A common approach to solving tasks, such as node classification or link
...
Network data are ubiquitous in modern machine learning, with tasks of
in...
Embedding nodes of a large network into a metric (e.g., Euclidean) space...
The choice of scene representation is crucial in both the shape inferenc...
Generally capable Spatial AI systems must build persistent scene
represe...
Event cameras are bio-inspired sensors that work radically different fro...
We propose a new multi-instance dynamic RGB-D SLAM system using an
objec...
Ever more robust, accurate and detailed mapping using visual sensing has...
We introduce gvnn, a neural network library in Torch aimed towards bridg...
The purpose of this document is to specify the basic data types required...