Jakub Walczak

According to our database, Jakub Walczak authored at least 9 papers between 2018 and 2024.

Collaborative distances:

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

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