35 citations · 63 across the 12 of their papers we have counts for
5 papers · 1 filter
Material Classification in the Wild: Do Synthesized Training Data Generalise Better than Real-World Training Data?
Grigorios Kalliatakis, Anca Sticlaru, George Stamatiadis +4
We question the dominant role of real-world training images in the field of material classification by investigating whether synthesized data can generalise more effectively than r…
Performance Characterization of Image Feature Detectors in Relation to the Scene Content Utilizing a Large Image Database
Bruno Ferrarini, Shoaib Ehsan, Ales Leonardis +2
Selecting the most suitable local invariant feature detector for a particular application has rendered the task of evaluating feature detectors a critical issue in vision research.…
A Paradigm Shift: Detecting Human Rights Violations Through Web Images
Grigorios Kalliatakis, Shoaib Ehsan, Klaus D. McDonald-Maier
The growing presence of devices carrying digital cameras, such as mobile phones and tablets, combined with ever improving internet networks have enabled ordinary citizens, victims…
Detection of Human Rights Violations in Images: Can Convolutional Neural Networks help?
Grigorios Kalliatakis, Shoaib Ehsan, Maria Fasli +3
After setting the performance benchmarks for image, video, speech and audio processing, deep convolutional networks have been core to the greatest advances in image recognition tas…
Evaluating Deep Convolutional Neural Networks for Material Classification
Grigorios Kalliatakis, Georgios Stamatiadis, Shoaib Ehsan +4
Determining the material category of a surface from an image is a demanding task in perception that is drawing increasing attention. Following the recent remarkable results achieve…