Index for brad

Brad, F. * 2019: Scene Graph Contextualization in Visual Commonsense Reasoning

Brad, R. * 2016: Context-based prediction filtering of impulse noise images
* 2018: Studying the influence of search rule and context shape in filtering impulse noise images with Markov chains
Includes: Brad, R. Brad, R.[Remus]

Brada, R. * 1988: Image Sequence Enhancement Using Sub-Pixel Displacements

Bradai, A.[Abbas] * 2023: Energy Efficiency Optimization in LoRa Networks: A Deep Learning Approach
* 2023: PSCS-Net: Perception Optimized Image Reconstruction Network for Autonomous Driving Systems

Bradak, B.[Balazs] * 2022: LiDAR and UAV SfM-MVS of Merapi Volcanic Dome and Crater Rim Change from 2012 to 2014
* 2023: Introduction to Dione's Wispy Terrain as a Putative Model Region for Micro Wilson Cycles on Icy Satellites
Includes: Bradak, B.[Balazs] Bradák, B.[Balázs]

Bradbeer, R.[Robin] * 2008: Mechatronics and Machine Vision in Practice

Bradburn, B.[Brent] * 2013: Dynamic hierarchical dictionary design for multi-page binary document image compression

Bradburn, B.M.[Brent M.] * 2013: Document image binarization via one-pass local classification

Bradbury, G.[Gwyneth] * 2013: Multi-spectral Material Classification in Landscape Scenes Using Commodity Hardware

Bradbury, K. * 2020: Synthinel-1 dataset: a collection of high resolution synthetic overhead imagery for building segmentation, The
* 2022: Self-Supervised Encoders Are Better Transfer Learners in Remote Sensing Applications
* 2022: Utilizing Geospatial Data for Assessing Energy Security: Mapping Small Solar Home Systems Using Unmanned Aerial Vehicles and Deep Learning
* 2023: Transformers For Recognition In Overhead Imagery: A Reality Check
* 2024: Segment anything, from space?
Includes: Bradbury, K. Bradbury, K.[Kyle]

Bradbury, M.C.[Max C.] * 2021: Using Artificial Neural Networks for the Estimation of Subsurface Tidal Currents from High-Frequency Radar Surface Current Measurements

Bradel, L.[Lauren] * 2013: Bixplorer: Visual Analytics with Biclusters

Bradfield, C.D.[Chris D.] * 2000: Fast Hough Transform for the Parametrisation of Straight Lines using Fourier Methods, A

Bradford, J.[John] * 2021: UAV-Based Estimate of Snow Cover Dynamics: Optimizing Semi-Arid Forest Structure for Snow Persistence

Bradford, J.B. * 2015: Linear Models for Airborne-Laser-Scanning-Based Operational Forest Inventory With Small Field Sample Size and Highly Correlated LiDAR Data

Bradford, K. * 2014: RECOVER: An Automated, Cloud-Based Decision Support System for Post-Fire Rehabilitation Planning

Bradford, M.[Michael] * 2022: Atmospheric Turbulence Removal in Long-Range Imaging Using a Data-Driven-Based Approach
* 2022: Online Adaptive Metrics for Model Evaluation on Non-representative Offline Test Data
Includes: Bradford, M.[Michael] Bradford, M.[Melanie]

Bradford, R.B. * 1992: Preliminary Report on UNLV/GT1: A Database for Ground-truth Testing in Document Analysis and Character Recognition, A

Bradhurst, C.J.[Christopher J.] * 2008: Segmentation of bone marrow stromal cells in phase contrast microscopy images

Bradler, H.[Henry] * 2015: Enhanced Phase Correlation for Reliable and Robust Estimation of Multiple Motion Distributions
* 2015: Statistics of Driving Sequences -- And What We Can Learn from Them, The
* 2017: Joint Epipolar Tracking (JET): Simultaneous Optimization of Epipolar Geometry and Feature Correspondences
Includes: Bradler, H.[Henry] Bradler, H.

