Alexander Shekhovtsov

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 40

Top Topics

Graphical Models

Energy Minimization

Probabilistic Neural Networks

Coordinate Ascent

Top Venues

Publications

Boris Flach, Dmitrij Schlesinger, Alexander Shekhovtsov
Symmetric Equilibrium Learning of VAEs. AISTATS (2024)
Alexander Shekhovtsov, Georgii Zakharov
Enumerating Complexity Revisited. CoRR (2023)
Tong Wei, Yash Patel, Alexander Shekhovtsov, Jirí Matas, Daniel Barath
Generalized Differentiable RANSAC. ICCV (2023)
Alexander Shekhovtsov, Georgii Zakharov
Enumerating Complexity Revisited. Electron. Colloquium Comput. Complex. (2023)
Alexander Shekhovtsov
Cold Analysis of Rao-Blackwellized Straight-Through Gumbel-Softmax Gradient Estimator. ICML (2023)
Boris Flach, Dmitrij Schlesinger, Alexander Shekhovtsov
Symmetric Equilibrium Learning of VAEs. CoRR (2023)
Alexander Shekhovtsov, Dmitrij Schlesinger, Boris Flach
VAE Approximation Error: ELBO and Exponential Families. ICLR (2022)
Alexander Shekhovtsov
Bias-Variance Tradeoffs in Single-Sample Binary Gradient Estimators. CoRR (2021)
Dmitrij Schlesinger, Alexander Shekhovtsov, Boris Flach
VAE Approximation Error: ELBO and Conditional Independence. CoRR (2021)
Alexander Shekhovtsov
Bias-Variance Tradeoffs in Single-Sample Binary Gradient Estimators. GCPR (2021)
Alexander Shekhovtsov, Viktor Yanush
Reintroducing Straight-Through Estimators as Principled Methods for Stochastic Binary Networks. GCPR (2021)
Anastasiia Livochka, Alexander Shekhovtsov
Initialization and Transfer Learning of Stochastic Binary Networks From Real-Valued Ones. CVPR Workshops (2021)
Siddharth Tourani, Alexander Shekhovtsov, Carsten Rother, Bogdan Savchynskyy
MPLP++: Fast, Parallel Dual Block-Coordinate Ascent for Dense Graphical Models. CoRR (2020)
Patrick Knöbelreiter, Christian Sormann, Alexander Shekhovtsov, Friedrich Fraundorfer, Thomas Pock
Belief Propagation Reloaded: Learning BP-Layers for Labeling Problems. CoRR (2020)
Siddharth Tourani, Alexander Shekhovtsov, Carsten Rother, Bogdan Savchynskyy
Taxonomy of Dual Block-Coordinate Ascent Methods for Discrete Energy Minimization. CoRR (2020)
Patrick Knöbelreiter, Christian Sormann, Alexander Shekhovtsov, Friedrich Fraundorfer, Thomas Pock
Belief Propagation Reloaded: Learning BP-Layers for Labeling Problems. CVPR (2020)
Alexander Shekhovtsov, Viktor Yanush, Boris Flach
Path Sample-Analytic Gradient Estimators for Stochastic Binary Networks. NeurIPS (2020)
Viktor Yanush, Alexander Shekhovtsov, Dmitry Molchanov, Dmitry P. Vetrov
Reintroducing Straight-Through Estimators as Principled Methods for Stochastic Binary Networks. CoRR (2020)
Alexander Shekhovtsov, Viktor Yanush, Boris Flach
Path Sample-Analytic Gradient Estimators for Stochastic Binary Networks. CoRR (2020)
Siddharth Tourani, Alexander Shekhovtsov, Carsten Rother, Bogdan Savchynskyy
Taxonomy of Dual Block-Coordinate Ascent Methods for Discrete Energy Minimization. AISTATS (2020)
Alexander Shekhovtsov, Boris Flach
Feed-forward Propagation in Probabilistic Neural Networks with Categorical and Max Layers. ICLR (Poster) (2019)
Alexander Shekhovtsov, Boris Flach
Stochastic Normalizations as Bayesian Learning. CoRR (2018)
Siddharth Tourani, Alexander Shekhovtsov, Carsten Rother, Bogdan Savchynskyy
MPLP++: Fast, Parallel Dual Block-Coordinate Ascent for Dense Graphical Models. ECCV (4) (2018)
Alexander Shekhovtsov, Boris Flach, Michal Busta
Feed-forward Uncertainty Propagation in Belief and Neural Networks. CoRR (2018)
Alexander Shekhovtsov, Paul Swoboda, Bogdan Savchynskyy
Maximum Persistency via Iterative Relaxed Inference in Graphical Models. IEEE Trans. Pattern Anal. Mach. Intell. 40 (7) (2018)
Alexander Shekhovtsov, Boris Flach
Stochastic Normalizations as Bayesian Learning. ACCV (2) (2018)
Alexander Shekhovtsov, Boris Flach
Normalization of Neural Networks using Analytic Variance Propagation. CoRR (2018)
Patrick Knöbelreiter, Christian Reinbacher, Alexander Shekhovtsov, Thomas Pock
End-to-End Training of Hybrid CNN-CRF Models for Stereo. CVPR (2017)
Gottfried Munda, Alexander Shekhovtsov, Patrick Knöbelreiter, Thomas Pock
Scalable Full Flow with Learned Binary Descriptors. CoRR (2017)
