Index for brox

Brox, P. Standard Author Listing
     with: Calvo Gallego, E.: Low-cost dedicated hardware IP modules for backgrou...
     with: Castillo, I.B.: Fuzzy Logic-Based Algorithms for Video De-Interlacing
     with: Sanchez Solano, S.: Low-cost dedicated hardware IP modules for backgro...
     with: Solano, S.S.: Fuzzy Logic-Based Algorithms for Video De-Interlacing

Brox, T. Standard Author Listing
     with: Anastasopoulos, C.: White Matter MS-Lesion Segmentation Using a Geomet...
     with: Andres, B.: Efficient Decomposition of Image and Mesh Graphs by Lifted...
     with: Andres, B.: Joint Graph Decomposition Node Labeling: Problem, Algorith...
     with: Andres, B.: Motion Segmentation Multiple Object Tracking by Correlatio...
     with: Andres, B.: Motion Trajectory Segmentation via Minimum Cost Multicuts
     with: Arbelaez, P.: Occlusion boundary detection and figure/ground assignmen...
     with: Argus, M.J.: FreiHAND: A Dataset for Markerless Capture of Hand Pose a...
     with: Benenson, R.: Lucid Data Dreaming for Video Object Segmentation
     with: Bensch, R.: Spatiotemporal Deformable Prototypes for Motion Anomaly De...
     with: Blein, T.: 3D Rotation-Invariant Description from Tensor Operation on ...
     with: Blein, T.: Discriminative Detection and Alignment in Volumetric Data
     with: Blein, T.: Rotation-Invariant HOG Descriptors Using Fourier Analysis i...
     with: Bonneel, N.: Efficient Decomposition of Image and Mesh Graphs by Lifte...
     with: Bourdev, L.: Detecting People Using Mutually Consistent Poselet Activa...
     with: Bourdev, L.: Object segmentation by alignment of poselet activations t...
     with: Bregler, C.: Large displacement optical flow
     with: Breuß, M.: Stabilised Nonlinear Inverse Diffusion for Approximating Hy...
     with: Bruhn, A.: High Accuracy Optical Flow Estimation Based on a Theory for...
     with: Bruhn, A.: Highly Accurate Optic Flow Computation with Theoretically J...
     with: Bruhn, A.: Variational Motion Segmentation with Level Sets
     with: Buchicchio, K.: Multimodal Future Localization and Emergence Predictio...
     with: Burgeth, B.: Nonlinear structure tensors
     with: Burkhardt, H.: Fast Rotation Invariant 3D Feature Computation Utilizin...
     with: Burkhardt, H.: Multiview Deblurring for 3-D Images from Light-Sheet-Ba...
     with: Cardenas, T.J.: Unified Video Segmentation Benchmark: Annotation, Metr...
     with: Ceylan, D.: FreiHAND: A Dataset for Markerless Capture of Hand Pose an...
     with: Chen, Y.: iPiano: Inertial Proximal Algorithm for Nonconvex Optimization
     with: Cicek, O.: Multimodal Future Localization and Emergence Prediction for...
     with: Cicek, O.: Overcoming Limitations of Mixture Density Networks: A Sampl...
     with: Cicek, O.: Uncertainty Estimates and Multi-hypotheses Networks for Opt...
     with: Civera, J.: CAM-Convs: Camera-Aware Multi-Scale Convolutions for Singl...
     with: Cordts, M.: Pixel-Level Encoding and Depth Layering for Instance-Level...
     with: Cremers, D.: Combined Region and Motion-Based 3D Tracking of Rigid and...
     with: Cremers, D.: Comparison of Shape Matching Methods for Contour Based Po...
     with: Cremers, D.: Continuous Global Optimization in Multiview 3D Reconstruc...
     with: Cremers, D.: Contours, Optic Flow, and Prior Knowledge: Cues for Captu...
     with: Cremers, D.: Efficient Dense Scene Flow from Sparse or Dense Stereo Data
     with: Cremers, D.: Efficient Nonlocal Means for Denoising of Textural Patterns
     with: Cremers, D.: Fast Joint Estimation of Silhouettes and Dense 3D Geometr...
     with: Cremers, D.: FlowNet: Learning Optical Flow with Convolutional Networks
     with: Cremers, D.: High Accuracy Optical Flow Serves 3-D Pose Tracking: Expl...
     with: Cremers, D.: Iterated Nonlocal Means for Texture Restoration
     with: Cremers, D.: Large Dataset to Train Convolutional Networks for Dispari...
     with: Cremers, D.: Markerless motion capture of man-machine interaction
     with: Cremers, D.: Modeling and Tracking Line-Constrained Mechanical Systems
     with: Cremers, D.: Nonparametric Density Estimation for Human Pose Tracking
     with: Cremers, D.: Nonparametric Density Estimation with Adaptive, Anisotrop...
     with: Cremers, D.: Occlusion Modeling by Tracking Multiple Objects
     with: Cremers, D.: On Local Region Models and a Statistical Interpretation o...
     with: Cremers, D.: On the Statistical Interpretation of the Piecewise Smooth...
