5 citations · 5 across the 3 of their papers we have counts for
5 papers
Stress-Testing Point Cloud Registration on Automotive LiDAR
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 drivi…
DeepBBS: Deep Best Buddies for Point Cloud Registration
Itan Hezroni, Amnon Drory, Raja Giryes +1
Recently, several deep learning approaches have been proposed for point cloud registration. These methods train a network to generate a representation that helps finding matching p…
Best Buddies Registration for Point Clouds
Amnon Drory, Tal Shomer, Shai Avidan +1
We propose new, and robust, loss functions for the point cloud registration problem. Our loss functions are inspired by the Best Buddies Similarity (BBS) measure that counts the nu…
The Oracle of DLphi
Dominik Alfke, Weston Baines, Jan Blechschmidt +24
We present a novel technique based on deep learning and set theory which yields exceptional classification and prediction results. Having access to a sufficiently large amount of l…
The Resistance to Label Noise in K-NN and DNN Depends on its Concentration
Amnon Drory, Oria Ratzon, Shai Avidan +1
We investigate the classification performance of K-nearest neighbors (K-NN) and deep neural networks (DNNs) in the presence of label noise. We first show empirically that a DNN's p…