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
Activity-Biometrics: Person Identification from Daily Activities
Furthermore, we extensively compare ABNet with existing works in person identification and demonstrate its effectiveness for activity-based biometrics across all five datasets.
Image-based human re-identification: Which covariates are actually (the most) important?
KaiyangZhou/deep-person-reid
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Image and Vision Computing 2024
Human re-identification (re-ID) is nowadays among the most popular topics in computer vision, due to the increasing importance given to safety/security in modern societies.
GaitFormer: Learning Gait Representations with Noisy Multi-Task Learning
Gait analysis is proven to be a reliable way to perform person identification without relying on subject cooperation.
NIPD: A Federated Learning Person Detection Benchmark Based on Real-World Non-IID Data
ShenSuanZiZhen/NIID_Person_Detection
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Therefore, we open source a non-IID IoT person detection (NIPD) data set, which is collected from five different cameras.
Exploring Deep Models for Practical Gait Recognition
shiqiyu/opengait
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Gait recognition is a rapidly advancing vision technique for person identification from a distance.
DISARM: Detecting the Victims Targeted by Harmful Memes
lcs2-iiitd/disarm
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Findings (NAACL) 2022
Finally, we show that DISARM is interpretable and comparatively more generalizable and that it can reduce the relative error rate for harmful target identification by up to 9 points absolute over several strong multimodal rivals.
DeepChange: A Large Long-Term Person Re-Identification Benchmark with Clothes Change
Currently, one of the most significant limitations in this field is the lack of a large realistic benchmark.
3D Human Body Reshaping with Anthropometric Modeling
First, we calculate full-body anthropometric parameters from limited user inputs by imputation technique, and thus essential anthropometric parameters for 3D body reshaping can be obtained.
Weakly-Supervised Multi-Face 3D Reconstruction
kalyo-zjl/WM3DR
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3D face reconstruction plays a very important role in many real-world multimedia applications, including digital entertainment, social media, affection analysis, and person identification.
Adversarial Disentanglement of Speaker Representation for Attribute-Driven Privacy Preservation
LIAvignon/adversarial-disentangling-autoencoder-for-spk-representation
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In order to allow the user to choose which information to protect, we introduce in this paper the concept of attribute-driven privacy preservation in speaker voice representation.
