Me

Alexandros Stergiou

Utrecht University Computer Science Ph.D. student
a.g.stergiou@uu.nl UU personal page

Bio

My work is focused on Computer Vision, Machine Learning and Deep Learning

I am currently a full-time PhD student at Utrecht University's Department of Information and Computing Sciences. My project is based on Machine Learning and Computer Vision for human action and interaction recognition in everyday social settings, supervised by Dr. Ronald Poppe and Prof. Remco Veltkamp. Among others, I am working on improvements for the efficiency and explainabilty of spatio-temporal Deep Learning and Artificial Intelligence methods, in scene understanding and classification of videos.

Before my PhD, I obtained my Masters in Advance Computer Science from University of Essex working with Dr. Adrian Clark. During this time I also worked at the Institute for Analytics and Data Science (IADS) for a summer project on Neural Networks for structured population data with Dr. Spyros Samothrakis. My Bachelor was also at the University of Essex in Computer Science.

If interested, you can contact me for my full CV

PUBLICATIONS

PUBLICATIONS LIST

A full list can be found in my GoogleScholar profile.


feature-pyramidshuman-human-active Class Feature Pyramids for Video Explanation

Alexandros Stergiou, Georgios Kapidis, Grigorios Kalliatakis, Christos Chrysoulas,
Ronald Poppe, Remco Veltkamp

Intenrantional Conference on Computer Vision Workshop (ICCVW), 2019

[PDF] [code] [bibtex]

FAST_conv Spatio-Temporal FAST 3D Convolutions for Human Action Recognition

Alexandros Stergiou, Ronald Poppe

Intenrantional Conference on Machine Learning Applications (ICMLA), 2019

[PDF] [code] [bibtex]

saliency-tubeshuman-human-active Saliency Tubes: Visual Explanations for Spatio-Temporal Convolutions

Alexandros Stergiou, Georgios Kapidis, Grigorios Kalliatakis, Christos Chrysoulas,
Remco Veltkamp, Ronald Poppe

International Confernce on Image Procesing (ICIP), 2019

[PDF] [code] [bibtex]

human-human-statichuman-human-active Analyzing human-to-human interactions: a survey

Alexandros Stergiou, Ronald Poppe

Computer Vision and Image Understanding, 2019

[PDF] [code] [bibtex]

human-human-statichuman-human-active Traffic Sign Recognition based on Synthesised Training Data

Alexandros Stergiou, Grigorios Kalliatakis, Christos Chrysoulas

Big Data and Cognitive Computing, 2018

[PDF] [code] [bibtex]

conceiving_human Conceiving Human Interaction by Visualising Depth Data of Head Pose Changes and Emotion Recognition via Facial Expressions

Grigorios Kalliatakis, Alexandros Stergiou, Nikolaos Vidakis

Computers, 2017

[PDF] [code] [bibtex]

PROJECTS

MY WORK

These are some of my latest projects from courses and pet projects.


Bootstrapping for polling data from the EU referendum vote in the United Kingdom

This project presents the use of Bootstrapping (or also known as bagging), to normalise the features of the polling population in order to represent the entire population that is eligible to vote. Additionally, for representing connections between individual features during bootstrapping, a nearest neighbour method is employed in order for the newly created examples to resemble others from the general population. This technique will be applied to data from the 2016 Referendum that held the question of the remain or exit of the United Kingdom from the European Union.
[PDF] [code]

TEACHING

MODULES THAT I HAVE BEEN INVOLVED IN

Fig1 INFOMCV (2017-2018), (2018-2019) - Computer Vision

Instructor for the Deep Learning/Neural Networks lectures

PERSONAL INFO

AFFILIATIONS




© Alexandros Stergiou