Vojtech Franc

Publication Activity (10 Years)

Years Active: 2001-2024
Publications (10 Years): 26

Top Topics

Discriminative Learning

Facial Landmarks

Structured Output

Top Venues

Image Vis. Comput.

Publications

Vojtech Franc, Jakub Paplhám, Daniel Prusa
SCOD: From Heuristics to Theory. CoRR (2024)
Vojtech Franc, Daniel Prusa, Václav Vorácek
Optimal Strategies for Reject Option Classifiers. J. Mach. Learn. Res. 24 (2023)
Jakub Paplhám, Vojtech Franc, Daniela Lzicarová
Detection of Microscopic Fungi and Yeast in Clinical Samples Using Fluorescence Microscopy and Deep Learning. VISIGRAPP (4: VISAPP) (2023)
Jakub Paplhám, Vojtech Franc
Unraveling the Age Estimation Puzzle: Comparative Analysis of Deep Learning Approaches for Facial Age Estimation. CoRR (2023)
Vojtech Franc, Daniel Prusa, Jakub Paplhám
Reject option models comprising out-of-distribution detection. CoRR (2023)
Vojtech Franc, Daniel Prusa, Andrii Yermakov
Consistent and Tractable Algorithm for Markov Network Learning. ECML/PKDD (4) (2022)
Adéla Subrtová, Jan Cech, Vojtech Franc
Hairstyle Transfer between Face Images. FG (2021)
Vojtech Franc, Andrii Yermakov
Dominant subject recognition by Bayesian learning. FG (2021)
Vojtech Franc, Daniel Prusa, V. Voracek
Optimal strategies for reject option classifiers. CoRR (2021)
Vojtech Franc, Andrii Yermakov
Learning Maximum Margin Markov Networks from examples with missing labels. ACML (2021)
Andrii Yermakov, Vojtech Franc
CNN Based Predictor of Face Image Quality. ICPR Workshops (6) (2020)
Jan Brabec, Tomás Komárek, Vojtech Franc, Lukás Machlica
On Model Evaluation under Non-constant Class Imbalance. CoRR (2020)
Jan Brabec, Tomás Komárek, Vojtech Franc, Lukás Machlica
On Model Evaluation Under Non-constant Class Imbalance. ICCS (4) (2020)
Vojtech Franc, Daniel Prusa
On discriminative learning of prediction uncertainty. ICML (2019)
Vojtech Franc, Ondrej Fikar, Karel Bartos, Michal Sofka
Learning data discretization via convex optimization. Mach. Learn. 107 (2) (2018)
Radim Spetlík, Vojtech Franc, Jan Cech, Jiri Matas
Visual Heart Rate Estimation with Convolutional Neural Network. BMVC (2018)
Vojtech Franc, Jan Cech
Learning CNNs from weakly annotated facial images. Image Vis. Comput. 77 (2018)
Vojtech Vasek, Vojtech Franc, Martin Urban
License Plate Recognition and Super-resolution from Low-Resolution Videos by Convolutional Neural Networks. BMVC (2018)
Vojtech Franc, Jan Cech
Learning CNNs for Face Recognition from Weakly Annotated Images. FG (2017)
Hakan Cevikalp, Vojtech Franc
Large-scale robust transductive support vector machines. Neurocomputing 235 (2017)
Radim Spetlík, Jan Cech, Vojtech Franc, Jiri Matas
Visual Language Identification from Facial Landmarks. SCIA (2) (2017)
Michal Uricár, Vojtech Franc, Diego Thomas, Akihiro Sugimoto, Václav Hlavác
Multi-view facial landmark detector learned by the Structured Output SVM. Image Vis. Comput. 47 (2016)
Karel Bartos, Michal Sofka, Vojtech Franc
Learning Invariant Representation for Malicious Network Traffic Detection. ECAI (2016)
Kostiantyn Antoniuk, Vojtech Franc, Václav Hlavác
V-shaped interval insensitive loss for ordinal classification. Mach. Learn. 103 (2) (2016)
Karel Bartos, Michal Sofka, Vojtech Franc
Optimized Invariant Representation of Network Traffic for Detecting Unseen Malware Variants. USENIX Security Symposium (2016)
Jan Cech, Vojtech Franc, Michal Uricár, Jiri Matas
Multi-view facial landmark detection by using a 3D shape model. Image Vis. Comput. 47 (2016)
Michal Uricár, Vojtech Franc, Václav Hlavác
Facial Landmark Tracking by Tree-Based Deformable Part Model Based Detector. ICCV Workshops (2015)
Vojtech Franc, Michal Sofka, Karel Bartos
Learning Detector of Malicious Network Traffic from Weak Labels. ECML/PKDD (3) (2015)
Kostiantyn Antoniuk, Vojtech Franc, Václav Hlavác
