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.: MAIN: Multi-Attention Instance Network for video segment...
with: Arbelaez, P.: Occlusion boundary detection and figure/ground assignmen...
with: Argus, M.: Far Away in the Deep Space: Dense Nearest-Neighbor-Based Ou...
with: Argus, M.: Temporal Shift GAN for Large Scale Video Generation
with: Argus, M.J.: FreiHAND: A Dataset for Markerless Capture of Hand Pose a...
with: Bai, Z.C.: Object-Centric Multiple Object Tracking
with: Bai, Z.C.: Unsupervised Open-Vocabulary Object Localization in Videos
with: Bechtold, J.: Fostering Generalization in Single-view 3D Reconstructio...
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: Bravo, M.A.: MAIN: Multi-Attention Instance Network for video segmenta...
with: Bravo, M.A.: Open-vocabulary Attribute Detection
with: Bravo, M.A.: Probing Contextual Diversity for Dense Out-of-Distributio...
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.: On Exposing the Challenging Long Tail in Future Prediction ...
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: Ding, Y.Z.: Object-Centric Multiple Object Tracking
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: Elsken, T.: Neural Architecture Search for Dense Prediction Tasks in C...
with: Facil, J.M.: CAM-Convs: Camera-Aware Multi-Scale Convolutions for Sing...
with: Fan, K.: Unsupervised Open-Vocabulary Object Localization in Videos
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.: Fostering Generalization in Single-view 3D Reconstruction...
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: Fu, Y.W.: Object-Centric Multiple Object Tracking
with: Fu, Y.W.: Unsupervised Open-Vocabulary Object Localization in Videos
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.: Essentials for Class Incremental Learning
with: Galesso, S.: Far Away in the Deep Space: Dense Nearest-Neighbor-Based ...
with: Galesso, S.: Probing Contextual Diversity for Dense Out-of-Distributio...
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: Gehler, P.: CrossCLR: Cross-modal Contrastive Learning For Multi-modal...
with: Gehler, P.: Towards Total Recall in Industrial Anomaly Detection
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: Ghanem, B.: MAIN: Multi-Attention Instance Network for video segmentat...
with: Ging, S.: Open-vocabulary Attribute Detection
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: He, T.: Object-Centric Multiple Object Tracking
with: He, T.: Unsupervised Open-Vocabulary Object Localization in Videos
with: Heun, P.: Blind Deconvolution of Widefield Fluorescence Microscopic Da...
with: Horn, M.: Object-Centric Multiple Object Tracking
with: Horn, M.: Unsupervised Open-Vocabulary Object Localization in Videos
with: Huisken, J.: Spatiotemporal Deformable Prototypes for Motion Anomaly D...
with: Hutter, F.: AutoDispNet: Improving Disparity Estimation With AutoML
with: Hutter, F.: Neural Architecture Search for Dense Prediction Tasks in C...
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: Jeanneret, G.: MAIN: Multi-Attention Instance Network for video segmen...
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: Leon Alcazar, J.: MAIN: Multi-Attention Instance Network for video seg...
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: Locatello, F.: Object-Centric Multiple Object Tracking
with: Locatello, F.: Unsupervised Open-Vocabulary Object Localization in Vid...
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.: On Exposing the Challenging Long Tail in Future Predictio...
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: Marrakchi, Y.: On Exposing the Challenging Long Tail in Future Predict...
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.: Neural Architecture Search for Dense Prediction Tasks in...
with: Metzen, J.H.: Universal Adversarial Perturbations Against Semantic Ima...
with: Mittal, S.: Essentials for Class Incremental Learning
with: Mittal, S.: Open-vocabulary Attribute Detection
with: Mittal, S.: Semi-Supervised Semantic Segmentation With High- and Low-L...
with: Mittal, S.: Synthetic Dataset Acquisition for a Specific Target Domain
with: Mohan, R.: Neural Architecture Search for Dense Prediction Tasks in Co...
