Stavros Niafas

Stavros Niafas
University of Peloponnese - NCSR Demokritos · Informatics and Telecommunications

MSc. Informatics Engineer

About

7
Publications
1,636
Reads
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20
Citations
Citations since 2017
4 Research Items
17 Citations
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Publications

Publications (7)
Data
Depth-of-Field(DoF) dataset is comprised of 1200 annotated images, binary annotated with(0) and without(1) bokeh effect, shallow or deep depth of field. It is a forked data set from the Unsplash 25K data set.
Thesis
Full-text available
This thesis aims to recognize and quantify image aesthetics in a certain photography style (Bokeh) which is characterized from the level in depth of field. The problem is treated as a task related to image aesthetics quality assessment approached with deep active learning. Starting with, the reader is introduced to photography basics. We refer to...
Conference Paper
A novel approach for feature learning using deep learning is presented. More specifically, a Convolutional Neural Network that is trained using feature correspondences learns to map a given image patch to a descriptor. Therefore, descriptors are directly learned from examples instead of being hand-crafted. The proposed approach is evaluated in a ch...
Thesis
Full-text available
During the last few years, the production of digital content has been continuously increasing. Digital cameras have been integrated to computers, mobile phones and tablets and have become interdependent to many daily activities. As a result, the research fields of digital image processing and computer vision have benefited from content availability...
Data
The database comprises of 900 photos taken from 60 buildings in the area of Vyronas, Athens, Greece. It consists of urban buildings with a variety of architectural specifications, number of floors, construction age, colours, etc. For each building we have took a series of 15 photos, under 5 viewpoints and 3 illumination conditions. All photos are t...
Article
Wireless capsule endoscopy (WCE) enables the non-invasive examination of the gastrointestinal (GI) tract by a swallowable device equipped with a miniature camera. Accurate localization of the capsule in the GI tract enables accurate localization of abnormalities for medical interventions such as biopsy and polyp resection; therefore, the optimizati...

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