Carsten Rother

Affiliations:
  • Microsoft Research


According to our database1, Carsten Rother authored at least 204 papers between 1999 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Online presence:

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Bibliography

2024
BOP Challenge 2023 on Detection, Segmentation and Pose Estimation of Seen and Unseen Rigid Objects.
CoRR, 2024

Discrete Cycle-Consistency Based Unsupervised Deep Graph Matching.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Correction: Spatio-Temporal Outdoor Lighting Aggregation on Image Sequences Using Transformer Networks.
Int. J. Comput. Vis., May, 2023

Spatio-Temporal Outdoor Lighting Aggregation on Image Sequences Using Transformer Networks.
Int. J. Comput. Vis., April, 2023

ControlNet-XS: Designing an Efficient and Effective Architecture for Controlling Text-to-Image Diffusion Models.
CoRR, 2023

Unsupervised Deep Graph Matching Based on Cycle Consistency.
CoRR, 2023

Finding Competence Regions in Domain Generalization.
CoRR, 2023

BOP Challenge 2022 on Detection, Segmentation and Pose Estimation of Specific Rigid Objects.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Visual Camera Re-Localization From RGB and RGB-D Images Using DSAC.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Exoplanet Characterization using Conditional Invertible Neural Networks.
CoRR, 2022

A Comparative Study of Graph Matching Algorithms in Computer Vision.
Proceedings of the Computer Vision - ECCV 2022, 2022

Towards Multimodal Depth Estimation from Light Fields.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Neural Head Avatars from Monocular RGB Videos.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Benchmarking the Robustness of Semantic Segmentation Models with Respect to Common Corruptions.
Int. J. Comput. Vis., 2021

Benchmarking Invertible Architectures on Inverse Problems.
CoRR, 2021

Self-Supervised Object Detection via Generative Image Synthesis.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Fusion Moves for Graph Matching.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

On the Limits of Pseudo Ground Truth in Visual Camera Re-localisation.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Learning Robust Models Using the Principle of Independent Causal Mechanisms.
Proceedings of the Pattern Recognition - 43rd DAGM German Conference, DAGM GCPR 2021, Bonn, Germany, September 28, 2021

Spatiotemporal Outdoor Lighting Aggregation on Image Sequences.
Proceedings of the Pattern Recognition - 43rd DAGM German Conference, DAGM GCPR 2021, Bonn, Germany, September 28, 2021

Generative Classifiers as a Basis for Trustworthy Image Classification.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Invertible Neural Networks for Uncertainty Quantification in Photoacoustic Imaging.
Proceedings of the Bildverarbeitung für die Medizin 2021, 2021

2020
Representing Ambiguity in Registration Problems with Conditional Invertible Neural Networks.
CoRR, 2020

Increasing the Robustness of Semantic Segmentation Models with Painting-by-Numbers.
CoRR, 2020

Generative Classifiers as a Basis for Trustworthy Computer Vision.
CoRR, 2020

Intrinsic Autoencoders for Joint Neural Rendering and Intrinsic Image Decomposition.
CoRR, 2020

Split-Merge Pooling.
CoRR, 2020

Exact Information Bottleneck with Invertible Neural Networks: Getting the Best of Discriminative and Generative Modeling.
CoRR, 2020

Training Normalizing Flows with the Information Bottleneck for Competitive Generative Classification.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Disentanglement by Nonlinear ICA with General Incompressible-flow Networks (GIN).
Proceedings of the 8th International Conference on Learning Representations, 2020

Increasing the Robustness of Semantic Segmentation Models with Painting-by-Numbers.
Proceedings of the Computer Vision - ECCV 2020, 2020

BOP Challenge 2020 on 6D Object Localization.
Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

Conditional Invertible Neural Networks for Diverse Image-to-Image Translation.
Proceedings of the Pattern Recognition - 42nd DAGM German Conference, DAGM GCPR 2020, Tübingen, Germany, September 28, 2020

Mind the Gap - A Benchmark for Dense Depth Prediction Beyond Lidar.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Self-Supervised Viewpoint Learning From Image Collections.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

CONSAC: Robust Multi-Model Fitting by Conditional Sample Consensus.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Benchmarking the Robustness of Semantic Segmentation Models.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Reinforced Feature Points: Optimizing Feature Detection and Description for a High-Level Task.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Taxonomy of Dual Block-Coordinate Ascent Methods for Discrete Energy Minimization.
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

A Primal-Dual Solver for Large-Scale Tracking-by-Assignment.
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

