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Dominik Pieczyński
Dominik Pieczyński
Poznan University of Technology, Institute of Control, Robotics and Information Engineering
Verified email at put.poznan.pl
Title
Cited by
Cited by
Year
Low-cost thermal camera-based counting occupancy meter facilitating energy saving in smart buildings
M Kraft, P Aszkowski, D Pieczyński, M Fularz
Energies 14 (15), 4542, 2021
182021
Efficient people counting in thermal images: the benchmark of resource-constrained hardware
M Piechocki, M Kraft, T Pajchrowski, P Aszkowski, D Pieczynski
IEEE Access 10, 124835-124847, 2022
82022
On-board crowd counting and density estimation using low altitude unmanned aerial vehicles—looking beyond beating the benchmark
B Ptak, D Pieczyński, M Piechocki, M Kraft
Remote Sensing 14 (10), 2288, 2022
72022
The performance comparison of the DMA subsystem of the Zynq SoC in bare metal and Linux applications
M Fularz, D Pieczyński, M Kraft
Measurement Automation Monitoring 63 (5), 189-191, 2017
42017
Overcoming Data Scarcity for Coronary Vessel Segmentation Through Self-supervised Pre-training
M Kraft, D Pieczyński, KK Siemionow
Neural Information Processing: 28th International Conference, ICONIP 2021 …, 2021
32021
Inteneural at Aneurysm Detection And segMentation Challenge
U Walińska, M Klimont, M Kraft, D Pieczyński, M Mikołajczak, M Pawlak
22020
Improving Person Re-identification by Segmentation-Based Detection Bounding Box Filtering.
D Pieczynski, M Kraft, M Fularz
J. Univers. Comput. Sci. 25 (6), 611-626, 2019
12019
Malware detection using black-box neural method
D Pieczyński, C Jędrzejek
Multimedia and Network Information Systems: Proceedings of the 11th …, 2019
12019
A fast, lightweight deep learning vision pipeline for autonomous UAV landing support with added robustness
D Pieczyński, B Ptak, M Kraft, M Piechocki, P Aszkowski
Engineering Applications of Artificial Intelligence 131, 107864, 2024
2024
LunarSim: Lunar Rover Simulator Focused on High Visual Fidelity and ROS 2 Integration for Advanced Computer Vision Algorithm Development
D Pieczyński, B Ptak, M Kraft, P Drapikowski
Applied Sciences 13 (22), 12401, 2023
2023
Integration of Heterogeneous Computational Platform-Based, Ai-Capable Planetary Rover Using ROS 2
M Kraft, K Walas, B Ptak, M Bidziński, K Stężała, D Pieczyński
IGARSS 2023-2023 IEEE International Geoscience and Remote Sensing Symposium …, 2023
2023
Deepness: Deep neural remote sensing plugin for QGIS
P Aszkowski, B Ptak, M Kraft, D Pieczyński, P Drapikowski
SoftwareX 23, 101495, 2023
2023
Method and system for predicting neurological treatment
M Kraft, P Lewicki, D Pieczynski, M Mikolajczak, MA PAWLAK, M Klimont
US Patent App. 18/094,436, 2023
2023
System and a method for determining brain age using a neural network
KB Siemionow, P Lewicki, M Kraft, M Mikolajczak, M Pawlak, D Pieczynski
US Patent 11,651,491, 2023
2023
Machine learning based systems and methods for creating personalized endovascular stents and stent grafts
K Siemionow, M Kraft, M Mikolajczak, D Pieczynski, M Pawlak, M Klimont, ...
US Patent App. 17/841,985, 2022
2022
Method and apparatus for registering a neurosurgical patient and determining brain shift during surgery using machine learning and stereooptical three-dimensional depth camera …
K Siemionow, M Kraft, M Mikolajczak, D Pieczynski, M Pawlak, M Klimont, ...
US Patent App. 17/836,091, 2022
2022
Method and system for machine learning based segmentation of contrast filled coronary artery vessels on medical images
K Siemionow, M Kraft, D Pieczynski, P Lewicki, Z Malota, W Sadowski, ...
US Patent 11,521,322, 2022
2022
Autonomous reconstruction of vessels on computed tomography images
K Siemionow, P Lewicki, M Kraft, D Pieczynski, M Mikolajczak, J Kania
US Patent App. 17/705,336, 2022
2022
Autonomous segmentation of contrast filled coronary artery vessels on computed tomography images
K Siemionow, M Kraft, D Pieczynski, P Lewicki, Z Malota, W Sadowski, ...
US Patent App. 17/714,170, 2022
2022
Autonomous segmentation of contrast filled coronary artery vessels on computed tomography images
K Siemionow, M Kraft, D Pieczynski, P Lewicki, Z Malota, W Sadowski, ...
US Patent 11,315,293, 2022
2022
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