Thomas Brox

According to our database1, Thomas Brox authored at least 217 papers between 2002 and 2019.

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Bibliography

2019
Non-smooth Non-convex Bregman Minimization: Unification and New Algorithms.
J. Optimization Theory and Applications, 2019

Lucid Data Dreaming for Video Object Segmentation.
International Journal of Computer Vision, 2019

DeepUSPS: Deep Robust Unsupervised Saliency Prediction With Self-Supervision.
CoRR, 2019

Understanding and Robustifying Differentiable Architecture Search.
CoRR, 2019

FreiHAND: A Dataset for Markerless Capture of Hand Pose and Shape from Single RGB Images.
CoRR, 2019

Semi-Supervised Semantic Segmentation with High- and Low-level Consistency.
CoRR, 2019

Group Pruning using a Bounded-Lp norm for Group Gating and Regularization.
CoRR, 2019

Overcoming Limitations of Mixture Density Networks: A Sampling and Fitting Framework for Multimodal Future Prediction.
CoRR, 2019

Robust Learning Under Label Noise With Iterative Noise-Filtering.
CoRR, 2019

AutoDispNet: Improving Disparity Estimation with AutoML.
CoRR, 2019

What Do Single-view 3D Reconstruction Networks Learn?
CoRR, 2019

Learning Representations for Predicting Future Activities.
CoRR, 2019

MAIN: Multi-Attention Instance Network for Video Segmentation.
CoRR, 2019

CAM-Convs: Camera-Aware Multi-Scale Convolutions for Single-View Depth.
CoRR, 2019

CrossNorm: Normalization for Off-Policy TD Reinforcement Learning.
CoRR, 2019

Motion Perception in Reinforcement Learning with Dynamic Objects.
CoRR, 2019

Anomaly Detection With Multiple-Hypotheses Predictions.
Proceedings of the 36th International Conference on Machine Learning, 2019

2018
Efficient and robust deep networks for semantic segmentation.
I. J. Robotics Res., 2018

Artistic Style Transfer for Videos and Spherical Images.
International Journal of Computer Vision, 2018

What Makes Good Synthetic Training Data for Learning Disparity and Optical Flow Estimation?
International Journal of Computer Vision, 2018

Defending against Universal Perturbations with Shared Adversarial Training.
CoRR, 2018

Consistency-based anomaly detection with adaptive multiple-hypotheses predictions.
CoRR, 2018

FusionNet and AugmentedFlowNet: Selective Proxy Ground Truth for Training on Unlabeled Images.
CoRR, 2018

DeepTAM: Deep Tracking and Mapping.
CoRR, 2018

Occlusions, Motion and Depth Boundaries with a Generic Network for Disparity, Optical Flow or Scene Flow Estimation.
CoRR, 2018

TD or not TD: Analyzing the Role of Temporal Differencing in Deep Reinforcement Learning.
CoRR, 2018

ECO: Efficient Convolutional Network for Online Video Understanding.
CoRR, 2018

TrimBot2020: an outdoor robot for automatic gardening.
CoRR, 2018

3D Human Pose Estimation in RGBD Images for Robotic Task Learning.
CoRR, 2018

Uncertainty Estimates for Optical Flow with Multi-Hypotheses Networks.
CoRR, 2018

What Makes Good Synthetic Training Data for Learning Disparity and Optical Flow Estimation?
CoRR, 2018

Box2Pix: Single-Shot Instance Segmentation by Assigning Pixels to Object Boxes.
Proceedings of the 2018 IEEE Intelligent Vehicles Symposium, 2018

3D Human Pose Estimation in RGBD Images for Robotic Task Learning.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

DPDB-Net: Exploiting Dense Connections for Convolutional Encoders.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

TD or not TD: Analyzing the Role of Temporal Differencing in Deep Reinforcement Learning.
Proceedings of the 6th International Conference on Learning Representations, 2018

ECO: Efficient Convolutional Network for Online Video Understanding.
Proceedings of the Computer Vision - ECCV 2018, 2018

DeepTAM: Deep Tracking and Mapping.
Proceedings of the Computer Vision - ECCV 2018, 2018