Intrinsic Autoencoders for Joint Deferred Neural Rendering and Intrinsic Image Decomposition.
Proceedings of the 8th International Conference on 3D Vision, 2020

2019
Guided Image Generation with Conditional Invertible Neural Networks.
CoRR, 2019

HINT: Hierarchical Invertible Neural Transport for General and Sequential Bayesian inference.
CoRR, 2019

Uncertainty-aware performance assessment of optical imaging modalities with invertible neural networks.
Int. J. Comput. Assist. Radiol. Surg., 2019

Out of Distribution Detection for Intra-operative Functional Imaging.
Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging and Clinical Image-Based Procedures, 2019

Analyzing Inverse Problems with Invertible Neural Networks.
Proceedings of the 7th International Conference on Learning Representations, 2019

Expert Sample Consensus Applied to Camera Re-Localization.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Neural-Guided RANSAC: Learning Where to Sample Model Hypotheses.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Localizing Common Objects Using Common Component Activation Map.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

Panoptic Segmentation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Learning to Think Outside the Box: Wide-Baseline Light Field Depth Estimation with EPI-Shift.
Proceedings of the 2019 International Conference on 3D Vision, 2019

2018
Conditional Random Fields Meet Deep Neural Networks for Semantic Segmentation: Combining Probabilistic Graphical Models with Deep Learning for Structured Prediction.
IEEE Signal Process. Mag., 2018

Augmented Reality Meets Computer Vision: Efficient Data Generation for Urban Driving Scenes.
Int. J. Comput. Vis., 2018

Analyzing Inverse Problems with Invertible Neural Networks.
CoRR, 2018

MPLP++: Fast, Parallel Dual Block-Coordinate Ascent for Dense Graphical Models.
Proceedings of the Computer Vision - ECCV 2018, 2018


A Summary of the 4th International Workshop on Recovering 6D Object Pose.
Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

Trust Your Model: Light Field Depth Estimation With Inline Occlusion Handling.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Learning Less Is More - 6D Camera Localization via 3D Surface Regression.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

CEREALS - Cost-Effective REgion-based Active Learning for Semantic Segmentation.
Proceedings of the British Machine Vision Conference 2018, 2018

Deep Object Co-segmentation.
Proceedings of the Computer Vision - ACCV 2018, 2018

iPose: Instance-Aware 6D Pose Estimation of Partly Occluded Objects.
Proceedings of the Computer Vision - ACCV 2018, 2018

Geometric Image Synthesis.
Proceedings of the Computer Vision - ACCV 2018, 2018

2017
The Best of Both Worlds: Learning Geometry-based 6D Object Pose Estimation.
CoRR, 2017

Semantic-Aware Image Smoothing.
Proceedings of the 22nd International Symposium on Vision, Modeling, and Visualization, 2017

Detecting unexpected obstacles for self-driving cars: Fusing deep learning and geometric modeling.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2017

Crowd sourcing image segmentation with iaSTAPLE.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

Random forests versus Neural Networks - What's best for camera localization?
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

Analyzing modular CNN architectures for joint depth prediction and semantic segmentation.
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

Learning to Push the Limits of Efficient FFT-Based Image Deconvolution.
Proceedings of the IEEE International Conference on Computer Vision, 2017

Bounding Boxes, Segmentations and Object Coordinates: How Important is Recognition for 3D Scene Flow Estimation in Autonomous Driving Scenarios?
Proceedings of the IEEE International Conference on Computer Vision, 2017

A Study of Lagrangean Decompositions and Dual Ascent Solvers for Graph Matching.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Global Hypothesis Generation for 6D Object Pose Estimation.
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

PoseAgent: Budget-Constrained 6D Object Pose Estimation via Reinforcement Learning.
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

DSAC - Differentiable RANSAC for Camera Localization.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Augmented Reality meets Deep Learning.
Proceedings of the British Machine Vision Conference 2017, 2017

2016
Cascades of Regression Tree Fields for Image Restoration.
IEEE Trans. Pattern Anal. Mach. Intell., 2016

Implicit Modeling - A Generalization of Discriminative and Generative Approaches.
CoRR, 2016

Random Forests versus Neural Networks - What's Best for Camera Relocalization?
CoRR, 2016

Joint M-Best-Diverse Labelings as a Parametric Submodular Minimization.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Lost and Found: detecting small road hazards for self-driving vehicles.
Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016

