Stress-Testing Point Cloud Registration on Automotive LiDAR

1 code implementation • 16 Apr 2022 • Amnon Drory, Shai Avidan, Raja Giryes

Rigid Point Cloud Registration (PCR) algorithms aim to estimate the 6-DOF relative motion between two point clouds, which is important in various fields, including autonomous driving.

Autonomous Driving Benchmarking +1

DeepBBS: Deep Best Buddies for Point Cloud Registration

1 code implementation • 6 Oct 2021 • Itan Hezroni, Amnon Drory, Raja Giryes, Shai Avidan

The Best Buddies criterion is a strong indication for correct matches that, in turn, leads to accurate registration.

Point Cloud Registration

A Spectral Perspective of Neural Networks Robustness to Label Noise

no code implementations • 1 Jan 2021 • Oshrat Bar, Amnon Drory, Raja Giryes

Deep networks usually require a massive amount of labeled data for their training.

Best Buddies Registration for Point Clouds

1 code implementation • 5 Oct 2020 • Amnon Drory, Tal Shomer, Shai Avidan, Raja Giryes

We propose new, and robust, loss functions for the point cloud registration problem.

Point Cloud Registration Template Matching

The Oracle of DLphi

no code implementations • 17 Jan 2019 • Dominik Alfke, Weston Baines, Jan Blechschmidt, Mauricio J. del Razo Sarmina, Amnon Drory, Dennis Elbrächter, Nando Farchmin, Matteo Gambara, Silke Glas, Philipp Grohs, Peter Hinz, Danijel Kivaranovic, Christian Kümmerle, Gitta Kutyniok, Sebastian Lunz, Jan Macdonald, Ryan Malthaner, Gregory Naisat, Ariel Neufeld, Philipp Christian Petersen, Rafael Reisenhofer, Jun-Da Sheng, Laura Thesing, Philipp Trunschke, Johannes von Lindheim, David Weber, Melanie Weber

We present a novel technique based on deep learning and set theory which yields exceptional classification and prediction results.

General Classification

The Resistance to Label Noise in K-NN and DNN Depends on its Concentration

no code implementations • 30 Mar 2018 • Amnon Drory, Oria Ratzon, Shai Avidan, Raja Giryes

We investigate the classification performance of K-nearest neighbors (K-NN) and deep neural networks (DNNs) in the presence of label noise.

General Classification Multi-class Classification