     with: Cremers, D.: Online Smoothing for Markerless Motion Capture
     with: Cremers, D.: q-Space Deep Learning: Twelve-Fold Shorter and Model-Free...
     with: Cremers, D.: Realtime Depth Estimation and Obstacle Detection from Mon...
     with: Cremers, D.: Region-Based Pose Tracking
     with: Cremers, D.: Robust Variational Segmentation of 3D Objects from Multip...
     with: Cremers, D.: Stereoscopic Scene Flow Computation for 3D Motion Underst...
     with: Cremers, D.: WarpCut: Fast Obstacle Segmentation in Monocular Video
     with: Cremers, D.: What Makes Good Synthetic Training Data for Learning Disp...
     with: Crowley, J.L.: Dense Semi-rigid Scene Flow Estimation from RGBD Images
     with: Czisch, M.: q-Space Deep Learning: Twelve-Fold Shorter and Model-Free ...
     with: Deriche, R.: Active Unsupervised Texture Segmentation on a Diffusion B...
     with: Deriche, R.: Colour, texture, and motion in level set based segmentati...
     with: Deriche, R.: Unsupervised Segmentation Incorporating Colour, Texture, ...
     with: Devernay, F.: Dense Semi-rigid Scene Flow Estimation from RGBD Images
     with: Didas, S.: Highly Accurate Optic Flow Computation with Theoretically J...
     with: Dosovitskiy, A.: Artistic Style Transfer for Videos
     with: Dosovitskiy, A.: Artistic Style Transfer for Videos and Spherical Images
     with: Dosovitskiy, A.: DeMoN: Depth and Motion Network for Learning Monocula...
     with: Dosovitskiy, A.: Discriminative Unsupervised Feature Learning with Exe...
     with: Dosovitskiy, A.: FlowNet 2.0: Evolution of Optical Flow Estimation wit...
     with: Dosovitskiy, A.: FlowNet: Learning Optical Flow with Convolutional Net...
     with: Dosovitskiy, A.: Image Orientation Estimation with Convolutional Netwo...
     with: Dosovitskiy, A.: Inverting Visual Representations with Convolutional N...
     with: Dosovitskiy, A.: Iterated L1 Algorithm for Non-smooth Non-convex Optim...
     with: Dosovitskiy, A.: Large Dataset to Train Convolutional Networks for Dis...
     with: Dosovitskiy, A.: Learning to generate chairs with convolutional neural...
     with: Dosovitskiy, A.: Learning to Generate Chairs, Tables and Cars with Con...
     with: Dosovitskiy, A.: Multi-view 3D Models from Single Images with a Convol...
     with: Dosovitskiy, A.: Octree Generating Networks: Efficient Convolutional A...
     with: Dosovitskiy, A.: On Iteratively Reweighted Algorithms for Nonsmooth No...
     with: Dosovitskiy, A.: q-Space Deep Learning: Twelve-Fold Shorter and Model-...
     with: Dosovitskiy, A.: What Makes Good Synthetic Training Data for Learning ...
     with: Drayer, B.: Combinatorial Regularization of Descriptor Matching for Op...
     with: Drayer, B.: Distances Based on Non-rigid Alignment for Comparison of D...
     with: Drayer, B.: Training Deformable Object Models for Human Detection Base...
     with: Driever, W.: Multiview Deblurring for 3-D Images from Light-Sheet-Base...
     with: Durr, J.: Discriminative Detection and Alignment in Volumetric Data
     with: Facil, J.M.: CAM-Convs: Camera-Aware Multi-Scale Convolutions for Sing...
     with: Feiden, W.: Fully automated segmentation and morphometrical analysis o...
     with: Fischer, P.: Discriminative Detection and Alignment in Volumetric Data
     with: Fischer, P.: Discriminative Unsupervised Feature Learning with Exempla...
     with: Fischer, P.: Image Descriptors Based on Curvature Histograms
     with: Fischer, P.: Image Orientation Estimation with Convolutional Networks
     with: Fischer, P.: Large Dataset to Train Convolutional Networks for Dispari...
     with: Fischer, P.: What Makes Good Synthetic Training Data for Learning Disp...
     with: Fischer, V.: Group Pruning Using a Bounded-Lp Norm for Group Gating an...
     with: Fischer, V.: Universal Adversarial Perturbations Against Semantic Imag...
     with: Fischery, P.: FlowNet: Learning Optical Flow with Convolutional Networks
     with: Fisher, R.B.: Second Workshop on 3D Reconstruction Meets Semantics: Ch...
     with: Franke, U.: Efficient Dense Scene Flow from Sparse or Dense Stereo Data
     with: Franke, U.: Pixel-Level Encoding and Depth Layering for Instance-Level...
     with: Franke, U.: Realtime Depth Estimation and Obstacle Detection from Mono...
     with: Franke, U.: Stereoscopic Scene Flow Computation for 3D Motion Understa...
     with: Fritz, M.: Editor's Note Special Issue on Computer Vision and Pattern ...
     with: Galasso, F.: First International Workshop on Video Segmentation - Pane...
