Bruha, L.[Lukas]
* 2020: Reconstruction of Lost Cultural Heritage Sites and Landscapes: Context of Ancient Objects in Time and Space
Includes: Bruha, L.[Lukas] Bruha, L.[Luká]
Bruhin, N.D.[Nina Dekoninck]
* 2022: Bioinspired Random Projections for Robust, Sparse Classification
Bruhl, C.[Christoph]
* 2016: Development, Production and Evaluation of Aerosol Climate Data Records from European Satellite Observations (Aerosol_cci)
Includes: Bruhl, C.[Christoph] Brühl, C.[Christoph] (Maybe also Bruehl, C.)
Bruhn, A.[Andres]
* 2002: Combining the Advantages of Local and Global Optic Flow Methods
* 2002: Designing 3-D Nonlinear Diffusion Filters for High Performance Cluster Computing
* 2003: Domain Decomposition for Parallel Variational Optical Flow Computation
* 2003: Real-Time Optic Flow Computation with Variational Methods
* 2004: High Accuracy Optical Flow Estimation Based on a Theory for Warping
* 2004: High performance cluster computing with 3-D nonlinear diffusion filters
* 2004: Parallel Variational Motion Estimation by Domain Decomposition and Cluster Computing
* 2005: Discontinuity-Preserving Computation of Variational Optic Flow in Real-Time
* 2005: Domain Decomposition for Variational Optical-Flow Computation
* 2005: Lucas/Kanade Meets Horn/Schunck: Combining Local and Global Optic Flow Methods
* 2005: Optic Flow Goes Stereo: A Variational Method for Estimating Discontinuity-Preserving Dense Disparity Maps
* 2005: Towards Ultimate Motion Estimation: Combining Highest Accuracy with Real-Time Performance
* 2005: Variational Optical Flow Computation in Real Time
* 2006: Highly Accurate Optic Flow Computation with Theoretically Justified Warping
* 2006: Multigrid Platform for Real-Time Motion Computation with Discontinuity-Preserving Variational Methods, A
* 2006: Variational Motion Segmentation with Level Sets
* 2007: Beauty with Variational Methods: An Optic Flow Approach to Hairstyle Simulation
* 2007: Direct Shape-from-Shading with Adaptive Higher Order Regularisation
* 2007: Illumination-Robust Variational Optical Flow with Photometric Invariants
* 2007: Morphology for matrix data: Ordering versus PDE-based approach
* 2007: Robust Variational Reconstruction from Multiple Views
* 2008: Image Compression with Anisotropic Diffusion
* 2008: Is Dense Optic Flow Useful to Compute the Fundamental Matrix?
* 2008: Variational Model for the Joint Recovery of the Fundamental Matrix and the Optical Flow, A
* 2009: Beating the Quality of JPEG 2000 with Anisotropic Diffusion
* 2009: Complementary Optic Flow
* 2010: From Box Filtering to Fast Explicit Diffusion
* 2010: Joint Estimation of Motion, Structure and Geometry from Stereo Sequences
* 2010: Variational optic flow on the Sony PlayStation 3: Accurate dense flow fields for real-time applications
* 2011: Edge-based compression of cartoon-like images with homogeneous diffusion
* 2011: Modeling temporal coherence for optical flow
* 2011: Optic Flow in Harmony
* 2011: Optic Flow Scale Space
* 2011: Theoretical Foundations of Gaussian Convolution by Extended Box Filtering
* 2012: Adaptive Integration of Feature Matches into Variational Optical Flow Methods
* 2012: Anisotropic Range Image Integration
* 2012: Dense versus Sparse Approaches for Estimating the Fundamental Matrix
* 2012: Motion Compensated Frame Interpolation with a Symmetric Optical Flow Constraint
* 2012: Shape from Shading for Rough Surfaces: Analysis of the Oren-Nayar Model
* 2013: Generalised Perspective Shape from Shading in Spherical Coordinates
* 2013: Generalised Perspective Shape from Shading with Oren-Nayar Reflectance
* 2013: Joint trilateral filtering for multiframe optical flow
* 2014: Learning Brightness Transfer Functions for the Joint Recovery of Illumination Changes and Optical Flow
* 2014: Understanding, Optimising, and Extending Data Compression with Anisotropic Diffusion
* 2015: Efficient Linearisation Approach for Variational Perspective Shape from Shading, An
* 2015: Variational Perspective Shape from Shading
* 2016: Combining Shape from Shading and Stereo: A Variational Approach for the Joint Estimation of Depth, Illumination and Albedo
* 2016: Cyclic Schemes for PDE-Based Image Analysis
* 2016: Improving the Accuracy of Registration-Based Biomechanical Analysis: A Finite Element Approach to Lung Regional Strain Quantification
* 2017: Comparison of Isotropic and Anisotropic Second Order Regularisers for Optical Flow, A
* 2017: Illumination-Aware Large Displacement Optical Flow
* 2017: Order-Adaptive Regularisation for Variational Optical Flow: Global, Local and in Between
* 2017: Time-Efficient Optimisation Framework for Parameters of Optical Flow Methods, A
* 2017: Variational Large Displacement Optical Flow Without Feature Matches
* 2018: Combining Shape from Shading and Stereo: A Joint Variational Method for Estimating Depth, Illumination and Albedo
* 2018: Structure-from-Motion-Aware PatchMatch for Adaptive Optical Flow Estimation
* 2021: Anisotropic Selection Scheme for Variational Optical Flow Methods with Order-adaptive Regularisation, An
* 2022: Multi-Scale Raft: Combining Hierarchical Concepts for Learning-Based Optical Flow Estimation
* 2022: Perturbation-Constrained Adversarial Attack for Evaluating the Robustness of Optical Flow, A
* 2023: Distracting Downpour: Adversarial Weather Attacks for Motion Estimation
* 2023: M-FUSE: Multi-frame Fusion for Scene Flow Estimation
* 2023: Spring: A High-Resolution High-Detail Dataset and Benchmark for Scene Flow, Optical Flow and Stereo
* 2024: CCMR: High Resolution Optical Flow Estimation via Coarse-to-Fine Context-Guided Motion Reasoning
* 2024: Detection Defenses: An Empty Promise against Adversarial Patch Attacks on Optical Flow
* 2024: Stereo Conversion with Disparity-Aware Warping, Compositing and Inpainting
Includes: Bruhn, A.[Andres] Bruhn, A.[Andrés] Bruhn, A.[Andrées] Bruhn, A.
65 for Bruhn, A.
Bruhwiler, L.[Lori]
* 2023: Spatiotemporal Variability of Global Atmospheric Methane Observed from Two Decades of Satellite Hyperspectral Infrared Sounders