Bradley, A. * 2013: Multiple Model Approach to Track Head Orientation With Delta Quaternions, A
* 2021: Cinematic-L1 Video Stabilization with a Log-Homography Model
* 2021: Comparison of Saliency Methods for Deep Learning Explainability, A
* 2021: Multi-weather city: Adverse weather stacking for autonomous driving
* 2023: ROAD: The Road Event Awareness Dataset for Autonomous Driving
* 2023: Temporal DINO: A Self-supervised Video Strategy to Enhance Action Prediction
* 2024: Hybrid Graph Network for Complex Activity Detection in Video, A
Includes: Bradley, A. Bradley, A.[Arwen] Bradley, A.[Andrew]
7 for Bradley, A.

Bradley, A.B. * 2000: Improved Algorithm for Vector Quantizer Design, An
* 2003: Overlap-save convolution applied to wavelet analysis

Bradley, A.P. * 1996: Multiscale Classifier, The
* 1997: Use of the Area Under the ROC Curve in the Evaluation of Machine Learning Algorithms, The
* 1998: Perceptual Quality Metrics Applied To Still Image Compression
* 1999: Wavelet Visible Difference Predictor, A
* 2003: Visual attention for region of interest coding in JPEG 2000
* 2004: Sample size estimation using the receiver operating characteristic curve
* 2006: Rule Extraction from Support Vector Machines: Measuring the Explanation Capability Using the Area under the ROC Curve
* 2007: Comparison of DCT and DWT Block Based Watermarking on Medical Image Quality, A
* 2007: Correspondence-Free Determination of the Affine Fundamental Matrix
* 2007: Face detection in digital images
* 2008: Group-based meta-classification
* 2008: Mixed content image compression by gradient field integration
* 2009: Feature and Classifier Selection for Automatic Classification of Lesions in Dynamic Contrast-Enhanced MRI of the Breast
* 2010: Denoising of Dynamic Contrast-Enhanced MR Images Using Dynamic Nonlocal Means
* 2010: Nearest neighbour group-based classification
* 2010: On the Estimation of Extrinsic and Intrinsic Parameters of Optical Microscope Calibration
* 2011: Evaluation of Multi-resolution Microscope Slide Scanning Algorithms, An
* 2012: Comparison of Multiple Instance and Group Based Learning, A
* 2013: Illumination Effects in Quantitative Virtual Microscopy
* 2013: Performance Analysis of Three Microscope Slide Scanning Techniques
* 2013: ROC curve equivalence using the Kolmogorov-Smirnov test
* 2014: Half-AUC for the evaluation of sensitive or specific classifiers
* 2014: Multiple Instance Learning for Breast Cancer Magnetic Resonance Imaging
* 2015: Anatomical Skin Segmentation in Reflectance Confocal Microscopy with Weak Labels
* 2015: Automated Mass Detection in Mammograms Using Cascaded Deep Learning and Random Forests
* 2015: Deep structured learning for mass segmentation from mammograms
* 2015: Expectation-Maximization with Image-Weighted Markov Random Fields to Handle Severe Pathology
* 2015: Improved Joint Optimization of Multiple Level Set Functions for the Segmentation of Overlapping Cervical Cells, An
* 2017: Automated Analysis of Unregistered Multi-View Mammograms With Deep Learning
* 2017: Mass segmentation in mammograms: A cross-sensor comparison of deep and tailored features
Includes: Bradley, A.P. Bradley, A.P.[Andrew P.] Bradley, A.P.[Andrew Peter]
30 for Bradley, A.P.

Bradley, A.V. * 2012: Global Burned Area Mapping From European Satellites: The Esa Fire_cci Project
* 2022: Multiscale Variability and the Comparison of Ground and Satellite Radar Based Measures of Peatland Surface Motion for Peatland Monitoring
* 2022: Towards a Monitoring Approach for Understanding Permafrost Degradation and Linked Subsidence in Arctic Peatlands
Includes: Bradley, A.V. Bradley, A.V.[Andrew V.]

