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FaceLivePlus: A Unified System for Face Liveness Detection and Face Verification

https://doi.org/10.1145/3591106.3592289
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-319-70096-0_70openalex-snapshot
Ultra-deep Neural Network for Face Anti-spoofing
inferredcites →https://doi.org/10.1007/978-981-19-5288-3openalex-snapshot
Handbook of Biometric Anti-Spoofing
inferredcites →https://doi.org/10.1016/j.jvcir.2016.03.019openalex-snapshot
Integration of image quality and motion cues for face anti-spoofing: A neural network approach
inferredcites →https://doi.org/10.1016/j.jvcir.2019.02.014openalex-snapshot
Face liveness detection using convolutional-features fusion of real and deep network generated face images
inferredcites →https://doi.org/10.1016/j.patcog.2005.06.011openalex-snapshot
Database, protocols and tools for evaluating score-level fusion algorithms in biometric authentication
inferredcites →https://doi.org/10.1109/acpr.2015.7486482openalex-snapshot
Learning temporal features using LSTM-CNN architecture for face anti-spoofing
inferredcites →https://doi.org/10.1109/btas.2013.6712688openalex-snapshot
Spoofing in 2D face recognition with 3D masks and anti-spoofing with Kinect
inferredcites →https://doi.org/10.1109/cvpr.2010.5539965openalex-snapshot
Face recognition based on image sets
inferredcites →https://doi.org/10.1109/cvpr.2014.242openalex-snapshot
Discriminative Deep Metric Learning for Face Verification in the Wild
inferredcites →https://doi.org/10.1109/cvpr.2017.579openalex-snapshot
UberNet: Training a Universal Convolutional Neural Network for Low-, Mid-, and High-Level Vision Using Diverse Datasets and Limited Memory
inferredcites →https://doi.org/10.1109/fg.2017.77openalex-snapshot
OULU-NPU: A Mobile Face Presentation Attack Database with Real-World Variations
inferredcites →https://doi.org/10.1109/fg.2018.00020openalex-snapshot
VGGFace2: A Dataset for Recognising Faces across Pose and Age
inferredcites →https://doi.org/10.1109/icb.2012.6199754openalex-snapshot
A face antispoofing database with diverse attacks
inferredcites →https://doi.org/10.1109/iccv.2007.4409068openalex-snapshot
Eyeblink-based Anti-Spoofing in Face Recognition from a Generic Webcamera
inferredcites →https://doi.org/10.1109/iccv.2017.324openalex-snapshot
Focal Loss for Dense Object Detection
inferredcites →https://doi.org/10.1109/icmla.2018.00155openalex-snapshot
LiveFace: A Multi-task CNN for Fast Face-Authentication
inferredcites →https://doi.org/10.1109/ijcb.2011.6117510openalex-snapshot
Face spoofing detection from single images using micro-texture analysis
inferredcites →https://doi.org/10.1109/ipta.2016.7821013openalex-snapshot
An original face anti-spoofing approach using partial convolutional neural network
inferredcites →https://doi.org/10.1109/lsp.2016.2603342openalex-snapshot
Joint Face Detection and Alignment Using Multitask Cascaded Convolutional Networks
inferredcites →https://doi.org/10.1109/tdsc.2016.2550459openalex-snapshot
Empirical Study of Face Authentication Systems Under OSNFD Attacks
inferredcites →https://doi.org/10.1109/tdsc.2016.2645208openalex-snapshot
PersonaIA: A Lightweight Implicit Authentication System Based on Customized User Behavior Selection
inferredcites →https://doi.org/10.1109/tencon.2018.8650440openalex-snapshot
Towards Building a Remote Anti-spoofing Face Authentication System
inferredcites →https://doi.org/10.1109/tifs.2015.2400395openalex-snapshot
Face Spoof Detection With Image Distortion Analysis
inferredcites →https://doi.org/10.1109/tifs.2016.2555286openalex-snapshot
Face Spoofing Detection Using Colour Texture Analysis
inferredcites →https://doi.org/10.1109/tifs.2018.2801312openalex-snapshot
Unsupervised Domain Adaptation for Face Anti-Spoofing
inferredcites →https://doi.org/10.1109/tip.2013.2292332openalex-snapshot
Image Quality Assessment for Fake Biometric Detection: Application to Iris, Fingerprint, and Face Recognition
inferredcites →https://doi.org/10.1145/2964284.2984059openalex-snapshot
Face Recognition via Active Annotation and Learning
inferredcites →https://doi.org/10.1145/3126686.3126693openalex-snapshot
Deep Face Recognition with Center Invariant Loss
inferredcites →https://doi.org/10.1145/3343031.3351001openalex-snapshot
Multi-modal Multi-layer Fusion Network with Average Binary Center Loss for Face Anti-spoofing
inferredcites →https://doi.org/10.1145/3343031.3351082openalex-snapshot
Fewer-Shots and Lower-Resolutions
inferredcites →https://doi.org/10.1186/1687-5281-2014-2openalex-snapshot
Face liveness detection using dynamic texture

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4774062openalex-extracted
Biometric traits transferring: RRKD framework for ECG-assisted enhancement of PPG-based individual identification
inferred← citeshttps://doi.org/10.1007/978-3-031-44127-1_10openalex-snapshot
Towards an Enhanced and Lightweight Face Authentication System
inferred← citeshttps://doi.org/10.1109/icassp49660.2025.10888316openalex-snapshot
CompMTL: Layer-Wise Competitive Multi-Task Learning
inferred← citeshttps://doi.org/10.1109/icme59968.2025.11209389openalex-snapshot
JointDistill: Adaptive Multi-Task Distillation for Joint Depth Estimation and Scene Segmentation
inferred← citeshttps://doi.org/10.1109/sita67914.2025.11273510openalex-snapshot
Generalized Passive Face Liveness Detection Using Region-Specific Mixture-of-Experts
inferred← citeshttps://doi.org/10.1117/1.jei.33.1.013054openalex-snapshot
End-to-end multibranch network for palm vein recognition and liveness detection
inferred← citeshttps://doi.org/10.1142/s0219467827500306openalex-snapshot
Optimal Feature Selection-Based Face Liveness Detection Using Fused Long Short-Term Memory with Gated Recurrent Unit
inferred← citeshttps://doi.org/10.1145/3643831openalex-snapshot
Detection of Adversarial Facial Accessory Presentation Attacks Using Local Face Differential
inferred← citeshttps://doi.org/10.4236/ojapps.2023.1312173openalex-snapshot
Formation of an Original Database and Development of Innovative Deep Learning Algorithms for Detecting Face Impersonation in Online Exams
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