopics: Biometrics & Human Sensing\, Computer Vision & Patt
 ern Recognition\, Deep Representation Learning\, Privacy-preserving ML\nS
 ize: M\nSubmission type: Paper-based / biometrics and identity science\nC
 onfidence: confirmed\nLast checked date: 2026-10-07\nNotes: Official 2027
  CFP confirms Foz do Iguacu\, September 13-17\, March 15 submission openi
 ng\, and April 9 paper cutoff\; its date table specifies 23:59 AoE for al
 l dates. IJCB combines BTAS and ICB\; do not create duplicate rows or inh
 erit a distinct predecessor's rankings. M is an editorial estimate.\nScop
 e: Biometrics and identity science across face\, fingerprint\, iris\, voi
 ce\, gait\, and behavioral modalities. Defining concerns include recognit
 ion and verification\, multimodal fusion\, presentation-attack and deepfa
 ke detection\, biometric template security\, privacy\, demographic fairne
 ss\, and rigorous benchmarking. Learned representations and foundation mo
 dels are important methods\; federated learning belongs here through secu
 re biometric systems. Healthcare\, banking\, and robotics are application
 s\, not blanket scope tags.\nAdditional topics: Machine Learning\, Robust
 ness & Safety\, Fairness & Responsible AI\, Explainability & Interpretabi
 lity\, Federated & Distributed Learning\, Signal Processing\nScope source
 s (2027): https://ijcb2027.ieee-biometrics.org/call-for-papers/\nScope la
 st checked: 2026-10-07
URL:https://ijcb2027.ieee-biometrics.org/important-dates/
LOCATION:Foz do Iguacu\, Brazil
END:VEVENT
END:VCALENDAR