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: Munoz, A.: Temporal Shift GAN for Large Scale Video Generation
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: Naouar, M.: Probing Contextual Diversity for Dense Out-of-Distribution...
with: Niemeijer, J.: Synthetic Dataset Acquisition for a Specific Target Dom...
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: Pemula, L.: Towards Total Recall in Industrial Anomaly Detection
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: Roth, K.: Towards Total Recall in Industrial Anomaly Detection
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.: Improving robustness against common corruptions with frequ...
with: Saikia, T.: Occlusions, Motion and Depth Boundaries with a Generic Net...
with: Saikia, T.: Towards Understanding Adversarial Robustness of Optical Fl...
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.: Object-Centric Multiple Object Tracking
with: Schiele, B.: Spectral Graph Reduction for Efficient Image and Streamin...
with: Schiele, B.: Unified Video Segmentation Benchmark: Annotation, Metrics...
with: Schiele, B.: Unsupervised Open-Vocabulary Object Localization in Videos
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: Schmid, C.: Improving robustness against common corruptions with frequ...
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: Scholkopf, B.: Towards Total Recall in Industrial Anomaly Detection
with: Schrodi, S.: Towards Understanding Adversarial Robustness of Optical F...
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: Shou, M.Z.: Unsupervised Open-Vocabulary Object Localization in Videos
with: Shuai, B.: Object-Centric Multiple Object Tracking
with: Simon Gabriel, C.J.: Object-Centric Multiple Object Tracking
with: Simon Gabriel, C.J.: Unsupervised Open-Vocabulary Object Localization ...
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: Staffler, B.: Neural Architecture Search for Dense Prediction Tasks in...
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.: Fostering Generalization in Single-view 3D Reconstruc...
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.: Semi-Supervised Semantic Segmentation With High- and ...
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: Thabet, A.K.: MAIN: Multi-Attention Instance Network for video segment...
with: Theis, D.: PDE-Based Deconvolution with Forward-Backward Diffusivities...
with: Tu, Z.W.: Object-Centric Multiple Object Tracking
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: Valada, A.: Neural Architecture Search for Dense Prediction Tasks in C...
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: Wang, J.: Object-Centric Multiple Object Tracking
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: Xiao, T.J.: Object-Centric Multiple Object Tracking
with: Xiao, T.J.: Unsupervised Open-Vocabulary Object Localization in Videos
with: Yang, J.: FreiHAND: A Dataset for Markerless Capture of Hand Pose and ...
with: Zela, A.: AutoDispNet: Improving Disparity Estimation With AutoML
with: Zela, A.: Neural Architecture Search for Dense Prediction Tasks in Com...
with: Zepeda, J.: Towards Total Recall in Industrial Anomaly Detection
with: Zhang, D.: Group Pruning Using a Bounded-Lp Norm for Group Gating and ...
with: Zhang, Z.: Object-Centric Multiple Object Tracking
with: Zhang, Z.: Unsupervised Open-Vocabulary Object Localization in Videos
with: Zhao, Z.X.: Object-Centric Multiple Object Tracking
with: Zhao, Z.X.: Unsupervised Open-Vocabulary Object Localization in Videos
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: Zhu, Y.: CrossCLR: Cross-modal Contrastive Learning For Multi-modal Vi...
with: Zietlow, D.: Object-Centric Multiple Object Tracking
with: Zietlow, D.: Unsupervised Open-Vocabulary Object Localization in Videos
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.: CrossCLR: Cross-modal Contrastive Learning For Multi-m...
with: Zolfaghari, M.: ECO: Efficient Convolutional Network for Online Video ...
with: Zolfaghari, M.: Temporal Shift GAN for Large Scale Video Generation
495 for Brox, T.
Broxton, M.
Standard Author Listing
with: Aravkin, A.Y.: 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.B.: Intercomparison of Seven NDVI Products over the United Sta...
Broxton, P.D.
Standard Author Listing
with: Behrangi, A.: Assessment of Snowfall Accumulation from Satellite and R...
with: Ehsani, M.R.: Assessment of Snowfall Accumulation from Satellite and R...
with: Song, Y.: Assessment of Snowfall Accumulation from Satellite and Reana...
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