Bjoern Andres

According to our database1, Bjoern Andres authored at least 69 papers between 2007 and 2018.

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Bibliography

2018
Tracing cell lineages in videos of lens-free microscopy.
Medical Image Analysis, 2018

Partial Optimality and Fast Lower Bounds for Weighted Correlation Clustering.
Proceedings of the 35th International Conference on Machine Learning, 2018

2017
Efficient Algorithms for Moral Lineage Tracing.
CoRR, 2017

Discrete-Continuous Splitting for Weakly Supervised Learning.
CoRR, 2017

Decomposition of Trees and Paths via Correlation.
CoRR, 2017

Cell Lineage Tracing in Lens-Free Microscopy Videos.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

Uncertainty Estimation in Vascular Networks.
Proceedings of the Graphs in Biomedical Image Analysis, Computational Anatomy and Imaging Genetics, 2017

Analysis and Optimization of Graph Decompositions by Lifted Multicuts.
Proceedings of the 34th International Conference on Machine Learning, 2017

Efficient Algorithms for Moral Lineage Tracing.
Proceedings of the IEEE International Conference on Computer Vision, 2017

A Comparative Study of Local Search Algorithms for Correlation Clustering.
Proceedings of the Pattern Recognition - 39th German Conference, 2017

Multiple People Tracking by Lifted Multicut and Person Re-identification.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

A Message Passing Algorithm for the Minimum Cost Multicut Problem.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Joint Graph Decomposition & Node Labeling: Problem, Algorithms, Applications.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

InstanceCut: From Edges to Instances with MultiCut.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

ArtTrack: Articulated Multi-Person Tracking in the Wild.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016
Reconstructing Curvilinear Networks Using Path Classifiers and Integer Programming.
IEEE Trans. Pattern Anal. Mach. Intell., 2016

Multi-Person Tracking by Multicut and Deep Matching.
CoRR, 2016

A Message Passing Algorithm for the Minimum Cost Multicut Problem.
CoRR, 2016

Convexification of Learning from Constraints.
CoRR, 2016

The Minimum Cost Connected Subgraph Problem in Medical Image Analysis.
CoRR, 2016

Joint Graph Decomposition and Node Labeling by Local Search.
CoRR, 2016

InstanceCut: from Edges to Instances with MultiCut.
CoRR, 2016

A Multi-cut Formulation for Joint Segmentation and Tracking of Multiple Objects.
CoRR, 2016

DeeperCut: A Deeper, Stronger, and Faster Multi-Person Pose Estimation Model.
CoRR, 2016

Articulated Multi-person Tracking in the Wild.
CoRR, 2016

The Minimum Cost Connected Subgraph Problem in Medical Image Analysis.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

Multi-person Tracking by Multicut and Deep Matching.
Proceedings of the Computer Vision - ECCV 2016 Workshops, 2016

DeeperCut: A Deeper, Stronger, and Faster Multi-person Pose Estimation Model.
Proceedings of the Computer Vision - ECCV 2016, 2016

An Efficient Fusion Move Algorithm for the Minimum Cost Lifted Multicut Problem.
Proceedings of the Computer Vision - ECCV 2016, 2016

Convexification of Learning from Constraints.
Proceedings of the Pattern Recognition - 38th German Conference, 2016

Convexity Shape Constraints for Image Segmentation.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

DeepCut: Joint Subset Partition and Labeling for Multi Person Pose Estimation.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Moral Lineage Tracing.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015
Reconstructing cerebrovascular networks under local physiological constraints by integer programming.
Medical Image Analysis, 2015

A Comparative Study of Modern Inference Techniques for Structured Discrete Energy Minimization Problems.
International Journal of Computer Vision, 2015

Convexity Shape Constraints for Image Segmentation.
CoRR, 2015

DeepCut: Joint Subset Partition and Labeling for Multi Person Pose Estimation.
CoRR, 2015

Efficient Decomposition of Image and Mesh Graphs by Lifted Multicuts.
CoRR, 2015

Moral Lineage Tracing.
CoRR, 2015

Lifting of Multicuts.
CoRR, 2015

Efficient Decomposition of Image and Mesh Graphs by Lifted Multicuts.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Motion Trajectory Segmentation via Minimum Cost Multicuts.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Subgraph decomposition for multi-target tracking.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

Rekonstruktion zerebraler Gefässnetzwerke aus in-vivo μMRA mittels physiologischem Vorwissen zur lokalen Gefässgeometrie.
Proceedings of the Bildverarbeitung für die Medizin 2015, Algorithmen - Systeme, 2015

2014
Estimating Maximally Probable Constrained Relations by Mathematical Programming.
CoRR, 2014

A Comparative Study of Modern Inference Techniques for Structured Discrete Energy Minimization Problems.
CoRR, 2014

Extracting Vascular Networks under Physiological Constraints via Integer Programming.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014

Candidate Sampling for Neuron Reconstruction from Anisotropic Electron Microscopy Volumes.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014

2013
Segmenting Planar Superpixel Adjacency Graphs w.r.t. Non-planar Superpixel Affinity Graphs.
Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2013

Reconstructing Loopy Curvilinear Structures Using Integer Programming.
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

A Comparative Study of Modern Inference Techniques for Discrete Energy Minimization Problems.
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

2012
3D segmentation of SBFSEM images of neuropil by a graphical model over supervoxel boundaries.
Medical Image Analysis, 2012

OpenGM: A C++ Library for Discrete Graphical Models
CoRR, 2012

A Discrete Chain Graph Model for 3d+t Cell Tracking with High Misdetection Robustness.
Proceedings of the Computer Vision - ECCV 2012, 2012

The Lazy Flipper: Efficient Depth-Limited Exhaustive Search in Discrete Graphical Models.
Proceedings of the Computer Vision - ECCV 2012, 2012

Globally Optimal Closed-Surface Segmentation for Connectomics.
Proceedings of the Computer Vision - ECCV 2012, 2012

Efficient automatic 3D-reconstruction of branching neurons from EM data.
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

2011
Multi-Hypothesis CRF-Segmentation of Neural Tissue in Anisotropic EM Volumes
CoRR, 2011

Probabilistic image segmentation with closedness constraints.
Proceedings of the IEEE International Conference on Computer Vision, 2011

Globally Optimal Image Partitioning by Multicuts.
Proceedings of the Energy Minimazation Methods in Computer Vision and Pattern Recognition, 2011

2010
How to Extract the Geometry and Topology from Very Large 3D Segmentations
CoRR, 2010

The Lazy Flipper: MAP Inference in Higher-Order Graphical Models by Depth-limited Exhaustive Search
CoRR, 2010

Runtime-Flexible Multi-dimensional Arrays and Views for C++98 and C++0x
CoRR, 2010

Geometric Analysis of 3D Electron Microscopy Data.
Proceedings of the Applications of Discrete Geometry and Mathematical Morphology, 2010

An Empirical Comparison of Inference Algorithms for Graphical Models with Higher Order Factors Using OpenGM.
Proceedings of the Pattern Recognition, 2010

2009
Quantitative Assessment of Image Segmentation Quality by Random Walk Relaxation Times.
Proceedings of the Pattern Recognition, 2009

2008
Segmentation of SBFSEM Volume Data of Neural Tissue by Hierarchical Classification.
Proceedings of the Pattern Recognition, 2008

On errors-in-variables regression with arbitrary covariance and its application to optical flow estimation.
Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

2007
Selection of Local Optical Flow Models by Means of Residual Analysis.
Proceedings of the Pattern Recognition, 2007


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