
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 creation of the IKEA assembly Dataset. The tale of 4 postdocs, a major screw-up, and how they emerged victoriously.
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.
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
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
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
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
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