Andrés Bruhn

发表

PDE-Based Anisotropic Disparity-Driven Stereo Vision

Hans-Peter Seidel, Bodo Rosenhahn, Michael Breuß, 2008, VMV.

Variational Large Displacement Optical Flow Without Feature Matches

Andrés Bruhn, Michael Stoll, Daniel Maurer, 2017, EMMCVPR.

Dense versus Sparse Approaches for Estimating the Fundamental Matrix

Joachim Weickert, Andrés Bruhn, Levi Valgaerts, 2011, International Journal of Computer Vision.

Variational optical flow computation in real time

Timo Kohlberger, Joachim Weickert, Christoph Schnörr, 2005, IEEE Transactions on Image Processing.

Optic Flow Goes Stereo: A Variational Method for Estimating Discontinuity-Preserving Dense Disparity Maps

Joachim Weickert, Andrés Bruhn, Natalia Slesareva, 2005, DAGM-Symposium.

Technical Report on Visual Quality Assessment for Frame Interpolation pdf

Dietmar Saupe, Andrés Bruhn, Daniel Maurer, 2019, ArXiv.

Lightweight binocular facial performance capture under uncontrolled lighting

Hans-Peter Seidel, Christian Theobalt, Andrés Bruhn, 2012, ACM Trans. Graph..

Efficient Algorithms for Global Optimisation Methods in Computer Vision (Dagstuhl Seminar 11471)

Xue-Cheng Tai, Andrés Bruhn, Thomas Pock, 2011, Dagstuhl Reports.

Illumination-Aware Large Displacement Optical Flow

Andrés Bruhn, Michael Stoll, Daniel Maurer, 2017, EMMCVPR.

Complementary Optic Flow

Hans-Peter Seidel, Bodo Rosenhahn, Joachim Weickert, 2009, EMMCVPR.

Order-Adaptive Regularisation for Variational Optical Flow: Global, Local and in Between

Andrés Bruhn, Michael Stoll, Daniel Maurer, 2017, SSVM.

Universität Des Saarlandes Fachrichtung 6.1 – Mathematik Freehand Hdr Imaging of Moving Scenes with Simultaneous Resolution Enhancement Freehand Hdr Imaging of Moving Scenes with Simultaneous Resolution Enhancement Freehand Hdr Imaging of Moving Scenes with Simultaneous Resolution Enhancement

Joachim Weickert, Henning Zimmer, Andrés Bruhn, 2022 .

Universität Des Saarlandes Fachrichtung 6.1 – Mathematik Highly Accurate Optic Flow Computation with Theoretically Justified Warping Highly Accurate Optic Flow Computation with Theoretically Justified Warping

Thomas Brox, Joachim Weickert, Stephan Didas, 2022 .

A Comparison of Isotropic and Anisotropic Second Order Regularisers for Optical Flow

Andrés Bruhn, Michael Stoll, Daniel Maurer, 2017, SSVM.

Order-Adaptive and Illumination-Aware Variational Optical Flow Refinement

Andrés Bruhn, Michael Stoll, Daniel Maurer, 2017, BMVC.

Anisotropic Range Image Integration

Joachim Weickert, Henning Zimmer, Andrés Bruhn, 2012, DAGM/OAGM Symposium.

Variational Perspective Shape from Shading

Michael Breuß, Andrés Bruhn, Yong Chul Ju, 2015, SSVM.

Variational optic flow on the Sony PlayStation 3

Joachim Weickert, Andrés Bruhn, Pascal Gwosdek, 2010, Journal of Real-Time Image Processing.

Illumination-Robust Variational Optical Flow with Photometric Invariants

Joachim Weickert, Andrés Bruhn, Yana Momchilova Mileva, 2007, DAGM-Symposium.

Robust Variational Reconstruction from Multiple Views

Hans-Peter Seidel, Kai Uwe Hagenburg, Joachim Weickert, 2007, SCIA.

