Brox, P.[Piedad]
* 2010: Fuzzy Logic-Based Algorithms for Video De-Interlacing
* 2016: Low-cost dedicated hardware IP modules for background subtraction in embedded vision systems
Brox, T.
* 2002: Nonlinear Matrix Diffusion for Optic Flow Estimation
* 2003: Active Unsupervised Texture Segmentation on a Diffusion Based Feature Space
* 2003: Active Unsupervised Texture Segmentation on a Diffusion Based Feature Space
* 2003: Equivalence Results for TV Diffusion and TV Regularisation
* 2003: Unsupervised Segmentation Incorporating Colour, Texture, and Motion
* 2003: Unsupervised Segmentation Incorporating Colour, Texture, and Motion
* 2004: High Accuracy Optical Flow Estimation Based on a Theory for Warping
* 2004: Level Set Based Image Segmentation with Multiple Regions
* 2004: TV Flow Based Local Scale Measure for Texture Discrimination, A
* 2005: PDE-Based Deconvolution with Forward-Backward Diffusivities and Diffusion Tensors
* 2005: Stabilised Nonlinear Inverse Diffusion for Approximating Hyperbolic PDEs
* 2005: System for Marker-Less Human Motion Estimation, A
* 2005: Three-Dimensional Shape Knowledge for Joint Image Segmentation and Pose Estimation
* 2005: Three-Dimensional Shape Knowledge for Joint Image Segmentation and Pose Tracking
* 2006: Comparison of Shape Matching Methods for Contour Based Pose Estimation, A
* 2006: Fully automated segmentation and morphometrical analysis of muscle fibre images
* 2006: High Accuracy Optical Flow Serves 3-D Pose Tracking: Exploiting Contour and Flow Based Constraints
* 2006: Highly Accurate Optic Flow Computation with Theoretically Justified Warping
* 2006: Learning for Multi-view 3D Tracking in the Context of Particle Filters
* 2006: Level Set Segmentation With Multiple Regions
* 2006: Nonlinear structure tensors
* 2006: Nonparametric Density Estimation for Human Pose Tracking
* 2006: Realtime Depth Estimation and Obstacle Detection from Monocular Video
* 2006: Robust Variational Segmentation of 3D Objects from Multiple Views
* 2006: TV flow based local scale estimate and its application to texture discrimination, A
* 2006: Variational Motion Segmentation with Level Sets
* 2007: Continuous Global Optimization in Multiview 3D Reconstruction
* 2007: Fully automated segmentation and morphometrical analysis of muscle fibre images
* 2007: Iterated Nonlocal Means for Texture Restoration
* 2007: Nonparametric Density Estimation with Adaptive, Anisotropic Kernels for Human Motion Tracking
* 2007: Occlusion Modeling by Tracking Multiple Objects
* 2007: On the Statistical Interpretation of the Piecewise Smooth Mumford-Shah Functional
* 2007: Online Smoothing for Markerless Motion Capture
* 2007: Region-Based Pose Tracking
* 2007: Scaled Motion Dynamics for Markerless Motion Capture
* 2007: Three-Dimensional Shape Knowledge for Joint Image Segmentation and Pose Tracking
* 2007: WarpCut: Fast Obstacle Segmentation in Monocular Video
* 2008: Contours, Optic Flow, and Prior Knowledge: Cues for Capturing 3D Human Motion in Videos
* 2008: Dealing with Self-occlusion in Region Based Motion Capture by Means of Internal Regions
* 2008: Efficient Dense Scene Flow from Sparse or Dense Stereo Data
* 2008: Efficient Nonlocal Means for Denoising of Textural Patterns
* 2008: Markerless motion capture of man-machine interaction
* 2008: Modeling and Tracking Line-Constrained Mechanical Systems
* 2008: Staying Well Grounded in Markerless Motion Capture
* 2009: Continuous Global Optimization in Multiview 3D Reconstruction
* 2009: Large displacement optical flow
* 2009: Localised Mixture Models in Region-Based Tracking
* 2009: On Local Region Models and a Statistical Interpretation of the Piecewise Smooth Mumford-Shah Functional
* 2010: Colour, texture, and motion in level set based segmentation and tracking
* 2010: Combined Region and Motion-Based 3D Tracking of Rigid and Articulated Objects
* 2010: Dense Point Trajectories by GPU-Accelerated Large Displacement Optical Flow
* 2010: Detecting People Using Mutually Consistent Poselet Activations
* 2010: Object Segmentation by Long Term Analysis of Point Trajectories
* 2010: Optimization and Filtering for Human Motion Capture: A Multi-Layer Framework
* 2011: 3D Rotation-Invariant Description from Tensor Operation on Spherical HOG Field
* 2011: Large Displacement Optical Flow: Descriptor Matching in Variational Motion Estimation
* 2011: Object segmentation by alignment of poselet activations to image contours
* 2011: Object segmentation in video: A hierarchical variational approach for turning point trajectories into dense regions
* 2011: Occlusion boundary detection and figure/ground assignment from optical flow
* 2011: Stereoscopic Scene Flow Computation for 3D Motion Understanding
* 2012: Dense 3d Reconstruction with a Hand-held Camera
* 2012: Fast Joint Estimation of Silhouettes and Dense 3D Geometry from Multiple Images
