Person Identification
18 papers with code • 2 benchmarks • 8 datasets
Datasets
11k Hands
iQIYI-VID
NSVA
MotionID: IMU all motions part3
MotionID: IMU specific motion
MotionID: IMU all motions part1
MotionID: IMU all motions part2
Latest papers with no code
From Synthetic to Real: Unveiling the Power of Synthetic Data for Video Person Re-ID
In this paper, we study a new problem of cross-domain video based person re-identification (Re-ID).
ESTformer: Transformer Utilizing Spatiotemporal Dependencies for EEG Super-resolution
The ESTformer, with the fixed masking strategy, adopts a mask token to up-sample the low-resolution (LR) EEG data in case of disturbance from mathematical interpolation methods.
Class Distribution Shifts in Zero-Shot Learning: Learning Robust Representations
Class distribution shifts are particularly challenging for zero-shot classifiers, which rely on representations learned from training classes but are deployed on new, unseen ones.
ShARc: Shape and Appearance Recognition for Person Identification In-the-wild
PSE encodes the body shape via binarized silhouettes, skeleton motions, and 3-D body shape, while AAE provides two levels of temporal appearance feature aggregation: attention-based feature aggregation and averaging aggregation.
Learning to Simplify Spatial-Temporal Graphs in Gait Analysis
However, these methods often rely on hand-crafted spatial-temporal graphs that are based on human anatomy disregarding the particularities of the dataset and task.
Human Gait Recognition using Deep Learning: A Comprehensive Review
Gait recognition (GR) is a growing biometric modality used for person identification from a distance through visual cameras.
GaitPT: Skeletons Are All You Need For Gait Recognition
Our results show that GaitPT achieves state-of-the-art performance compared to other skeleton-based gait recognition works, in both controlled and in-the-wild scenarios.
Weakly Supervised Multi-Task Representation Learning for Human Activity Analysis Using Wearables
Sensor data streams from wearable devices and smart environments are widely studied in areas like human activity recognition (HAR), person identification, or health monitoring.
Towards Fair Face Verification: An In-depth Analysis of Demographic Biases
This paper presents an in-depth analysis, with a particular emphasis on the intersectionality of these demographic factors.
Gait Data Augmentation using Physics-Based Biomechanical Simulation
This paper focuses on addressing the problem of data scarcity for gait analysis.
