6 citations · 6 across the 1 of their papers we have counts for
3 papers
A Novel Adaptive Deep Network for Building Footprint Segmentation
A. Ziaee, R. Dehbozorgi, M. Döller
Building footprint segmentations for high resolution images are increasingly demanded for many remote sensing applications. By the emerging deep learning approaches, segmentation n…
Visual Estimation of Building Condition with Patch-level ConvNets
David Koch, Miroslav Despotovic, Muntaha Sakeena +2
The condition of a building is an important factor for real estate valuation. Currently, the estimation of condition is determined by real estate appraisers which makes it subjecti…
Automatic Prediction of Building Age from Photographs
Matthias Zeppelzauer, Miroslav Despotovic, Muntaha Sakeena +2
We present a first method for the automated age estimation of buildings from unconstrained photographs. To this end, we propose a two-stage approach that firstly learns characteris…