The Second Workshop on 3D Reconstruction Meets Semantics: Challenge Results Discussion.
Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

Temporally Consistent Depth Estimation in Videos with Recurrent Architectures.
Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

Occlusions, Motion and Depth Boundaries with a Generic Network for Disparity, Optical Flow or Scene Flow Estimation.
Proceedings of the Computer Vision - ECCV 2018, 2018

Uncertainty Estimates and Multi-hypotheses Networks for Optical Flow.
Proceedings of the Computer Vision - ECCV 2018, 2018

Motion Perception in Reinforcement Learning with Dynamic Objects.
Proceedings of the 2nd Annual Conference on Robot Learning, 2018

2017
Learning to Generate Chairs, Tables and Cars with Convolutional Networks.
IEEE Trans. Pattern Anal. Mach. Intell., 2017

Global, Dense Multiscale Reconstruction for a Billion Points.
International Journal of Computer Vision, 2017

Spatiotemporal Deformable Prototypes for Motion Anomaly Detection.
International Journal of Computer Vision, 2017

Sparsity Invariant CNNs.
CoRR, 2017

Artistic style transfer for videos and spherical images.
CoRR, 2017

Chained Multi-stream Networks Exploiting Pose, Motion, and Appearance for Action Classification and Detection.
CoRR, 2017

Learning to Estimate 3D Hand Pose from Single RGB Images.
CoRR, 2017

Octree Generating Networks: Efficient Convolutional Architectures for High-resolution 3D Outputs.
CoRR, 2017

Topometric Localization with Deep Learning.
CoRR, 2017

Non-smooth Non-convex Bregman Minimization: Unification and new Algorithms.
CoRR, 2017

Universal Adversarial Perturbations Against Semantic Image Segmentation.
CoRR, 2017

End-to-End Learning of Video Super-Resolution with Motion Compensation.
CoRR, 2017

Lucid Data Dreaming for Object Tracking.
CoRR, 2017

Adversarial Examples for Semantic Image Segmentation.
CoRR, 2017

Semantics-aware visual localization under challenging perceptual conditions.
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

Adversarial Examples for Semantic Image Segmentation.
Proceedings of the 5th International Conference on Learning Representations, 2017

Chained Multi-stream Networks Exploiting Pose, Motion, and Appearance for Action Classification and Detection.
Proceedings of the IEEE International Conference on Computer Vision, 2017

Learning to Estimate 3D Hand Pose from Single RGB Images.
Proceedings of the IEEE International Conference on Computer Vision, 2017

Octree Generating Networks: Efficient Convolutional Architectures for High-resolution 3D Outputs.
Proceedings of the IEEE International Conference on Computer Vision, 2017

Universal Adversarial Perturbations Against Semantic Image Segmentation.
Proceedings of the IEEE International Conference on Computer Vision, 2017

End-to-End Learning of Video Super-Resolution with Motion Compensation.
Proceedings of the Pattern Recognition - 39th German Conference, 2017

DeMoN: Depth and Motion Network for Learning Monocular Stereo.
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

FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Orientation-boosted Voxel Nets for 3D Object Recognition.
Proceedings of the British Machine Vision Conference 2017, 2017

Sparsity Invariant CNNs.
Proceedings of the 2017 International Conference on 3D Vision, 2017

2016
White Matter MS-Lesion Segmentation Using a Geometric Brain Model.
IEEE Trans. Med. Imaging, 2016

q-Space Deep Learning: Twelve-Fold Shorter and Model-Free Diffusion MRI Scans.
IEEE Trans. Med. Imaging, 2016

Discriminative Unsupervised Feature Learning with Exemplar Convolutional Neural Networks.
IEEE Trans. Pattern Anal. Mach. Intell., 2016

Techniques for Gradient-Based Bilevel Optimization with Non-smooth Lower Level Problems.
Journal of Mathematical Imaging and Vision, 2016

DeMoN: Depth and Motion Network for Learning Monocular Stereo.
CoRR, 2016

Pixel-level Encoding and Depth Layering for Instance-level Semantic Labeling.
CoRR, 2016