Joint trilateral filtering for multiframe optical flow

Andrés Bruhn, Michael Stoll, Sebastian Volz, 2013, 2013 IEEE International Conference on Image Processing.

Beating the Quality of JPEG 2000 with Anisotropic Diffusion

Joachim Weickert, Andrés Bruhn, Christian Schmaltz, 2009, DAGM-Symposium.

Towards PDE-Based Image Compression

Hans-Peter Seidel, Joachim Weickert, Martin Welk, 2005, VLSM.

Designing 3-D Nonlinear Diffusion Filters for High Performance Cluster Computing

Timo Kohlberger, Joachim Weickert, Christoph Schnörr, 2002, DAGM-Symposium.

Parallel Variational Motion Estimation by Domain Decomposition and Cluster Computing

Timo Kohlberger, Joachim Weickert, Christoph Schnörr, 2004, ECCV.

Morphology for matrix data: Ordering versus PDE-based approach

Joachim Weickert, Martin Welk, Bernhard Burgeth, 2007, Image Vis. Comput..

Low Level Parallelization of Nonlinear Diffusion Filtering Algorithms for Cluster Computing Environments

Joachim Weickert, Andrés Bruhn, Ulrich Brüning, 2003, Euro-Par.

Directional Priors for Multi-Frame Optical Flow

Andrés Bruhn, Michael Stoll, Daniel Maurer, 2018, BMVC.

High Performance Parallel Optical Flow Algorithms on the Sony Playstation 3

Joachim Weickert, Andrés Bruhn, Pascal Gwosdek, 2008, VMV.

Generalised Perspective Shape from Shading with Oren-Nayar Reflectance

Michael Breuß, Andreas Kleefeld, Andrés Bruhn, 2013, BMVC.

Direct Shape-from-Shading with Adaptive Higher Order Regularisation

Oliver Vogel, Joachim Weickert, Stephan Didas, 2007, SSVM.

Variationelle optische Flussberechnung - präzise Modellierung und effziente Numerik

Andrés Bruhn, 2006 .

Joint Estimation of Motion, Structure and Geometry from Stereo Sequences

Joachim Weickert, Christian Theobalt, Carsten Stoll, 2010, ECCV.

Cyclic Schemes for PDE-Based Image Analysis

Joachim Weickert, Andrés Bruhn, Sven Grewenig, 2016, International Journal of Computer Vision.

Beauty with Variational Methods: An Optic Flow Approach to Hairstyle Simulation

Joachim Weickert, Martin Welk, Andrés Bruhn, 2007, SSVM.

Lucas/Kanade Meets Horn/Schunck: Combining Local and Global Optic Flow Methods

Joachim Weickert, Christoph Schnörr, Andrés Bruhn, 2005, International Journal of Computer Vision.

Variationsansätze zur Bewegungsschätzung: Präzise Modellierung und Effiziente Numerik

Andrés Bruhn, 2006, Ausgezeichnete Informatikdissertationen.

Towards ultimate motion estimation: combining highest accuracy with real-time performance

Joachim Weickert, Andrés Bruhn, J. Weickert, 2005, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1.

Universität Des Saarlandes Fachrichtung 6.1 – Mathematik Edge-based Compression of Cartoon-like Images with Homogeneous Diffusion Edge-based Compression of Cartoon-like Images with Homogeneous Diffusion Edge-based Compression of Cartoon-like Images with Homogeneous Diffusion

Joachim Weickert, Andrés Bruhn, Søren Forchhammer, 2022 .

A Multigrid Platform for Real-Time Motion Computation with Discontinuity-Preserving Variational Methods

Timo Kohlberger, Joachim Weickert, Christoph Schnörr, 2006, International Journal of Computer Vision.

Motion Compensated Frame Interpolation with a Symmetric Optical Flow Constraint

Joachim Weickert, Andrés Bruhn, Lars Lau Rakêt, 2012, ISVC.

