jsll
Postdoctoral researcher in Robotics at KTH, Sweden. PhD in Robotics from Aalto University, Finland.
KTHStockholm Sweden
jsll's Stars
rail-berkeley/crossformer
anonrebuttal1234/pflora
otaheri/bps_torch
A Pytorch implementation of the bps code using chamfer distance on GPU
planetceres/pybullet-grasp
Forked from: https://github.com/carcamdou/cr_grasper
ahrm/sioyek
Sioyek is a PDF viewer with a focus on textbooks and research papers
ma-xu/pointMLP-pytorch
[ICLR 2022 poster] Official PyTorch implementation of "Rethinking Network Design and Local Geometry in Point Cloud: A Simple Residual MLP Framework"
MatthewPeterKelly/OptimTraj
A trajectory optimization library for Matlab
luost26/diffusion-point-cloud
:thought_balloon: Diffusion Probabilistic Models for 3D Point Cloud Generation (CVPR 2021)
vinits5/learning3d
This is a complete package of recent deep learning methods for 3D point clouds in pytorch (with pretrained models).
FlyingGiraffe/vnn
Vector Neurons: A General Framework for SO(3)-Equivariant Networks
tengyu-liu/diverse-and-stable-grasp
This repository shares the code to replicate result from the paper Synthesizing Diverse and Physically Stable Grasps with Arbitrary HandStructures using Differentiable Force Closure Estimation
NVlabs/contact_graspnet
Efficient 6-DoF Grasp Generation in Cluttered Scenes
UT-Austin-RPL/GIGA
Official PyTorch implementation of Synergies Between Affordance and Geometry: 6-DoF Grasp Detection via Implicit Representations
suriyadeepan/torchtest
Unit Testing for pytorch, based on mltest
nschloe/meshio
:spider_web: input/output for many mesh formats
menpo/menpo3d
Tools for manipulating 3D meshes within the Menpo project.
ethz-asl/vgn
Real-time 6 DOF grasp detection in clutter.
NVlabs/acronym
This repository contains a sample of the grasping dataset and tools to visualize grasps, generate random scenes, and render observations. The two sample files are in the HDF5 format.
MIT-SPARK/PD-MeshNet
Primal-Dual Mesh Convolutional Neural Networks
stanford-iprl-lab/torchfilter
Bayesian filters in PyTorch
KevinMusgrave/pytorch-metric-learning
The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.
BoChenYS/BPnP
Back-propagatable PnP
pyni/PointNet2_Grasping_Data_Part
The dataset of our paper for ICRA 2020
JonasSchult/dcm-net
This work is based on our paper "DualConvMesh-Net: Joint Geodesic and Euclidean Convolutions on 3D Meshes", which appeared at the IEEE Conference On Computer Vision And Pattern Recognition (CVPR) 2020.
enriccorona/YCB_Affordance
Release of the YCB-Affordance dataset (CVPR 2020 Oral)
yanx27/PointASNL
PointASNL: Robust Point Clouds Processing using Nonlocal Neural Networks with Adaptive Sampling (CVPR 2020)
facebookresearch/higher
higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather than individual training steps.
antao97/dgcnn.pytorch
A PyTorch implementation of Dynamic Graph CNN for Learning on Point Clouds (DGCNN)
HuguesTHOMAS/KPConv-PyTorch
Kernel Point Convolution implemented in PyTorch
dougsm/egad
EGAD! an Evolved Grasping Analysis Dataset