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2020 – today
- 2024
[j4]Jan Gasienica-Józkowy, Boguslaw Cyganek
, Mateusz Knapik, Szymon Glogowski, Lukasz Przebinda:
Deep Learning-Based Monocular Estimation of Distance and Height for Edge Devices. Inf. 15(8): 474 (2024)- 2023
- [c5]Tomasz Balon, Mateusz Knapik, Boguslaw Cyganek:
Real-Time Detection of Small Objects in Automotive Thermal Images with Modern Deep Neural Architectures. FedCSIS (Communication Papers) 2023: 29-35 - [c4]Jan Gasienica-Józkowy, Boguslaw Cyganek, Mateusz Knapik, Szymon Glogowski, Lukasz Przebinda:
Estimation of absolute distance and height of people based on monocular view and deep neural networks for edge devices operating in the visible and thermal spectra. FedCSIS 2023: 503-511 - 2022
- [c3]Tomasz Balon, Mateusz Knapik, Boguslaw Cyganek:
New Thermal Automotive Dataset for Object Detection. FedCSIS (Position Papers) 2022: 43-48 - 2021
- [j3]Jan Gasienica-Józkowy, Mateusz Knapik, Boguslaw Cyganek:
An ensemble deep learning method with optimized weights for drone-based water rescue and surveillance. Integr. Comput. Aided Eng. 28(3): 221-235 (2021) - [j2]Mateusz Knapik, Boguslaw Cyganek:
Fast eyes detection in thermal images. Multim. Tools Appl. 80(3): 3601-3621 (2021)
2010 – 2019
- 2019
- [j1]Mateusz Knapik, Boguslaw Cyganek:
Driver's fatigue recognition based on yawn detection in thermal images. Neurocomputing 338: 274-292 (2019) - [c2]Mateusz Knapik, Boguslaw Cyganek:
Evaluation of Deep Learning Strategies for Underwater Object Search. SA 2019: 1-6 - [c1]Mateusz Knapik, Boguslaw Cyganek:
Comparison of Sparse Image Descriptors for Eyes Detection in Thermal Images. VISIGRAPP (5: VISAPP) 2019: 638-644
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