My paper list in undergraduate project

2D Pose estimation

DeepPose: Human Pose Estimation via Deep Neural Networks

OpenPose_Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields

Stacked Hourglass Networks for Human Pose Estimation

Simple Baselines for Human Pose Estimation and Tracking

Deep High-Resolution Representation Learning for Human Pose Estimation

Bottom-Up Higher-Resolution Networks for Multi-Person Pose Estimation

Self-Supervised Learning of 3D Human Pose using Multi-view Geometry

3D Pose Estimation

SMPL_A Skinned Multi-Person Linear Model

VIBE_Video Inference for Human Body Pose and Shape Estimation

Action recognition

Eye in the Sky: Real-time Drone Surveillance System (DSS) for Violent Individuals Identification using ScatterNet Hybrid Deep Learning Network

Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition

Interaction Relational Network for Mutual Action Recognition

A Closer Look at Spatiotemporal Convolutions for Action Recognition

Knowledge Integration Networks for Action Recognition

Large-scale weakly-supervised pre-training for video action recognition

Learning Spatiotemporal Features with 3D Convolutional Networks

Optimized Skeleton-based Action Recognition via Sparsified Graph Regression

Spatial temporal graph convolutional networks for skeleton-based dynamic hand gesture recognition

View Adaptive Neural Networks for High Performance Skeleton-based Human Action Recognition

3D Human Pose Machines with Self-supervised Learning

An End-to-End Spatio-Temporal Attention Model for Human Action Recognition from Skeleton Data

Human Action Recognition and Prediction_A Survey

Spatial-Temporal Graph Convolutional Networks for Sign Language Recognition

Temporal Pyramid Network for Action Recognition

Temeporal Action Detection

Temporal Action Detection with Structured Segment Networks

2D/3D Pose Estimation and Action Recognition using Multitask Deep Learning

Graph neural networks

graph neural network review

Semi-Supervised Classification with Graph Convolutional Networks

DeepGCNs: Making GCNs Go as Deep as CNNs

Graph Attention Networks

Graph Matching Networks for Learning the Similarity of Graph Structured Objects

Relational inductive biases, deep learning, and graph networks

Graph Edge Convolutional Neural Networks for Skeleton Based

Inductive Representation Learning on Large Graphs

Learning Graph Convolutional Network for Skeleton-based Human Action

DROPEDGE: TOWARDS DEEP GRAPH CONVOLUTIONAL NETWORKS ON NODE CLASSIFICATION

Others

Quadratic Video Interpolation

Violent Flows_Real-Time Detection of Violent Crowd Behavior

The Kinetics Human Action Video Dataset

NTU RGB+D_A Large Scale Dataset for 3D Human Activity Analysis

action_recognition_tutorial

Multi-Label Image Recognition with Graph Convolutional Networks