tanqiu98

lidar_to_camera

Projection of Lidar 3d point cloud to 2d image plane

Durham-PhD-Thesis-Template

ca4oa-music-chatbot

slurm_hpc_helper

The HPC Slurm helper simplifies job configuration with a user-friendly design, saving time through predefined settings and minimizing errors with dropdown menus. It supports real-time interaction, reusability of past configurations, and online debugging, enhancing accessibility across devices.

LiM3D

🔥(CVPR 2023) Less is More: Reducing Task and Model Complexity for 3D Point Cloud Semantic Segmentation

DurLAR

A High-fidelity 128-channel LiDAR Dataset with Panoramic Ambient and Reflectivity Imagery for Multi-modal Autonomous Driving Applications

HOI-Learning-List

A list of Human-Object Interaction Learning.

mmdetection

OpenMMLab Detection Toolbox and Benchmark

behave-dataset

Code to access BEHAVE dataset, CVPR'22

Multiclass-SGCN

pyKinectAzure

Python library to run Kinect Azure DK SDK functions

Azure-Kinect-Samples

Samples for Azure Kinect

human_object_interaction

Code for CVPR'21 paper "Learning Asynchronous and Sparse Human-Object Interaction in Videos".

gpnn

Code for ECCV2018 - Learning Human-Object Interactions by Graph Parsing Neural Networks.

Weakly-Supervised-Affordance-Detection

PoseWarper

Learning Temporal Pose Estimation from Sparsely Labeled Videos

yolov5

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

something_else

Code repository for the paper: 'Something-Else: Compositional Action Recognition with Spatial-Temporal Interaction Networks'

DMGNN

The implementation of DMGNN

pytorch-openpose

pytorch implementation of openpose including Hand and Body Pose Estimation.

openpose

OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation

NTURGB-D

Info and sample codes for "NTU RGB+D Action Recognition Dataset"

Shift-GCN

The implementation for "Skeleton-Based Action Recognition with Shift Graph Convolutional Network" (CVPR2020 oral).

2s-AGCN

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

MS-G3D

[CVPR 2020 Oral] PyTorch implementation of "Disentangling and Unifying Graph Convolutions for Skeleton-Based Action Recognition"

AS-GCN

The model architecture of AS-GCN (for human action recognition)

SGN

This is the implementation of CVPR2020 paper “Semantics-Guided Neural Networks for Efficient Skeleton-Based Human Action Recognition”.

openpose_train

Training repository for OpenPose

st-gcn

Spatial Temporal Graph Convolutional Networks (ST-GCN) for Skeleton-Based Action Recognition in PyTorch

NYU-DLSP20

NYU Deep Learning Spring 2020