A Highly Efficient GPU Implementation for Variational Optic Flow Based on the Euler-Lagrange Framework

Joachim Weickert, Henning Zimmer, Andrés Bruhn, 2010, ECCV Workshops.

Understanding, Optimising, and Extending Data Compression with Anisotropic Diffusion

Joachim Weickert, Pascal Peter, Andrés Bruhn, 2014, International Journal of Computer Vision.

FlowBrush: optical flow art

Daniel Weiskopf, Andrés Bruhn, Michael Stoll, 2017, CAE '17.

Combining Shape from Shading and Stereo: A Joint Variational Method for Estimating Depth, Illumination and Albedo

Michael Breuß, Andrés Bruhn, Daniel Maurer, 2018, International Journal of Computer Vision.

Variational optic flow on the Sony PlayStation 3 – accurate dense flow fields for real-time applications

Joachim Weickert, Andrés Bruhn, Pascal Gwosdek, 2010 .

Learning Brightness Transfer Functions for the Joint Recovery of Illumination Changes and Optical Flow

Joachim Weickert, Andrés Bruhn, Michael Stoll, 2014, ECCV.

Modeling temporal coherence for optical flow

Henning Zimmer, Andrés Bruhn, Levi Valgaerts, 2011, 2011 International Conference on Computer Vision.

Morphology for Higher-Dimensional Tensor Data Via Loewner Ordering

Joachim Weickert, Martin Welk, Bernhard Burgeth, 2005, ISMM.

Vision for Autonomous Vehicles and Probes (Dagstuhl Seminar 15461)

Atsushi Imiya, Ales Leonardis, Tomás Pajdla, 2015, Dagstuhl Reports.

Shape from Shading for Rough Surfaces: Analysis of the Oren-Nayar Model

Michael Breuß, Andrés Bruhn, Silvano Galliani, 2012, BMVC.

Combining the Advantages of Local and Global Optic Flow Methods

Joachim Weickert, Christoph Schnörr, Andrés Bruhn, 2002, DAGM-Symposium.

An Efficient Linearisation Approach for Variational Perspective Shape from Shading

Michael Breuß, Andrés Bruhn, Daniel Maurer, 2015, GCPR.

Structure-from-Motion-Aware PatchMatch for Adaptive Optical Flow Estimation

Bastian Goldlücke, Andrés Bruhn, Daniel Maurer, 2018, ECCV.

A Time-Efficient Optimisation Framework for Parameters of Optical Flow Methods

Andrés Bruhn, Michael Stoll, Daniel Maurer, 2017, SCIA.

Domain decomposition for variational optical-flow computation

Timo Kohlberger, Joachim Weickert, Christoph Schnörr, 2005, IEEE Transactions on Image Processing.

Discontinuity-Preserving Computation of Variational Optic Flow in Real-Time

Timo Kohlberger, Joachim Weickert, Christoph Schnörr, 2005, Scale-Space.

Efficient Algorithms for Global Optimization Methods in Computer Vision

Xue-Cheng Tai, Andrés Bruhn, Thomas Pock, 2014, Lecture Notes in Computer Science.

Real-Time Optic Flow Computation with Variational Methods

Timo Kohlberger, Joachim Weickert, Christoph Schnörr, 2003, CAIP.

Deinterlacing with Motion-Compensated Anisotropic Diffusion

Joachim Weickert, Andrés Bruhn, Matthias Ghodstinat, 2009, Statistical and Geometrical Approaches to Visual Motion Analysis.

High Accuracy Optical Flow Estimation Based on a Theory for Warping

Thomas Brox, Joachim Weickert, Andrés Bruhn, 2004, ECCV.

Variational Motion Segmentation with Level Sets

Thomas Brox, Joachim Weickert, Andrés Bruhn, 2006, ECCV.

ProFlow: Learning to Predict Optical Flow pdf

Andrés Bruhn, Daniel Maurer, Andrés Bruhn, 2018, BMVC.