     with: Galasso, F.: Spectral Graph Reduction for Efficient Image and Streamin...
     with: Galasso, F.: Unified Video Segmentation Benchmark: Annotation, Metrics...
     with: Galesso, S.: Uncertainty Estimates and Multi-hypotheses Networks for O...
     with: Gall, J.: Combined Region and Motion-Based 3D Tracking of Rigid and Ar...
     with: Gall, J.: Learning for Multi-view 3D Tracking in the Context of Partic...
     with: Gall, J.: Optimization and Filtering for Human Motion Capture: A Multi...
     with: Genewein, T.: Group Pruning Using a Bounded-Lp Norm for Group Gating a...
     with: Gevers, T.: Second Workshop on 3D Reconstruction Meets Semantics: Chal...
     with: Golkov, V.: FlowNet: Learning Optical Flow with Convolutional Networks
     with: Golkov, V.: q-Space Deep Learning: Twelve-Fold Shorter and Model-Free ...
     with: Granziera, C.: White Matter MS-Lesion Segmentation Using a Geometric B...
     with: Gurney, J.K.: System for Marker-Less Human Motion Estimation, A
     with: Hausser, P.: FlowNet: Learning Optical Flow with Convolutional Networks
     with: Hausser, P.: Large Dataset to Train Convolutional Networks for Dispari...
     with: Hazirbas, C.: FlowNet: Learning Optical Flow with Convolutional Networks
     with: Hazirbas, C.: What Makes Good Synthetic Training Data for Learning Dis...
     with: Heun, P.: Blind Deconvolution of Widefield Fluorescence Microscopic Da...
     with: Huisken, J.: Spatiotemporal Deformable Prototypes for Motion Anomaly D...
     with: Hutter, F.: AutoDispNet: Improving Disparity Estimation With AutoML
     with: Hutter, F.: Uncertainty Estimates and Multi-hypotheses Networks for Op...
     with: Ilg, E.: DeMoN: Depth and Motion Network for Learning Monocular Stereo
     with: Ilg, E.: End-to-End Learning of Video Super-Resolution with Motion Com...
     with: Ilg, E.: FlowNet 2.0: Evolution of Optical Flow Estimation with Deep N...
     with: Ilg, E.: FlowNet: Learning Optical Flow with Convolutional Networks
     with: Ilg, E.: Large Dataset to Train Convolutional Networks for Disparity, ...
     with: Ilg, E.: Lucid Data Dreaming for Video Object Segmentation
     with: Ilg, E.: Occlusions, Motion and Depth Boundaries with a Generic Networ...
     with: Ilg, E.: Overcoming Limitations of Mixture Density Networks: A Samplin...
     with: Ilg, E.: Uncertainty Estimates and Multi-hypotheses Networks for Optic...
     with: Ilg, E.: What Makes Good Synthetic Training Data for Learning Disparit...
     with: Insafutdinov, E.: Joint Graph Decomposition Node Labeling: Problem, Al...
     with: Kersting, U.G.: Nonparametric Density Estimation for Human Pose Tracking
     with: Kersting, U.G.: System for Marker-Less Human Motion Estimation, A
     with: Keuper, M.: Blind Deconvolution of Widefield Fluorescence Microscopic ...
     with: Keuper, M.: Efficient Decomposition of Image and Mesh Graphs by Lifted...
     with: Keuper, M.: FlowNet 2.0: Evolution of Optical Flow Estimation with Dee...
     with: Keuper, M.: Motion Segmentation Multiple Object Tracking by Correlatio...
     with: Keuper, M.: Motion Trajectory Segmentation via Minimum Cost Multicuts
     with: Keuper, M.: Occlusions, Motion and Depth Boundaries with a Generic Net...
     with: Keuper, M.: Point-Wise Mutual Information-Based Video Segmentation wit...
     with: Keuper, M.: Spectral Graph Reduction for Efficient Image and Streaming...
     with: Keutzer, K.: Dense Point Trajectories by GPU-Accelerated Large Displac...
     with: Khoreva, A.: Lucid Data Dreaming for Video Object Segmentation
     with: Kim, Y.J.: Fully automated segmentation and morphometrical analysis of...
     with: Kirillov, A.: Joint Graph Decomposition Node Labeling: Problem, Algori...
     with: Klappstein, J.: Realtime Depth Estimation and Obstacle Detection from ...
     with: Klein, A.: Uncertainty Estimates and Multi-hypotheses Networks for Opt...
     with: Kleinschmidt, O.: Efficient Nonlocal Means for Denoising of Textural P...
     with: Kleinschmidt, O.: Iterated Nonlocal Means for Texture Restoration
     with: Klette, R.: System for Marker-Less Human Motion Estimation, A
     with: Klodt, M.: Continuous Global Optimization in Multiview 3D Reconstruction
     with: Kolev, K.: Continuous Global Optimization in Multiview 3D Reconstruction
     with: Kolev, K.: Fast Joint Estimation of Silhouettes and Dense 3D Geometry ...
     with: Kolev, K.: Robust Variational Segmentation of 3D Objects from Multiple...