Artistic style transfer for videos.
CoRR, 2016

Synthesizing the preferred inputs for neurons in neural networks via deep generator networks.
CoRR, 2016

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

Point-wise mutual information-based video segmentation with high temporal consistency.
CoRR, 2016

FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks.
CoRR, 2016

Object Detection, Tracking, and Motion Segmentation for Object-level Video Segmentation.
CoRR, 2016

Generating Images with Perceptual Similarity Metrics based on Deep Networks.
CoRR, 2016

3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation.
CoRR, 2016

Orientation-boosted Voxel Nets for 3D Object Recognition.
CoRR, 2016

Synthesizing the preferred inputs for neurons in neural networks via deep generator networks.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Protein contact prediction from amino acid co-evolution using convolutional networks for graph-valued images.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Generating Images with Perceptual Similarity Metrics based on Deep Networks.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

Deep Multispectral Semantic Scene Understanding of Forested Environments Using Multimodal Fusion.
Proceedings of the International Symposium on Experimental Robotics, 2016

Efficient deep models for monocular road segmentation.
Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016

Deep learning for human part discovery in images.
Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016

Multi-view 3D Models from Single Images with a Convolutional Network.
Proceedings of the Computer Vision - ECCV 2016, 2016

Point-Wise Mutual Information-Based Video Segmentation with High Temporal Consistency.
Proceedings of the Computer Vision - ECCV 2016 Workshops, 2016

Pixel-Level Encoding and Depth Layering for Instance-Level Semantic Labeling.
Proceedings of the Pattern Recognition - 38th German Conference, 2016

Artistic Style Transfer for Videos.
Proceedings of the Pattern Recognition - 38th German Conference, 2016

A Large Dataset to Train Convolutional Networks for Disparity, Optical Flow, and Scene Flow Estimation.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Inverting Visual Representations with Convolutional Networks.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Towards A Multidimensional Perspective on Shared Autonomy.
Proceedings of the 2016 AAAI Fall Symposia, Arlington, Virginia, USA, November 17-19, 2016, 2016

Shape Distances for Binary Image Segmentation.
Proceedings of the Perspectives in Shape Analysis, 2016

Segmentation in Point Clouds from RGB-D Using Spectral Graph Reduction.
Proceedings of the Perspectives in Shape Analysis, 2016

2015
On Iteratively Reweighted Algorithms for Nonsmooth Nonconvex Optimization in Computer Vision.
SIAM J. Imaging Sciences, 2015

iPiasco: Inertial Proximal Algorithm for Strongly Convex Optimization.
Journal of Mathematical Imaging and Vision, 2015

Single-view to Multi-view: Reconstructing Unseen Views with a Convolutional Network.
CoRR, 2015

Striving for Simplicity: The All Convolutional Net.
Proceedings of the 3rd International Conference on Learning Representations, 2015

U-Net: Convolutional Networks for Biomedical Image Segmentation.
CoRR, 2015

A Large Dataset to Train Convolutional Networks for Disparity, Optical Flow, and Scene Flow Estimation.
CoRR, 2015

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

FlowNet: Learning Optical Flow with Convolutional Networks.
CoRR, 2015

Inverting Convolutional Networks with Convolutional Networks.
CoRR, 2015

Bilevel Optimization with Nonsmooth Lower Level Problems.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2015

U-Net: Convolutional Networks for Biomedical Image Segmentation.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015 - 18th International Conference Munich, Germany, October 5, 2015

q-Space Deep Learning for Twelve-Fold Shorter and Model-Free Diffusion MRI Scans.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015

Global, Dense Multiscale Reconstruction for a Billion Points.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Video Segmentation with Just a Few Strokes.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 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

FlowNet: Learning Optical Flow with Convolutional Networks.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Unsupervised Generation of a View Point Annotated Car Dataset from Videos.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Image Orientation Estimation with Convolutional Networks.
Proceedings of the Pattern Recognition - 37th German Conference, 2015

Learning to generate chairs with convolutional neural networks.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

