Me

Alexandros Stergiou

Research Associate at University of Bristol
alexandros.stergiou@bristol.ac.uk

Short bio

My work is focused on Computer Vision and Machine Learning

I am currently a postdoctoral Research Associate at Bristol University's Machine Learning and Computer Vision Group (MaVi) working with prof. Dima Damen on video understanding. I obtained my PhD at Utrecht University's Department of Information and Computing Science. The topic of my thesis was on Machine Learning and Computer Vision for human action and interaction recognition in everyday social settings, supervised by dr. Ronald Poppe and prof. Remco C. Veltkamp. During my time in Utrecht I have also worked on improving the efficiency and explainabilty of spatio-temporal deep learning models, for scene understanding and classification of videos. I have completed my Masters and Bachelor degrees in (Advanced) Computer Science at the University of Essex. I have also worked shortly at the Institute for Analytics and Data Science (IADS) for a summer project on Neural Networks for structured population data with dr. Spyros Samothrakis.




PUBLICATIONS

PUBLICATIONS LIST

A full list can be found in 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

ACCADEMIC APPOINTMENTS

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August 2021 - now
Postdoctoral Research Associate at University of Bristol, Bristol, UK

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: prof. Remco C. Veltkamp, Co-Supervisor: dr. Ronald Poppe
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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. Adian Clark
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September 2013 - September 2016
BSc student in Computer Science at University of Essex, Colchester, UK




SERVICES

TEACHING

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

REVIEW

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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

© Alexandros Stergiou