Gottfried Munda, Alexander Shekhovtsov, Patrick Knöbelreiter, Thomas Pock
Scalable Full Flow with Learned Binary Descriptors. GCPR (2017)
Boris Flach, Alexander Shekhovtsov, Ondrej Fikar
Generative learning for deep networks. CoRR (2017)
Alexander Shekhovtsov
Higher order maximum persistency and comparison theorems. Comput. Vis. Image Underst. 143 (2016)
Alexander Shekhovtsov, Christian Reinbacher, Gottfried Graber, Thomas Pock
Solving Dense Image Matching in Real-Time using Discrete-Continuous Optimization. CoRR (2016)
Patrick Knöbelreiter, Christian Reinbacher, Alexander Shekhovtsov, Thomas Pock
End-to-End Training of Hybrid CNN-CRF Models for Stereo. CoRR (2016)
Alexander Kirillov, Alexander Shekhovtsov, Carsten Rother, Bogdan Savchynskyy
Joint M-Best-Diverse Labelings as a Parametric Submodular Minimization. NIPS (2016)
Mengtian Li, Alexander Shekhovtsov, Daniel Huber
Complexity of Discrete Energy Minimization Problems. ECCV (2) (2016)
Mengtian Li, Alexander Shekhovtsov, Daniel Huber
Complexity of Discrete Energy Minimization Problems. CoRR (2016)
Paul Swoboda, Alexander Shekhovtsov, Jörg Hendrik Kappes, Christoph Schnörr, Bogdan Savchynskyy
Partial Optimality by Pruning for MAP-Inference with General Graphical Models. IEEE Trans. Pattern Anal. Mach. Intell. 38 (7) (2016)
Alexander Kirillov, Alexander Shekhovtsov, Carsten Rother, Bogdan Savchynskyy
Joint M-Best-Diverse Labelings as a Parametric Submodular Minimization. CoRR (2016)
Christian Payer, Michael Pienn, Zoltán Bálint, Alexander Shekhovtsov, Emina Talakic, Eszter Nagy, Andrea Olschewski, Horst Olschewski, Martin Urschler
Automated integer programming based separation of arteries and veins from thoracic CT images. Medical Image Anal. 34 (2016)
Alexander Shekhovtsov, Paul Swoboda, Bogdan Savchynskyy
Maximum persistency via iterative relaxed inference with graphical models. CVPR (2015)
Alexander Shekhovtsov, Paul Swoboda, Bogdan Savchynskyy
Maximum Persistency via Iterative Relaxed Inference with Graphical Models. CoRR (2015)
Alexander Shekhovtsov
Higher Order Maximum Persistency and Comparison Theorems. CoRR (2015)
Paul Swoboda, Alexander Shekhovtsov, Jörg Hendrik Kappes, Christoph Schnörr, Bogdan Savchynskyy
Partial Optimality by Pruning for MAP-Inference with General Graphical Models. CoRR (2014)
Alexander Shekhovtsov
Maximum Persistency in Energy Minimization. CVPR (2014)
Alexander Shekhovtsov
Maximum Persistency in Energy Minimization. CoRR (2014)
Alexander Shekhovtsov, Václav Hlavác
A Distributed Mincut/Maxflow Algorithm Combining Path Augmentation and Push-Relabel. Int. J. Comput. Vis. 104 (3) (2013)
Alexander Shekhovtsov, Pushmeet Kohli, Carsten Rother
Curvature Prior for MRF-Based Segmentation and Shape Inpainting. DAGM/OAGM Symposium (2012)
Alexander Shekhovtsov, Václav Hlavác
A Distributed Mincut/Maxflow Algorithm Combining Path Augmentation and Push-Relabel. EMMCVPR (2011)
Alexander Shekhovtsov, Pushmeet Kohli, Carsten Rother
Curvature Prior for MRF-based Segmentation and Shape Inpainting CoRR (2011)
Alexander Shekhovtsov, Václav Hlavác
On Partial Opimality by Auxiliary Submodular Problems CoRR (2011)
Alexander Shekhovtsov, Václav Hlavác
A Distributed Mincut/Maxflow Algorithm Combining Path Augmentation and Push-Relabel CoRR (2011)
Alexander Shekhovtsov, Václav Hlavác
Joint Image GMM and Shading MAP Estimation. ICPR (2010)
Michal Jancosek, Alexander Shekhovtsov, Tomás Pajdla
Scalable multi-view stereo. ICCV Workshops (2009)
Alexander Shekhovtsov, Juan D. García-Arteaga, Tomás Werner
A discrete search method for multi-modal non-rigid image registration. CVPR Workshops (2008)
Alexander Shekhovtsov, Ivan Kovtun, Václav Hlavác
Efficient MRF deformation model for non-rigid image matching. Comput. Vis. Image Underst. 112 (1) (2008)
Pushmeet Kohli, Alexander Shekhovtsov, Carsten Rother, Vladimir Kolmogorov, Philip H. S. Torr
On partial optimality in multi-label MRFs. ICML (2008)
Alexander Shekhovtsov, Ivan Kovtun, Václav Hlavác
Efficient MRF Deformation Model for Non-Rigid Image Matching. CVPR (2007)
Dmitrij Schlesinger, Boris Flach, Alexander Shekhovtsov
A Higher Order MRF-Model for Stereo-Reconstruction. DAGM-Symposium (2004)