Combinatorial Regularization of Descriptor Matching for Optical Flow Estimation.
Proceedings of the British Machine Vision Conference 2015, 2015

Spatiotemporal Deformable Prototypes for Motion Anomaly Detection.
Proceedings of the British Machine Vision Conference 2015, 2015

2014
Optical Flow.
Computer Vision, A Reference Guide, 2014

Maximum Likelihood Estimation.
Computer Vision, A Reference Guide, 2014

Diffusion Filtering.
Computer Vision, A Reference Guide, 2014

iPiano: Inertial Proximal Algorithm for Nonconvex Optimization.
SIAM J. Imaging Sciences, 2014

Segmentation of Moving Objects by Long Term Video Analysis.
IEEE Trans. Pattern Anal. Mach. Intell., 2014

Rotation-Invariant HOG Descriptors Using Fourier Analysis in Polar and Spherical Coordinates.
International Journal of Computer Vision, 2014

iPiano: Inertial Proximal Algorithm for Non-Convex Optimization.
CoRR, 2014

Discriminative Unsupervised Feature Learning with Convolutional Neural Networks.
CoRR, 2014

Learning to Generate Chairs with Convolutional Neural Networks.
CoRR, 2014

Unsupervised feature learning by augmenting single images.
Proceedings of the 2nd International Conference on Learning Representations, 2014

Discriminative Unsupervised Feature Learning with Convolutional Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Reconstruction of rigid body models from motion distorted laser range data using optical flow.
Proceedings of the 2014 IEEE International Conference on Robotics and Automation, 2014

Dense Semi-rigid Scene Flow Estimation from RGBD Images.
Proceedings of the Computer Vision - ECCV 2014, 2014

Training Deformable Object Models for Human Detection Based on Alignment and Clustering.
Proceedings of the Computer Vision - ECCV 2014, 2014

First International Workshop on Video Segmentation - Panel Discussion.
Proceedings of the Computer Vision - ECCV 2014 Workshops, 2014

Image Descriptors Based on Curvature Histograms.
Proceedings of the Pattern Recognition - 36th German Conference, 2014

Spectral Graph Reduction for Efficient Image and Streaming Video Segmentation.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

Motion Based Foreground Detection and Poselet Motion Features for Action Recognition.
Proceedings of the Computer Vision - ACCV 2014, 2014

2013
Point-Based 3D Reconstruction of Thin Objects.
Proceedings of the IEEE International Conference on Computer Vision, 2013

A Unified Video Segmentation Benchmark: Annotation, Metrics and Analysis.
Proceedings of the IEEE International Conference on Computer Vision, 2013

Discriminative Detection and Alignment in Volumetric Data.
Proceedings of the Pattern Recognition - 35th German Conference, 2013

Distances Based on Non-rigid Alignment for Comparison of Different Object Instances.
Proceedings of the Pattern Recognition - 35th German Conference, 2013

An Iterated L1 Algorithm for Non-smooth Non-convex Optimization in Computer Vision.
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

Blind Deconvolution of Widefield Fluorescence Microscopic Data by Regularization of the Optical Transfer Function (OTF).
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

2012
Multiview Deblurring for 3-D Images from Light-Sheet-Based Fluorescence Microscopy.
IEEE Trans. Image Processing, 2012

Fast Rotation Invariant 3D Feature Computation Utilizing Efficient Local Neighborhood Operators.
IEEE Trans. Pattern Anal. Mach. Intell., 2012

Fast Joint Estimation of Silhouettes and Dense 3D Geometry from Multiple Images.
IEEE Trans. Pattern Anal. Mach. Intell., 2012

Region-based pose tracking with occlusions using 3D models.
Mach. Vis. Appl., 2012

Blind deconvolution with PSF regularization for wide-field microscopy.
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012

Dense 3D Reconstruction with a Hand-Held Camera.
Proceedings of the Pattern Recognition, 2012

Hierarchy of Localized Random Forests for Video Annotation.
Proceedings of the Pattern Recognition, 2012

Higher order motion models and spectral clustering.
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

