News

2024

🎉 I successfully defend my PhD dissertation [slides]
I serve as a Session Chair of Classification and Clustering II at IGARSS 2024
I serve as a reviewer at WACV 2025
I give a talk on Leveraging Attention in Masked Image Modeling and Pooling at 49th Pattern Recognition and Computer Vision Colloquium [slides]
🎉 Crater Detection on Embedded Systems accepted for ORAL presentation at IGARSS 2024 [paper, code, slides]
🎉 WeiCom accepted for ORAL presentation at IGARSS 2024 [paper, code, slides]
Preprint released at arXiv: Crater Detection on Embedded Systems
Preprint released at arXiv: WeiCom
I serve as a reviewer at ECCV 2024
I serve as a reviewer at IGARSS 2024

2023

I serve as a reviewer at CVPR 2024
I serve as an organizer of IEEE 13th whispers
I serve as a reviewer at WACV 2024
🎉 SimPool accepted at ICCV 2023 [paper, code, poster, demo, slides]
Preprint released at arXiv: SimPool
Internship at IARAI ends
I serve as a reviewer at Springer IJCV

2022

Internship at IARAI begins
I serve as a reviewer at NeurIPS Datasets and Benchmarks Track
🎉 OpenFilter accepted at NeurIPS 2022 [paper, code, poster, slides]
Preprint released at arXiv: OpenFilter
🎉 Attmask accepted at ECCV 2022 [paper, code, poster, slides]
I visit IARAI for one month
I serve as a reviewer at IEEE TNNLS
I write on Medium. Go through my first article: The PhD Journey
I serve as an organizer of ELLIS PhD Doctoral Symposium 2022
I got accepted at Vision and Sports Summer School 2022
Preprint released at arXiv: AttMask
🎉 Metrix accepted at ICLR 2022 [paper, code, poster, slides]
I serve as a reviewer at IEEE TPAMI

🎉 Paper accepted at IEEE GRSM: "Deep Learning for Remote Sensing Image Downscaling: Fusion and Super-Resolution" [paper]
I serve as a Teaching Assistant, supporting the "Advanced Remote Sensing" course

2021

I got accepted at ELLIS PhD Doctoral Symposium 2021
Preprint released at arXiv: Metrix
I got accepted at PAISS 2021

2020

I begin my PhD on Representation Learning. Advisors: Konstantinos Karantzalos, Yannis Avrithis,
I defend my MSc thesis on Deep Metric Learning [thesis, slides, code]
I am a Research Intern at Inria Rennes

2019

I am member of the finalist team "Exerve" at ESA Space App Camp 2019
I am a Research Associate at Athena Research Center

2018

I am member of the 3rd prize winning team "Artistas" at ESA Copernicus Hackathon
I begin my MSc in Data Science and Information Technologies
I defend my Integrated Master's thesis: "Investigation of Automatic Methods for Optical Character Recognition on Ancient Greek Epigraphic Images"

Short Bio

Dr. Bill Psomas is an early-career researcher in computer vision and machine learning. Most recently, he successfully defended his Ph.D. dissertation titled Learning Visual and Multimodal Representations at the National Technical University of Athens (NTUA). Prior to that, he received a MSc in Data Science and Information Technologies with a specialization in “Big Data and Artificial Intelligence” from the National and Kapodistrian University of Athens and a Diploma as a Rural, Surveying and Geoinformatics Engineer from NTUA.

He has completed internships at research institutes such as Inria Rennes and the Institute of Advanced Research in Artificial Intelligence (IARAI). Dr. Psomas has research experience, having served as a research assistant at the Athena Research Center and NTUA. He has contributed to 2 European, 2 Greek, and 1 international research projects, co-supervised 5 Diploma/Master theses, and published 3 theses, 2 journal articles, and 6 conference and workshop papers in his fields of expertise. Additionally, he has organized 2 workshops and symposiums, served as a session chair at 1 conference, and reviewed papers for 3 journals and 5 conferences. Dr. Psomas has also contributed to the teaching of 3 undergraduate and 1 postgraduate courses at NTUA and has delivered 2 invited talks and lectures.