     with: Koltun, V.: What Do Single-View 3D Reconstruction Networks Learn?
     with: Kraft, E.: Motion Based Foreground Detection and Poselet Motion Featur...
     with: Krueger, G.: White Matter MS-Lesion Segmentation Using a Geometric Bra...
     with: Kumar, M.C.: Universal Adversarial Perturbations Against Semantic Imag...
     with: Lavoue, G.: Efficient Decomposition of Image and Mesh Graphs by Lifted...
     with: Le, H.A.: Second Workshop on 3D Reconstruction Meets Semantics: Challe...
     with: Levinkov, E.: Efficient Decomposition of Image and Mesh Graphs by Lift...
     with: Levinkov, E.: Joint Graph Decomposition Node Labeling: Problem, Algori...
     with: Li, F.: First International Workshop on Video Segmentation - Panel Dis...
     with: Li, Z.: What Do Single-View 3D Reconstruction Networks Learn?
     with: Liu, K.: 3D Rotation-Invariant Description from Tensor Operation on Sp...
     with: Liu, K.: Hierarchy of Localized Random Forests for Video Annotation
     with: Liu, K.: Rotation-Invariant HOG Descriptors Using Fourier Analysis in ...
     with: Mai, D.: Discriminative Detection and Alignment in Volumetric Data
     with: Maire, M.: Occlusion boundary detection and figure/ground assignment f...
     with: Maji, S.: Detecting People Using Mutually Consistent Poselet Activations
     with: Maji, S.: Object segmentation by alignment of poselet activations to i...
     with: Makansi, O.: End-to-End Learning of Video Super-Resolution with Motion...
     with: Makansi, O.: Multimodal Future Localization and Emergence Prediction f...
     with: Makansi, O.: Overcoming Limitations of Mixture Density Networks: A Sam...
     with: Makansi, O.: Uncertainty Estimates and Multi-hypotheses Networks for O...
     with: Malik, J.: Detecting People Using Mutually Consistent Poselet Activati...
     with: Malik, J.: Higher order motion models and spectral clustering
     with: Malik, J.: Large displacement optical flow
     with: Malik, J.: Large Displacement Optical Flow: Descriptor Matching in Var...
     with: Malik, J.: Object segmentation by alignment of poselet activations to ...
     with: Malik, J.: Object Segmentation by Long Term Analysis of Point Trajecto...
     with: Malik, J.: Object segmentation in video: A hierarchical variational ap...
     with: Malik, J.: Occlusion boundary detection and figure/ground assignment f...
     with: Malik, J.: Segmentation of Moving Objects by Long Term Video Analysis
     with: Marrakchi, Y.: AutoDispNet: Improving Disparity Estimation With AutoML
     with: Mayer, N.: DeMoN: Depth and Motion Network for Learning Monocular Stereo
     with: Mayer, N.: FlowNet 2.0: Evolution of Optical Flow Estimation with Deep...
     with: Mayer, N.: Large Dataset to Train Convolutional Networks for Disparity...
     with: Mayer, N.: What Makes Good Synthetic Training Data for Learning Dispar...
     with: Menzel, M.I.: q-Space Deep Learning: Twelve-Fold Shorter and Model-Fre...
     with: Metzen, J.H.: Defending Against Universal Perturbations With Shared Ad...
     with: Metzen, J.H.: Universal Adversarial Perturbations Against Semantic Ima...
     with: Montesano, L.: CAM-Convs: Camera-Aware Multi-Scale Convolutions for Si...
     with: Mrazek, P.: Nonlinear structure tensors
     with: Mummadi, C.K.: Defending Against Universal Perturbations With Shared A...
     with: Mummadi, C.K.: Group Pruning Using a Bounded-Lp Norm for Group Gating ...
     with: Nagaraja, N.S.: Hierarchy of Localized Random Forests for Video Annota...
     with: Nagaraja, N.S.: Unified Video Segmentation Benchmark: Annotation, Metr...
     with: Nagaraja, N.S.: Video Segmentation with Just a Few Strokes
     with: Ochs, P.: Bilevel Optimization with Nonsmooth Lower Level Problems
     with: Ochs, P.: Hierarchy of Localized Random Forests for Video Annotation
     with: Ochs, P.: Higher order motion models and spectral clustering
     with: Ochs, P.: iPiano: Inertial Proximal Algorithm for Nonconvex Optimization
     with: Ochs, P.: iPiasco: Inertial Proximal Algorithm for Strongly Convex Opt...
     with: Ochs, P.: Iterated L1 Algorithm for Non-smooth Non-convex Optimization...
     with: Ochs, P.: Multiview Deblurring for 3-D Images from Light-Sheet-Based F...
     with: Ochs, P.: Object Segmentation by Long Term Analysis of Point Trajector...
     with: Ochs, P.: Object segmentation in video: A hierarchical variational app...
     with: Ochs, P.: On Iteratively Reweighted Algorithms for Nonsmooth Nonconvex...