Bradley, B. * 2005: Automatic Pre-Processing After Image Robustness Analysis
* 2020: Smartphone Placement Within Vehicles

Bradley, C. * 1996: Automated Laser-Scanning Based on Orthogonal Cross-Sections
* 1997: Segmentation of a Wrap-Around Model Using an Active Contour
* 2016: Hierarchical Model Predictive Image-Based Visual Servoing of Underwater Vehicles With Adaptive Neural Network Dynamic Control
* 2017: Cross-Modal Facial Attribute Recognition with Geometric Features

Bradley, C.J. * 2005: investigation of bistatic calibration objects, An
* 2005: investigation of bistatic calibration techniques, An
* 2006: Reply to Correction to An Investigation of Bistatic Calibration Objects

Bradley, C.L. * 2019: Spectral Invariance Hypothesis Study of Polarized Reflectance With the Ground-Based Multiangle Spectro-Polarimetric Imager

Bradley, D.[Derek] * 2008: Accurate multi-view reconstruction using robust binocular stereo and surface meshing
* 2008: Modelling of Behavioural Patterns for Abnormality Detection in the Context of Lifestyle Reassurance
* 2009: Augmented reality on cloth with realistic illumination
* 2009: Synchronization and rolling shutter compensation for consumer video camera arrays
* 2010: Binocular Camera Calibration Using Rectification Error
* 2012: Improved Reconstruction of Deforming Surfaces by Cancelling Ambient Occlusion
* 2013: Local Signal Equalization for Correspondence Matching
* 2013: On the Performance of Negentropy Approximations as Test Statistics for Detecting Sinusoidal RFI in Microwave Radiometers
* 2014: Radio-Frequency Interference Mitigation for the Soil Moisture Active Passive Microwave Radiometer
* 2015: FaceDirector: Continuous Control of Facial Performance in Video
* 2016: Synthetic Prior Design for Real-Time Face Tracking
* 2019: Detection of Radio Frequency Interference in Microwave Radiometers Operating in Shared Spectrum
* 2020: Attention-Driven Cropping for Very High Resolution Facial Landmark Detection
* 2020: ETH-Xgaze: A Large Scale Dataset for Gaze Estimation Under Extreme Head Pose and Gaze Variation
* 2020: Semantic Deep Face Models
* 2021: Adaptive Convolutions for Structure-Aware Style Transfer
* 2022: Convolutions for Spatial Interaction Modeling
* 2023: Continuous Landmark Detection with 3D Queries
* 2023: ReNeRF: Relightable Neural Radiance Fields with Nearfield Lighting
Includes: Bradley, D.[Derek] Bradley, D.[David] Bradley, D. Bradley, D.[Damon]
19 for Bradley, D.

Bradley, E.[Elizabeth] * 2011: Segmentation and Visualization of Multivariate Features Using Feature-Local Distributions
* 2021: Modeling Dynamics of Facial Behavior for Mental Health Assessment
Includes: Bradley, E.[Elizabeth] Bradley, E.[Ellen]

Bradley, H. * 2019: Sub-Pixel Registration Technique for X-ray Phase Contrast Imaging

Bradley, I.[Ian] * 2016: Using a superfluid to image its own vortices

Bradley, J.P. * 2014: Estimation of the OSCAT Spatial Response Function Using Island Targets
* 2014: Estimation of the OSCAT Spatial Response Function Using Island Targets

Bradley, K.W.[Kevin W.] * 2021: Evaluating the Spectral Response and Yield of Soybean Following Exposure to Sublethal Rates of 2,4-D and Dicamba at Vegetative and Reproductive Growth Stages

Bradley, P. * 2006: Segmentation of Drosophila RNAI Fluorescence Images Using Level Sets
* 2011: Improved Feature Detection in Fused Intensity-Range Images with Complex SIFT (CSIFT)