2011
Large Displacement Optical Flow: Descriptor Matching in Variational Motion Estimation.
IEEE Trans. Pattern Anal. Mach. Intell., 2011

Stereoscopic Scene Flow Computation for 3D Motion Understanding.
International Journal of Computer Vision, 2011

Hierarchical Markov Random Fields for mast cell segmentation in electron microscopic recordings.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

Object segmentation in video: A hierarchical variational approach for turning point trajectories into dense regions.
Proceedings of the IEEE International Conference on Computer Vision, 2011

Occlusion boundary detection and figure/ground assignment from optical flow.
Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

Object segmentation by alignment of poselet activations to image contours.
Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

2010
Combined Region and Motion-Based 3D Tracking of Rigid and Articulated Objects.
IEEE Trans. Pattern Anal. Mach. Intell., 2010

Colour, texture, and motion in level set based segmentation and tracking.
Image Vision Comput., 2010

Optimization and Filtering for Human Motion Capture.
International Journal of Computer Vision, 2010

Dense Point Trajectories by GPU-Accelerated Large Displacement Optical Flow.
Proceedings of the Computer Vision, 2010

Object Segmentation by Long Term Analysis of Point Trajectories.
Proceedings of the Computer Vision - ECCV 2010, 2010

Detecting People Using Mutually Consistent Poselet Activations.
Proceedings of the Computer Vision - ECCV 2010, 2010

2009
Continuous Global Optimization in Multiview 3D Reconstruction.
International Journal of Computer Vision, 2009

On Local Region Models and a Statistical Interpretation of the Piecewise Smooth Mumford-Shah Functional.
International Journal of Computer Vision, 2009

Localised Mixture Models in Region-Based Tracking.
Proceedings of the Pattern Recognition, 2009

Large displacement optical flow.
Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

2008
Efficient Nonlocal Means for Denoising of Textural Patterns.
IEEE Trans. Image Processing, 2008

Modeling and Tracking Line-Constrained Mechanical Systems.
Proceedings of the Robot Vision, Second International Workshop, 2008

Efficient Dense Scene Flow from Sparse or Dense Stereo Data.
Proceedings of the Computer Vision, 2008

An Evaluation Approach for Scene Flow with Decoupled Motion and Position.
Proceedings of the Statistical and Geometrical Approaches to Visual Motion Analysis, 2008

Staying Well Grounded in Markerless Motion Capture.
Proceedings of the Pattern Recognition, 2008

Markerless motion capture of man-machine interaction.
Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

Dealing with Self-occlusion in Region Based Motion Capture by Means of Internal Regions.
Proceedings of the Articulated Motion and Deformable Objects, 5th International Conference, 2008

2007
Three-Dimensional Shape Knowledge for Joint Image Segmentation and Pose Tracking.
International Journal of Computer Vision, 2007

On the Statistical Interpretation of the Piecewise Smooth Mumford-Shah Functional.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2007

Iterated Nonlocal Means for Texture Restoration.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2007

Region-Based Pose Tracking.
Proceedings of the Pattern Recognition and Image Analysis, Third Iberian Conference, 2007

Nonparametric Density Estimation with Adaptive, Anisotropic Kernels for Human Motion Tracking.
Proceedings of the Human Motion, 2007

Continuous Global Optimization in Multiview 3D Reconstruction.
Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2007

WarpCut - Fast Obstacle Segmentation in Monocular Video.
Proceedings of the Pattern Recognition, 2007

Occlusion Modeling by Tracking Multiple Objects.
Proceedings of the Pattern Recognition, 2007

Online Smoothing for Markerless Motion Capture.
Proceedings of the Pattern Recognition, 2007

Scaled Motion Dynamics for Markerless Motion Capture.
Proceedings of the 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), 2007

2006
Level Set Segmentation With Multiple Regions.
IEEE Trans. Image Processing, 2006

Numerical aspects of TV flow.
Numerical Algorithms, 2006

A TV flow based local scale estimate and its application to texture discrimination.
J. Visual Communication and Image Representation, 2006