     with: Ochs, P.: Segmentation of Moving Objects by Long Term Video Analysis
     with: Ochs, P.: Techniques for Gradient-Based Bilevel Optimization with Non-...
     with: Oliveira, G.L.: Chained Multi-stream Networks Exploiting Pose, Motion,...
     with: Omran, M.: Joint Graph Decomposition Node Labeling: Problem, Algorithm...
     with: Padeken, J.: Blind Deconvolution of Widefield Fluorescence Microscopic...
     with: Palme, K.: 3D Rotation-Invariant Description from Tensor Operation on ...
     with: Palme, K.: Discriminative Detection and Alignment in Volumetric Data
     with: Palme, K.: Rotation-Invariant HOG Descriptors Using Fourier Analysis i...
     with: Papenberg, N.: High Accuracy Optical Flow Estimation Based on a Theory...
     with: Papenberg, N.: Highly Accurate Optic Flow Computation with Theoretical...
     with: Pock, T.: Bilevel Optimization with Nonsmooth Lower Level Problems
     with: Pock, T.: iPiano: Inertial Proximal Algorithm for Nonconvex Optimization
     with: Pock, T.: iPiasco: Inertial Proximal Algorithm for Strongly Convex Opt...
     with: Pock, T.: Iterated L1 Algorithm for Non-smooth Non-convex Optimization...
     with: Pock, T.: On Iteratively Reweighted Algorithms for Nonsmooth Nonconvex...
     with: Pock, T.: Techniques for Gradient-Based Bilevel Optimization with Non-...
     with: Pollefeys, M.: Second Workshop on 3D Reconstruction Meets Semantics: C...
     with: Quiroga, J.: Dense Semi-rigid Scene Flow Estimation from RGBD Images
     with: Rabe, C.: Efficient Dense Scene Flow from Sparse or Dense Stereo Data
     with: Rabe, C.: Stereoscopic Scene Flow Computation for 3D Motion Understand...
     with: Ranftl, R.: Bilevel Optimization with Nonsmooth Lower Level Problems
     with: Ranftl, R.: Techniques for Gradient-Based Bilevel Optimization with No...
     with: Ranftl, R.: What Do Single-View 3D Reconstruction Networks Learn?
     with: Rehg, J.M.: First International Workshop on Video Segmentation - Panel...
     with: Reisert, M.: Fast Rotation Invariant 3D Feature Computation Utilizing ...
     with: Richter, S.R.: What Do Single-View 3D Reconstruction Networks Learn?
     with: Riedmiller, M.: Discriminative Unsupervised Feature Learning with Exem...
     with: Ronneberger, O.: 3D Rotation-Invariant Description from Tensor Operati...
     with: Ronneberger, O.: Blind Deconvolution of Widefield Fluorescence Microsc...
     with: Ronneberger, O.: Fast Rotation Invariant 3D Feature Computation Utiliz...
     with: Ronneberger, O.: Multiview Deblurring for 3-D Images from Light-Sheet-...
     with: Ronneberger, O.: Rotation-Invariant HOG Descriptors Using Fourier Anal...
     with: Ronneberger, O.: Spatiotemporal Deformable Prototypes for Motion Anoma...
     with: Rosenhahn, B.: Combined Region and Motion-Based 3D Tracking of Rigid a...
     with: Rosenhahn, B.: Comparison of Shape Matching Methods for Contour Based ...
     with: Rosenhahn, B.: Contours, Optic Flow, and Prior Knowledge: Cues for Cap...
     with: Rosenhahn, B.: Dealing with Self-occlusion in Region Based Motion Capt...
     with: Rosenhahn, B.: High Accuracy Optical Flow Serves 3-D Pose Tracking: Ex...
     with: Rosenhahn, B.: Learning for Multi-view 3D Tracking in the Context of P...
     with: Rosenhahn, B.: Localised Mixture Models in Region-Based Tracking
     with: Rosenhahn, B.: Markerless motion capture of man-machine interaction
     with: Rosenhahn, B.: Modeling and Tracking Line-Constrained Mechanical Systems
     with: Rosenhahn, B.: Nonparametric Density Estimation for Human Pose Tracking
     with: Rosenhahn, B.: Nonparametric Density Estimation with Adaptive, Anisotr...
     with: Rosenhahn, B.: Occlusion Modeling by Tracking Multiple Objects
     with: Rosenhahn, B.: Online Smoothing for Markerless Motion Capture
     with: Rosenhahn, B.: Optimization and Filtering for Human Motion Capture: A ...
     with: Rosenhahn, B.: Region-Based Pose Tracking
     with: Rosenhahn, B.: Region-based pose tracking with occlusions using 3D mod...
     with: Rosenhahn, B.: Scaled Motion Dynamics for Markerless Motion Capture
     with: Rosenhahn, B.: Staying Well Grounded in Markerless Motion Capture
     with: Rosenhahn, B.: System for Marker-Less Human Motion Estimation, A
     with: Rosenhahn, B.: Three-Dimensional Shape Knowledge for Joint Image Segme...
     with: Rosenhahn, B.: Three-Dimensional Shape Knowledge for Joint Image Segme...
