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