Nonlinear structure tensors.
Image Vision Comput., 2006

Highly Accurate Optic Flow Computation with Theoretically Justified Warping.
International Journal of Computer Vision, 2006

A Comparison of Shape Matching Methods for Contour Based Pose Estimation.
Proceedings of the Combinatorial Image Analysis, 11th International Workshop, 2006

Learning for Multi-view 3D Tracking in the Context of Particle Filters.
Proceedings of the Advances in Visual Computing, Second International Symposium, 2006

High Accuracy Optical Flow Serves 3-D Pose Tracking: Exploiting Contour and Flow Based Constraints.
Proceedings of the Computer Vision, 2006

Variational Motion Segmentation with Level Sets.
Proceedings of the Computer Vision, 2006

Tracking Clothed People.
Proceedings of the Human Motion, Understanding, Modelling, Capture, and Animation [Dagstuhl Seminar, 11.06., 2006

Contours, Optic Flow, and Prior Knowledge: Cues for Capturing 3D Human Motion in Videos.
Proceedings of the Human Motion, Understanding, Modelling, Capture, and Animation [Dagstuhl Seminar, 11.06., 2006

Realtime Depth Estimation and Obstacle Detection from Monocular Video.
Proceedings of the Pattern Recognition, 2006

Robust Variational Segmentation of 3D Objects from Multiple Views.
Proceedings of the Pattern Recognition, 2006

Nonparametric Density Estimation for Human Pose Tracking.
Proceedings of the Pattern Recognition, 2006

Fully-Automated Analysis of Muscle Fiber Images with Combined Region and Edge-Based Active Contours.
Proceedings of the Bildverarbeitung für die Medizin 2006, Algorithmen, Systeme, Anwendungen, Proceedings des Workshops vom 19., 2006

PDEs for Tensor Image Processing.
Proceedings of the Visualization and Processing of Tensor Fields, 2006

Adaptive Structure Tensors and their Applications.
Proceedings of the Visualization and Processing of Tensor Fields, 2006

Diffusion Filters and Wavelets: What Can They Learn from Each Other?
Proceedings of the Handbook of Mathematical Models in Computer Vision, 2006

2005
Von Pixeln zu Regionen: partielle Differentialgleichungen in der Bildanalyse.
PhD thesis, 2005

PDE-Based Deconvolution with Forward-Backward Diffusivities and Diffusion Tensors.
Proceedings of the Scale Space and PDE Methods in Computer Vision, 2005

Stabilised Nonlinear Inverse Diffusion for Approximating Hyperbolic PDEs.
Proceedings of the Scale Space and PDE Methods in Computer Vision, 2005

A System for Marker-Less Human Motion Estimation.
Proceedings of the Pattern Recognition, 27th DAGM Symposium, Vienna, Austria, August 31, 2005

Three-Dimensional Shape Knowledge for Joint Image Segmentation and Pose Estimation.
Proceedings of the Pattern Recognition, 27th DAGM Symposium, Vienna, Austria, August 31, 2005

2004
On the Equivalence of Soft Wavelet Shrinkage, Total Variation Diffusion, Total Variation Regularization, and SIDEs.
SIAM J. Numerical Analysis, 2004

A TV Flow Based Local Scale Measure for Texture Discrimination.
Proceedings of the Computer Vision, 2004

High Accuracy Optical Flow Estimation Based on a Theory for Warping.
Proceedings of the Computer Vision, 2004

Level Set Based Image Segmentation with Multiple Regions.
Proceedings of the Pattern Recognition, 26th DAGM Symposium, August 30, 2004

2003
Equivalence Results for TV Diffusion and TV Regularisation.
Proceedings of the Scale Space Methods in Computer Vision, 4th International Conference, 2003

Active Unsupervised Texture Segmentation on a Diffusion Based Feature Space.
Proceedings of the 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2003), 2003

Unsupervised Segmentation Incorporating Colour, Texture, and Motion.
Proceedings of the Computer Analysis of Images and Patterns, 10th International Conference, 2003

2002
Nonlinear Matrix Diffusion for Optic Flow Estimation.
Proceedings of the Pattern Recognition, 2002


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