most cited3D Point Cloud Classification and Segmentation using 3D Modified Fisher Vector Representation for Convolutional Neural Networks

49 citations · 51 across the 2 of their papers we have counts for

collaborators

2 papers

cs.CV2017★ 49 cited

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…

cs.CV2017★ 2 cited

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…