Stereo Video Deblurring.
Proceedings of the Computer Vision - ECCV 2016, 2016

Can Ground Truth Label Propagation from Video Help Semantic Segmentation?
Proceedings of the Computer Vision - ECCV 2016 Workshops, 2016

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

Uncertainty-Driven 6D Pose Estimation of Objects and Scenes from a Single RGB Image.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Smart Ubiquitous Projection: Discovering Surfaces for the Projection of Adaptive Content.
Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems, 2016

Mapping Auto-context Decision Forests to Deep ConvNets for Semantic Segmentation.
Proceedings of the British Machine Vision Conference 2016, 2016

Joint Training of Generic CNN-CRF Models with Stochastic Optimization.
Proceedings of the Computer Vision - ACCV 2016, 2016

2015
A Comparative Study of Modern Inference Techniques for Structured Discrete Energy Minimization Problems.
Int. J. Comput. Vis., 2015

Relating Cascaded Random Forests to Deep Convolutional Neural Networks for Semantic Segmentation.
CoRR, 2015

Efficient Likelihood Learning of a Generic CNN-CRF Model for Semantic Segmentation.
CoRR, 2015

DenseCut: Densely Connected CRFs for Realtime GrabCut.
Comput. Graph. Forum, 2015

Interleaved Regression Tree Field Cascades for Blind Image Deconvolution.
Proceedings of the 2015 IEEE Winter Conference on Applications of Computer Vision, 2015

M-Best-Diverse Labelings for Submodular Energies and Beyond.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Semantic 3-D Labeling of Ear Implants Using a Global Parametric Transition Prior.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015

Uncertainty-Driven Forest Predictors for Vertebra Localization and Segmentation.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015

Reflection Modeling for Passive Stereo.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Learning Analysis-by-Synthesis for 6D Pose Estimation in RGB-D Images.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Inferring M-Best Diverse Labelings in a Single One.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

GraphFlow - 6D Large Displacement Scene Flow via Graph Matching.
Proceedings of the Pattern Recognition - 37th German Conference, 2015

Object Proposals Estimation in Depth Image Using Compact 3D Shape Manifolds.
Proceedings of the Pattern Recognition - 37th German Conference, 2015

Pose Estimation of Kinematic Chain Instances via Object Coordinate Regression.
Proceedings of the British Machine Vision Conference 2015, 2015

Performance Evaluation of LiDAR Point Clouds towards Automated FOD Detection on Airport Aprons.
Proceedings of the 5th International Conference on Application and Theory of Automation in Command and Control Systems, 2015

2014
Learning discriminative localization from weakly labeled data.
Pattern Recognit., 2014

PMBP: PatchMatch Belief Propagation for Correspondence Field Estimation.
Int. J. Comput. Vis., 2014

Active Graph Matching for Automatic Joint Segmentation and Annotation of C. elegans.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014

Non-parametric Higher-Order Random Fields for Image Segmentation.
Proceedings of the Computer Vision - ECCV 2014, 2014

Highly Overparameterized Optical Flow Using PatchMatch Belief Propagation.
Proceedings of the Computer Vision - ECCV 2014, 2014

Learning 6D Object Pose Estimation Using 3D Object Coordinates.
Proceedings of the Computer Vision - ECCV 2014, 2014

Dense Semantic Image Segmentation with Objects and Attributes.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

SphereFlow: 6 DoF Scene Flow from RGB-D Pairs.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

Optimal Joint Segmentation and Tracking of Escherichia Coli in the Mother Machine.
Proceedings of the Bayesian and grAphical Models for Biomedical Imaging, 2014

6-DOF Model Based Tracking via Object Coordinate Regression.
Proceedings of the Computer Vision - ACCV 2014, 2014

2013
A Dual Decomposition Approach to Feature Correspondence.
IEEE Trans. Pattern Anal. Mach. Intell., 2013

Fast Cost-Volume Filtering for Visual Correspondence and Beyond.
IEEE Trans. Pattern Anal. Mach. Intell., 2013

Higher Order Priors for Joint Intrinsic Image, Objects, and Attributes Estimation.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Learning Convex QP Relaxations for Structured Prediction.
Proceedings of the 30th International Conference on Machine Learning, 2013

Discriminative Non-blind Deblurring.
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

Depth Super Resolution by Rigid Body Self-Similarity in 3D.
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

2012
Branch-and-Mincut: Global Optimization for Image Segmentation with High-Level Priors.
J. Math. Imaging Vis., 2012

User-Centric Learning and Evaluation of Interactive Segmentation Systems.
Int. J. Comput. Vis., 2012

