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3dactionrecognition

3D Skeletal Human Action Recognition (using TensorFlow)

a3c

Tensorflow implementation of A3C, both discrete & continuous action space.

action-recognition-based-on-structural-rnn-tensorflow

action_recognition_using_visual_attention

TensorFlow Implementation of "Action Recognition using Visual Attention"

actionvlad

ActionVLAD for video action classification (CVPR 2017)

aggregated_wasserstein_hmm

attentionalpoolingaction

Code/Model release for NIPS 2017 paper "Attentional Pooling for Action Recognition"

c3d-tensorflow

Action recognition with C3D network implemented in tensorflow

cvpr15_paper

dcia_person_re-identification_reranking

Discriminant Context Information Analysis for Post-Ranking Person Re-Identification

deep_learning_in_action

Learn and implement Deep learning models using tensorflow. Don't clone/fork me now, it's imcomplete!

depth_reid

Code for Robust Depth-based Person Re-identification

dgm_re-id

Unsupervised Person Re-identification (ICCV 2017)

dukemtmc-reid_evaluation

ICCV2017 The Person re-ID Evaluation Code for DukeMTMC-reID Dataset (Including Dataset Download)

gait-recognition

Atchitectures of deep neural network for gait recognition and human pose estimation with pre-trained models

hci-group

hellow-world2

kepler

Kernelized Saliency-Based Person Re-Identification Through Multiple Metric Learning - Transactions on Image Processing (2015)

kernel-metric-learning-reid

Implementation for paper "Person re-identification using kernel-based metric learning methods"

lds-toolbox

LDS-toolbox: a matlab toolbox for linear dynamical systems (LDSs) modeling

metric-learn

Metric learning algorithms in Python

mlr

Metric Learning to Rank

open-reid

Open source person re-identification library in python

person-reid-benchmark

A Systematic Evaluation and Benchmark for Person Re-Identification: Features, Metrics, and Datasets

person_reid_baseline_pytorch

Pytorch implement of Person re-identification baseline. We arrived Rank@1=88.24%, mAP=70.68% only with softmax loss. Re-ranking is added.

plstm

part-aware lstm implemented in tensorflow using in skeleton-based action recognition with dataset NTU RGB+D.

reid_aer_onviper

Reid_AER

reid_framework

Person Re-ID framework in development during my PhD with the collaboration of Prof. Dr. William Robson Schwartz (UFMG)

reid_slef-training_tomm2017

Enhancing Person Re-Identification in a self-trained subspace

st-nbnn-demo

The demo of ST-NBNN for skeleton-based action recognition