A Variational Model for the Joint Recovery of the Fundamental Matrix and the Optical Flow

Joachim Weickert, Andrés Bruhn, Levi Valgaerts, 2008, DAGM-Symposium.

From Box Filtering to Fast Explicit Diffusion

Joachim Weickert, Andrés Bruhn, Sven Grewenig, 2010, DAGM-Symposium.

Bewegungsschätzung in Echtzeit mit Optimierungsansätzen (Motion Estimation in Real-Time with Optimisation Methods)

Andrés Bruhn, 2008, it Inf. Technol..

Visual Quality Assessment for Interpolated Slow-Motion Videos Based on a Novel Database

Andrés Bruhn, Vlad Hosu, Hanhe Lin, 2020, 2020 Twelfth International Conference on Quality of Multimedia Experience (QoMEX).

Mathematical morphology for matrix fields induced by the Loewner ordering in higher dimensions

Joachim Weickert, Martin Welk, Bernhard Burgeth, 2007, Signal Process..

Domain Decomposition for Parallel Variational Optical Flow Computation

Timo Kohlberger, Joachim Weickert, Christoph Schnörr, 2003, DAGM-Symposium.

Image Compression with Anisotropic Diffusion

Hans-Peter Seidel, Joachim Weickert, Martin Welk, 2008, Journal of Mathematical Imaging and Vision.

High performance cluster computing with 3-D nonlinear diffusion filters

Timo Kohlberger, Joachim Weickert, Christoph Schnörr, 2004, Real Time Imaging.

Is Dense Optic Flow Useful to Compute the Fundamental Matrix?

Joachim Weickert, Andrés Bruhn, Markus Mainberger, 2008, ICIAR.

Universität Des Saarlandes Fachrichtung 6.1 – Mathematik Electrostatic Halftoning Electrostatic Halftoning

Joachim Weickert, Andrés Bruhn, Christian Schmaltz, 2022 .

Visual Quality Assessment for Motion Compensated Frame Interpolation

Andrés Bruhn, Daniel Maurer, Vlad Hosu, 2019, 2019 Eleventh International Conference on Quality of Multimedia Experience (QoMEX).

Direct Variational Perspective Shape from Shading with Cartesian Depth Parametrisation pdf

Michael Breuß, Andrés Bruhn, Daniel Maurer, 2016, Perspectives in Shape Analysis.

Optic Flow Scale Space

Joachim Weickert, Henning Zimmer, Andrés Bruhn, 2011, SSVM.

Generalised Perspective Shape from Shading in Spherical Coordinates

Michael Breuß, Andrés Bruhn, Silvano Galliani, 2013, SSVM.

Theoretical Foundations of Gaussian Convolution by Extended Box Filtering

Joachim Weickert, Andrés Bruhn, Sven Grewenig, 2011, SSVM.

Combining Shape from Shading and Stereo: A Variational Approach for the Joint Estimation of Depth, Illumination and Albedo

Michael Breuß, Andrés Bruhn, Daniel Maurer, 2016, BMVC.

Adaptive Integration of Feature Matches into Variational Optical Flow Methods

Andrés Bruhn, Michael Stoll, Sebastian Volz, 2012, ACCV.

Optic Flow in Harmony

Joachim Weickert, Henning Zimmer, Andrés Bruhn, 2011, International Journal of Computer Vision.

An Anisotropic Selection Scheme for Variational Optical Flow Methods with Order-Adaptive Regularisation

Andrés Bruhn, Andrea Barth, Lukas Mehl, 2021, SSVM.

Racecar Tracking and its Visualization Using Sparse Data

Thomas Ertl, Andrés Bruhn, Andrés Bruhn, 2013 .

Mathematical morphology for tensor data induced by the Loewner orderingin higher dimensions

Joachim Weickert, Martin Welk, Bernhard Burgeth, 2005 .