Jakub Walczak

According to our database, Jakub Walczak authored at least 14 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

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

J. Syst. Softw., 2026

2025

Performance and Efficiency of Climate In-Situ Data Reconstruction: Why Optimized IDW Outperforms kriging and Implicit Neural Representation.

Jakub Walczak

CoRR, December, 2025

Climatrix: Xarray accessor for climate data sampling and reconstruction.

Jakub Walczak, Wojciech Zyndul

SoftwareX, 2025

Interactive Semi-Automatic Labeling of Point Clouds Using Transformer-Based Descriptors.

Patryk Najgebauer, Rafal Scherer, Jakub Walczak, Adam Wojciechowski

Proceedings of the Empowering the Interdisciplinary Role of ISD in Addressing Contemporary Issues in Digital Transformation, 2025

Comparison of the Effectiveness of Optical Flow Methods in Determining the Velocity of a UAV.

Jakub Walczak, Janusz Furtak

Proceedings of the Artificial Intelligence and Soft Computing, 2025

2024

Kit4DL: Towards fast prototyping and experimentation in machine learning and deep learning.

Jakub Walczak, Marco Mancini, Shahbaz Alvi

SoftwareX, 2024

InLUT3D: Challenging real indoor dataset for point cloud analysis.

Jakub Walczak

CoRR, 2024

2023

Ultrasmall fully-convolution GVA-net for point cloud processing.

Jakub Walczak, Patryk Najgebauer, Adam Wojciechowski, Rafal Scherer

Appl. Soft Comput., 2023

Fast Visual Imperfection Detection when Real Negative Examples are Unavailable.

Patryk Najgebauer, Rafal Scherer, Rafal Grycuk, Jakub Walczak, Adam Wojciechowski, Ewa Lada-Tondyra

Proceedings of the Artificial Intelligence and Soft Computing, 2023

2021

CVA-GNN: Convolutional Vicinity Aggregation Graph Neural Network for Point Cloud Classification.

Jakub Walczak, Patryk Najgebauer, Rafal Scherer, Adam Wojciechowski

Proceedings of the International Joint Conference on Neural Networks, 2021

Vicinity-Based Abstraction: VA-DGCNN Architecture for Noisy 3D Indoor Object Classification.

Jakub Walczak, Adam Wojciechowski, Patryk Najgebauer, Rafal Scherer

Proceedings of the Computational Science - ICCS 2021, 2021

2020

Normal Grouping Density Separation (NGDS): A Novel Object-Driven Indoor Point Cloud Partition Method.

Jakub Walczak, Grzegorz Andrzejczak, Rafal Scherer, Adam Wojciechowski

Proceedings of the Computational Science - ICCS 2020, 2020

2019

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

2018

Clustering Quality Measures for Point Cloud Segmentation Tasks.

Jakub Walczak, Adam Wojciechowski

Proceedings of the Computer Vision and Graphics - International Conference, 2018