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UO > About > Organizational Structure > Faculties & Institutes > Centre of Excellence IT4Innovations, division of UO, Institute for Research and Applications of Fuzzy Modeling

Vojtěch Molek

Vojtěch Molek

Academic degree, name, surname:
Mgr. Vojtěch Molek, Ph.D.
Room, floor, building:
C 713, Building C
Position:
Research interests and teaching:
image processing, deep learning
Department (Faculty):
Institute for Research and Applications of Fuzzy Modeling
Phone number, mobile:
+420 553 46 1414
E-mail:



No record found.



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
 
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
 
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
 
Classification of dragonflies with computationally restricted deep neural network
Vojtěch Molek, Stanislav Ožana, Michal HYKEL
Year: 2019
abstract in proceedings
 
Scale-Space Theory, F-transform kernels and CNN Realization
Vojtěch Molek, Irina Perfiljeva
Year: 2019
abstract in proceedings
 
Synthetic dataset for compositional learning
Vojtěch Molek, Jan HŮLA
Year: 2018
abstract in proceedings
 

Dist-YOLO -- YOLOv3 with distance
Marek Vajgl, Petr Hurtík, Vojtěch Molek
Year: 2023
software
 
EfficientNet4Classification
Petr Hurtík, Vojtěch Molek, David Adamczyk
Year: 2023
software
 
Image segmentation losses with modules expressing a relationship between predictions
Petr Hurtík, Vojtěch Molek, Hana ZÁMEČNÍKOVÁ
Year: 2022
abstract in proceedings
 
Unproportional mosaicing
Vojtěch Molek, Petr Hurtík, Pavel Vlašánek, David Adamczyk
Year: 2022
abstract in proceedings
 
Yolo4Detection
Petr Hurtík, Vojtěch Molek, David Adamczyk
Year: 2022
software
 
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
abstract in proceedings
 
Convolutional Neural Networks with the F-transform Kernels
Vojtěch Molek, Irina Perfiljeva
Year: 2017
presentations (congresses, symposia, conferences, workshops)
 
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
abstract in proceedings
 
RELATIONSHIP BETWEEN CONVOLUTIONAL NEURAL NETWORKS AND F-TRANSFORM
Vojtěch Molek, Irina Perfiljeva
Year: 2016
presentations (congresses, symposia, conferences, workshops)
 
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
 

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Author
Title
Type of thesis
Year
Šňupárek Matěj
Processing Medical Data using Deep Learning Methods
Bachelor's thesis
2024
Galia Lukáš
Possibilities of neural network deployment
Bachelor's thesis
2020
Kozák Lukáš
Monitoring and analysis of the skull shape based on WebGL
Bachelor's thesis
2018



Preprocessing methods and techniques in data analysis
Main solver
Mgr. Vojtěch Molek, Ph.D.
Period
1/2019 - 12/2019
Provider
Specifický VŠ výzkum
State
finished
 

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