Vojtech Franc

Orcid: 0000-0001-7189-1224

According to our database1, Vojtech Franc authored at least 56 papers between 2001 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023
Optimal Strategies for Reject Option Classifiers.
J. Mach. Learn. Res., 2023

Reject option models comprising out-of-distribution detection.
CoRR, 2023

Unraveling the Age Estimation Puzzle: Comparative Analysis of Deep Learning Approaches for Facial Age Estimation.
CoRR, 2023

Detection of Microscopic Fungi and Yeast in Clinical Samples Using Fluorescence Microscopy and Deep Learning.
Proceedings of the 18th International Joint Conference on Computer Vision, 2023

2022
Consistent and Tractable Algorithm for Markov Network Learning.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

2021
Hairstyle Transfer between Face Images.
Proceedings of the 16th IEEE International Conference on Automatic Face and Gesture Recognition, 2021

Dominant subject recognition by Bayesian learning.
Proceedings of the 16th IEEE International Conference on Automatic Face and Gesture Recognition, 2021

Learning Maximum Margin Markov Networks from examples with missing labels.
Proceedings of the Asian Conference on Machine Learning, 2021

2020
CNN Based Predictor of Face Image Quality.
Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020

On Model Evaluation Under Non-constant Class Imbalance.
Proceedings of the Computational Science - ICCS 2020, 2020

2019
On discriminative learning of prediction uncertainty.
Proceedings of the 36th International Conference on Machine Learning, 2019

2018
Learning data discretization via convex optimization.
Mach. Learn., 2018

Learning CNNs from weakly annotated facial images.
Image Vis. Comput., 2018

License Plate Recognition and Super-resolution from Low-Resolution Videos by Convolutional Neural Networks.
Proceedings of the British Machine Vision Conference 2018, 2018

Visual Heart Rate Estimation with Convolutional Neural Network.
Proceedings of the British Machine Vision Conference 2018, 2018

2017
Large-scale robust transductive support vector machines.
Neurocomputing, 2017

Visual Language Identification from Facial Landmarks.
Proceedings of the Image Analysis - 20th Scandinavian Conference, 2017

Learning CNNs for Face Recognition from Weakly Annotated Images.
Proceedings of the 12th IEEE International Conference on Automatic Face & Gesture Recognition, 2017

2016
V-shaped interval insensitive loss for ordinal classification.
Mach. Learn., 2016

Multi-view facial landmark detector learned by the Structured Output SVM.
Image Vis. Comput., 2016

Multi-view facial landmark detection by using a 3D shape model.
Image Vis. Comput., 2016

Optimized Invariant Representation of Network Traffic for Detecting Unseen Malware Variants.
Proceedings of the 25th USENIX Security Symposium, 2016

Learning Invariant Representation for Malicious Network Traffic Detection.
Proceedings of the ECAI 2016 - 22nd European Conference on Artificial Intelligence, 29 August-2 September 2016, The Hague, The Netherlands, 2016

2015
Learning Detector of Malicious Network Traffic from Weak Labels.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015

Facial Landmark Tracking by Tree-Based Deformable Part Model Based Detector.
Proceedings of the 2015 IEEE International Conference on Computer Vision Workshop, 2015

Real-time multi-view facial landmark detector learned by the structured output SVM.
Proceedings of the 11th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition, 2015

Consistency of structured output learning with missing labels.
Proceedings of The 7th Asian Conference on Machine Learning, 2015

2014
FASOLE: Fast Algorithm for Structured Output LEarning.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014

A 3D Approach to Facial Landmarks: Detection, Refinement, and Tracking.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014

Interval Insensitive Loss for Ordinal Classification.
Proceedings of the Sixth Asian Conference on Machine Learning, 2014

2013
RAVEL: an annotated corpus for training robots with audiovisual abilities.
J. Multimodal User Interfaces, 2013

Bundle Methods for Structured Output Learning - Back to the Roots.
Proceedings of the Image Analysis, 18th Scandinavian Conference, 2013

MORD: Multi-class Classifier for Ordinal Regression.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013

Face and landmark detection by using cascade of classifiers.
Proceedings of the 10th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition, 2013

2012
Facial Landmarks Detector Learned by the Structured Output SVM.
Proceedings of the Computer Vision, Imaging and Computer Graphics. Theory and Application, 2012

Detector of Facial Landmarks Learned by the Structured Output SVM .
Proceedings of the VISAPP 2012, 2012

Learning Markov Networks by Analytic Center Cutting Plane Method.
Proceedings of the 21st International Conference on Pattern Recognition, 2012

2011
Support Vector Machines as Probabilistic Models.
Proceedings of the 28th International Conference on Machine Learning, 2011

2010
The SHOGUN Machine Learning Toolbox.
J. Mach. Learn. Res., 2010

COFFIN: A Computational Framework for Linear SVMs.
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010

2009
Optimized Cutting Plane Algorithm for Large-Scale Risk Minimization.
J. Mach. Learn. Res., 2009

2008
Discriminative Learning of Max-Sum Classifiers.
J. Mach. Learn. Res., 2008

Recognition of Text with Known Geometric, Grammatical Structure.
Proceedings of the VISAPP 2008: Proceedings of the Third International Conference on Computer Vision Theory and Applications, Funchal, Madeira, Portugal, January 22-25, 2008, 2008

Optimized cutting plane algorithm for support vector machines.
Proceedings of the Machine Learning, 2008

Stopping conditions for exact computation of leave-one-out error in support vector machines.
Proceedings of the Machine Learning, 2008

2007
Estimation of fitness landscape contours in EAs.
Proceedings of the Genetic and Evolutionary Computation Conference, 2007

2006
Greedy Kernel Principal Component Analysis.
Proceedings of the Cognitive Vision Systems, 2006

2005
License Plate Character Segmentation Using Hidden Markov Chains.
Proceedings of the Pattern Recognition, 27th DAGM Symposium, Vienna, Austria, August 31, 2005

Simple Solvers for Large Quadratic Programming Tasks.
Proceedings of the Pattern Recognition, 27th DAGM Symposium, Vienna, Austria, August 31, 2005

Sequential Coordinate-Wise Algorithm for the Non-negative Least Squares Problem.
Proceedings of the Computer Analysis of Images and Patterns, 11th International Conference, 2005

2003
An iterative algorithm learning the maximal margin classifier.
Pattern Recognit., 2003

Alignment of Sewerage Inspection Videos for Their Easier Indexing.
Proceedings of the Computer Vision Systems, Third International Conference, 2003

Greedy Algorithm for a Training Set Reduction in the Kernel Methods.
Proceedings of the Computer Analysis of Images and Patterns, 10th International Conference, 2003

Robust subspace mixture models using t-distributions.
Proceedings of the British Machine Vision Conference, 2003

2002
Multi-Class Support Vector Machine.
Proceedings of the 16th International Conference on Pattern Recognition, 2002

2001
A Contribution to the Schlesinger's Algorithm Separating Mixtures of Gaussians.
Proceedings of the Computer Analysis of Images and Patterns, 9th International Conference, 2001


  Loading...