Andrés Bruhn

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Spring: A High-Resolution High-Detail Dataset and Benchmark for Scene Flow, Optical Flow and Stereo.

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[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Efficient and Robust Background Modeling with Dynamic Mode Decomposition.

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[DOI]

J. Math. Imaging Vis., 2022

High Resolution Multi-Scale RAFT (Robust Vision Challenge 2022).

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[DOI]

CoRR, 2022

Attacking Motion Estimation with Adversarial Snow.

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[DOI]

Jenny Schmalfuss

Lukas Mehl

CoRR, 2022

From Chairs To Brains: Customizing Optical Flow For Surgical Activity Localization.

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[DOI]

Markus Philipp

Neal Bacher

Stefan Saur

Franziska Mathis-Ullrich

Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

Multi-Scale Raft: Combining Hierarchical Concepts for Learning-Based Optical Flow Estimation.

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[DOI]

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

A Perturbation-Constrained Adversarial Attack for Evaluating the Robustness of Optical Flow.

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[DOI]

Jenny Schmalfuss

Philipp Scholze

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

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

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[DOI]

Proceedings of the Scale Space and Variational Methods in Computer Vision, 2021

2020

Subjective annotation for a frame interpolation benchmark using artefact amplification.

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[DOI]

Qual. User Exp., 2020

Subjective Annotation for a Frame Interpolation Benchmark using Artifact Amplification.

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[DOI]

CoRR, 2020

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

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[DOI]

Proceedings of the Twelfth International Conference on Quality of Multimedia Experience, 2020

Visual Analytics and Annotation of Pervasive Eye Tracking Video.

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[DOI]

Proceedings of the ETRA '20: 2020 Symposium on Eye Tracking Research and Applications, 2020

2019

Technical Report on Visual Quality Assessment for Frame Interpolation.

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[DOI]

CoRR, 2019

Visual Quality Assessment for Motion Compensated Frame Interpolation.

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[DOI]

Proceedings of the 11th International Conference on Quality of Multimedia Experience QoMEX 2019, 2019

2018

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

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[DOI]

Int. J. Comput. Vis., 2018

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

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[DOI]

Proceedings of the Computer Vision - ECCV 2018, 2018

Directional Priors for Multi-Frame Optical Flow.

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[DOI]

Proceedings of the British Machine Vision Conference 2018, 2018

ProFlow: Learning to Predict Optical Flow.

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Proceedings of the British Machine Vision Conference 2018, 2018

2017

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

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[DOI]

Proceedings of the Image Analysis - 20th Scandinavian Conference, 2017

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

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[DOI]

Proceedings of the Scale Space and Variational Methods in Computer Vision, 2017

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

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[DOI]

Proceedings of the Scale Space and Variational Methods in Computer Vision, 2017

Illumination-Aware Large Displacement Optical Flow.

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[DOI]

Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2017

Variational Large Displacement Optical Flow Without Feature Matches.

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[DOI]

Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2017

FlowBrush: optical flow art.

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[DOI]

Proceedings of the 13th International Symposium on Computational Aesthetics in Graphics, 2017

Order-Adaptive and Illumination-Aware Variational Optical Flow Refinement.

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[DOI]

Proceedings of the British Machine Vision Conference 2017, 2017

2016

Cyclic Schemes for PDE-Based Image Analysis.

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[DOI]

Int. J. Comput. Vis., 2016

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

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[DOI]

Proceedings of the British Machine Vision Conference 2016, 2016

Direct Variational Perspective Shape from Shading with Cartesian Depth Parametrisation.

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[DOI]

Proceedings of the Perspectives in Shape Analysis, 2016

2015

Vision for Autonomous Vehicles and Probes (Dagstuhl Seminar 15461).

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[DOI]

Dagstuhl Reports, 2015

Direct Variational Perspective Shape from Shading with Cartesian Depth Parametrisation.

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[DOI]

CoRR, 2015

Variational Perspective Shape from Shading.

