Machine Learning

Machine Learning group

Group members

Academic staff

Boris Flach (assoc. prof.)
Vojtěch Franc (assist. prof.)
Mirko Navara (prof.)
Daniel Průša (assist. prof.)
Tomáš Werner (assoc. prof.)

PhD students

Tomáš Sixta
Tomáš Dlask

Learning CNNs from weakly annotated images
We show how to learn CNNs for face recognition using weakly annotated images where the annotation is assigned to a set of candidate faces rather than a single face like in the standard supervised setting. We use our method to create a database containing more than 300k faces of celebrities each annotated with his/her biological age, gender and identity.

V. Franc, J. Cech (2018), Learning CNNs from Weakly Annotated Facial Images, Image and Vision Computing. (PDF, BibTex )

Probabilistic model for joint segmentation, detection and tracking
We have developed a novel method for joint segmentation, detection and tracking of multiple objects. The method is based on a probabilistic model that is defined implicitly in terms of a Markov chain Monte Carlo algorithm. The parameters of the model are learned using an objective based on empirical risk minimization. Our method was used by researchers from the Cells-in-Motion (CiM) Cluster of Excellence at the University of Münster for analysing the molecular mechanisms of motion and contact dynamics of endothelial cells when they form new blood vessels (full story). This work led to a joint publication in Nature Communications.

Jiahui Cao et al. (2017), Polarized actin and VE-cadherin dynamics regulate junctional remodelling and cell migration during sprouting angiogenesis, Nature Communications 8(1), (paper)

License Plate recognition and Super-resolution from Low-Resolution Videos We developed CNN architecture recognizing license plates from a sequence of low-resolution videos. Our system works reliably on videos which are unreadable by humans. We also show how to a generate super-resolution LP images from low-res videos.

V.Vasek, V. Franc, M. Urban (2018), License Plate Recognition and Super-resolution from Low-Resolution Videos by Convolutional Neural Networks, Proc. of British Machine Vision Conference. (PDF, BibTex)


Winter semester 2018/19
Summer semester 2018
Bachelor/Master thesis topics
DP,BP Human Face Synthesis V. Franc 12.10.2018
DP Deep spatio-temporal models for detecting changes of land cover use. B. Flach 16.05.2018
DP,BP,PTO Automated Face Swaping V. Franc 09.02.2018
DP,PTO Learning CNNs from Weakly annotated facial images V. Franc 09.02.2018
DP,BP,PMI,PRO Aproximační algoritmy pro úlohy řešitelné dynamickým programováním D. Průša 22.12.2017
DP Novel activation functions for Deep Neural Networks accounting for per-example variance O. Shekhovtsov, B. Flach 02.08.2017
DP,BP Algorithm to generate operations in many-valued logic M. Petrík, 04.03.2016
DP,BP Algoritmus generující operace ve vícehodnotové logice M. Petrík, 04.03.2016
DP Algebraické a analytické vlastnosti kvantových a fuzzy logik M. Navara 22.09.2008
BP Aproximace hodnot fuzzy konjunkcí M. Navara 22.09.2008
PMI Aproximace hodnot fuzzy konjunkcí M. Navara 22.09.2008
BP Archiv fuzzy logických operací M. Navara 22.09.2008
Automatické dokazování vět ve fuzzy logice M. Navara 22.09.2008
PMI Editor funkcí M. Navara 22.09.2008
PMI Knihovna fuzzy konjunkcí M. Navara 22.09.2008
DP Neexistence skrytých proměnných v kvantové fyzice M. Navara 22.09.2008
DP Pravděpodobnost na kvantových strukturách M. Navara 22.09.2008
DP Principy fuzzy řízení M. Navara 22.09.2008
PMI Rychlost konvergence učení klasifikátorů založených na SVM M. Navara 22.09.2008
BP Statistické metody rozpoznávání M. Navara 22.09.2008
PMI Webovská prezentace fuzzy klopného obvodu M. Navara 22.09.2008
Responsible person: ML Group Editor