15 citations · 52 across the 9 of their papers we have counts for
8 papers · 1 filter
Explaining YOLO: Leveraging Grad-CAM to Explain Object Detections
Armin Kirchknopf, Djordje Slijepcevic, Ilkay Wunderlich +3
We investigate the problem of explainability for visual object detectors. Specifically, we demonstrate on the example of the YOLO object detector how to integrate Grad-CAM into the…
Real Estate Attribute Prediction from Multiple Visual Modalities with Missing Data
Eric Stumpe, Miroslav Despotovic, Zedong Zhang +1
The assessment and valuation of real estate requires large datasets with real estate information. Unfortunately, real estate databases are usually sparse in practice, i.e., not for…
Bounded logit attention: Learning to explain image classifiers
Thomas Baumhauer, Djordje Slijepcevic, Matthias Zeppelzauer
Explainable artificial intelligence is the attempt to elucidate the workings of systems too complex to be directly accessible to human cognition through suitable side-information r…
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…
A Study on Topological Descriptors for the Analysis of 3D Surface Texture
Matthias Zeppelzauer, Bartosz Zielinski, Mateusz Juda +1
Methods from computational topology are becoming more and more popular in computer vision and have shown to improve the state-of-the-art in several tasks. In this paper, we investi…