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[DOI]

Yong Chul Ju

Michael Breuß

Proceedings of the Scale Space and Variational Methods in Computer Vision, 2015

An Efficient Linearisation Approach for Variational Perspective Shape from Shading.

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[DOI]

Proceedings of the Pattern Recognition - 37th German Conference, 2015

2014

Understanding, Optimising, and Extending Data Compression with Anisotropic Diffusion.

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[DOI]

Int. J. Comput. Vis., 2014

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

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[DOI]

Proceedings of the Computer Vision - ECCV 2014, 2014

2013

Generalised Perspective Shape from Shading in Spherical Coordinates.

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[DOI]

Proceedings of the Scale Space and Variational Methods in Computer Vision, 2013

Joint trilateral filtering for multiframe optical flow.

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[DOI]

Sebastian Volz

Proceedings of the IEEE International Conference on Image Processing, 2013

Generalised Perspective Shape from Shading with Oren-Nayar Reflectance.

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[DOI]

Proceedings of the British Machine Vision Conference, 2013

2012

Lightweight binocular facial performance capture under uncontrolled lighting.

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[DOI]

ACM Trans. Graph., 2012

Dense versus Sparse Approaches for Estimating the Fundamental Matrix.

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[DOI]

Int. J. Comput. Vis., 2012

Motion Compensated Frame Interpolation with a Symmetric Optical Flow Constraint.

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[DOI]

Proceedings of the Advances in Visual Computing - 8th International Symposium, 2012

Anisotropic Range Image Integration.

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[DOI]

Proceedings of the Pattern Recognition, 2012

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

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[DOI]

Proceedings of the British Machine Vision Conference, 2012

Adaptive Integration of Feature Matches into Variational Optical Flow Methods.

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[DOI]

Sebastian Volz

Proceedings of the Computer Vision - ACCV 2012, 2012

2011

Edge-based compression of cartoon-like images with homogeneous diffusion.

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[DOI]

Pattern Recognit., 2011

Optic Flow in Harmony.

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[DOI]

Henning Zimmer

Int. J. Comput. Vis., 2011

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

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[DOI]

Thomas Pock

Xue-Cheng Tai

Dagstuhl Reports, 2011

Freehand HDR Imaging of Moving Scenes with Simultaneous Resolution Enhancement.

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[DOI]

Henning Zimmer

Comput. Graph. Forum, 2011

Theoretical Foundations of Gaussian Convolution by Extended Box Filtering.

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[DOI]

Proceedings of the Scale Space and Variational Methods in Computer Vision, 2011

Optic Flow Scale Space.

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[DOI]

Proceedings of the Scale Space and Variational Methods in Computer Vision, 2011

Modeling temporal coherence for optical flow.

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[DOI]

Proceedings of the IEEE International Conference on Computer Vision, 2011

2010

Variational optic flow on the Sony PlayStation 3 - Accurate dense flow fields for real-time applications.

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[DOI]

Pascal Gwosdek

J. Real Time Image Process., 2010

Electrostatic Halftoning.

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[DOI]

Comput. Graph. Forum, 2010

Joint Estimation of Motion, Structure and Geometry from Stereo Sequences.

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[DOI]

Proceedings of the Computer Vision, 2010

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

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[DOI]

Proceedings of the Trends and Topics in Computer Vision, 2010

From Box Filtering to Fast Explicit Diffusion.

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[DOI]

Sven Grewenig

Proceedings of the Pattern Recognition, 2010

2009

Complementary Optic Flow.

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[DOI]

Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2009

Beating the Quality of JPEG 2000 with Anisotropic Diffusion.

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[DOI]

Christian Schmaltz

Proceedings of the Pattern Recognition, 2009

2008

Image Compression with Anisotropic Diffusion.

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[DOI]

J. Math. Imaging Vis., 2008

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

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[DOI]

it Inf. Technol., 2008

PDE-Based Anisotropic Disparity-Driven Stereo Vision.

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Proceedings of the 13th International Fall Workshop on Vision, Modeling, and Visualization, 2008

High Performance Parallel Optical Flow Algorithms on the Sony Playstation 3.

