Amnon Drory
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Stress-Testing Point Cloud Registration on Automotive LiDAR Open
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. Recent years have seen a significant improvement in glo…
DeepBBS: Deep Best Buddies for Point Cloud Registration Open
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 points in two 3D point clouds. Finding good matches allows t…
The Oracle of DLphi Open
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 labelled training data, our methodology is capable of predic…
The Resistance to Label Noise in K-NN and DNN Depends on its\n Concentration Open
We investigate the classification performance of K-nearest neighbors (K-NN)\nand deep neural networks (DNNs) in the presence of label noise. We first show\nempirically that a DNN's prediction for a given test example depends on the\nlabels…
The Resistance to Label Noise in K-NN and DNN Depends on its Concentration Open
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 prediction for a given test example depends on the labels of…