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Mateusz Żarski
Mateusz Żarski
PhD, Institute of Theoretical and Applied Informatics, Polish Academy of Sciences
Verified email at iitis.pl - Homepage
Title
Cited by
Cited by
Year
Finicky transfer learning—A method of pruning convolutional neural networks for cracks classification on edge devices
M Żarski, B Wójcik, K Książek, JA Miszczak
Computer‐Aided Civil and Infrastructure Engineering 37 (4), 500-515, 2022
322022
Analytical modelling in Dynamo
M Salamak, M Jasinski, T Plaszczyk, M Zarski
Vysoká škola báňská-Technická univerzita Ostrava, 2018
202018
The measurements of surface defect area with an RGB-D camera for a BIM-backed bridge inspection
B Wójcik, M Żarski
Bulletin of the Polish Academy of Sciences. Technical Sciences 69 (3), 2021
102021
Computer Vision based inspection on post-earthquake with UAV synthetic dataset
M Żarski, B Wójcik, JA Miszczak, B Blachowski, M Ostrowski
IEEE Access 10, 108134-108144, 2022
92022
Hard hat wearing detection based on head keypoint localization
B Wójcik, M Żarski, K Książek, JA Miszczak, MJ Skibniewski
arXiv preprint arXiv:2106.10944, 2021
82021
KrakN: Transfer Learning framework for thin crack detection in infrastructure maintenance
M Żarski, B Wójcik, JA Miszczak
arXiv preprint arXiv:2004.12337, 2020
7*2020
Asesment of state-of-the-art methods for bridge inspection: case study
B Wójcik, M Żarski
Archives of Civil Engineering 66 (4), 2020
72020
Integrated lifecycle analysis of a concrete bridge
M Żarski, T Płaszczyk, M Salamak
Proceedings of the 12th Central European Congress on Concrete Engineering …, 2017
62017
KrakN: Transfer Learning framework and dataset for infrastructure thin crack detection
M Żarski, B Wójcik, JA Miszczak
SoftwareX 16, 100893, 2021
52021
„Wybrane aspekty tworzenia modeli BIM obiektów mostowych”
J Marcin, T Płaszczyk, B Wójcik, M Żarski, K Korus, M Salamak
Mosty (6) 38, 44, 2018
3*2018
Innovative materials and technologies for concrete stuctures
GL Balázs, K Koris, K Kopecsko, M Salamak, A Zybura, T Krykowski, ...
Betontag, 2008
32008
A framework for computer vision-based health monitoring of a truss structure subjected to unknown excitations
M Ostrowski, B Blachowski, B Wójcik, M Żarski, P Tauzowski, Ł Jankowski
Earthquake Engineering and Engineering Vibration 22 (1), 1-17, 2023
22023
An Efficient Computer Vision-Based Method for Estimation of Dynamic Displacements in Spatial Truss Structures
B Blachowski, M Ostrowski, M Zarski, B Wojcik, P Tauzowski, L Jankowski
European Workshop on Structural Health Monitoring, 474-484, 2022
22022
Extracting crack characteristics from RGB-D images
B Wójcik, M Żarski, M Salamak, JA Miszczak
Book of Abstracts, 29, 2021
12021
Generowanie modeli analitycznych z użyciem programowania graficznego Dynamo
M Jasiński, T Płaszczyk, B Wójcik, M Żarski, M Salamak
Mosty, 2018
12018
Artificial and Computational Intelligence
M ZHANG, C XU, D XU, G MA, H HAN, X ZONG, M BUKOWSKI, ...
Bulletin of the Polish Academy of Sciences Technical Sciences (BPASTS) 71 (6), 2023
2023
The Effectiveness of World Models for Continual Reinforcement Learning
S Kessler, M Ostaszewski, MP Bortkiewicz, M Żarski, M Wolczyk, ...
Conference on Lifelong Learning Agents, 184-204, 2023
2023
A deep learning method for hard-hat-wearing detection based on head center localization
B Wójcik, M Żarski, K Książek, JA Miszczak, MJ Skibniewski
Bulletin of the Polish Academy of Sciences. Technical Sciences 71 (6), 2023
2023
COMPUTER VISION-BASED INSPECTIONS OF CIVIL INFRASTRUCTURE
P TAUZOWSKI, P JAROSIK, M ŻARSKI, B WÓJCIK, M OSTROWSKI, ...
2022
Advances in applicable deep-learning based defect detection
M Żarski, B Wójcik, K Książek, M Salamak, JA Miszczak
Book of Abstracts, 25, 2021
2021
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Articles 1–20