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Person Identification
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이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
HRIBench: Benchmarking Vision-Language Models for Real-Time Human Perception in Human-Robot Interaction
CVVNet: A Cross-Vertical-View Network for Gait Recognition
DAGait: Generalized Skeleton-Guided Data Alignment for Gait Recognition
Multi-Domain Biometric Recognition using Body Embeddings
Continual Person Identification using Footstep-Induced Floor Vibrations on Heterogeneous Floor Structures
Dissecting Human Body Representations in Deep Networks Trained for Person Identification
Unconstrained Body Recognition at Altitude and Range: Comparing Four Approaches
Mining Limited Data Sufficiently: A BERT-inspired Approach for CSI Time Series Application in Wireless Communication and Sensing
KNN-MMD: Cross Domain Wireless Sensing via Local Distribution Alignment
A Bidirectional Siamese Recurrent Neural Network for Accurate Gait Recognition Using Body Landmarks
Gait Sequence Upsampling using Diffusion Models for Single LiDAR Sensors
A Cross-Lingual Meta-Learning Method Based on Domain Adaptation for Speech Emotion Recognition
Tran-GCN: A Transformer-Enhanced Graph Convolutional Network for Person Re-Identification in Monitoring Videos
Comparative Analysis of Modality Fusion Approaches for Audio-Visual Person Identification and Verification
CrossFi: A Cross Domain Wi-Fi Sensing Framework Based on Siamese Network
OpenGait: A Comprehensive Benchmark Study for Gait Recognition towards Better Practicality
Activity-Biometrics: Person Identification from Daily Activities
Finding the Missing Data: A BERT-inspired Approach Against Package Loss in Wireless Sensing
From Synthetic to Real: Unveiling the Power of Synthetic Data for Video Person Re-ID
ESTformer: Transformer Utilizing Spatiotemporal Dependencies for Electroencaphalogram Super-resolution
Class Distribution Shifts in Zero-Shot Learning: Learning Robust Representations
GaitFormer: Learning Gait Representations with Noisy Multi-Task Learning
ShARc: Shape and Appearance Recognition for Person Identification In-the-wild
Learning to Simplify Spatial-Temporal Graphs in Gait Analysis
Human Gait Recognition using Deep Learning: A Comprehensive Review
GaitPT: Skeletons Are All You Need For Gait Recognition
Weakly Supervised Multi-Task Representation Learning for Human Activity Analysis Using Wearables
Towards Fair Face Verification: An In-depth Analysis of Demographic Biases
Gait Data Augmentation using Physics-Based Biomechanical Simulation
NIPD: A Federated Learning Person Detection Benchmark Based on Real-World Non-IID Data
Recognizing People by Body Shape Using Deep Networks of Images and Words
Human Body Pose Estimation for Gait Identification: A Comprehensive Survey of Datasets and Models
Multi-Channel Time-Series Person and Soft-Biometric Identification
Exploring Deep Models for Practical Gait Recognition
Attribute De-biased Vision Transformer (AD-ViT) for Long-Term Person Re-identification
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