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2s-agcn

Two-Stream Adaptive Graph Convolutional Networks for Skeleton-Based Action Recognition in CVPR19

action-recognition-visual-attention

Action recognition using soft attention based deep recurrent neural networks

attention3dhumanpose

The project is an official implementation of our CVPR2020 paper "Attention Mechanism Exploits Temporal Contexts: Real-time 3D Human Pose Reconstruction"

bindsnet

Simulation of spiking neural networks (SNNs) using PyTorch.

bindsnet_experiments

Collection of experimental Python and accompanying Bash scripts for training and evaluation of BindsNET networks.

gesture_recognition_on_rgb_video

Gesture Recognition in RGB Videos Using Human Body Keypoints and Dynamic Time Warping

glimpse_clouds

Pytorch implementation of the paper "Glimpse Clouds: Human Activity Recognition from Unstructured Feature Points", F. Baradel, C. Wolf, J. Mille , G.W. Taylor, CVPR 2018

imitation-learning-paper-lists

Paper Collection for Imitation Learning in RL.

mil

Code for "One-Shot Visual Imitation Learning via Meta-Learning"

mmskeleton

A OpenMMLAB toolbox for human pose estimation, skeleton-based action recognition, and action synthesis.

norse

Deep learning with spiking neural networks (SNNs) in PyTorch.

opencv-learning-tutorials

openpifpaf

Official implementation of "PifPaf: Composite Fields for Human Pose Estimation" in PyTorch.

pytorch-a2c-ppo-acktr-gail

PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).

snn-rl

Reinforcement Learning for Spiking Neural Networks

spiking-neural-network

Pure python implementation of SNN

temporal-segment-networks

Code & Models for Temporal Segment Networks (TSN) in ECCV 2016

zjuthesis

Zhejiang University Graduation Thesis LaTeX Template