Bogdan Savchynskyy
Heidelberg University(DE)Heidelberg University of Education(DE)
Publications by Year
Research Areas
Machine Learning and Algorithms, Advanced Neural Network Applications, Bayesian Modeling and Causal Inference, Complexity and Algorithms in Graphs, Graph Theory and Algorithms
Most-Cited Works
- → InstanceCut: From Edges to Instances with MultiCut(2017)262 cited
- → A Comparative Study of Modern Inference Techniques for Structured Discrete Energy Minimization Problems(2015)176 cited
- → Conditional Random Fields Meet Deep Neural Networks for Semantic Segmentation: Combining Probabilistic Graphical Models with Deep Learning for Structured Prediction(2018)138 cited
- → Global Hypothesis Generation for 6D Object Pose Estimation(2017)136 cited
- → A study of Nesterov's scheme for Lagrangian decomposition and MAP labeling(2011)57 cited
- → A Study of Lagrangean Decompositions and Dual Ascent Solvers for Graph Matching(2017)45 cited
- → A bundle approach to efficient MAP-inference by Lagrangian relaxation(2012)42 cited
- → Inferring M-Best Diverse Labelings in a Single One(2015)31 cited
- → Towards Globally Optimal Normal Orientations for Large Point Clouds(2016)28 cited
- → A Dual Ascent Framework for Lagrangean Decomposition of Combinatorial Problems(2017)24 cited