69 citations · 69 across the 4 of their papers we have counts for
3 papers · 1 filter
Synthetic 3D Data Generation Pipeline for Geometric Deep Learning in Architecture
Stanislava Fedorova, Alberto Tono, Meher Shashwat Nigam +4
With the growing interest in deep learning algorithms and computational design in the architectural field, the need for large, accessible and diverse architectural datasets increas…
Domain Adaptation with Morphologic Segmentation
Jonathan Klein, Sören Pirk, Dominik L. Michels
We present a novel domain adaptation framework that uses morphologic segmentation to translate images from arbitrary input domains (real and synthetic) into a uniform output domain…
OIL: Observational Imitation Learning
Guohao Li, Matthias Müller, Vincent Casser +3
Recent work has explored the problem of autonomous navigation by imitating a teacher and learning an end-to-end policy, which directly predicts controls from raw images. However, t…