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
Tensorforce: A TensorFlow library for applied reinforcement learning
Official repository for "TexPose: Neural Texture Learning for Self-Supervised 6D Object Pose Estimation", CVPR 2023.
清华大学计算机学科推荐学术会议和期刊列表
Code for the paper "The Feeling of Success: Does Touch Sensing Help Predict Grasp Outcomes?"
A list of all named GANs!
This page was created to maintain a list of keywords chosen to be introduced in our group meeting.
Cornell Touchdown natural language navigation and spatial reasoning dataset.
Updated list of public BitTorrent trackers
Implementation of Transformer in Transformer, pixel level attention paired with patch level attention for image classification, in Pytorch
unet for image segmentation
U-Net model for Keras
Official Keras Implementation for UNet++ in IEEE Transactions on Medical Imaging and DLMIA 2018
unet_keras use image Semantic segmentation
🦄 🎃 👻 V2Ray 路由规则文件加强版,可代替 V2Ray 官方 geoip.dat 和 geosite.dat,兼容 Shadowsocks-windows、Xray-core、Trojan-Go 和 leaf。Enhanced edition of V2Ray rules dat files, compatible with Xray-core, Shadowsocks-windows, Trojan-Go and leaf.
Vision and Language Agent Navigation
Code for the paper Learning Visible Connectivity Dynamics for Cloth Smoothing
Volumetric-based Contact Point Detection for 7-DoF Grasping
Code for the Scene Graph Generation part of CVPR 2019 oral paper: "Learning to Compose Dynamic Tree Structures for Visual Contexts"
This is a driver providing data from VICON motion capture systems. It is based on the vicon_mocap package from the starmac stacks. Additionally, it can handle multiple subjects / segments and allows to calibrate an origin of the vehicle(s) as this is somehow tedious with the VICON Tracker.
Code for the ICML 2021 (long talk) paper: "ViLT: Vision-and-Language Transformer Without Convolution or Region Supervision"
project page for VinVL
Related papers and codes for vision-based robotic grasping
Main repository for Vispy
Train robotic agents to learn to plan pushing and grasping actions for manipulation with deep reinforcement learning.
A novel visual-tactile dataset for robotic manipulation
Visualization tools for the autolab
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch