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action-recognition-visual-attention

Action recognition using soft attention based deep recurrent neural networks

atom

Open-source, web application for archival description and public access.

cdn

Code for "Mining the Benefits of Two-stage and One-stage HOI Detection"

cntk

Computational Network Toolkit (CNTK)

cnuhtml

cornernet

digits

Deep Learning GPU Training System

fine-grained-or-not

Code release for Your “Flamingo” is My “Bird”: Fine-Grained, or Not (CVPR 2021 Oral)

hake-action-torch

HAKE-Action in PyTorch

hidden-two-stream

Caffe implementation for "Hidden Two-Stream Convolutional Networks for Action Recognition"

jihee

leaguesharp

lstm-human-activity-recognition

Human activity recognition using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six categories (WALKING, WALKING_UPSTAIRS, WALKING_DOWNSTAIRS, SITTING, STANDING, LAYING).

matlab-mnist-two-layer-perceptron

A two layer perceptron implemented in MatLab to recognize handwritten digits based on the MNIST dataset.

mmpose

OpenMMLab Pose Estimation Toolbox and Benchmark.

models

Models built with TensorFlow

monetdb

This is the official mirror of the MonetDB Mercurial repository. Please note that we do not accept pull requests on github. The regresession test results can be found on the MonetDB Testweb http://monetdb.cwi.nl/testweb/web/status.php .For contributions please see: https://www.monetdb.org/Developers

openpose

OpenPose: A Real-Time Multi-Person Keypoint Detection And Multi-Threading C++ Library

pose-tensorflow

Human Pose estimation with TensorFlow framework

protobuf

Protocol Buffers - Google's data interchange format

pytorch-pose

A PyTorch toolkit for 2D Human Pose Estimation.

pytorch-tutorial

Build your neural network easy and fast

pytorch-yolo2

Convert https://pjreddie.com/darknet/yolo/ into pytorch

qpic

Repo for CVPR2021 paper "QPIC: Query-Based Pairwise Human-Object Interaction Detection with Image-Wide Contextual Information"

rnn-tutorial-rnnlm

Recurrent Neural Network Tutorial, Part 2 - Implementing a RNN in Python and Theano

spatially-conditioned-graphs

Official PyTorch implementation for our paper "Spatially Conditioned Graphs for Detecting Human-Object Interactions"

test

test repo

test-repo

this is a test repo

twostreamfusion

Code release for "Convolutional Two-Stream Network Fusion for Video Action Recognition", CVPR 2016.

upt

Official PyTorch implementation for CVPR2022 paper "Efficient Two-Stage Detection of Human–Object Interactions with a Novel Unary–Pairwise Transformer"