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aaronhd Goto Github PK

followers: 9.0 following: 38.0 repos: 276.0 gists: 2.0

Name: Yaoxian(Aaron) Song

Type: User

Company: Zhejiang University Research Fellow | PhD Fudan University & Westlake University

Bio: Research Fellow , research on NLP+X in Robotic Manipulation for Cognitive Decision, Underwater grasping

Location: Hangzhou, Zhejiang, China

Yaoxian(Aaron) Song's Projects

dopamine icon dopamine

Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.

driving-in-the-matrix icon driving-in-the-matrix

Steps to reproduce training results for the paper Driving in the Matrix: Can Virtual Worlds Replace Human-Generated Annotations for Real World Tasks?

drqn-tensorflow icon drqn-tensorflow

Deep recurrent Q Learning using Tensorflow, openai/gym and openai/retro

druva icon druva

Dataset proposed in "Self-supervised Monocular Underwater Depth Recovery, Image Restoration, and a Real-sea Video Dataset", ICCV 2023

easy_handeye icon easy_handeye

Simple, straighforward ROS library for hand-eye calibration

emergent-language icon emergent-language

An implementation of Emergence of Grounded Compositional Language in Multi-Agent Populations by Igor Mordatch and Pieter Abbeel

examples icon examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

fcn.berkeleyvision.org icon fcn.berkeleyvision.org

Fully Convolutional Networks for Semantic Segmentation by Jonathan Long*, Evan Shelhamer*, and Trevor Darrell. CVPR 2015 and PAMI 2016.

fixit icon fixit

Codes of CVPR2022 paper: Fixing Malfunctional Objects With Learned Physical Simulation and Functional Prediction

gaussian_yolov3 icon gaussian_yolov3

Gaussian YOLOv3: An Accurate and Fast Object Detector Using Localization Uncertainty for Autonomous Driving (ICCV, 2019)

geonet icon geonet

GeoNet: Geometric Neural Network for Joint Depth and Surface Normal Estimation

ggcnn icon ggcnn

Generative Grasping CNN from "Closing the Loop for Robotic Grasping: A Real-time, Generative Grasp Synthesis Approach" (RSS 2018)

ggcnn_kinova_grasping icon ggcnn_kinova_grasping

Generative Grasping CNN from "Closing the Loop for Robotic Grasping: A Real-time, Generative Grasp Synthesis Approach" (RSS 2018)

gnnpapers icon gnnpapers

Must-read papers on graph neural networks (GNN)

gpd icon gpd

Detect 6-DOF grasp poses in point clouds

gqcnn icon gqcnn

Python modules for GQ-CNN training and deployment, with ROS integration

graph-rcnn.pytorch icon graph-rcnn.pytorch

Pytorch code for our ECCV 2018 paper "Graph R-CNN for Scene Graph Generation" and other papers

graph_sampling icon graph_sampling

Graph Sampling is a python package containing various approaches which samples the original graph according to different sample sizes.

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