mkt1412

csg-os

Commonsense Scene Graph-based Target Localization for Object Search

VLPart

[ICCV2023] VLPart: Going Denser with Open-Vocabulary Part Segmentation

grasp_diffusion

Pytorch implementation of diffusion models on Lie Groups for 6D grasp pose generation https://sites.google.com/view/se3dif/home

LION

Latent Point Diffusion Models for 3D Shape Generation

denoising-diffusion-pytorch

Implementation of Denoising Diffusion Probabilistic Model in Pytorch

AffKpNet

The implementation and supplementary material for our RA-L work "An Affordance Keypoint Detection Network for Robot Manipulation".

GraspGPT_public

code implementation of GraspGPT and FoundationGrasp

rcsmbvd

本科毕业设计

frankapy

Python interface to control Franka Emika Panda Research Robot Arms.

website

EE5346_2023_project

It is a project for EE5346 in 2023.

aquarel

Styling matplotlib made easy

SciencePlots

Matplotlib styles for scientific plotting

Gate

Gate /Run

L2G

End-to-End Learning to Grasp from Object Point Clouds

voxfield

🦊 Voxfield: non-Projective Signed Distance Fields for Online Planning and 3D Reconstruction [IROS' 22]

HandEyeCalib-ROS

Detailed Eye in Hand calibration tutorial with ROS intergration

AFFGA-Net

Linux-installation-cammands

CSE-5001-Fall-2021

Final project CSE 5001 AAI 21 Fall

interaction-hotspots

Learning interaction hotspots from egocentric video

Self-Attention-GAN

Pytorch implementation of Self-Attention Generative Adversarial Networks (SAGAN)

FactorizableNet

Factorizable Net (Multi-GPU version): An Efficient Subgraph-based Framework for Scene Graph Generation

Stanford-CS231n-Spring-2020

Solution to Stanford CS231n Spring 2020

pytorch-mask-rcnn

testtime-smoothing-defense

Implementation of NeurIPS workshop paper "An Adaptive View of Adversarial Robustness from Test-time Smoothing Defense"

labelme

Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).

grasp_multiObject

Robotic grasp dataset for multi-object multi-grasp evaluation with RGB-D data. This dataset is annotated using the same protocal as Cornell Dataset, and can be used as multi-object extension of Cornell Dataset.

simData

The dataset of our RA-L work 'Learning Affordance Segmentation for Real-world Robotic Manipulation via Synthetic Images'

grasp_multiObject_multiGrasp

An implementation of our RA-L work 'Real-world Multi-object, Multi-grasp Detection'