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Pascal Gwosdek

Proceedings of the 13th International Fall Workshop on Vision, Modeling, and Visualization, 2008

Is Dense Optic Flow Useful to Compute the Fundamental Matrix?.

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[DOI]

Markus Mainberger

Proceedings of the Image Analysis and Recognition, 5th International Conference, 2008

Deinterlacing with Motion-Compensated Anisotropic Diffusion.

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[DOI]

Matthias Ghodstinat

Proceedings of the Statistical and Geometrical Approaches to Visual Motion Analysis, 2008

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

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[DOI]

Levi Valgaerts

Proceedings of the Pattern Recognition, 2008

2007

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

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[DOI]

Signal Process., 2007

Morphology for matrix data: Ordering versus PDE-based approach.

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Image Vis. Comput., 2007

Robust Variational Reconstruction from Multiple Views.

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[DOI]

Proceedings of the Image Analysis, 15th Scandinavian Conference, 2007

Direct Shape-from-Shading with Adaptive Higher Order Regularisation.

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[DOI]

Proceedings of the Scale Space and Variational Methods in Computer Vision, 2007

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

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[DOI]

Proceedings of the Scale Space and Variational Methods in Computer Vision, 2007

Illumination-Robust Variational Optical Flow with Photometric Invariants.

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[DOI]

Yana Momchilova Mileva

Proceedings of the Pattern Recognition, 2007

2006

Highly Accurate Optic Flow Computation with Theoretically Justified Warping.

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[DOI]

Int. J. Comput. Vis., 2006

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

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[DOI]

Int. J. Comput. Vis., 2006

Variationsansätze zur Bewegungsschätzung: Präzise Modellierung und Effiziente Numerik.

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[DOI]

Proceedings of the Ausgezeichnete Informatikdissertationen 2006, 2006

Variational Motion Segmentation with Level Sets.

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[DOI]

Thomas Brox

Proceedings of the Computer Vision, 2006

Variationelle optische Flussberechnung - präzise Modellierung und effziente Numerik.

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[DOI]

PhD thesis, 2006

2005

Domain decomposition for variational optical-flow computation.

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[DOI]

IEEE Trans. Image Process., 2005

Variational optical flow computation in real time.

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[DOI]

IEEE Trans. Image Process., 2005

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

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[DOI]

Christoph Schnörr

Int. J. Comput. Vis., 2005

Towards PDE-Based Image Compression.

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[DOI]

Proceedings of the Variational, 2005

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

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[DOI]

Proceedings of the Scale Space and PDE Methods in Computer Vision, 2005

Morphology for Higher-Dimensional Tensor Data Via Loewner Ordering.

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[DOI]

Proceedings of the Mathematical Morphology: 40 Years On, 2005

Towards Ultimate Motion Estimation: Combining Highest Accuracy with Real-Time Performance.

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[DOI]

Proceedings of the 10th IEEE International Conference on Computer Vision (ICCV 2005), 2005

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

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[DOI]

Natalia Slesareva

Proceedings of the Pattern Recognition, 27th DAGM Symposium, Vienna, Austria, August 31, 2005

2004

High performance cluster computing with 3-D nonlinear diffusion filters.

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[DOI]

Real Time Imaging, 2004

Parallel Variational Motion Estimation by Domain Decomposition and Cluster Computing.

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[DOI]

Proceedings of the Computer Vision, 2004

High Accuracy Optical Flow Estimation Based on a Theory for Warping.

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Proceedings of the Computer Vision, 2004

2003

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

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[DOI]

Proceedings of the Euro-Par 2003. Parallel Processing, 2003

Domain Decomposition for Parallel Variational Optical Flow Computation.

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[DOI]

Proceedings of the Pattern Recognition, 2003

Real-Time Optic Flow Computation with Variational Methods.

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Proceedings of the Computer Analysis of Images and Patterns, 10th International Conference, 2003

2002

Combining the Advantages of Local and Global Optic Flow Methods.

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