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IJCB 2027: IEEE/IAPR International Joint Conference on Biometrics

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投稿締切日:
2027-04-09 残り 167 日
通知日:
2027-06-14
開催日:
2027-09-13
開催地:
Foz do Iguaçu, Brazil
開催回数:
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CCF: C   ICORE: B   閲覧: 38774   フォロー: 11   参加: 2
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IJCB
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会伴インデックス (CP-I)

64.4 / 100
全 5,759 件中 第 468 位 · 上位 9%

コンピュータビジョン・パターン認識 分野 246 件中 第 15 位

学術的評価 (35%)
72
投稿の選択性 (20%) データなし — 中立の基準値 50 点として算入 —
開催回数 (20%)
71
コミュニティの注目度 (10%)
45
公開情報の充実度 (15%)
70

使用した入力: 収録ランク：CCF C, ICORE B · 確認できる開催回数：13 · 会伴でフォローしている研究者：11 人 · 過去 24 か月にこのページを開いた研究者：15 人

公開情報で不足しているもの: 過去の採択率 (+4.5)
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信頼度 80% — スコアのうち、中立の基準値ではなく実際に観測されたデータに基づく割合。 このスコアの算出方法 · ランキングを見る · アルゴリズム版 1.2 · 算出日 2026-10-24

論文募集

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 We invite submissions of original, high-quality, unpublished research papers describing novel contributions in all areas of biometrics.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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ベストペーパー

年ベストペーパー
2026OctaMask: Compact and Multi-Use-Resilient Face Template Protection via Hyperoctahedral-Group Helpers and Reed–Muller Spherical Codes
2025AG-VPReID.VIR: Bridging Aerial and Ground Platforms for Video-based Visible-Infrared Person Re-ID
2025Trade-offs in Cross-Domain Generalization of Foundation Model Fine-Tuned for Biometric Applications
2025Facial Demorphing from a Single Morph Using a Latent Conditional GAN
2025CVVNet: A Cross-Vertical-View Network for Gait Recognition
2024FDWST: Fingerphoto Deblurring using Wavelet Style Transfer
2024Keystroke Dynamics Against Academic Dishonesty in the Age of LLMs
2024Distillation-guided Representation Learning for Unconstrained Gait Recognition
2023Adapt-FuseNet: Context-aware Multimodal Adaptive Fusion of Face and Gait Features using Attention Techniques for Human Identification
2023Sclera-TransFuse: Fusing Swin Transformer and CNN for Accurate Sclera Segmentation
2023CoNAN: Conditional Neural Aggregation Network For Unconstrained Face Feature Fusion
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?
2020PF-cpGAN: Profile to Frontal Coupled GAN for Face Recognition in the Wild
2017On the Vulnerability of ECG Verification to Online Presentation Attacks
2017Multi-View 3D Face Reconstruction with Deep Recurrent Neural Networks

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CCFICORECP-I略称正式名称投稿締切開催日
CB81.3FGInternational Conference on Automatic Face and Gesture Recognition2026-10-232027-04-26

関連会議

関連ジャーナル

CCF正式名称インパクトファクター出版社ISSN
IEEE Transactions on Biometrics, Behavior, and Identity ScienceIEEE2637-6407
CKnowledge-Based Systems7.2Elsevier0950-7051
CFuture Generation Computer Systems5.9Elsevier0167-739X
CNeurocomputing6.5Elsevier0925-2312
CPattern Recognition Letters3.9Elsevier0167-8655
CIEEE Transactions on Industrial Informatics11.7IEEE1551-3203
CIEEE Internet of Things Journal8.9IEEE2327-4662
CEngineering Applications of Artificial Intelligence9.0Elsevier0952-1976
CExpert Systems with Applications7.5Elsevier0957-4174
CIEEE Transactions on Big Data5.7IEEE2332-7790

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