activity
20172021
most citedSaliency Tubes: Visual Explanations for Spatio-Temporal Convolutions

35 citations · 57 across the 11 of their papers we have counts for

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Showing 2017Show all

5 papers · 1 filter

cs.CV2017★ 4 cited

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…

cs.CV2017★ 3 cited

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…

cs.CV2017

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…

cs.CV2017★ 1 cited

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…

cs.CV2017★ 3 cited

Web-based visualisation of head pose and facial expressions changes: monitoring human activity using depth data

Grigorios Kalliatakis, Nikolaos Vidakis, Georgios Triantafyllidis

Despite significant recent advances in the field of head pose estimation and facial expression recognition, raising the cognitive level when analysing human activity presents serio…