Consistency of structured output learning with missing labels. ACML (2015)
Michal Uricár, Vojtech Franc, Diego Thomas, Akihiro Sugimoto, Václav Hlavác
Real-time multi-view facial landmark detector learned by the structured output SVM. FG (2015)
Kostiantyn Antoniuk, Vojtech Franc, Václav Hlavác
Interval Insensitive Loss for Ordinal Classification. ACML (2014)
Jan Cech, Vojtech Franc, Jiri Matas
A 3D Approach to Facial Landmarks: Detection, Refinement, and Tracking. ICPR (2014)
Vojtech Franc
FASOLE: Fast Algorithm for Structured Output LEarning. ECML/PKDD (1) (2014)
Hakan Cevikalp, Bill Triggs, Vojtech Franc
Face and landmark detection by using cascade of classifiers. FG (2013)
Kostiantyn Antoniuk, Vojtech Franc, Václav Hlavác
MORD: Multi-class Classifier for Ordinal Regression. ECML/PKDD (3) (2013)
Xavier Alameda-Pineda, Jordi Sanchez-Riera, Johannes Wienke, Vojtech Franc, Jan Cech, Kaustubh Kulkarni, Antoine Deleforge, Radu Horaud
RAVEL: an annotated corpus for training robots with audiovisual abilities. J. Multimodal User Interfaces 7 (1-2) (2013)
Michal Uricár, Vojtech Franc, Václav Hlavác
Bundle Methods for Structured Output Learning - Back to the Roots. SCIA (2013)
Michal Uricár, Vojtech Franc, Václav Hlavác
Facial Landmarks Detector Learned by the Structured Output SVM. VISIGRAPP (Selected Papers) (2012)
Kostiantyn Antoniuk, Vojtech Franc, Václav Hlavác
Learning Markov Networks by Analytic Center Cutting Plane Method. ICPR (2012)
Michal Uricár, Vojtech Franc, Václav Hlavác
Detector of Facial Landmarks Learned by the Structured Output SVM . VISAPP (1) (2012)
Vojtech Franc, Alexander Zien, Bernhard Schölkopf
Support Vector Machines as Probabilistic Models. ICML (2011)
Sören Sonnenburg, Vojtech Franc
COFFIN: A Computational Framework for Linear SVMs. ICML (2010)
Sören Sonnenburg, Gunnar Rätsch, Sebastian Henschel, Christian Widmer, Jonas Behr, Alexander Zien, Fabio De Bona, Alexander Binder, Christian Gehl, Vojtech Franc
The SHOGUN Machine Learning Toolbox. J. Mach. Learn. Res. 11 (2010)
Vojtech Franc, Sören Sonnenburg
Optimized Cutting Plane Algorithm for Large-Scale Risk Minimization. J. Mach. Learn. Res. 10 (2009)
Vojtech Franc, Sören Sonnenburg
Optimized cutting plane algorithm for support vector machines. ICML (2008)
Jan Rathouský, Martin Urban, Vojtech Franc
Recognition of Text with Known Geometric, Grammatical Structure. VISAPP (2) (2008)
Vojtech Franc, Bogdan Savchynskyy
Discriminative Learning of Max-Sum Classifiers. J. Mach. Learn. Res. 9 (2008)
Vojtech Franc, Pavel Laskov, Klaus-Robert Müller
Stopping conditions for exact computation of leave-one-out error in support vector machines. ICML (2008)
Petr Posík, Vojtech Franc
Estimation of fitness landscape contours in EAs. GECCO (2007)
Vojtech Franc, Václav Hlavác
Greedy Kernel Principal Component Analysis. Cognitive Vision Systems (2006)
Vojtech Franc, Václav Hlavác
Simple Solvers for Large Quadratic Programming Tasks. DAGM-Symposium (2005)
Vojtech Franc, Václav Hlavác
License Plate Character Segmentation Using Hidden Markov Chains. DAGM-Symposium (2005)
Vojtech Franc, Václav Hlavác, Mirko Navara
Sequential Coordinate-Wise Algorithm for the Non-negative Least Squares Problem. CAIP (2005)
Vojtech Franc, Václav Hlavác
An iterative algorithm learning the maximal margin classifier. Pattern Recognit. 36 (9) (2003)
Vojtech Franc, Václav Hlavác
Greedy Algorithm for a Training Set Reduction in the Kernel Methods. CAIP (2003)
Karel Hanton, Vladimír Smutný, Vojtech Franc, Václav Hlavác
Alignment of Sewerage Inspection Videos for Their Easier Indexing. ICVS (2003)
Dick de Ridder, Vojtech Franc
Robust subspace mixture models using t-distributions. BMVC (2003)
Vojtech Franc, Václav Hlavác
Multi-Class Support Vector Machine. ICPR (2) (2002)
Vojtech Franc, Václav Hlavác
A Contribution to the Schlesinger's Algorithm Separating Mixtures of Gaussians. CAIP (2001)