Research Blog
Talking Papers Podcast – The Beginning
January 15, 2022
The talking papers podcast is a podcast by researchers for researchers (and students or professionals) that aims to be a new medium for disseminating cutting edge research.
The story behind the “IKEA Assembly dataset” paper
August 24, 2020
The story behind the creation of the IKEA assembly Dataset. The tale of 4 postdocs, a major screw-up, and how they emerged victoriously.
Surface fitting for 3D Point Cloud : DeepFit
July 27, 2020
We propose a method for 3D point cloud surface fitting. This method, called DeepFit, incorporates a neural network to learn point-wise weights for weighted least squares polynomial surface fitting.
How to stand out (in academia) during COVID-19?
July 10, 2020
I am now in the middle of my first year of post-doc at ANU. COVID-19 has changed the world as we knew it. Even more so the academic
CVPR 2019
June 24, 2019
About three months ago, I hit one of my first career goals – have a paper accepted to CVPR (achievement unlocked ! ). Last week I had the
How to Visualize Normal Vectors on 3D Point Clouds
April 11, 2019
This post will show you a good way to visualize normal vectors on 3D point clouds. At the beginning of my master’s degree, I was working on a
Israel Machine Vision Conference (IMVC) 2019
April 7, 2019
This was my first visit to IMVC which just celebrated 10 years of activity. I found it to be a very interesting combination of academia and industry work
Nesti-Net: Normal estimation for 3D Point Clouds
March 22, 2019
Important links: [paper], [code], [video],[poster] Abstract We propose a normal estimation method for unstructured 3D point clouds. This method, called Nesti-Net, builds on a new local point cloud
Robotic Vision Summer School (RVSS) 2019
February 10, 2019
I recently accepted a research fellow position at the ANU node of the Australian Centre for Robotic Vision (ACRV) under the supervision of Prof. Stephen Gould (starting