KuangenZhang

ldgcnn

Linked Dynamic Graph CNN: Learning through Point Cloud by Linking Hierarchical Features

HMM-decision-fusion

Sequential decision fusion for environmental classification in assistive walking

ATD3

Environmental-classification

Environmental features recognition for lower limb prostheses toward predictive walking

GFA

UCSA_HIP

Unsupervised Cross-subject Adaptation for Predicting Human Locomotion Intent

WalkingRobotLab

FPP

XsensIMUReader

Xsens IMU Reader

adInfoHRL

Discriminative-Feature-Alignment

Discriminative Feature Alignment for Unsupervised Domain Adaptation

EDH

gaze_algorithm

hybrid-zero-RL-rabbit

ImageSegTool

KuangenZhang.github.io

Kuangen Zhang | Homepage

pybullet_robots

Prototyping robots for PyBullet (F1/10 MIT Racecar, Sawyer, Baxter and Dobot arm, Boston Dynamics Atlas and Botlab environment)

pytorch_geometric

Geometric Deep Learning Extension Library for PyTorch

StructuredRL

Weiwei

Weiwei's project.

BMS

Code for 'Squeezing Backbone Feature Distributions to the Max for Efficient Few-Shot Learning'

CorrectAndSmooth

[ICLR 2021] Combining Label Propagation and Simple Models Out-performs Graph Neural Networks (https://arxiv.org/abs/2010.13993)

cosmix-uda

Official PyTorch implementation of the ECCV 2022 paper "CoSMix: Compositional Semantic Mix for Domain Adaptation in 3D LiDAR Segmentation"

embedding-propagation

Codebase for Embedding Propagation: Smoother Manifold for Few-Shot Classification

MCD_DA

ners

Code for "NeRS: Neural Reflectance Surfaces for Sparse-View 3D Reconstruction in the Wild," in NeurIPS 2021

neural-galerkin

[SIGGRAPH Asia 2022] A Neural Galerkin Solver for Accurate Surface Reconstruction

pypoisson

Screened Poisson Surface Reconstruction Python Binding

TIM

(NeurIPS 2020) Transductive Information Maximization for Few-Shot Learning https://arxiv.org/abs/2008.11297

TPN-pytorch

Pytorch Code for ICLR19 paper: Learning to Propagate Labels: Transductive Propagation Network for Few-shot Learning.