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Hi, Iā€™m Pedro Gomes, researcher in graph neural networks for point clouds

pedro-dm-gomes's Projects

chamferdist icon chamferdist

Pytorch package to compute Chamfer distance between point sets (pointclouds).

emd icon emd

Computes the Earth Mover's Distance between two distributions using Scipy

flot icon flot

FLOT: Scene Flow Estimation by Learned Optimal Transport on Point Clouds

flownet3d icon flownet3d

FlowNet3D: Learning Scene Flow in 3D Point Clouds (CVPR 2019)

got icon got

Code accompanying the NeurIPS 2019 paper "GOT: An Optimal Transport framework for Graph comparison"

learning3d icon learning3d

This is a complete package of recent deep learning methods for 3D point clouds in pytorch (with pretrained models).

meteornet icon meteornet

MeteorNet: Deep Learning on Dynamic 3D Point Cloud Sequences (ICCV 2019 Oral)

millinoise icon millinoise

MilliNoise: a millimeter-wave sparse point cloud dataset in indoor scenarios

pointnet icon pointnet

PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation

pointrnn icon pointrnn

TensorFlow implementation of PointRNN, PointGRU and PointLSTM.

pytorchemd icon pytorchemd

PyTorch Wrapper for Earth-Mover-Distance (EMD) for 3D point cloud regression

radhar icon radhar

Human Activity Recognition from Point Clouds Generated through a Millimeter-wave Radar

samplenet icon samplenet

Differentiable Point Cloud Sampling (CVPR 2020 Oral)

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