Matej Ulicny

Post-Doctoral Researcher

Status: Former Member

Matej Ulicny is a Post-Doctoral Researcher working on the AIMapIT Project at the ADAPT Centre. He has received the M.Sc. degree in computer science from Halmstad University, Sweden in 2015. Following year he worked as a Research Engineer at the Center for Applied Intelligent Systems Research, Halmstad University, Sweden. He pursued the Ph.D. degree at the School of Computer Science and Statistics, Trinity College Dublin, Ireland in years 2016 to 2020. His research interests are pattern recognition and machine learning.

Research Domains

Artificial Intelligence
Deep Learning
Image and Video processing
Machine Learning

Publications

Harmonic convolutional networks based on discrete cosine transform

PUBLICATION:	ScienceDirect
AUTHOR(S):	Matej Ulicny, Vladimir A. Krylov, Rozenn Dahyot
DATE:	11 April 2022
TYPE:	Journal Articles

Tensor Reordering for CNN Compression

PUBLICATION:	ICASSP 2021 - IEEE International Conference on Acoustics, Speech and Signal Processing
AUTHOR(S):	Matej Ulicny, Vladimir Krylov, Rozenn Dahyot
DATE:	06 June 2021
TYPE:	Conf papers

Harmonic Networks with Limited Training Samples

PUBLICATION:	EUSIPCO 2019 - 27th European Signal Processing Conference
AUTHOR(S):	Matej Ulicny, Vladimir Krylov, Rozenn Dahyot
DATE:	02 September 2019
TYPE:	Conf papers

On Using CNN with Compressed (DCT Based) Image Data

PUBLICATION:	IMVIP 2017 - 19th Irish Machine Vision and Image Processing conference
AUTHOR(S):	Matej Ulicny, Rozenn Dahyot
DATE:	30 August 2017
TYPE:	Conf papers