Bartosz Wójcik, MSc Email: Position: research assisstant Horizontal TabsPublications Biblio RSS 2023 1. Wójcik, B., M. Żarski, K. Książek, J. Miszczak, and M. J. Skibniewski, "A deep learning method for hard-hat-wearing detection based on head center localization", Bulletin of the Polish Academy of Sciences Technical Sciences, vol. 71 (EA), issue 6, 10/2023. 2022 2. Żarski, M., B. Wójcik, J. Miszczak, B. Blachowski, and M. Ostrowski, "Computer Vision Based Inspection on Post-Earthquake With UAV Synthetic Dataset", IEEE Access, vol. 10, 10/2022. 3. Blachowski, B., M. Ostrowski, M. Żarski, B. Wójcik, P. Tauzowski, and L. Jankowski, "An Efficient Computer Vision-Based Method for Estimation of Dynamic Displacements in Spatial Truss Structures", Workshop on Structural Health Monitoring: Springer Link, 06/2022. 2021 4. Żarski, M., B. Wójcik, K. Książek, and J. Miszczak, "Finicky transfer learning—A method of pruning convolutional neural networks for cracks classification on edge devices", Computer-Aided Civil And Infrastructure Engineering, vol. 37, issue 4, 03/2022, 2021. 5. Wójcik, B., and M. Żarski, "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, vol. 69, issue 3, 6/2021. 6. Żarski, M., B. Wójcik, and J. Miszczak, "KrakN: Transfer Learning framework and dataset for infrastructure thin crack detection", SoftwareX, vol. 16, 12/2021. 7. Żarski, M., B. Wójcik, K. Książek, M. Salamak, and J. Miszczak, "Advances in applicable deep-learning based defect detection", 2nd Workshop on Engineering Optimization – WEO 2021, Warsaw, Institute of Fundamental Technological Research of the Polish Academy of Sciences, 2021. (377.77 KB) 8. Wójcik, B., M. Żarski, M. Salamak, and J. Miszczak, "Extracting crack characteristics from RGB-D images", 2nd Workshop on Engineering Optimization – WEO 2021, Warsaw, Institute of Fundamental Technological Research of the Polish Academy of Sciences, 2021. (283.77 KB)
