Recently we finished a paper about 3d point cloud classification and segmentation using our proposed 3D modified Fisher Vector (3DmFV) representation and convolutional neural networks (CNNs). It is
*UPDATE (8.9.18) – I recently discovered a wonderful online LaTex writing tool called overleaf. I strongly recommend it over TeXMaker (presented below). It offers a nice and clean user interface along
Last week I gave a talk in the Omek-3D forum. The title of the talk was (the same as the title of this post) “3D Point Cloud Classification using
As a PhD student, time is my most valuable resource. Unfortunately, there is never enough of it to do all the things I wish I could. Sometimes I
Before the age of deep learning, hand-crafted features such as SIFT ruled the computer vision world. These features combined with Bag of Features (BOF) methods were very popular
Deep learning (DL) using convolution neural networks (CNN) architectures is now a standard for solving classification tasks in images. When dealing with 3D data the problem becomes more
The second step in my quest for deep learning for 3D point clouds was to try recognizing MNIST digits using a deep convolutional network (The first step can
In the past year, there was this phrase that kept popping up everywhere – “Deep learning”. It created the impression that you can do everything with it. Therefore,
Every time a new MSc. or PhD candidate comes to the lab, one of the first questions they ask is “Which courses should I take?” This post aims
As the title implies, on 8-13 of January 2017 I attended “The 1st Winter School in Computer Science and Engineering on Computer Vision” At the Israel Institute for Advanced