Papers Face Identification
“Face Identification” 태그가 달린 논문 155편 · 필터 해제
Rank-1 Identity Consensus Predicts Gallery Enrollment in 1:N Face Matching More Accurately than Score Thresholding
In operational 1:N face identification, a crucial question arises for each probe: is this person enrolled in the gallery or not? The stakes are high and asymmetric. Rejecting a mate-present (MP) probe loses a valid lead;…
Face IdentificationHuman face perception reflects inverse-generative and naturalistic discriminative objectives
The perceptual representations supporting our ability to recognize faces remain a computational mystery. Deep neural networks offer mechanistic hypotheses for human face perception, but theoretically distinct models ofte…
Face IdentificationInverse RenderingAre Face Embeddings Compatible Across Deep Neural Network Models?
Automated face recognition has made rapid strides over the past decade due to the unprecedented rise of deep neural network (DNN) models that can be trained for domain-specific tasks. At the same time, foundation models …
Face IdentificationFace RecognitionPoint CloudsSPOT-Face: Forensic Face Identification using Attention Guided Optimal Transport
Person identification in forensic investigations becomes very challenging when common identification means for DNA (i.e., hair strands, soft tissue) are not available. Current methods utilize deep learning methods for fa…
Person IdentificationFace IdentificationFace RecognitionTwo-step Authentication: Multi-biometric System Using Voice and Facial Recognition
We present a cost-effective two-step authentication system that integrates face identification and speaker verification using only a camera and microphone available on common devices. The pipeline first performs face rec…
Speaker VerificationFace IdentificationFace RecognitionUnlocking the power of partnership: How humans and machines can work together to improve face recognition
Human review of consequential decisions by face recognition algorithms creates a "collaborative" human-machine system. Individual differences between people and machines, however, affect whether collaboration improves or…
Face IdentificationFace RecognitionBudgeted Broadcast: An Activity-Dependent Pruning Rule for Neural Network Efficiency
Most pruning methods remove parameters ranked by impact on loss (e.g., magnitude or gradient). We propose Budgeted Broadcast (BB), which gives each unit a local traffic budget (the product of its long-term on-rate $a_i$ …
Face IdentificationProxyFusion: 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 RecognitionArtFace: Towards Historical Portrait Face Identification via Model Adaptation
Identifying sitters in historical paintings is a key task for art historians, offering insight into their lives and how they chose to be seen. However, the process is often subjective and limited by the lack of data and …
Face IdentificationFaceGCD: Generalized Face Discovery via Dynamic Prefix Generation
Recognizing and differentiating among both familiar and unfamiliar faces is a critical capability for face recognition systems and a key step toward artificial general intelligence (AGI). Motivated by this ability, this …
Face IdentificationFace RecognitionIDFace: Face Template Protection for Efficient and Secure Identification
As face recognition systems (FRS) become more widely used, user privacy becomes more important. A key privacy issue in FRS is protecting the user's face template, as the characteristics of the user's face image can be re…
Face IdentificationFace RecognitionPrivacy-preserving Preselection for Face Identification Based on Packing
Face identification systems operating in the ciphertext domain have garnered significant attention due to increasing privacy concerns and the potential recovery of original facial data. However, as the size of ciphertext…
Face IdentificationFace RecognitionHyperCam: Low-Power Onboard Computer Vision for IoT Cameras
We present HyperCam, an energy-efficient image classification pipeline that enables computer vision tasks onboard low-power IoT camera systems. HyperCam leverages hyperdimensional computing to perform training and infere…
Face DetectionFace Identificationimage-classificationImage ClassificationPetFace: A Large-Scale Dataset and Benchmark for Animal Identification
Automated animal face identification plays a crucial role in the monitoring of behaviors, conducting of surveys, and finding of lost animals. Despite the advancements in human face identification, the lack of datasets an…
Face IdentificationFace VerificationVideoClusterNet: Self-Supervised and Adaptive Face Clustering For Videos
With the rise of digital media content production, the need for analyzing movies and TV series episodes to locate the main cast of characters precisely is gaining importance.Specifically, Video Face Clustering aims to gr…
ClusteringFace ClusteringFace IdentificationControlling Face's Frame generation in StyleGAN's latent space operations: Modifying faces to deceive our memory
Innocence Project is a non-profitable organization that works in reducing wrongful convictions. In collaboration with Laboratorio de Sue\~no y Memoria from Instituto Tecnol\'ogico de Buenos Aires (ITBA), they are studyin…
Face IdentificationFace RecognitionLLMs in Political Science: Heralding a New Era of Visual Analysis
Interest is increasing among political scientists in leveraging the extensive information available in images. However, the challenge of interpreting these images lies in the need for specialized knowledge in computer vi…
Caption GenerationFace Identificationobject-detectionObject Detection+1CamPro: Camera-based Anti-Facial Recognition
The proliferation of images captured from millions of cameras and the advancement of facial recognition (FR) technology have made the abuse of FR a severe privacy threat. Existing works typically rely on obfuscation, syn…
Face IdentificationHuman DetectionPrivacy PreservingInclusive normalization of face images to passport format
Face recognition has been used more and more in real world applications in recent years. However, when the skin color bias is coupled with intra-personal variations like harsh illumination, the face recognition task is m…
Face IdentificationFace RecognitionFace VerificationFairnessEfficient Verification-Based Face Identification
We study the problem of performing face verification with an efficient neural model $f$. The efficiency of $f$ stems from simplifying the face verification problem from an embedding nearest neighbor search into a binary …
Face IdentificationFace VerificationScheduling