     with: Rother, C.: Joint Graph Decomposition Node Labeling: Problem, Algorith...
     with: Rousson, M.: Active Unsupervised Texture Segmentation on a Diffusion B...
     with: Rousson, M.: Colour, texture, and motion in level set based segmentati...
     with: Rousson, M.: Unsupervised Segmentation Incorporating Colour, Texture, ...
     with: Ruder, M.: Artistic Style Transfer for Videos
     with: Ruder, M.: Artistic Style Transfer for Videos and Spherical Images
     with: Russell, B.: FreiHAND: A Dataset for Markerless Capture of Hand Pose a...
     with: Saikia, T.: AutoDispNet: Improving Disparity Estimation With AutoML
     with: Saikia, T.: FlowNet 2.0: Evolution of Optical Flow Estimation with Dee...
     with: Saikia, T.: Occlusions, Motion and Depth Boundaries with a Generic Net...
     with: Samann, P.: q-Space Deep Learning: Twelve-Fold Shorter and Model-Free ...
     with: Sattler, T.: Second Workshop on 3D Reconstruction Meets Semantics: Cha...
     with: Scherf, N.: Spatiotemporal Deformable Prototypes for Motion Anomaly De...
     with: Schiele, B.: First International Workshop on Video Segmentation - Pane...
     with: Schiele, B.: Joint Graph Decomposition Node Labeling: Problem, Algorit...
     with: Schiele, B.: Lucid Data Dreaming for Video Object Segmentation
     with: Schiele, B.: Motion Segmentation Multiple Object Tracking by Correlati...
     with: Schiele, B.: Spectral Graph Reduction for Efficient Image and Streamin...
     with: Schiele, B.: Unified Video Segmentation Benchmark: Annotation, Metrics...
     with: Schmaltz, C.: Dealing with Self-occlusion in Region Based Motion Captu...
     with: Schmaltz, C.: Localised Mixture Models in Region-Based Tracking
     with: Schmaltz, C.: Markerless motion capture of man-machine interaction
     with: Schmaltz, C.: Occlusion Modeling by Tracking Multiple Objects
     with: Schmaltz, C.: Region-Based Pose Tracking
     with: Schmaltz, C.: Region-based pose tracking with occlusions using 3D models
     with: Schmaltz, C.: Staying Well Grounded in Markerless Motion Capture
     with: Schmidt, F.R.: Video Segmentation with Just a Few Strokes
     with: Schmidt, F.R.: White Matter MS-Lesion Segmentation Using a Geometric B...
     with: Schmidt, T.: 3D Rotation-Invariant Description from Tensor Operation o...
     with: Schmidt, T.: Blind Deconvolution of Widefield Fluorescence Microscopic...
     with: Schmidt, T.: Fast Rotation Invariant 3D Feature Computation Utilizing ...
     with: Schmidt, T.: Rotation-Invariant HOG Descriptors Using Fourier Analysis...
     with: Schoenemann, T.: WarpCut: Fast Obstacle Segmentation in Monocular Video
     with: Sedaghat, N.: Chained Multi-stream Networks Exploiting Pose, Motion, a...
     with: Sedaghat, N.: Unsupervised Generation of a View Point Annotated Car Da...
     with: Seidel, H.P.: Comparison of Shape Matching Methods for Contour Based P...
     with: Seidel, H.P.: High Accuracy Optical Flow Serves 3-D Pose Tracking: Exp...
     with: Seidel, H.P.: Learning for Multi-view 3D Tracking in the Context of Pa...
     with: Seidel, H.P.: Markerless motion capture of man-machine interaction
     with: Seidel, H.P.: Modeling and Tracking Line-Constrained Mechanical Systems
     with: Seidel, H.P.: Nonparametric Density Estimation with Adaptive, Anisotro...
     with: Seidel, H.P.: Online Smoothing for Markerless Motion Capture
     with: Seidel, H.P.: Optimization and Filtering for Human Motion Capture: A M...
     with: Seidel, H.P.: Scaled Motion Dynamics for Markerless Motion Capture
     with: Seidel, H.P.: Staying Well Grounded in Markerless Motion Capture
     with: Singh, K.: ECO: Efficient Convolutional Network for Online Video Under...
     with: Skibbe, H.: 3D Rotation-Invariant Description from Tensor Operation on...
     with: Skibbe, H.: Fast Rotation Invariant 3D Feature Computation Utilizing E...
     with: Skibbe, H.: Rotation-Invariant HOG Descriptors Using Fourier Analysis ...
     with: Smith, A.W.: System for Marker-Less Human Motion Estimation, A
     with: Sommer, G.: Dealing with Self-occlusion in Region Based Motion Capture...
     with: Sommer, G.: Occlusion Modeling by Tracking Multiple Objects
     with: Sommer, G.: Region-Based Pose Tracking
     with: Sonar, T.: Stabilised Nonlinear Inverse Diffusion for Approximating Hy...
     with: Sperl, J.I.: q-Space Deep Learning: Twelve-Fold Shorter and Model-Free...
