Teaching<- back to the main page of Dr. Bogdan Savchynskyy

Teaching

SS 2020: Seminar Combinatorial Optimization in Machine Learning and Computer Vision
Research Seminar Seminar on Convex and Combinatorial Optimization, coordinated by myself, is active also during the lecture-free time.

WS 2019/20 : Lecture Optimization for Machine Learning
WS 2019/20: Seminar Combinatorial Optimization in Machine Learning and Computer Vision
Sep. 23-27, 2019, NTUU "KPI" Kyiv, Ukraine: Compact-course on Discrete Energy Minimization

SS 2019 : Lecture Algorithmen und Datenstrukturen (in German)
SS 2019: Seminar Combinatorial Optimization in Machine Learning and Computer Vision

WS 2018/19: Lecture course Optimization for Machine Learning.
WS 2018/19: Seminar Combinatorial Optimization in Machine Learning and Computer Vision

SS 2018: Lecture course Optimization for Machine Learning.
SS 2018: Seminar Optimization for Machine Learning

TU Dresden:
SS 2016: Optimization for Machine Learning.
SS 2015: Machine Learning II.

Heidelberg University WS 2011:
Variational Image Analysis and Pattern Recognition, together with Dr. Frank Lenzen.
Lecture draft w/o slides [pdf]; Excersises [pdf]; Slides: introduction [pdf] and applications [pdf].

Some of my presentations

How to avoid typical mistakes when giving a scientific presentation Do's and Dont's in scientific talks

Tutorial on What is Graph- and Multi-Graph Matching and Why we need them at GCPR 2022

Tutorial on Algorithmic Techniques for Graph Matching and Their Recent Comparison Study at GCPR 2022

Tutorial on the diversity problem Diversity meets Deep Networks — Inference, Ensemble Learning, and Applications at CVPR 2016

Tutorial on Inference and Learning for Discrete Graphical Models: Theory and Practice at ICCV 2015

Solving Large Scale Submodular MRF Energy Minimization Problems. Overview of some results from the PhD Thesis of Ivan Kovtun.