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IJCB 2027: IEEE/IAPR International Joint Conference on Biometrics

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截稿日期:
2027-04-09 还有 187 天
通知日期:
2027-06-14
会议日期:
2027-09-13
会议地点:
Foz do Iguaçu, Brazil
届数:
CCF: C   ICORE: B   浏览: 38247   关注: 11   参加: 2

会伴指数 (CP-I)

64.3 / 100
全站第 460 名 / 共 5,693 个会议 · 前 9%

计算机视觉与模式识别 第 13 / 246

学术认可 (35%)
72
投稿选择性 (20%) 无数据 —— 按中性基准 50 分计入 —
会议传承 (20%)
71
社区关注 (10%)
44
资料公开度 (15%)
70

用到的输入: 收录等级:CCF C, ICORE B · 有据可查的届次:13 · 在会伴关注它的研究者:11 人 · 过去 24 个月打开过本页的研究者:14 人

公开资料里还缺: 历年录用率 (+4.5)
主办方认领本会议后,可直接在这一页补上;分数每晚重算。如何提升这个分数

置信度 80% —— 分数中有多大比例来自实际观测到的数据,而不是中性基准。 这个分数是怎么算出来的 · 查看完整榜单 · 算法版本 1.1 · 算于 2026-10-04

征稿

IJCB 2027 (IEEE/IAPR International Joint Conference on Biometrics) is a CCF C / ICORE B conference held in Foz do Iguaçu, Brazil on 2027-09-13. The paper submission deadline is 2027-04-09. Acceptance notifications are sent on 2027-06-14.

The IEEE/IAPR International Joint Conference on Biometrics (IJCB 2027) is the premier international forum for research in biometrics and identity science. IJCB combines two flagship conferences—the IEEE Biometrics Theory, Applications, and Systems (BTAS) and the IAPR International Conference on Biometrics (ICB)—under the sponsorship of the IEEE Biometrics Council and the IAPR Technical Committee on Biometrics (TC-4). IJCB 2027 will be held September 13–17, 2027, in Foz do Iguaçu, Brazil, bringing together researchers, practitioners, and industry leaders to present and discuss the latest advances in biometric technologies. We invite submissions of original, high-quality, unpublished research papers describing novel contributions in all areas of biometrics. Topics of Interest Topics include, but are not limited to, the following areas: Biometric modalities: face, fingerprint, iris, palmprint, vein, periocular, ear, speech and speaker recognition, gait, gesture and action recognition, signature, touch dynamics, behavioral biometrics, soft biometrics Media authenticity, provenance, and identity integrity: deepfake detection, synthetic identity detection, AI-generated content verification, media provenance, watermarking, content authentication, digital forensics Multimodal and multispectral biometric systems: multimodal learning, cross-modal learning, sensor fusion, multimodal foundation models, missing-modality learning Presentation Attack Detection (PAD), anti-spoofing, and adversarial robustness: presentation attacks, adversarial attacks, model robustness, model stealing, poisoning attacks, membership inference Template security and privacy protection: biometric cryptosystems, template protection, encryption, secure storage, homomorphic encryption, federated learning, split learning, secure multi-party computation, differential privacy, trusted execution environments Bias, fairness, explainability, transparency, and trustworthy biometrics: demographic performance variations, demographic bias, explainable AI, uncertainty estimation, calibration, robustness, accountability, human-centered AI, accessibility, inclusive biometrics Machine learning and foundation models for biometrics: deep learning, transformers, vision-language models, multimodal foundation models, generative AI, diffusion models, self-supervised learning, representation learning, transfer learning, prompt learning, continual learning, efficient and compact models, edge AI Synthetic biometric data and generative models: synthetic data generation, identity-preserving generation, data augmentation, digital humans, privacy-preserving synthetic identities Evaluation protocols, benchmarking, reproducibility, performance modeling, datasets, and large-scale studies: reproducible research, open benchmarks, dataset governance, data provenance, benchmark design Biometrics in forensics, law enforcement, border control, digital identity, and identity management: large-scale identification, open-set recognition, open-world biometrics, incremental enrollment, decentralized identity, self-sovereign identity, digital identity wallets, verifiable credentials Emerging applications: IoT, wearable devices, mobile biometrics, healthcare, banking, human-computer interaction, continuous authentication, extended reality (AR/VR/MR), spatial computing, robotics, autonomous systems Ethical, legal, and societal implications: responsible AI, human rights, societal acceptance, regulatory compliance (e.g., GDPR, AI Act), sustainability and green biometrics
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2022On the (Limited) Generalization of MasterFace Attacks and Its Relation to the Capacity of Face Representations
2022HEFT: Homomorphically Encrypted Fusion of Biometric Templates
2021LFMB-3DFB: A Large-scale Finger Multi-Biometric Database and Benchmark for 3D Finger Biometrics
2021PointFace: Point Set Based Feature Learning for 3D Face Recognition
2020Specular- and Diffuse-reflection-based Face Spoofing Detection for Mobile Devices
2020Beyond Identity: What Information Is Stored in Biometric Face Templates?
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CCFICORECP-I简称全称截稿日期会议日期
CB81.1FGInternational Conference on Automatic Face and Gesture Recognition2026-10-092027-04-26

相关期刊

CCF全称影响因子出版商ISSN
CImage and Vision Computing5.0Elsevier0262-8856
CEngineering Applications of Artificial Intelligence9.0Elsevier0952-1976
CDiscover Computing1.9Springer2948-2992
BJournal of Systems and Software3.8Elsevier0164-1212
CFuture Generation Computer Systems5.9Elsevier0167-739X
IEEE Transactions on Biometrics, Behavior, and Identity ScienceIEEE2637-6407
CKnowledge-Based Systems7.2Elsevier0950-7051
CNeurocomputing6.5Elsevier0925-2312
CPattern Recognition Letters3.9Elsevier0167-8655
CIEEE Transactions on Industrial Informatics11.7IEEE1551-3203

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