49 citations · 131 across the 10 of their papers we have counts for
3 papers · 1 filter
3D Point Cloud Classification and Segmentation using 3D Modified Fisher Vector Representation for Convolutional Neural Networks
Yizhak Ben-Shabat, Michael Lindenbaum, Anath Fischer
The point cloud is gaining prominence as a method for representing 3D shapes, but its irregular format poses a challenge for deep learning methods. The common solution of transform…
Inner-Scene Similarities as a Contextual Cue for Object Detection
Noa Arbel, Tamar Avraham, Michael Lindenbaum
Using image context is an effective approach for improving object detection. Previously proposed methods used contextual cues that rely on semantic or spatial information. In this…
Graph Based Over-Segmentation Methods for 3D Point Clouds
Yizhak Ben-Shabat, Tamar Avraham, Michael Lindenbaum +1
Over-segmentation, or super-pixel generation, is a common preliminary stage for many computer vision applications. New acquisition technologies enable the capturing of 3D point clo…