     with: Springenberg, J.T.: Discriminative Unsupervised Feature Learning with ...
     with: Springenberg, J.T.: Learning to generate chairs with convolutional neu...
     with: Springenberg, J.T.: Learning to Generate Chairs, Tables and Cars with ...
     with: Steidl, G.: Equivalence Results for TV Diffusion and TV Regularisation
     with: Strumia, M.: White Matter MS-Lesion Segmentation Using a Geometric Bra...
     with: Sundaram, N.: Dense Point Trajectories by GPU-Accelerated Large Displa...
     with: Sundberg, P.: Occlusion boundary detection and figure/ground assignmen...
     with: Tananaev, D.: Temporally Consistent Depth Estimation in Videos with Re...
     with: Tang, S.: Joint Graph Decomposition Node Labeling: Problem, Algorithms...
     with: Tang, S.: Motion Segmentation Multiple Object Tracking by Correlation ...
     with: Tatarchenko, M.: Learning to generate chairs with convolutional neural...
     with: Tatarchenko, M.: Learning to Generate Chairs, Tables and Cars with Con...
     with: Tatarchenko, M.: Multi-view 3D Models from Single Images with a Convol...
     with: Tatarchenko, M.: Octree Generating Networks: Efficient Convolutional A...
     with: Tatarchenko, M.: What Do Single-View 3D Reconstruction Networks Learn?
     with: Temerinac Ott, M.: Blind Deconvolution of Widefield Fluorescence Micro...
     with: Temerinac Ott, M.: Multiview Deblurring for 3-D Images from Light-Shee...
     with: Theis, D.: PDE-Based Deconvolution with Forward-Backward Diffusivities...
     with: Tylecek, R.: Second Workshop on 3D Reconstruction Meets Semantics: Cha...
     with: Uhrig, J.: DeMoN: Depth and Motion Network for Learning Monocular Stereo
     with: Uhrig, J.: Joint Graph Decomposition Node Labeling: Problem, Algorithm...
     with: Uhrig, J.: Pixel-Level Encoding and Depth Layering for Instance-Level ...
     with: Ummenhofer, B.: CAM-Convs: Camera-Aware Multi-Scale Convolutions for S...
     with: Ummenhofer, B.: DeepTAM: Deep Tracking and Mapping
     with: Ummenhofer, B.: DeepTAM: Deep Tracking and Mapping with Convolutional ...
     with: Ummenhofer, B.: DeMoN: Depth and Motion Network for Learning Monocular...
     with: Ummenhofer, B.: Dense 3d Reconstruction with a Hand-held Camera
     with: Ummenhofer, B.: Global, Dense Multiscale Reconstruction for a Billion ...
     with: Ummenhofer, B.: Point-Based 3D Reconstruction of Thin Objects
     with: Ummenhofer, B.: Temporally Consistent Depth Estimation in Videos with ...
     with: van de Smagt, P.: FlowNet: Learning Optical Flow with Convolutional Ne...
     with: Vaudrey, T.: Efficient Dense Scene Flow from Sparse or Dense Stereo Data
     with: Vaudrey, T.: Stereoscopic Scene Flow Computation for 3D Motion Underst...
     with: Wedel, A.: Efficient Dense Scene Flow from Sparse or Dense Stereo Data
     with: Wedel, A.: Realtime Depth Estimation and Obstacle Detection from Monoc...
     with: Wedel, A.: Stereoscopic Scene Flow Computation for 3D Motion Understan...
     with: Wedel, A.: WarpCut: Fast Obstacle Segmentation in Monocular Video
     with: Weickert, J.: Colour, texture, and motion in level set based segmentat...
     with: Weickert, J.: Dealing with Self-occlusion in Region Based Motion Captu...
     with: Weickert, J.: Equivalence Results for TV Diffusion and TV Regularisation
     with: Weickert, J.: Fully automated segmentation and morphometrical analysis...
     with: Weickert, J.: High Accuracy Optical Flow Estimation Based on a Theory ...
     with: Weickert, J.: Highly Accurate Optic Flow Computation with Theoreticall...
     with: Weickert, J.: Level Set Based Image Segmentation with Multiple Regions
     with: Weickert, J.: Level Set Segmentation With Multiple Regions
     with: Weickert, J.: Localised Mixture Models in Region-Based Tracking
     with: Weickert, J.: Markerless motion capture of man-machine interaction
     with: Weickert, J.: Nonlinear Matrix Diffusion for Optic Flow Estimation
     with: Weickert, J.: Nonlinear structure tensors
     with: Weickert, J.: Occlusion Modeling by Tracking Multiple Objects
     with: Weickert, J.: PDE-Based Deconvolution with Forward-Backward Diffusivit...
     with: Weickert, J.: Region-Based Pose Tracking
     with: Weickert, J.: Region-based pose tracking with occlusions using 3D models
     with: Weickert, J.: Stabilised Nonlinear Inverse Diffusion for Approximating...
     with: Weickert, J.: Staying Well Grounded in Markerless Motion Capture
     with: Weickert, J.: Three-Dimensional Shape Knowledge for Joint Image Segmen...
