SOTAVerified

Person Identification

Papers

Showing 1–50 of 107 papers

TitleStatusHype
3D Human Body Reshaping with Anthropometric ModelingCode1
Subject-Aware Contrastive Learning for BiosignalsCode1
Weakly supervised discriminative feature learning with state information for person identificationCode1
GaitFormer: Learning Gait Representations with Noisy Multi-Task LearningCode1
Finding the Missing Data: A BERT-inspired Approach Against Package Loss in Wireless SensingCode1
KNN-MMD: Cross Domain Wireless Sensing via Local Distribution AlignmentCode1
Weakly-Supervised Multi-Face 3D ReconstructionCode1
CrossFi: A Cross Domain Wi-Fi Sensing Framework Based on Siamese NetworkCode1
DeepChange: A Large Long-Term Person Re-Identification Benchmark with Clothes ChangeCode1
OPFython: A Python-Inspired Optimum-Path Forest ClassifierCode1
Activity-Biometrics: Person Identification from Daily ActivitiesCode0
Ear2Face: Deep Biometric Modality MappingCode0
Attribute De-biased Vision Transformer (AD-ViT) for Long-Term Person Re-identificationCode0
Class Distribution Shifts in Zero-Shot Learning: Learning Robust RepresentationsCode0
DISARM: Detecting the Victims Targeted by Harmful MemesCode0
Deep Learning-Based Gait Recognition Using Smartphones in the WildCode0
StoryGraphs: Visualizing Character Interactions as a TimelineCode0
Adversarial Disentanglement of Speaker Representation for Attribute-Driven Privacy PreservationCode0
NIPD: A Federated Learning Person Detection Benchmark Based on Real-World Non-IID DataCode0
Robust M-Estimation Based Bayesian Cluster Enumeration for Real Elliptically Symmetric DistributionsCode0
HRIBench: Benchmarking Vision-Language Models for Real-Time Human Perception in Human-Robot InteractionCode0
Exploring Deep Models for Practical Gait Recognition—0
ESTformer: Transformer Utilizing Spatiotemporal Dependencies for Electroencaphalogram Super-resolution—0
Dissecting Human Body Representations in Deep Networks Trained for Person Identification—0
A Score-level Fusion Method for Eye Movement Biometrics—0
DISARM: Detecting the Victims Targeted by Harmful Memes—0
DIF : Dataset of Perceived Intoxicated Faces for Drunk Person Identification—0
Artificial Image Tampering Distorts Spatial Distribution of Texture Landmarks and Quality Characteristics—0
A Cross-Lingual Meta-Learning Method Based on Domain Adaptation for Speech Emotion Recognition—0
Eye Movements Biometrics: A Bibliometric Analysis from 2004 to 2019—0
A Bidirectional Siamese Recurrent Neural Network for Accurate Gait Recognition Using Body Landmarks—0
Deep Representations for Iris, Face, and Fingerprint Spoofing Detection—0
Glasses Detection Using Convolutional Neural Networks—0
An Effortless Way To Create Large-Scale Datasets For Famous Speakers—0
DAGait: Generalized Skeleton-Guided Data Alignment for Gait Recognition—0
GaitPT: Skeletons Are All You Need For Gait Recognition—0
CVVNet: A Cross-Vertical-View Network for Gait Recognition—0
Affective EEG-Based Person Identification Using the Deep Learning Approach—0
Acoustic Gait-based Person Identification using Hidden Markov Models—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
Gait Data Augmentation using Physics-Based Biomechanical Simulation—0
Hand-Based Person Identification using Global and Part-Aware Deep Feature Representation Learning—0
Gait Cycle Reconstruction and Human Identification from Occluded Sequences—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
Fusing Video and Inertial Sensor Data for Walking Person Identification—0
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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