Awesome person re-identification

TOMM2017 A Discriminatively Learned CNN Embedding for Person Re-identification

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

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

Awesome Vehicle Re-identification

A metric learning method for person re-identification

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

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

Privacy & Security Lab

Face detection and re-identifaction of people from a videostream

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)

Working on developing novel algorithms for Person Re-identification, which is the task of identifying the same person across camera networks with non-overlapping views, using Subspace Learning (Metric Learning). Primarily working on developing cross-view semantic learning algorithms,jointly learning common basis matrices,the view-specific semantic projection matrices and association functions for person re-id. Trying to generalize the approach for multi-view analysis to seek a set of linear semantic transforms and relationship mapping functions simultaneously. Working on the VIPeR dataset preliminarily.

A Discriminatively Learned CNN Embedding for Person Re-identification

ICCV2019