Clustering Quality Measures for Point Cloud Segmentation Tasks. - Jakub Walczak; Adam Wojciechowski (ICCVG, 2018)

Effective Planar Cluster Detection in Point Clouds Using Histogram-Driven Kd-Like Partition and Shifted Mahalanobis Distance Based Regression. - Jakub Walczak; Tadeusz Poreda; Adam Wojciechowski (Remote. Sens., 2019)

Normal Grouping Density Separation (NGDS): A Novel Object-Driven Indoor Point Cloud Partition Method. - Jakub Walczak; Grzegorz Andrzejczak; Rafal Scherer; Adam Wojciechowski (ICCS (6), 2020)

Vicinity-Based Abstraction: VA-DGCNN Architecture for Noisy 3D Indoor Object Classification. - Jakub Walczak; Adam Wojciechowski; Patryk Najgebauer; Rafal Scherer (ICCS (3), 2021)

CVA-GNN: Convolutional Vicinity Aggregation Graph Neural Network for Point Cloud Classification. - Jakub Walczak; Patryk Najgebauer; Rafal Scherer; Adam Wojciechowski (IJCNN, 2021)

Fast Visual Imperfection Detection when Real Negative Examples are Unavailable. - Patryk Najgebauer; Rafal Scherer; Rafal Grycuk; Jakub Walczak; Adam Wojciechowski; Ewa Lada-Tondyra (ICAISC (2), 2023)

Ultrasmall fully-convolution GVA-net for point cloud processing. - Jakub Walczak; Patryk Najgebauer; Adam Wojciechowski; Rafal Scherer (Appl. Soft Comput., 2023)

InLUT3D: Challenging real indoor dataset for point cloud analysis. - Jakub Walczak (CoRR, 2024)

Kit4DL: Towards fast prototyping and experimentation in machine learning and deep learning. - Jakub Walczak; Marco Mancini; Shahbaz Alvi (SoftwareX, 2024)

Climatrix: Xarray accessor for climate data sampling and reconstruction. - Jakub Walczak; Wojciech Zyndul (SoftwareX, 2025)

Impact of Code Context and Prompting Strategies on Automated Unit Test Generation with Modern General-Purpose Large Language Models. - Jakub Walczak; Piotr Tomalak; Artur Laskowski (CoRR, 2025)