Loss-Specific Training of Non-Parametric Image Restoration Models: A New State of the Art.
Proceedings of the Computer Vision - ECCV 2012, 2012

Extracting 3D Scene-Consistent Object Proposals and Depth from Stereo Images.
Proceedings of the Computer Vision - ECCV 2012, 2012

Curvature Prior for MRF-Based Segmentation and Shape Inpainting.
Proceedings of the Pattern Recognition, 2012

Regression Tree Fields - An efficient, non-parametric approach to image labeling problems.
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

Alpha-Flow for Video Matting.
Proceedings of the Computer Vision - ACCV 2012, 2012

2011
Recovering Intrinsic Images with a Global Sparsity Prior on Reflectance.
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

REal-time local stereo matching using guided image filtering.
Proceedings of the 2011 IEEE International Conference on Multimedia and Expo, 2011

Decision tree fields.
Proceedings of the IEEE International Conference on Computer Vision, 2011

Putting MAP Back on the Map.
Proceedings of the Pattern Recognition - 33rd DAGM Symposium, Frankfurt/Main, Germany, August 31, 2011

Object cosegmentation.
Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

A global sampling method for alpha matting.
Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

Object stereo - Joint stereo matching and object segmentation.
Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

Transforming Image Completion.
Proceedings of the British Machine Vision Conference, 2011

PatchMatch Stereo - Stereo Matching with Slanted Support Windows.
Proceedings of the British Machine Vision Conference, 2011

2010
Geodesic image and video editing.
ACM Trans. Graph., 2010

Fusion Moves for Markov Random Field Optimization.
IEEE Trans. Pattern Anal. Mach. Intell., 2010

Learning an interactive segmentation system.
Proceedings of the Seventh Indian Conference on Computer Vision, 2010

Cosegmentation Revisited: Models and Optimization.
Proceedings of the Computer Vision, 2010

Visibility Maps for Improving Seam Carving.
Proceedings of the Trends and Topics in Computer Vision, 2010

Scene Carving: Scene Consistent Image Retargeting.
Proceedings of the Computer Vision, 2010

TriangleFlow: Optical Flow with Triangulation-Based Higher-Order Likelihoods.
Proceedings of the Computer Vision, 2010

Silhouette-Based Variational Methods for Single View Reconstruction.
Proceedings of the Video Processing and Computational Video, 2010

Uncertainty Driven Multi-scale Optimization.
Proceedings of the Pattern Recognition, 2010

A spatially varying PSF-based prior for alpha matting.
Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

Geodesic star convexity for interactive image segmentation.
Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

Surface stereo with soft segmentation.
Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

Image-Based 3D Modeling via Cheeger Sets.
Proceedings of the Computer Vision - ACCV 2010, 2010

2009
TextonBoost for Image Understanding: Multi-Class Object Recognition and Segmentation by Jointly Modeling Texture, Layout, and Context.
Int. J. Comput. Vis., 2009

Learning an Interactive Segmentation System
CoRR, 2009

A global perspective on MAP inference for low-level vision.
Proceedings of the IEEE 12th International Conference on Computer Vision, ICCV 2009, Kyoto, Japan, September 27, 2009

Joint optimization of segmentation and appearance models.
Proceedings of the IEEE 12th International Conference on Computer Vision, ICCV 2009, Kyoto, Japan, September 27, 2009

Weakly supervised discriminative localization and classification: a joint learning process.
Proceedings of the IEEE 12th International Conference on Computer Vision, ICCV 2009, Kyoto, Japan, September 27, 2009

Image segmentation with a bounding box prior.
Proceedings of the IEEE 12th International Conference on Computer Vision, ICCV 2009, Kyoto, Japan, September 27, 2009

3D-aware image editing for out of bounds photography.
Proceedings of the Graphics Interface 2009 Conference, 2009

New appearance models for natural image matting.
Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

Minimizing sparse higher order energy functions of discrete variables.
Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

A perceptually motivated online benchmark for image matting.
Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

A stereo approach that handles the matting problem via image warping.
Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

2008
Unwrap mosaics: a new representation for video editing.
ACM Trans. Graph., 2008

A Comparative Study of Energy Minimization Methods for Markov Random Fields with Smoothness-Based Priors.
IEEE Trans. Pattern Anal. Mach. Intell., 2008

Probabilistic Fusion of Stereo with Color and Contrast for Bi-Layer Segmentation.
Int. J. Comput. Vis., 2008

On partial optimality in multi-label MRFs.
Proceedings of the Machine Learning, 2008

