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Journal Articles
- 2024
[j3]Jakub Walczak
, Marco Mancini, Shahbaz Alvi:
Kit4DL: Towards fast prototyping and experimentation in machine learning and deep learning. SoftwareX 26: 101707 (2024)- 2023
- [j2]Jakub Walczak, Patryk Najgebauer, Adam Wojciechowski, Rafal Scherer:
Ultrasmall fully-convolution GVA-net for point cloud processing. Appl. Soft Comput. 132: 109837 (2023) - 2019
- [j1]Jakub Walczak, Tadeusz Poreda, Adam Wojciechowski:
Effective Planar Cluster Detection in Point Clouds Using Histogram-Driven Kd-Like Partition and Shifted Mahalanobis Distance Based Regression. Remote. Sens. 11(21): 2465 (2019)
Conference and Workshop Papers
- 2023
- [c5]Patryk Najgebauer, Rafal Scherer, Rafal Grycuk, Jakub Walczak, Adam Wojciechowski, Ewa Lada-Tondyra:
Fast Visual Imperfection Detection when Real Negative Examples are Unavailable. ICAISC (2) 2023: 58-68 - 2021
- [c4]Jakub Walczak, Adam Wojciechowski, Patryk Najgebauer, Rafal Scherer:
Vicinity-Based Abstraction: VA-DGCNN Architecture for Noisy 3D Indoor Object Classification. ICCS (3) 2021: 229-241 - [c3]Jakub Walczak, Patryk Najgebauer, Rafal Scherer, Adam Wojciechowski:
CVA-GNN: Convolutional Vicinity Aggregation Graph Neural Network for Point Cloud Classification. IJCNN 2021: 1-8 - 2020
- [c2]Jakub Walczak, Grzegorz Andrzejczak, Rafal Scherer, Adam Wojciechowski:
Normal Grouping Density Separation (NGDS): A Novel Object-Driven Indoor Point Cloud Partition Method. ICCS (6) 2020: 100-114 - 2018
- [c1]Jakub Walczak, Adam Wojciechowski:
Clustering Quality Measures for Point Cloud Segmentation Tasks. ICCVG 2018: 173-186
Informal and Other Publications
- 2024
- [i1]Jakub Walczak:
InLUT3D: Challenging real indoor dataset for point cloud analysis. CoRR abs/2408.03338 (2024)
Coauthor Index
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