* 2012: Fast Rotation Invariant 3D Feature Computation Utilizing Efficient Local Neighborhood Operators
* 2012: Hierarchy of Localized Random Forests for Video Annotation
* 2012: Higher order motion models and spectral clustering
* 2012: Multiview Deblurring for 3-D Images from Light-Sheet-Based Fluorescence Microscopy
* 2012: Region-based pose tracking with occlusions using 3D models
* 2013: Blind Deconvolution of Widefield Fluorescence Microscopic Data by Regularization of the Optical Transfer Function (OTF)
* 2013: Discriminative Detection and Alignment in Volumetric Data
* 2013: Distances Based on Non-rigid Alignment for Comparison of Different Object Instances
* 2013: Iterated L1 Algorithm for Non-smooth Non-convex Optimization in Computer Vision, An
* 2013: Point-Based 3D Reconstruction of Thin Objects
* 2013: Unified Video Segmentation Benchmark: Annotation, Metrics and Analysis, A
* 2014: Dense Semi-rigid Scene Flow Estimation from RGBD Images
* 2014: First International Workshop on Video Segmentation - Panel Discussion
* 2014: Image Descriptors Based on Curvature Histograms
* 2014: iPiano: Inertial Proximal Algorithm for Nonconvex Optimization
* 2014: Motion Based Foreground Detection and Poselet Motion Features for Action Recognition
* 2014: Rotation-Invariant HOG Descriptors Using Fourier Analysis in Polar and Spherical Coordinates
* 2014: Segmentation of Moving Objects by Long Term Video Analysis
* 2014: Spectral Graph Reduction for Efficient Image and Streaming Video Segmentation
* 2014: Training Deformable Object Models for Human Detection Based on Alignment and Clustering
* 2015: Bilevel Optimization with Nonsmooth Lower Level Problems
* 2015: Combinatorial Regularization of Descriptor Matching for Optical Flow Estimation
* 2015: Efficient Decomposition of Image and Mesh Graphs by Lifted Multicuts
* 2015: FlowNet: Learning Optical Flow with Convolutional Networks
* 2015: Global, Dense Multiscale Reconstruction for a Billion Points
* 2015: Image Orientation Estimation with Convolutional Networks
* 2015: iPiasco: Inertial Proximal Algorithm for Strongly Convex Optimization
* 2015: Learning to generate chairs with convolutional neural networks
* 2015: Motion Trajectory Segmentation via Minimum Cost Multicuts
* 2015: On Iteratively Reweighted Algorithms for Nonsmooth Nonconvex Optimization in Computer Vision
* 2015: Spatiotemporal Deformable Prototypes for Motion Anomaly Detection
* 2015: Unsupervised Generation of a View Point Annotated Car Dataset from Videos
* 2015: Video Segmentation with Just a Few Strokes
* 2016: Artistic Style Transfer for Videos
* 2016: Discriminative Unsupervised Feature Learning with Exemplar Convolutional Neural Networks
* 2016: Inverting Visual Representations with Convolutional Networks
* 2016: Large Dataset to Train Convolutional Networks for Disparity, Optical Flow, and Scene Flow Estimation, A
* 2016: Multi-view 3D Models from Single Images with a Convolutional Network
* 2016: Pixel-Level Encoding and Depth Layering for Instance-Level Semantic Labeling
* 2016: Point-Wise Mutual Information-Based Video Segmentation with High Temporal Consistency
* 2016: q-Space Deep Learning: Twelve-Fold Shorter and Model-Free Diffusion MRI Scans
* 2016: Techniques for Gradient-Based Bilevel Optimization with Non-smooth Lower Level Problems
* 2016: White Matter MS-Lesion Segmentation Using a Geometric Brain Model
* 2017: Chained Multi-stream Networks Exploiting Pose, Motion, and Appearance for Action Classification and Detection
* 2017: DeMoN: Depth and Motion Network for Learning Monocular Stereo
* 2017: End-to-End Learning of Video Super-Resolution with Motion Compensation
* 2017: FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks
* 2017: Joint Graph Decomposition Node Labeling: Problem, Algorithms, Applications
* 2017: Learning to Estimate 3D Hand Pose from Single RGB Images
* 2017: Learning to Generate Chairs, Tables and Cars with Convolutional Networks
* 2017: Octree Generating Networks: Efficient Convolutional Architectures for High-resolution 3D Outputs
* 2017: Spatiotemporal Deformable Prototypes for Motion Anomaly Detection
* 2017: Universal Adversarial Perturbations Against Semantic Image Segmentation
* 2018: Artistic Style Transfer for Videos and Spherical Images
* 2018: DeepTAM: Deep Tracking and Mapping
* 2018: ECO: Efficient Convolutional Network for Online Video Understanding
* 2018: Global, Dense Multiscale Reconstruction for a Billion Points
* 2018: Occlusions, Motion and Depth Boundaries with a Generic Network for Disparity, Optical Flow or Scene Flow Estimation
* 2018: Second Workshop on 3D Reconstruction Meets Semantics: Challenge Results Discussion, The
* 2018: Temporally Consistent Depth Estimation in Videos with Recurrent Architectures
* 2018: Uncertainty Estimates and Multi-hypotheses Networks for Optical Flow
* 2018: What Makes Good Synthetic Training Data for Learning Disparity and Optical Flow Estimation?
