Papers Face Verification
“Face Verification” 태그가 달린 논문 380편 · 필터 해제
MTVDiff: Multimodal Conditional Latent Diffusion for Enhanced Thermal-to-Visible Face Translation
Thermal-to-visible face translation presents fundamental challenges including geometric discontinuities, semantic attribute mismatches, and identity degradation. We propose MTVDiff, a novel multimodal latent diffusion fr…
Face VerificationFace RecognitionSparsity-Inducing Divergence Losses for Biometric Verification
Performance in face and speaker verification is largely driven by margin-penalty softmax losses such as CosFace and ArcFace. Recently introduced $α$-divergence loss functions offer a compelling alternative, particularly …
Speaker VerificationFace VerificationOptimizing Image Preparation and Compression for Face Recognition within 1024 Bytes
ICAO-compliant machine readable travel documents enable automated biometric face verification. The biometric reference is stored on an RFID chip included in form of a JPEG or JPEG 2000 compressed facial image. In contras…
Face VerificationImage CompressionFace RecognitionViT-FREE: Efficient Face Recognition via Early Exiting and Synthetic Adaptation
Vision Transformers (ViTs) have gained significant attention in computer vision and shown strong potential for face recognition (FR). However, their high computational cost makes deployment on resource-constrained device…
Face VerificationFace RecognitionNon-Colliding Biometric Identities for Digital Entities: Geometry, Capacity, and Million-Scale Virtual Identity Provisioning
Digital entities such as AI agents and humanoid robots increasingly operate alongside real humans, yet their identity infrastructure is based on credentials rather than embodied biometric identity. We introduce Biometric…
Face VerificationPosition: Age Estimation Models Do Not Process Biometric Data
When a neural network estimates someone's age from a photograph, does it process biometric data? The answer depends on whether identity-discriminative representations arise within the network during inference, a question…
Face VerificationAge EstimationDemographic Fairness in Multimodal LLMs: A Benchmark of Gender and Ethnicity Bias in Face Verification
Multimodal Large Language Models (MLLMs) have recently been explored as face verification systems that determine whether two face images are of the same person. Unlike dedicated face recognition systems, MLLMs approach t…
Face VerificationFace RecognitionMLLM-based Textual Explanations for Face Comparison
Multimodal Large Language Models (MLLMs) have recently been proposed as a means to generate natural-language explanations for face recognition decisions. While such explanations facilitate human interpretability, their r…
Face VerificationFace RecognitionThe Good, the Better, and the Best: Improving the Discriminability of Face Embeddings through Attribute-aware Learning
Despite recent advances in face recognition, robust performance remains challenging under large variations in age, pose, and occlusion. A common strategy to address these issues is to guide representation learning with a…
Representation LearningFace VerificationFace RecognitionAHAN: Asymmetric Hierarchical Attention Network for Identical Twin Face Verification
Identical twin face verification represents an extreme fine-grained recognition challenge where even state-of-the-art systems fail due to overwhelming genetic similarity. Current face recognition methods achieve over 99.…
Face VerificationFace RecognitionVerLM: Explaining Face Verification Using Natural Language
Face verification systems have seen substantial advancements; however, they often lack transparency in their decision-making processes. In this paper, we introduce an innovative Vision-Language Model (VLM) for Face Verif…
Face VerificationMitigating Bias with Words: Inducing Demographic Ambiguity in Face Recognition Templates by Text Encoding
Face recognition (FR) systems are often prone to demographic biases, partially due to the entanglement of demographic-specific information with identity-relevant features in facial embeddings. This bias is extremely crit…
Face VerificationFace RecognitionDesigning and Generating Diverse, Equitable Face Image Datasets for Face Verification Tasks
Face verification is a significant component of identity authentication in various applications including online banking and secure access to personal devices. The majority of the existing face image datasets often suffe…
Face VerificationAEGIS: Preserving privacy of 3D Facial Avatars with Adversarial Perturbations
The growing adoption of photorealistic 3D facial avatars, particularly those utilizing efficient 3D Gaussian Splatting representations, introduces new risks of online identity theft, especially in systems that rely on bi…
Face VerificationAlpha Divergence Losses for Biometric Verification
Performance in face and speaker verification is largely driven by margin-based softmax losses such as CosFace and ArcFace. Recently introduced $α$-divergence loss functions offer a compelling alternative, particularly du…
Speaker VerificationFace VerificationMask-Robust Face Verification for Online Learning via YOLOv5 and Residual Networks
In the contemporary landscape, the fusion of information technology and the rapid advancement of artificial intelligence have ushered school education into a transformative phase characterized by digitization and heighte…
Face VerificationISO/IEC-Compliant Match-on-Card Face Verification with Short Binary Templates
We present a practical match-on-card design for face verification in which compact 64/128-bit templates are produced off-card by PCA-ITQ and compared on-card via constant-time Hamming distance. We specify ISO/IEC 7816-4 …
Face VerificationRestricted Receptive Fields for Face Verification
Understanding how deep neural networks make decisions is crucial for analyzing their behavior and diagnosing failure cases. In computer vision, a common approach to improve interpretability is to assign importance to ind…
Face VerificationProxyFusion: Face Feature Aggregation Through Sparse Experts
Face feature fusion is indispensable for robust face recognition, particularly in scenarios involving long-range, low-resolution media (unconstrained environments) where not all frames or features are equally informative…
Face IdentificationFace RecognitionFace VerificationRobust Face RecognitionPD-Loss: Proxy-Decidability for Efficient Metric Learning
Deep Metric Learning (DML) aims to learn embedding functions that map semantically similar inputs to proximate points in a metric space while separating dissimilar ones. Existing methods, such as pairwise losses, are hin…
Computational EfficiencyFace VerificationMetric Learning