A Discriminatively Learned CNN Embedding for Person Re-identification

A metric learning method for person re-identification

Privacy & Security Lab

ICCV2019

Face detection and re-identifaction of people from a videostream

Official implementation of "Improved Person Re-Identification Based on Saliency and Semantic Parsing with Deep Neural Network Models" IMAVIS 2019

Reimplementation of Bag of Tricks and A Strong Baseline for Deep Person Re-identification

Person re-identification to observe domain shift. Models trained and tested on the self domain as well as on cross domains(i.e. Models trained on Market1501 and tested on DukeMTMC)

Repository for 2019 CVPR AI City Challenge Track 2 from IPL@UW

We propose a global and local feature transformation method for PRID. The global feature transformation matrix projects the data from different cameras to a common space. We further hypothesize that a latent basis matrix can be learnt in this space which represents the shared structure between different cameras using matrix factorization.

This data pipeline is built upon the AWS Cloud Infrastructure and uses Streamlit as a front-end for user input.

Serverless pipeline for Named Entity Recognition using AWS Comprehend and Masking or Deidentifying selected entities

Deep Fusion Feature Representation Learning with Hard Mining Center-Triplet Loss for Person Re-identification.(published on the IEEE TMM 2020)

Official implementation of "Top Batch DropBlock for Person Re-Identification" ICPR 2020

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

Fast, Simple and Easy to configure Re-Identification Pipeline in PyTorch

En este repositorio se recoge el codigo desarrollado durante el trabajo final de master. Master en Big Data y Data Science en la Universidad Internacional de Valencia

Awesome Vehicle Re-identification

Megvii workshop in large-scale network reimplementation and re-evaluation, Nov. 2021