Publications (16)
Feed-forward Uncertainty Propagation in Belief and Neural Networks
Alexander Shekhovtsov, Boris Flach, Michal Busta
Joint M-Best-Diverse Labelings as a Parametric Submodular Minimization
Alexander Kirillov, Alexander Shekhovtsov, Carsten Rother +1
Complexity of Discrete Energy Minimization Problems
Mengtian Li, Alexander Shekhovtsov, Daniel Huber
Solving Dense Image Matching in Real-Time using Discrete-Continuous Optimization
Alexander Shekhovtsov, Christian Reinbacher, Gottfried Graber +1
Maximum Persistency via Iterative Relaxed Inference with Graphical Models
Alexander Shekhovtsov, Paul Swoboda, Bogdan Savchynskyy
On Partial Opimality by Auxiliary Submodular Problems
Alexander Shekhovtsov, Vaclav Hlavac
Stochastic Normalizations as Bayesian Learning
Alexander Shekhovtsov, Boris Flach
Normalization of Neural Networks using Analytic Variance Propagation
Alexander Shekhovtsov, Boris Flach
Scalable Full Flow with Learned Binary Descriptors
Gottfried Munda, Alexander Shekhovtsov, Patrick Knöbelreiter +1
Maximum Persistency in Energy Minimization
Alexander Shekhovtsov
Curvature Prior for MRF-based Segmentation and Shape Inpainting
Alexander Shekhovtsov, Pushmeet Kohli, Carsten Rother
A Distributed Mincut/Maxflow Algorithm Combining Path Augmentation and Push-Relabel
Alexander Shekhovtsov, Vaclav Hlavac
Higher Order Maximum Persistency and Comparison Theorems
Alexander Shekhovtsov
Partial Optimality by Pruning for MAP-Inference with General Graphical Models
Paul Swoboda, Alexander Shekhovtsov, Jörg Hendrik Kappes +2
Generative learning for deep networks
Boris Flach, Alexander Shekhovtsov, Ondrej Fikar
End-to-End Training of Hybrid CNN-CRF Models for Stereo
Patrick Knöbelreiter, Christian Reinbacher, Alexander Shekhovtsov +1