Poly-YOLO: higher speed, more precise detection and instance segmentation for YOLOv3 |
Petr Hurtík, Vojtěch Molek, Jan Hůla, Marek Vajgl, Pavel Vlašánek, Tomáš Nejezchleba ... other authors |
Year: 2021, NEURAL COMPUT APPL |
journal article
|
Segmenting out Generic Objects in Monocular Videos |
Jan Hůla, David Mojžíšek, David Adamczyk, Vojtěch Molek |
Year: 2021 |
abstract in proceedings
|
Continuous spatial pooling |
Vojtěch Molek, Petr Hurtík, Pavel Vlašánek |
Year: 2020 |
presentations (congresses, symposia, conferences, workshops)
|
Data Preprocessing Technique for Neural Networks Based on Image Represented by a Fuzzy Function |
Petr Hurtík, Vojtěch Molek, Jan Hůla |
Year: 2020, IEEE Transactions on Fuzzy Systems |
journal article
|
F-Transform and Convolutional NN:Cross-Fertilization and Step Forward |
Vojtěch Molek, Irina Perfiljeva |
Year: 2020 |
abstract in proceedings
|
Novel dimensionality reduction approach for unsupervised learning on small datasets |
Petr Hurtík, Vojtěch Molek, Irina Perfiljeva |
Year: 2020, PATTERN RECOGN |
journal article
|
Poly-YOLO |
Jan Hůla, Vojtěch Molek, Petr Hurtík, Marek Vajgl, Pavel Vlašánek |
Year: 2020 |
software
|
Training neural network over encrypted data |
Vojtěch Molek, Petr Hurtík |
Year: 2020 |
abstract in proceedings
|
YOLO-ASC: You Only Look Once And See Contours |
Petr Hurtík, Vojtěch Molek, Pavel Vlašánek |
Year: 2020 |
abstract in proceedings
|
Classification of dragonflies with computationally restricted deep neural network |
Vojtěch Molek, Stanislav Ožana, Michal HYKEL |
Year: 2019 |
abstract in proceedings
|
Convolutional Neural Networks with Interpretable Kernels |
Vojtěch Molek, Irina Perfiljeva |
Year: 2019 |
abstract in proceedings
|
Dragonflies classification with Convolutional Neural Networks |
Vojtěch Molek, Stanislav Ožana, Michal HYKEL |
Year: 2019 |
abstract in proceedings
|
Fuzzy preprocessing for semi-supervised image classification in modern industry |
Petr Hurtík, Vojtěch Molek |
Year: 2019 |
abstract in proceedings
|
How difficult is it to turn an amateur into an ?expert? in Odonata identification? |
Stanislav Ožana, Vojtěch Molek, Michal Hykel, Michal Burda, Marek Malina, Martin Prášek, Aleš Dolný ... other authors |
Year: 2019 |
presentations (congresses, symposia, conferences, workshops)
|
Jak těžké je učinit amatéra odborníkem na determinaci organismů? |
Stanislav Ožana, Vojtěch Molek, Michal HYKEL, Michal Burda, Marek Malina, Martin Prášek, Aleš Dolný ... other authors |
Year: 2019 |
presentations (congresses, symposia, conferences, workshops)
|
Refining boundaries of YOLO detector |
Vojtěch Molek, Petr Hurtík |
Year: 2019 |
presentations (congresses, symposia, conferences, workshops)
|
Scale-Space Theory, F-transform kernels and CNN Realization |
Vojtěch Molek, Irina Perfiljeva |
Year: 2019 |
abstract in proceedings
|
Universal preprocessing for Neural Networks given by Image Represented by a Fuzzy Function |
Petr Hurtík, Vojtěch Molek, Jan HŮLA |
Year: 2019 |
abstract in proceedings
|
Discovering basic kernels in the first layer of a CNN |
Vojtěch Molek, Irina Perfiljeva |
Year: 2018 |
abstract in proceedings
|
Discovering basic kernels in the first layer of a CNN |
Vojtěch Molek, Irina Perfiljeva |
Year: 2018 |
presentations (congresses, symposia, conferences, workshops)
|
Dragonflies classification with CNN |
Vojtěch Molek |
Year: 2018 |
presentations (congresses, symposia, conferences, workshops)
|
Image contours detection with deep features and SVM |
Vojtěch Molek |
Year: 2018 |
abstract in proceedings
|
Implementing Ft kernels into Convolutional Neural Networks |
Vojtěch Molek |
Year: 2018 |
presentations (congresses, symposia, conferences, workshops)
|
International Student Conference on Applied Mathematics and Informatics |
Vojtěch Molek |
Year: 2018 |
organizing conference, workshop
|
Synthetic dataset for compositional learning |
Vojtěch Molek, Jan HŮLA |
Year: 2018 |
presentations (congresses, symposia, conferences, workshops)
|
Synthetic dataset for compositional learning |
Vojtěch Molek, Jan HŮLA |
Year: 2018 |
abstract in proceedings
|
Convolutional Neural Networks with the F-transform Kernels |
Vojtěch Molek, Irina Perfiljeva |
Year: 2017 |
presentations (congresses, symposia, conferences, workshops)
|
Convolutional Neural Networks with the F-transform Kernels |
Vojtěch Molek, Irina Perfiljeva |
Year: 2017 |
abstract in proceedings
|
Image contours detection with deep features |
Vojtěch Molek |
Year: 2017 |
presentations (congresses, symposia, conferences, workshops)
|
Image contours detection with deep features and SVM |
Vojtěch Molek |
Year: 2017 |
presentations (congresses, symposia, conferences, workshops)
|
International Student Conference on Applied Mathematics and Informatics |
Vojtěch Molek |
Year: 2017 |
organizing conference, workshop
|
Computer graphics algorithms and structures - Workbook |
Alexej Kolcun, Pavel Vlašánek, Vojtěch Molek |
Year: 2016 |
learning texts, university textbooks, tutorials, handbooks
|
Relationship between convolutional neural networks and F-transform |
Vojtěch MOLEK, Irina Perfiljeva |
Year: 2016 |
presentations (congresses, symposia, conferences, workshops)
|
RELATIONSHIP BETWEEN CONVOLUTIONAL NEURAL NETWORKS AND F-TRANSFORM |
Vojtěch Molek, Irina Perfiljeva |
Year: 2016 |
presentations (congresses, symposia, conferences, workshops)
|
RELATIONSHIP BETWEEN CONVOLUTIONAL NEURAL NETWORKS AND F-TRANSFORM |
Vojtěch Molek, Irina Perfiljeva |
Year: 2016 |
abstract in proceedings
|
2nd European Summer School on Fuzzy Logic and Applications |
Petra Števuliáková, Martin Štěpnička, Antonín Dvořák, Petr Hurtík, Vojtěch Molek |
Year: 2016 |
organizing conference, workshop
|
Convolutional neural networks |
Vojtěch Molek |
Year: 2015 |
presentations (congresses, symposia, conferences, workshops)
|
Paralelizace algoritmů pro kontextové zpracování rastrového obrazu |
Vojtěch Molek |
Year: 2015 |
presentations (congresses, symposia, conferences, workshops)
|
Parallelization of the algorithms for the context processing of raster images |
Vojtěch Molek |
Year: 2015 |
abstract in proceedings
|
No record found.