* 2019: AutoDispNet: Improving Disparity Estimation With AutoML
* 2019: CAM-Convs: Camera-Aware Multi-Scale Convolutions for Single-View Depth
* 2019: Defending Against Universal Perturbations With Shared Adversarial Training
* 2019: FreiHAND: A Dataset for Markerless Capture of Hand Pose and Shape From Single RGB Images
* 2019: Group Pruning Using a Bounded-Lp Norm for Group Gating and Regularization
* 2019: Lucid Data Dreaming for Video Object Segmentation
* 2019: Overcoming Limitations of Mixture Density Networks: A Sampling and Fitting Framework for Multimodal Future Prediction
* 2019: What Do Single-View 3D Reconstruction Networks Learn?
* 2020: DeepTAM: Deep Tracking and Mapping with Convolutional Neural Networks
* 2020: Editor's Note Special Issue on Computer Vision and Pattern Recognition
* 2020: Motion Segmentation Multiple Object Tracking by Correlation Co-Clustering
* 2020: Multimodal Future Localization and Emergence Prediction for Objects in Egocentric View With a Reachability Prior
* 2021: CrossCLR: Cross-modal Contrastive Learning For Multi-modal Video Representations
* 2021: Essentials for Class Incremental Learning
* 2021: Fostering Generalization in Single-view 3D Reconstruction by Learning a Hierarchy of Local and Global Shape Priors
* 2021: Improving robustness against common corruptions with frequency biased models
* 2021: MAIN: Multi-Attention Instance Network for video segmentation
* 2021: On Exposing the Challenging Long Tail in Future Prediction of Traffic Actors
* 2021: Semi-Supervised Semantic Segmentation With High- and Low-Level Consistency
* 2021: Temporal Shift GAN for Large Scale Video Generation
* 2022: Probing Contextual Diversity for Dense Out-of-Distribution Detection
* 2022: Towards Total Recall in Industrial Anomaly Detection
* 2022: Towards Understanding Adversarial Robustness of Optical Flow Networks
* 2023: Far Away in the Deep Space: Dense Nearest-Neighbor-Based Out-of-Distribution Detection
* 2023: Neural Architecture Search for Dense Prediction Tasks in Computer Vision
* 2023: Object-Centric Multiple Object Tracking
* 2023: Open-vocabulary Attribute Detection
* 2023: Synthetic Dataset Acquisition for a Specific Target Domain
* 2023: Unsupervised Open-Vocabulary Object Localization in Videos
Includes: Brox, T. Brox, T.[Thomas]
153 for Brox, T.
Broxton, M.[Michael]
* 2012: Student's t robust bundle adjustment algorithm
* 2019: DeepView: View Synthesis With Learned Gradient Descent
Broxton, M.J.[Michael J.]
* 2009: 3D Lunar Terrain Reconstruction from Apollo Images
* 2009: bayesian formulation for sub-pixel refinement in stereo orbital imagery, A
* 2009: Photometric Recovery of Ortho-Images Derived from Apollo 15 Metric Camera Imagery
Broxton, P.[Patrick]
* 2014: Intercomparison of Seven NDVI Products over the United States and Mexico
Broxton, P.D.[Patrick D.]
* 2020: Structure from Motion of Multi-Angle RPAS Imagery Complements Larger-Scale Airborne Lidar Data for Cost-Effective Snow Monitoring in Mountain Forests
* 2021: Assessment of Snowfall Accumulation from Satellite and Reanalysis Products Using SNOTEL Observations in Alaska
Broxvall, M.
* 2012: Fast GPU Based Adaptive Filtering of 4D Echocardiography