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Person Identification

Papers

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Showing 1–50 of 107 papers

TitleStatusHype
GaitFormer: Learning Gait Representations with Noisy Multi-Task LearningCode1
CrossFi: A Cross Domain Wi-Fi Sensing Framework Based on Siamese NetworkCode1
Subject-Aware Contrastive Learning for BiosignalsCode1
3D Human Body Reshaping with Anthropometric ModelingCode1
OPFython: A Python-Inspired Optimum-Path Forest ClassifierCode1
Weakly-Supervised Multi-Face 3D ReconstructionCode1
KNN-MMD: Cross Domain Wireless Sensing via Local Distribution AlignmentCode1
Weakly supervised discriminative feature learning with state information for person identificationCode1
DeepChange: A Large Long-Term Person Re-Identification Benchmark with Clothes ChangeCode1
Finding the Missing Data: A BERT-inspired Approach Against Package Loss in Wireless SensingCode1
Learning to Simplify Spatial-Temporal Graphs in Gait Analysis—0
A Cross-Lingual Meta-Learning Method Based on Domain Adaptation for Speech Emotion Recognition—0
A Bidirectional Siamese Recurrent Neural Network for Accurate Gait Recognition Using Body Landmarks—0
Learning View-Invariant Features for Person Identification in Temporally Synchronized Videos Taken by Wearable Cameras—0
Artificial Image Tampering Distorts Spatial Distribution of Texture Landmarks and Quality Characteristics—0
Learning Deep Context-aware Features over Body and Latent Parts for Person Re-identification—0
Matching Targets Across Domains with RADON, the Re-Identification Across Domain Network—0
iQIYI-VID: A Large Dataset for Multi-modal Person Identification—0
DAGait: Generalized Skeleton-Guided Data Alignment for Gait Recognition—0
GaitPT: Skeletons Are All You Need For Gait Recognition—0
An Effortless Way To Create Large-Scale Datasets For Famous Speakers—0
Acoustic Gait-based Person Identification using Hidden Markov Models—0
DIF : Dataset of Perceived Intoxicated Faces for Drunk Person Identification—0
DISARM: Detecting the Victims Targeted by Harmful Memes—0
A Score-level Fusion Method for Eye Movement Biometrics—0
Dissecting Human Body Representations in Deep Networks Trained for Person Identification—0
CVVNet: A Cross-Vertical-View Network for Gait Recognition—0
ESTformer: Transformer Utilizing Spatiotemporal Dependencies for Electroencaphalogram Super-resolution—0
3D Convolution Neural Network based Person Identification using Gait cycles—0
Eye Movements Biometrics: A Bibliometric Analysis from 2004 to 2019—0
Affective EEG-Based Person Identification Using the Deep Learning Approach—0
Gait Data Augmentation using Physics-Based Biomechanical Simulation—0
Gait Cycle Reconstruction and Human Identification from Occluded Sequences—0
Fusing Video and Inertial Sensor Data for Walking Person Identification—0
Continuous Adaptation of Multi-Camera Person Identification Models through Sparse Non-redundant Representative Selection—0
Adversarial Deep Learning in EEG Biometrics—0
Fused Deep Neural Network based Transfer Learning in Occluded Face Classification and Person re-Identification—0
From Synthetic to Real: Unveiling the Power of Synthetic Data for Video Person Re-ID—0
Continual Person Identification using Footstep-Induced Floor Vibrations on Heterogeneous Floor Structures—0
Gait Sequence Upsampling using Diffusion Models for Single LiDAR Sensors—0
Generalized Bilinear Deep Convolutional Neural Networks for Multimodal Biometric Identification—0
Generalized Iris Presentation Attack Detection Algorithm under Cross-Database Settings—0
Glasses Detection Using Convolutional Neural Networks—0
Hand-Based Person Identification using Global and Part-Aware Deep Feature Representation Learning—0
Deep Representations for Iris, Face, and Fingerprint Spoofing Detection—0
Human Body Pose Estimation for Gait Identification: A Comprehensive Survey of Datasets and Models—0
Human Gait Recognition using Deep Learning: A Comprehensive Review—0
Hybrid Score- and Rank-level Fusion for Person Identification using Face and ECG Data—0
Identity-Aware Attribute Recognition via Real-Time Distributed Inference in Mobile Edge Clouds—0
Fingerprint Recognition under Missing Image Pixels Scenario—0
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All datasetsEEG Motor Movement/Imagery DatasetWiGestureBioEye

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SSLAccuracy0.89—Unverified
2Subject-invariant SSL Embedding & Linear ClassifierAccuracy0.73—Unverified
3Subject-specific SSLAccuracy0.68—Unverified
#ModelMetricClaimedVerifiedStatus
1CrossFiAccuracy (% )99.97—Unverified
2CSI-BERT2Accuracy (% )99.73—Unverified
3CSI-BERTAccuracy (% )93.94—Unverified
#ModelMetricClaimedVerifiedStatus
1RBFNR198.69—Unverified