hrheydarian

3D_SMLM_visualization

rotation_averaging

libicp

LIBICP: C++ Library for Iterative Closest Point Matching

2014-JMIV-SlicedTransport

N. Bonneel, J. Rabin, G. Peyré, H. Pfister. Sliced and Radon Wasserstein Barycenters of Measures. Journal of Mathematical Imaging and Vision, 51(1), pp. 22–45, 2015.

3D_multiview_reg

Learning multiview 3D point cloud registration

ba-example

Simple MATLAB example of bundle adjustment on toy dataset

Density-ratio-based-clustering

Discovering clusters with varying densities

dlaicourse

Notebooks for learning deep learning

draft

expdist_entry

interface between matlab and cuda code

fishes

short description about fishes repository

fishes-1

Short description about fishes repository

geomstats

Computations and statistics on manifolds with geometric structures.

github-slideshow

A robot powered training repository :robot:

gmmreg

Implementations of the robust point set registration algorithm described in the paper "Robust Point Set Registration Using Gaussian Mixture Models", Bing Jian and Baba C. Vemuri, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2011, 33(8), pp. 1633-1645.

homework

Assignments for CS294-112.

hrheydarian.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

K_best_trans_sync

libkeops

OT-sync

pointnet2-tensorflow2

Pointnet++ modules implemented as tensorflow 2 keras layers.

SE-Sync

An implementation of the SE-Sync algorithm for synchronization over the special Euclidean group.

SMLM

Single Molecule Localization Microscopy Literature

smlm_classification2d

smlm_datafusion2d

smlm_datafusion3d

Software for 3D particle averaging of SMLM data

spatial-math

Spatial math primitives for MATLAB

stanford-tensorflow-tutorials

This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.

torchnca

A PyTorch implementation of Neighbourhood Components Analysis.

WBC_Matlab

Efficient Wasserstein Barycenter in MATLAB (for "Fast Discrete Distribution Clustering Using Wasserstein Barycenter with Sparse Support" TSP)