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2020 – today
- 2021
[c11]Michal Uricár, Ganesh Sistu, Hazem Rashed, Antonín Vobecký, Varun Ravi Kumar, Pavel Krízek, Fabian Bürger, Senthil Kumar Yogamani:
Let's Get Dirty: GAN Based Data Augmentation for Camera Lens Soiling Detection in Autonomous Driving. WACV 2021: 766-775- 2020
- [c10]Arindam Das, Pavel Krízek, Ganesh Sistu, Fabian Bürger, Sankaralingam Madasamy, Michal Uricár, Varun Ravi Kumar, Senthil Kumar Yogamani:
TiledSoilingNet: Tile-level Soiling Detection on Automotive Surround-view Cameras Using Coverage Metric. ITSC 2020: 1-6 - [i7]Arindam Das, Pavel Krízek, Ganesh Sistu, Fabian Bürger, Sankaralingam Madasamy, Michal Uricár, Varun Ravi Kumar, Senthil Kumar Yogamani:
TiledSoilingNet: Tile-level Soiling Detection on Automotive Surround-view Cameras Using Coverage Metric. CoRR abs/2007.00801 (2020)
2010 – 2019
- 2019
- [c9]Michal Uricár
, Pavel Krízek, David Hurych, Ibrahim Sobh, Senthil Kumar Yogamani, Patrick Denny:
Yes, we GAN: Applying adversarial techniques for autonomous driving. Autonomous Vehicles and Machines 2019: 1-17 - [c8]Michal Uricár, Ján Ulicný, Ganesh Sistu, Hazem Rashed, Pavel Krízek, David Hurych, Antonín Vobecký, Senthil Kumar Yogamani:
Desoiling Dataset: Restoring Soiled Areas on Automotive Fisheye Cameras. ICCV Workshops 2019: 4273-4279 - [c7]Michal Uricár, Pavel Krízek, Ganesh Sistu, Senthil Kumar Yogamani:
SoilingNet: Soiling Detection on Automotive Surround-View Cameras. ITSC 2019: 67-72 - [c6]Hazem Rashed, Senthil Kumar Yogamani, Ahmad El Sallab, Pavel Krízek, Mohamed El-Helw:
Optical Flow Augmented Semantic Segmentation Networks for Automated Driving. VISIGRAPP (5: VISAPP) 2019: 165-172 - [c5]Arindam Das, Saranya Kandan, Senthil Kumar Yogamani, Pavel Krízek:
Design of Real-time Semantic Segmentation Decoder for Automated Driving. VISIGRAPP (5: VISAPP) 2019: 393-400 - [c4]Michal Uricár, David Hurych, Pavel Krízek, Senthil Kumar Yogamani:
Challenges in Designing Datasets and Validation for Autonomous Driving. VISIGRAPP (5: VISAPP) 2019: 653-659 - [i6]Arindam Das, Saranya Kandan, Senthil Kumar Yogamani, Pavel Krízek:
Design of Real-time Semantic Segmentation Decoder for Automated Driving. CoRR abs/1901.06580 (2019) - [i5]Hazem Rashed, Senthil Kumar Yogamani, Ahmad El Sallab, Pavel Krízek, Mohamed El-Helw:
Optical Flow augmented Semantic Segmentation networks for Automated Driving. CoRR abs/1901.07355 (2019) - [i4]Michal Uricár, David Hurych, Pavel Krízek, Senthil Kumar Yogamani:
Challenges in Designing Datasets and Validation for Autonomous Driving. CoRR abs/1901.09270 (2019) - [i3]Michal Uricár, Pavel Krízek, David Hurych, Ibrahim Sobh, Senthil Kumar Yogamani, Patrick Denny:
Yes, we GAN: Applying Adversarial Techniques for Autonomous Driving. CoRR abs/1902.03442 (2019) - [i2]Michal Uricár, Pavel Krízek, Ganesh Sistu, Senthil Kumar Yogamani:
SoilingNet: Soiling Detection on Automotive Surround-View Cameras. CoRR abs/1905.01492 (2019) - [i1]Michal Uricár, Ganesh Sistu, Hazem Rashed, Antonín Vobecký, Pavel Krízek, Fabian Bürger, Senthil Kumar Yogamani:
Let's Get Dirty: GAN Based Data Augmentation for Soiling and Adverse Weather Classification in Autonomous Driving. CoRR abs/1912.02249 (2019) - 2016
- [j3]Pavel Krízek, Tomás Lukes, Martin Ovesný, Karel Fliegel, Guy M. Hagen:
SIMToolbox: a MATLAB toolbox for structured illumination fluorescence microscopy. Bioinform. 32(2): 318-320 (2016) - 2014
- [j2]Martin Maska, Vladimír Ulman, David Svoboda, Pavel Matula, Petr Matula, Cristina Ederra, Ainhoa Urbiola, Tomás España, Subramanian Venkatesan, Deepak M. W. Balak, Pavel Karas, Tereza Bolcková, Markéta Streitová, Craig Carthel, Stefano Coraluppi, Nathalie Harder, Karl Rohr, Klas E. G. Magnusson, Joakim Jaldén, Helen M. Blau, Oleh Dzyubachyk, Pavel Krízek, Guy M. Hagen, David Pastor-Escuredo, Daniel Jimenez-Carretero, María J. Ledesma-Carbayo, Arrate Muñoz-Barrutia, Erik Meijering, Michal Kozubek, Carlos Ortiz-de-Solorzano:
A benchmark for comparison of cell tracking algorithms. Bioinform. 30(11): 1609-1617 (2014) - [j1]Martin Ovesný, Pavel Krízek, Josef Borkovec, Zdenek Svindrych, Guy M. Hagen:
ThunderSTORM: a comprehensive ImageJ plug-in for PALM and STORM data analysis and super-resolution imaging. Bioinform. 30(16): 2389-2390 (2014)
2000 – 2009
- 2008
- [c3]Pavel Krízek, Josef Kittler, Václav Hlavác:
Feature condensing algorithm for feature selection. ICPR 2008: 1-4 - 2007
- [c2]Pavel Krízek, Josef Kittler, Václav Hlavác:
Improving Stability of Feature Selection Methods. CAIP 2007: 929-936 - 2006
- [c1]Pavel Krízek, Josef Kittler, Václav Hlavác:
Feature selection based on the training set manipulation. ICPR (2) 2006: 658-661
Coauthor Index
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