     with: Weickert, J.: Three-Dimensional Shape Knowledge for Joint Image Segmen...
     with: Weickert, J.: TV flow based local scale estimate and its application t...
     with: Weickert, J.: TV Flow Based Local Scale Measure for Texture Discrimina...
     with: Weickert, J.: Unsupervised Segmentation Incorporating Colour, Texture,...
     with: Weickert, J.: Variational Motion Segmentation with Level Sets
     with: Welk, M.: Equivalence Results for TV Diffusion and TV Regularisation
     with: Welk, M.: PDE-Based Deconvolution with Forward-Backward Diffusivities ...
     with: Wietzke, L.: Dealing with Self-occlusion in Region Based Motion Captur...
     with: Wietzke, L.: Occlusion Modeling by Tracking Multiple Objects
     with: Wietzke, L.: Region-Based Pose Tracking
     with: Yang, J.: FreiHAND: A Dataset for Markerless Capture of Hand Pose and ...
     with: Zela, A.: AutoDispNet: Improving Disparity Estimation With AutoML
     with: Zhang, D.: Group Pruning Using a Bounded-Lp Norm for Group Gating and ...
     with: Zhou, H.Z.: CAM-Convs: Camera-Aware Multi-Scale Convolutions for Singl...
     with: Zhou, H.Z.: DeepTAM: Deep Tracking and Mapping
     with: Zhou, H.Z.: DeepTAM: Deep Tracking and Mapping with Convolutional Neur...
     with: Zhou, H.Z.: DeMoN: Depth and Motion Network for Learning Monocular Ste...
     with: Zhou, H.Z.: Temporally Consistent Depth Estimation in Videos with Recu...
     with: Zimmermann, C.: FreiHAND: A Dataset for Markerless Capture of Hand Pos...
     with: Zimmermann, C.: Learning to Estimate 3D Hand Pose from Single RGB Images
     with: Zolfaghari, M.: Chained Multi-stream Networks Exploiting Pose, Motion,...
     with: Zolfaghari, M.: ECO: Efficient Convolutional Network for Online Video ...
419 for Brox, T.

Broxton, M. Standard Author Listing
     with: Aravkin, A.: Student's t robust bundle adjustment algorithm
     with: Debevec, P.: DeepView: View Synthesis With Learned Gradient Descent
     with: DuVall, M.: DeepView: View Synthesis With Learned Gradient Descent
     with: Flynn, J.: DeepView: View Synthesis With Learned Gradient Descent
     with: Fyffe, G.: DeepView: View Synthesis With Learned Gradient Descent
     with: Moratto, Z.: Student's t robust bundle adjustment algorithm
     with: Nefian, A.: Student's t robust bundle adjustment algorithm
     with: Overbeck, R.: DeepView: View Synthesis With Learned Gradient Descent
     with: Snavely, N.: DeepView: View Synthesis With Learned Gradient Descent
     with: Styer, M.: Student's t robust bundle adjustment algorithm
     with: Tucker, R.: DeepView: View Synthesis With Learned Gradient Descent
11 for Broxton, M.

Broxton, M.J. Standard Author Listing
     with: Hancher, M.D.: bayesian formulation for sub-pixel refinement in stereo...
     with: Husmann, K.: bayesian formulation for sub-pixel refinement in stereo o...
     with: Kim, T.: 3D Lunar Terrain Reconstruction from Apollo Images
     with: Kim, T.: Photometric Recovery of Ortho-Images Derived from Apollo 15 M...
     with: Lundy, M.: 3D Lunar Terrain Reconstruction from Apollo Images
     with: Lundy, M.: bayesian formulation for sub-pixel refinement in stereo orb...
     with: Moratto, Z.: 3D Lunar Terrain Reconstruction from Apollo Images
     with: Nefian, A.V.: 3D Lunar Terrain Reconstruction from Apollo Images
     with: Nefian, A.V.: bayesian formulation for sub-pixel refinement in stereo ...
     with: Nefian, A.V.: Photometric Recovery of Ortho-Images Derived from Apollo...
     with: Segal, A.V.: 3D Lunar Terrain Reconstruction from Apollo Images
     with: To, V.: bayesian formulation for sub-pixel refinement in stereo orbita...
12 for Broxton, M.J.

Broxton, P. Standard Author Listing
     with: Brunke, M.: Intercomparison of Seven NDVI Products over the United Sta...
     with: Scheftic, W.: Intercomparison of Seven NDVI Products over the United S...
     with: Zeng, X.: Intercomparison of Seven NDVI Products over the United State...

Broxton, P.D. Standard Author Listing
     with: van Leeuwen, W.J.D.: Structure from Motion of Multi-Angle RPAS Imagery...

Broxvall, M. Standard Author Listing
     with: Emilsson, K.: Fast GPU Based Adaptive Filtering of 4D Echocardiography
     with: Thunberg, P.: Fast GPU Based Adaptive Filtering of 4D Echocardiography

Index for "b"


Last update:19-Oct-20 15:59:48
Use price@usc.edu for comments.