Course Project for CS763 Computer Vision IIT Bombay
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Updated
May 5, 2018 - Python
Course Project for CS763 Computer Vision IIT Bombay
The tensorflow implementation of Temporal Transformer Module (TTM).
Hierarchical Co-occurrence Network with Prototype Loss for Few-shot Learning (PyTorch)
Keras implementation for Co-occurrence-Feature-Learning-from-Skeleton-Data-for-Action-Recognition
Unofficial Tensorflow implementation of the AAAI'18 paper "Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition"
Unofficial Tensorflow implementation of the CVPR'19 paper "Two-Stream Adaptive Graph Convolutional Networks for Skeleton-Based Action Recognition"
Skeleton-based Action Recognition Papers and Small Notes and Top 2 Leaderboard for NTU-RGBD
Online 3D skeleton-based action recognition with a single RGB camera
The Official PyTorch implementation of "Learning Multi-View Interactional Skeleton Graph for Action Recognition" in TPAMI 2020
The Official PyTorch implementation of "3D Human Action Representation Learning via Cross-View Consistency Pursuit" in CVPR 2021
Implementation of some popular skeleton based Human Action Recognition methods basis on Deep Neural Networks.
Attention-Oriented Action Recognition for Real-Time Human-Robot Interaction (ICPR 2020)
Skeleton-based action recognition models in PyTorch, including Two-Stream CNN, HCN, HCN-Baseline, Ta-CNN and Dynamic GCN
A systematic collection of various skeleton-based models (Datasets, Papers, Codes, Leaderboards).
Pose Refinement Graph Convolutional Network for Skeleton-based Action Recognition(RA-L with ICRA 2021)
Signal Level Deep Metric Learning for One-Shot Action Recognition
A pytorch reproduction of { Co-occurrence Feature Learning from Skeleton Data for Action Recognition and Detection with Hierarchical Aggregation }.
A OpenMMLAB toolbox for human pose estimation, skeleton-based action recognition, and action synthesis.
Encoder-Decoder with Multiscale Spatio-Temporal Attention for Skeleton-based Action Recognition (PyTorch implementation)
Human Action Recognition using skeleton and infrared data. State-of-the-art results on NTU RBG+D. Implemented with PyTorch.
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