Awesome Person Re-identification

ICCV2017 Unlabeled Samples Generated by GAN Improve the Person Re-identification Baseline in vitro

TCSVT2018 Pedestrian Alignment Network for Large-scale Person Re-identification

[ECCV 2020] QAConv: Interpretable and Generalizable Person Re-Identification with Query-Adaptive Convolution and Temporal Lifting, and [CVPR 2022] GS: Graph Sampling Based Deep Metric Learning

Surpassing Real-World Source Training Data: Random 3D Characters for Generalizable Person Re-Identification

detect the no of people every second entering building gate. #person-detection

[NeurIPS 2021] TransMatcher: Deep Image Matching Through Transformers for Generalizable Person Re-identification

Temporal Lifting (TLift), a model-free temporal cooccurrence based score weighting method proposed in "Interpretable and Generalizable Person Re-Identification with Query-Adaptive Convolution and Temporal Lifting".

Person Re-identification by Local Maximal Occurrence Representation and Metric Learning

LOMO Feature extraction for PRID. Contains extracted features of PRID450S dataset.

Face recognition based on py_faster_rcnn: with ZF & VGG16

Using encoder-decoder neural networks to learn representations of personal walking style, and generating person-specific gait for desired activities.

Implementation of Person Recognition System as Person Attendance Tracker, my bachelor thesis

Sample files for training a cascade classifier to detect human outlines using OpenCV