Me

Alexandros Stergiou

Postdoc Researcher at Vrije Universiteit Brussel
alexandros.stergiou@vub.be

Short bio

My main research focus is on Computer Vision and Machine Learning

I am a Postdoc Researcher at Vrije Universiteit Brussel (VUB) working with prof. Nikos Deligiannis on explainability methods for video models. I was previously a Research Associate at the University of Bristol working with prof. Dima Damen on video understanding. I obtained my PhD from Utrecht University's Department of Information and Computing Science where I was lucky to be supervised by dr. Ronald Poppe and prof. Remco C. Veltkamp. The topic of my thesis was based on Machine Learning and Computer Vision for human action and interaction recognition in everyday social settings. During my time in Utrecht, I also worked on improving the efficiency and explainability of spatio-temporal deep learning models, for scene understanding and classification of videos. I have completed my Master's and Bachelor's degrees in (Advanced) Computer Science at the University of Essex.




PUBLICATIONS

PUBLICATIONS LIST

A full list can be found at my GoogleScholar profile.


ARXIV PREPRINTS

mindseye mindseye-active

Stergiou A., and Damen D., Temporal Progressive Attention for Early Action Prediction, arXiv, 2022

mindseye mindseye-active

Stergiou A., and Poppe R., AdaPool: Exponential Adaptive Pooling for Information-Retaining Downsampling, arXiv, 2021

CONFERENCE PAPERS

mindseye mindseye-active

Stergiou A., Poppe R., and Kalliatakis G., Refining activation downsampling with SoftPool, International Conference on Computer Vision (ICCV), 2021

mindseye mindseye-active

Stergiou A., The Mind's Eye: Visualizing Class Agnostic Features of CNNs, International Confernce on Image Procesing (ICIP), 2021

mtconv mtconv_active

Stergiou A., and Poppe R., Multi-Temporal Convolutions for Human ActionRecognition in Videos, International Joint Conference of Neural Networks (IJCNN), 2021

feature-pyramids human-human-active

Stergiou A., Kapidis G., Kalliatakis G., Chrysoulas C., Poppe R., and Veltkamp R.C., Class Feature Pyramids for Video Explanation Intenrantional Conference on Computer Vision Workshop (ICCVW), 2019

FAST_conv

Stergiou A., and Poppe R., Spatio-Temporal FAST 3D Convolutions for Human Action Recognition, Intenrantional Conference on Machine Learning Applications (ICMLA), 2019

saliency-tubes human-human-active

Stergiou A., Kapidis G., Kalliatakis G., Chrysoulas C., Veltkamp R.C., and Poppe R., Saliency Tubes: Visual Explanations for Spatio-Temporal Convolutions, International Confernce on Image Procesing (ICIP), 2019

JOURNAL PAPERS

learn2cycle srtg-active

Stergiou A., and Poppe R., Learn to cycle: Time-consistent feature discovery for action recognition, Pattern Recognition Letters, 2021

class-reg human-human-active

Stergiou A., Poppe R., and Veltkamp R.C., Learning Class-Specific Features with Class Regularization for Videos, Applied Sciences, 2020

h2h_survey

Stergiou A., and Poppe R., Analyzing human-to-human interactions: a survey, Computer Vision and Image Understanding, 2019

DATASETS

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Inter4K



THESIS

thesis-static thesis-active

Stergiou A.G., Efficient Modelling Across Time of Human Actions and Interactions, Utrecht University 2021

EXPERIENCE

ACADEMIC APPOINTMENTS

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October 2022 - now
Postdoctoral Researcher at Vrije Universiteit Brussel, Brussels, BE
PI: prof. Nikos Deligiannis

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August 2021 - September 2022
Research Associate at University of Bristol, Bristol, UK
PI: prof. Dima Damen

EDUCATION

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September 2017 - September 2021
PhD student at Utrecht University, Utrecht, NL
Thesis title: Efficient Modelling Across Time of Human Actions and Interactions
Supervisor: dr. Ronald Poppe and prof. Remco C. Veltkamp
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September 2016 - September 2017
MSc student in Advanced Computer Science at University of Essex, Colchester, UK
Dissertation title: The Driver's Assistant: Utilising Synthetic Data Generation and Deep Learning for Traffic Sign Classification
Supervisor: dr. Adrian Clark
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September 2013 - September 2016
BSc student in Computer Science at University of Essex, Colchester, UK




ACTIVITIES

TEACHING

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Lecturer for INFOMCV (Masters course) Spring 2018, 2019 & 2020
Lecturer and Instructor for the Deep Learning/Neural Networks lectures

REVIEWING

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Reviewer for CVF conferences: CVPR2022, ECCV2022
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Reviewer for Elsevier journals: Pattern Recognition
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Reviewer for Springer Nature journals: IJCV
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Reviewer for IEEE journals: TPAMI, TIP

© Alexandros Stergiou and Deborah Dike