Matwij, K.[Karolina]
* 2020: UAV Applications for Determination of Land Deformations Caused by Underground Mining
Matwij, W.[Wojciech]
* 2017: Comparison of low-altitude UAV photogrammetry with terrestrial laser scanning as data-source methods for terrain covered in low vegetation
* 2019: Application of convolutional neural networks for low vegetation filtering from data acquired by UAVs
* 2020: UAV Applications for Determination of Land Deformations Caused by Underground Mining
* 2021: Application of UAV-based orthomosaics for determination of horizontal displacement caused by underground mining
* 2022: Correction of Low Vegetation Impact on UAV-Derived Point Cloud Heights With U-Net Networks
* 2024: Selection of an Algorithm for Assessing the Verticality of Complex Slender Objects Using Semi-Automatic Point Cloud Analysis
* 2025: Determining Vertical Displacement of Agricultural Areas Using UAV-Photogrammetry and a Heteroscedastic Deep Learning Model
7 for Matwij, W.
Matwin, S.
* 1990: LEW: learning by watching
* 2009: Image Analysis and Machine Learning: How to Foster a Stronger Connection?
* 2016: Fusing Iris, Palmprint and Fingerprint in a Multi-biometric Recognition System
* 2017: Manifold Learning of Overcomplete Feature Spaces in a Multimodal Biometric Recognition System of Iris and Palmprint
* 2021: Trajectory Scoring Tool for Local Anomaly Detection in Maritime Traffic Using Visual Analytics, A
* 2022: AdaBest: Minimizing Client Drift in Federated Learning via Adaptive Bias Estimation
* 2022: Pay Attention to Evolution: Time Series Forecasting With Deep Graph-Evolution Learning
Includes: Matwin, S. Matwin, S.[Stan]
7 for Matwin, S.