Feature Correspondence Via Graph Matching: Models and Global Optimization.
Proceedings of the Computer Vision, 2008

Image Segmentation by Branch-and-Mincut.
Proceedings of the Computer Vision, 2008

Discrete-Continuous Optimization for Optical Flow Estimation.
Proceedings of the Statistical and Geometrical Approaches to Visual Motion Analysis, 2008

Graph cut based image segmentation with connectivity priors.
Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

High resolution matting via interactive trimap segmentation.
Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

FusionFlow: Discrete-continuous optimization for optical flow estimation.
Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

Bayesian color constancy revisited.
Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

Improving Color Modeling for Alpha Matting.
Proceedings of the British Machine Vision Conference 2008, Leeds, UK, September 2008, 2008

2007
Photo clip art.
ACM Trans. Graph., 2007

Minimizing Nonsubmodular Functions with Graph Cuts-A Review.
IEEE Trans. Pattern Anal. Mach. Intell., 2007

Efficient Dense Stereo with Occlusions for New View-Synthesis by Four-State Dynamic Programming.
Int. J. Comput. Vis., 2007

LogCut - Efficient Graph Cut Optimization for Markov Random Fields.
Proceedings of the IEEE 11th International Conference on Computer Vision, 2007

Applications of parametric maxflow in computer vision.
Proceedings of the IEEE 11th International Conference on Computer Vision, 2007

Optimizing Binary MRFs via Extended Roof Duality.
Proceedings of the 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), 2007

3D LayoutCRF for Multi-View Object Class Recognition and Segmentation.
Proceedings of the 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), 2007

Do life-logging technologies support memory for the past?: an experimental study using sensecam.
Proceedings of the 2007 Conference on Human Factors in Computing Systems, 2007

2006
AutoCollage.
ACM Trans. Graph., 2006

Probabilistic Fusion of Stereo with Color and Contrast for Bilayer Segmentation.
IEEE Trans. Pattern Anal. Mach. Intell., 2006

Clustering appearance and shape by learning jigsaws.
Proceedings of the Advances in Neural Information Processing Systems 19, 2006

A Comparative Study of Energy Minimization Methods for Markov Random Fields.
Proceedings of the Computer Vision, 2006

<i>TextonBoost</i>: Joint Appearance, Shape and Context Modeling for Multi-class Object Recognition and Segmentation.
Proceedings of the Computer Vision, 2006

Comparison of Energy Minimization Algorithms for Highly Connected Graphs.
Proceedings of the Computer Vision, 2006

Cosegmentation of Image Pairs by Histogram Matching - Incorporating a Global Constraint into MRFs.
Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2006), 2006

Understanding photowork.
Proceedings of the 2006 Conference on Human Factors in Computing Systems, 2006

2005
Fusion of Stereo, Colour and Contrast.
Proceedings of the Robotics Research: Results of the 12th International Symposium, 2005

Digital Tapestry.
Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2005), 2005

Bi-Layer Segmentation of Binocular Stereo Video.
Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2005), 2005

2004
"GrabCut": interactive foreground extraction using iterated graph cuts.
ACM Trans. Graph., 2004

Interactive Image Segmentation Using an Adaptive GMMRF Model.
Proceedings of the Computer Vision, 2004

2003
Multi-View Reconstruction and Camera Recovery using a Real or Virtual Reference Plane.
PhD thesis, 2003

Linear Multi-View Reconstruction of Points, Lines, Planes and Cameras using a Reference Plane.
Proceedings of the 9th IEEE International Conference on Computer Vision (ICCV 2003), 2003

2002
A new approach to vanishing point detection in architectural environments.
Image Vis. Comput., 2002

Linear Multi View Reconstruction and Camera Recovery Using a Reference Plane.
Int. J. Comput. Vis., 2002

Projective Factorization of Planes and Cameras in Multiple Views.
Proceedings of the 16th International Conference on Pattern Recognition, 2002

Linear Multi View Reconstruction with Missing Data.
Proceedings of the Computer Vision, 2002

2001
Linear Multi View Reconstruction and Camera Recovery.
Proceedings of the Eighth International Conference On Computer Vision (ICCV-01), Vancouver, British Columbia, Canada, July 7-14, 2001, 2001

2000
A New Approach for Vanishing Point Detection in Architectural Environments.
Proceedings of the British Machine Vision Conference 2000, 2000

1999
Analyse initialer Positionsschätzungen bei der Bildfolgenauswertung.
Proceedings of the Mustererkennung 1999, 1999


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