Part Validation using Kinect and Augmented Reality
August 21, 2017
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
Research Blog
Feature aggregation using VLAD and netVLAD
June 17, 2017
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 on 3D Data – References
May 24, 2017
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
TensorFlow – Deep MNIST for Experts tutorial
February 15, 2017
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
First Steps in Deep Learning Using TensorFlow
February 9, 2017
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,
Recommended Courses For Candidates
January 23, 2017
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
The 1st Winter School in Computer Science and Engineering on Computer Vision
January 13, 2017
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
Completed Stanford’s Machine Learning Course on Coursera
December 27, 2016
Just finished my first online course on Machine Learning ! ! ! If you are new to this topic or find it interesting I totally recommend it.