PUBLICATIONS
Research at the intersection of computer vision, machine learning, and multimodal understanding. My work explores how machines can learn to see, understand, and reason about the visual world.
MATTE: Multi-Task Multi-Scale Attention
G. Strezoski, N. van Noord, M. Worring
Computer Vision and Image Understanding, 2023
Many Task Learning with Task Routing
G. Strezoski, N. van Noord, M. Worring
IEEE International Conference on Computer Vision (ICCV), 2019
Omniart: A Large-Scale Artistic Benchmark
G. Strezoski, M. Worring
ACM Transactions on Multimedia Computing, Communications, and Applications, 2018
Omniart: Multi-Task Deep Learning for Artistic Data Analysis
G. Strezoski, M. Worring
arXiv preprint, 2017
Twitter Sentiment Analysis Using Deep Convolutional Neural Network
D. Stojanovski, G. Strezoski, G. Madjarov, I. Dimitrovski
International Conference on Hybrid Artificial Intelligence Systems (HAIS), 2015
Deep Neural Network Architecture for Sentiment Analysis and Emotion Identification of Twitter Messages
D. Stojanovski, G. Strezoski, G. Madjarov, I. Dimitrovski, I. Chorbev
Multimedia Tools and Applications, 2018
Hand Gesture Recognition Using Deep Convolutional Neural Networks
G. Strezoski, D. Stojanovski, I. Dimitrovski, G. Madjarov
ICT Innovations, 2016
FINKI at SemEval-2016 Task 4: Deep Learning Architecture for Twitter Sentiment Analysis
D. Stojanovski, G. Strezoski, G. Madjarov, I. Dimitrovski
Proceedings of the 10th International Workshop on Semantic Evaluation (SemEval), 2016
Learning Task Relatedness in Multi-Task Learning for Images in Context
G. Strezoski, N. van Noord, M. Worring
ACM International Conference on Multimedia Retrieval (ICMR), 2019
Multimodal Medical Image Retrieval System
I. Kitanovski, G. Strezoski, I. Dimitrovski, G. Madjarov, S. Loskovska
Multimedia Tools and Applications, 2017
Emotion Identification in FIFA World Cup Tweets Using Convolutional Neural Network
D. Stojanovski, G. Strezoski, G. Madjarov, I. Dimitrovski
International Conference on Innovations in Information Technology (IIT), 2015
Plug-and-Play Interactive Deep Network Visualization
G. Strezoski, M. Worring
Visual Analytics for Deep Learning @ VAST, 2017
Linked Open Data for Medical Institutions and Drug Availability Lists in Macedonia
M. Jovanovik, B. Najdenov, G. Strezoski, D. Trajanov
New Trends in Database and Information Systems II, 2015
TindART: A Personal Visual Arts Recommender
G. Strezoski, L. Fijen, J. Mitnik, D. László, P.M. Oyens, Y. Schirris, M. Worring
ACM International Conference on Multimedia, 2020
ArtSight: An Artistic Data Exploration Engine
G. Strezoski, I. Groenen, J. Besenbruch, M. Worring
ACM International Conference on Multimedia, 2018
ACE: Art, Color and Emotion
G. Strezoski, A. Shome, R. Bianchi, S. Rao, M. Worring
ACM International Conference on Multimedia, 2019