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Marcin Skoczylas
Marcin Skoczylas
Ph.D. of Computer Science, Bialystok University of Technology
Verified email at pb.edu.pl
Title
Cited by
Cited by
Year
Faster R-CNN: an approach to real-time object detection
R Gavrilescu, C Zet, C Foșalău, M Skoczylas, D Cotovanu
2018 International Conference and Exposition on Electrical And Power …, 2018
832018
Vision analysis system for autonomous landing of micro drone
M Skoczylas
acta mechanica et automatica 8 (4), 199-203, 2014
262014
Recognition of multiple traffic signs using keypoints feature detectors
M Lasota, M Skoczylas
2016 International conference and exposition on electrical and power …, 2016
172016
Two SPRi biosensors for the determination of cathepsin S in blood plasma
L Oldak, A Sankiewicz, B Żelazowska-Rutkowska, B Cylwik, ...
Talanta 225, 121900, 2021
112021
Detection of traffic signs based on Support Vector Machine classification using HOG features
D Coţovanu, C Zet, C Foşalău, M Skoczylas
2018 International Conference and Exposition on Electrical And Power …, 2018
82018
A system for irradiating polymer films with a preset number of ions
C Zet, H Kiesewetter, M Skoczylas, L Westerberg, R Spohr
GSI Scientific Report, 154-154, 2003
82003
Unstained viable cell recognition in phase-contrast microscopy
M Skoczylas, W Rakowski, R Cherubini, S Gerardi
Opto-Electronics Review 19, 307-319, 2011
62011
Autonomic drone landing system based on LEDs pattern and visual markers recognition
M Skoczylas, Ł Gadomer, W Walendziuk, M Słowik
Photonics Applications in Astronomy, Communications, Industry, and High …, 2018
52018
Two Biosensors for the Determination of VEGF-R2 in Plasma by Array SPRi
L Oldak, B Zelazowska-Rutkowska, A Lesniewska, P Mrozek, ...
Molecules 28 (1), 155, 2022
42022
Multiple camera based real-time locating system for unmanned air vehicle
M Skoczylas, W Walendziuk
2018 International Conference and Exposition on Electrical And Power …, 2018
42018
Multirotor micro air vehicle autonomous landing system based on image markers recognition
M Skoczylas, L Gadomer, W Walendziuk
Photonics Applications in Astronomy, Communications, Industry, and High …, 2017
42017
Detection of positions and recognition of brand logos visible on images captured using mobile devices
M Skoczylas
2014 International Conference and Exposition on Electrical and Power …, 2014
42014
Real time gesture recognition in 3d space using selected classifiers
Ł Gadomer, M Skoczylas
Architecturae et Artibus 6 (1), 14-18, 2014
22014
Automatic recognition of multiple brands in images on mobile devices
M Skoczylas
Advances in Computer Science Research, 81--97, 2013
22013
Automatic detection of unstained viable cells in phase-contrast microscope images
M Skoczylas, R Cherubini, S Gerardi
Zeszyty Naukowe Politechniki Białostockiej. Informatyka, 127-137, 2009
22009
Further development of the INFN-LNL automated unstained cell recognition system for single-cell irradiations
M Skoczylas, R Cherubini, S Gerardi
INFN-LNL Annual Report 2007, 59-60, 2008
22008
The use of strain gauge platform and virtual reality tool for patient stability examination
W Walendziuk, L Wysk, M Skoczylas
Photonics Applications in Astronomy, Communications, Industry, and High …, 2016
12016
Wavelet-SVM classification and automatic recognition of unstained viable cells in phase-contrast microscopy
M Skoczylas, W Rakowski, R Cherubini, S Gerardi
Radiation protection dosimetry 143 (2-4), 353-357, 2011
12011
Automatic unstained cells recognition for single-cells irradiations
M Skoczylas, R Cherubini, S Gerardi
LNL Annual Report 2006, 61, 2007
12007
Gesture Recognition in 3D Space Using Dimensionally Reduced Set of Features
Ł Gadomer, M Skoczylas
Computer Information Systems and Industrial Management: 16th IFIP TC8 …, 2017
2017
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Articles 1–20