{"id":1732,"date":"2023-07-18T09:40:20","date_gmt":"2023-07-18T09:40:20","guid":{"rendered":"https:\/\/ijcb2023.ieee-biometrics.org\/?page_id=1732"},"modified":"2024-07-03T11:03:37","modified_gmt":"2024-07-03T11:03:37","slug":"accepted-papers","status":"publish","type":"page","link":"https:\/\/ijcb2024.ieee-biometrics.org\/accepted-papers\/","title":{"rendered":"Accepted Papers"},"content":{"rendered":"\n
Paper Title<\/strong><\/td><\/tr>
Latent Fingerprint Matching via Dense Minutia Descriptor<\/td><\/tr>
Towards Zero-Shot Interpretable Human Recognition: A 2D-3D Registration Framework<\/td><\/tr>
LAMDA: Label Agnostic Mixup for Domain Adaptation in Iris Recognition<\/td><\/tr>
Score Normalization for Demographic Fairness in Face Recognition<\/td><\/tr>
Establishing a Baseline for Gaze-driven Authentication Performance in VR: A Breadth-First Investigation on a Very Large Dataset<\/td><\/tr>
On the Trustworthiness of Face Morphing Attack Detectors<\/td><\/tr>
On Cropping for Gait Recognition: Does Constant-velocity Locomotion Assumption Improve Gait Recognition Accuracy?<\/td><\/tr>
Flexible-Modal Deception Detection with Audio-Visual Adapter<\/td><\/tr>
Video Anomaly Detection in Overlapping Data: The More Cameras, the Better?<\/td><\/tr>
Long-Range Biometric Identification in Real World Scenarios: A Comprehensive Evaluation Framework Based on Missions<\/td><\/tr>
Greedy-DiM: Greedy Algorithms for Unreasonably Effective Face Morphs<\/td><\/tr>
Evaluating Face Recognition Performance on Synthetic Data: A Comprehensive Analysis of Methodologies and Benchmarks<\/td><\/tr>
Biometric Authentication Based on Enhanced Remote Photoplethysmography Signal Morphology<\/td><\/tr>
Contactless Fingerprint Biometric Anti-Spoofing: An Unsupervised Deep Learning Approach<\/td><\/tr>
On the Impact of Face Image Quality on Morphing Attack Detection<\/td><\/tr>
V-MAD: Video-based Morphing Attack Detection in operational scenarios<\/td><\/tr>
BLIP-Adapter: Bridging Vision-Language Models with Adapters for Face Anti-spoofing<\/td><\/tr>
Modality Agnostic Heterogeneous Face Recognition with Switch Style Modulators<\/td><\/tr>
Adaptive deep iris feature extractor at arbitrary resolutions<\/td><\/tr>
Revisiting Linearization of Spatial Maps in SoTA Face Recognition Backbone<\/td><\/tr>
Learning a Robust Minutiae Extractor via an Ensemble of Expert Models<\/td><\/tr>
Deep Generative Attacks and Countermeasures for Data-Driven Offline Signature Verification<\/td><\/tr>
A novel and responsible dataset for presentation attack detection on mobile devices<\/td><\/tr>
Straight Through Gumbel Softmax Estimator based Bimodal Neural Architecture Search for Audio-Visual  Deepfake Detection<\/td><\/tr>
Useckit: An Open-Source Deep-Learning Toolkit Bundling State-Of-The-Art Algorithms for Evaluating Behavioral Biometrics<\/td><\/tr>
Privacy-Safe Iris Presentation Attack Detection<\/td><\/tr>
Unsupervised Fingerphoto Presentation Attack Detection With Diffusion Models<\/td><\/tr>
Continuous learning: a feasible solution for continuous authentication using PPG ?<\/td><\/tr>
On the influence of regularization techniques on label noise robustness: Self-supervised speaker verification as a use case<\/td><\/tr>
Mitigating the Impact of Attribute Editing on Face Recognition<\/td><\/tr>
FDWST: Fingerphoto Deblurring using Wavelet Style Transfer<\/td><\/tr>
Demographic Fairness Transformer for Bias Mitigation in Face Recognition<\/td><\/tr>
A Self-Supervised Learning Pipeline for Demographically Fair Facial Attribute Classification<\/td><\/tr>
Boosting Unconstrained Face Recognition with Targeted Style Adversary<\/td><\/tr>
USFQA: Utility and Sharpness guided Fingerphoto Quality Assessment<\/td><\/tr>
Identity-Preserving GAN for Cross-Spectral Iris Recognition<\/td><\/tr>
Grains of Saliency: Optimizing Saliency-based Training of Biometric Attack Detection Models<\/td><\/tr>
DIOR: Dataset for Indoor-Outdoor Reidentification – Long Range 3D\/2D Skeleton Gait Collection Pipeline, Semi-Automated Gait Keypoint Labeling and Baseline Evaluation Methods<\/td><\/tr>
A Relative Data Diversity Measure for Synthetic Face Images<\/td><\/tr>
Occlusion-aware Cross-Attention Fusion for Video-based Occluded Cloth-Changing Person Re-Identification<\/td><\/tr>
Progressive Self-supervised Representation Learning for 3D Facial Expression Recognition<\/td><\/tr>
Distillation-guided Representation Learning for Unconstrained Gait Recognition<\/td><\/tr>
A Reference-Based 3D Semantic-Aware Framework for Accurate Local Facial Attribute Editing<\/td><\/tr>
Face Helps Person Re-Identification: Multi-modality Person Re-Identification Based on Vision-Language Models<\/td><\/tr>
ConvNext-PNet: An interpretable and explainable deep-learning model for deepfakes detection<\/td><\/tr>
Radial Distortion in Face Images: Detection and Impact<\/td><\/tr>
Keystroke Dynamics Against Academic Dishonesty in the Age of LLMs<\/td><\/tr>
PCR-HIQA: Perceptual Classifiability Ratio for Hand Image Quality<\/td><\/tr>
Assessing the Reliability of Biometric Authentication on Virtual Reality Devices<\/td><\/tr>
RuleBoost: A Neuro-Symbolic Framework for Robust Deepfake Detection<\/td><\/tr>
DSTER: A Dual-Stream Transformer-based Emotion Recognition Model through Keystrokes Dynamics<\/td><\/tr><\/tbody><\/table><\/figure>\n","protected":false},"excerpt":{"rendered":"

Paper Title Latent Fingerprint Matching via Dense Minutia Descriptor Towards Zero-Shot Interpretable Human Recognition: A 2D-3D Registration Framework LAMDA: Label Agnostic Mixup for Domain Adaptation in Iris Recognition Score Normalization for Demographic Fairness in Face Recognition Establishing a Baseline for Gaze-driven Authentication Performance in VR: A Breadth-First Investigation on a Very Large Dataset On the […]<\/p>\n","protected":false},"author":2,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-1732","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/ijcb2024.ieee-biometrics.org\/wp-json\/wp\/v2\/pages\/1732"}],"collection":[{"href":"https:\/\/ijcb2024.ieee-biometrics.org\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/ijcb2024.ieee-biometrics.org\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/ijcb2024.ieee-biometrics.org\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/ijcb2024.ieee-biometrics.org\/wp-json\/wp\/v2\/comments?post=1732"}],"version-history":[{"count":0,"href":"https:\/\/ijcb2024.ieee-biometrics.org\/wp-json\/wp\/v2\/pages\/1732\/revisions"}],"wp:attachment":[{"href":"https:\/\/ijcb2024.ieee-biometrics.org\/wp-json\/wp\/v2\/media?parent=1732"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}