Mateusz Żarski

2026

• Filus K.; Żarski M.; Inspecting Training Dynamics of Similarity Development in Supervised Vision Networks ; In Press: European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases; 2026
• Zawadzka A.; Żarski M.; Drejer K.; Głomb P.; Romaszewski M.; Cholewa M.; Map-Guided Cross-Training for Building Detection; Geoscience and Remote Sensing Letters; 2026
• Żarski M.; Nowaczyk S.; Neuroplasticity-inspired dynamic ANNs for multi-task demand forecasting; IEEE Access; 2026

2025

• Zawadzka A.; Głomb P.; Żarski M.; Development of an effective method for detecting small buildings in satellite images; PP-RAI 2025; 2025
• Żarski M.; Nowaczyk S.; Balancing Performance and Scalability of Demand Forecasting ML Models; Intelligent Data Analysis XXIII [IDA]; 2025
• Pojda D.; Żarski M.; Tomaka A.; Luchowski L.; dpVision: environment for multimodal images; SoftwareX; 2025

2024

• Żarski M.; Miszczak J.; Multi-Step Feature Fusion for Natural Disaster Damage Assessment on Satellite Images; IEEE Access; 2024

2023

• Ostrowski M.; Blachowski B.; Wójcik B.; Żarski M.; Tauzowski P.; Jankowski Ł.; A framework for computer vision-based health monitoring of a truss structure subjected to unknown excitations; Earthquake Engineering and Engineering Vibration; 2023
• Kessler S.; Ostaszewski M.; Bortkiewicz M.; Żarski M.; Wołczyk M.; Parker-Holder J.; Roberts S.; Miłoś P.; The Effectiveness of World Models for Continual Reinforcement Learning; Conference on Lifelong Learning Agents; 2023
• Wójcik B.; Żarski M.; Książek K.; Miszczak J.; Skibniewski M.; A deep learning method for hard-hat-wearing detection based on head center localization; Bulletin of the Polish Academy of Sciences Technical Sciences; 2023

2022

• Blachowski B.; Ostrowski M.; Żarski M.; Wójcik B.; Tauzowski P.; Jankowski L.; An Efficient Computer Vision-Based Method for Estimation of Dynamic Displacements in Spatial Truss Structures; Workshop on Structural Health Monitoring; 2022
• Żarski M.; Wójcik B.; Miszczak J.; Blachowski B.; Ostrowski M.; Computer Vision Based Inspection on Post-Earthquake With UAV Synthetic Dataset; IEEE Access; 2022

2021

• Wójcik B.; Żarski M.; Salamak M.; Miszczak J.; Extracting crack characteristics from RGB-D images; 2nd Workshop on Engineering Optimization – WEO 2021; 2021
• Żarski M.; Wójcik B.; Książek K.; Salamak M.; Miszczak J.; Advances in applicable deep-learning based defect detection; 2nd Workshop on Engineering Optimization – WEO 2021; 2021
• Żarski M.; Wójcik B.; Miszczak J.; KrakN: Transfer Learning framework and dataset for infrastructure thin crack detection; SoftwareX; 2021
• Wójcik B.; Żarski M.; The measurements of surface defect area with an RGB-D camera for a BIM-backed bridge inspection; Bulletin of the Polish Academy of Sciences: Technical Sciences; 2021
• Żarski M.; Wójcik B.; Książek K.; Miszczak J.; Finicky transfer learning—A method of pruning convolutional neural networks for cracks classification on edge devices; Computer-Aided Civil And Infrastructure Engineering; 2021

• Filus K.; Żarski M.; Beyond Accuracy: Uncovering the Role of Similarity Perception and its Alignment with Semantics in Supervised Learning; Submitted: arXiv preprint
• Filus K.; Romaszewski M.; Żarski M.; Semantic Depth Matters: Explaining Errors of Deep Vision Networks through Perceived Class Similarities; Submitted: arXiv preprint