A review of the use of examples for automating architectural design tasks

NO Sönmez - Computer-Aided Design, 2018 - Elsevier
Abstract Recent Artificial Intelligence studies have achieved substantial improvements in
practical tasks by using extensive amounts of data. We assume that a substantial part of the …

Building façade style classification from UAV imagery using a Pareto-optimized deep learning network

R Maskeliūnas, A Katkevičius, D Plonis, T Sledevič… - Electronics, 2022 - mdpi.com
The article focuses on utilizing unmanned aerial vehicles (UAV) to capture and classify
building façades of various forms of cultural sites and structures. We propose a Pareto …

Neural procedural reconstruction for residential buildings

H Zeng, J Wu, Y Furukawa - Proceedings of the European …, 2018 - openaccess.thecvf.com
This paper proposes a novel 3D reconstruction approach, dubbed Neural Procedural
Reconstruction (NPR), which trains deep neural networks to procedurally apply shape …

Learning to align semantic segmentation and 2.5 d maps for geolocalization

A Armagan, M Hirzer, PM Roth… - Proceedings of the …, 2017 - openaccess.thecvf.com
We present an efficient method for geolocalization in urban environments starting from a
coarse estimate of the location provided by a GPS and using a simple untextured 2.5 D …

Understanding a city from its visuals: An interdisciplinary program proposal

CB Akgül, ON Sönmez, S Alaçam - 2017 25th Signal …, 2017 - ieeexplore.ieee.org
This study aims to provide an overview on the intersection and interaction between
architecture, urban modeling, planning fields and computer vision field. The reflection of the …

[PDF][PDF] Building Façade Style Classification from UAV Imagery Using a Pareto-Optimized Deep Learning Network. Electronics 2022, 11, 3450

R Maskeliunas, A Katkevicius, D Plonis, T Sledevic… - 2022 - academia.edu
The article focuses on utilizing unmanned aerial vehicles (UAV) to capture and classify
building façades of various forms of cultural sites and structures. We propose a Pareto …