Bradley, P.E.[Patrick Erik] * 2014: Comparing G-maps with other topological data structures
* 2018: Unsupervised Feature Selection Based on Ultrametricity and Sparse Training Data: A Case Study for the Classification of High-Dimensional Hyperspectral Data
* 2019: Evaluation of Topological Consistency in CityGML
* 2020: Geospatial Data Management Research: Progress and Future Directions
* 2022: Robustness Study for the Extraction of Watertight Volumetric Models from Boundary Representation Data, A
* 2022: Topological Access Methods for Spatial and Spatiotemporal Data

Bradley, P.S. * 2000: Clustering Very Large Databases Using EM Mixture Models

Bradley, S. * 2013: Combined Microphone and Camera Calibration Technique With Application to Acoustic Imaging, A
* 2019: Ultrasonic Arrays for Remote Sensing of Pasture Biomass
* 2019: Ultrasonic Proximal Sensing of Pasture Biomass
* 2020: Irrigation Control through Acoustic Proximal Sensing of the Onset of Surface Water
Includes: Bradley, S. Bradley, S.[Stuart]

Bradshaw, A.P.[Andrew P.] * 2008: Active surface modeling at CT resolution limits with micro CT ground truth
* 2013: Augmented Active Surface Model for the Recovery of Small Structures in CT

Bradshaw, D. * 1997: Gradient Based Fast Search Algorithm for Warping Motion Compensation Schemes, A

Bradshaw, J.M.[Jeffrey M.] * 2015: Principles for Human-Centered Interaction Design, Part 2: Can Humans and Machines Think Together?

Bradshaw, K.J.[Kevin J.] * 1993: Saccade and Pursuit on an Active Head Eye Platform
* 1994: Saccade and Pursuit on an Active Head Eye Platform
* 1994: Surveillance of Dynamic Scenes with an Active Vision System
* 1995: Driving Saccade to Pursuit Using Image Motion
* 1997: Active Recovery of 3D Motion Trajectories and Their Use in Prediction, The
Includes: Bradshaw, K.J.[Kevin J.] Bradshaw, K.J.

Bradshaw, M. * 1992: Machine Vision Inspection of Web Textile Fabric

Bradski, G. * 1995: Fast-Learning Viewnet Architectures for Recognizing 3-Dimensional Objects from Multiple 2-Dimensional Views
* 2002: Guest Editorial: Stereo and Multi-Baseline Vision
* 2009: Detecting and segmenting objects for mobile manipulation
* 2010: Depth-Encoded Hough Voting for Joint Object Detection and Shape Recovery
* 2011: CAD-model recognition and 6DOF pose estimation using 3D cues
* 2011: ORB: An efficient alternative to SIFT or SURF
* 2011: Toward Automatic 3D Generic Object Modeling from One Single Image
* 2012: Model Based Training, Detection and Pose Estimation of Texture-Less 3D Objects in Heavily Cluttered Scenes
* 2012: Technical Demonstration on Model Based Training, Detection and Pose Estimation of Texture-Less 3D Objects in Heavily Cluttered Scenes
* 2013: Object detection, shape recovery, and 3D modelling by depth-encoded hough voting
* 2014: Anisotropic Agglomerative Adaptive Mean-Shift
* 2020: Kornia: an Open Source Differentiable Computer Vision Library for PyTorch
Includes: Bradski, G. Bradski, G.[Gary]
12 for Bradski, G.

Bradski, G.R. * 1998: Computer Vision Face Tracking for Use in a Perceptual User Interface
* 1998: Real Time Face and Object Tracking as a Component of a Perceptual User Interface
* 1999: Real-time Motion Template Gradients using Intel CVLib
* 2000: Intel's Computer Vision Library: applications in calibration, stereo segmentation, tracking, gesture, face and object recognition
* 2000: Motion Segmentation and Pose Recognition with Motion History Gradients
* 2000: Stereo based Gesture Recognition Invariant to 3D Pose and Lighting
* 2001: Communication via Eye Blinks: Detection and Duration Analysis in Real Time
* 2002: Interface using pattern recognition and tracking
* 2002: Motion Segmentation and Pose Recognition with Motion History Gradients
* 2002: OpenCV: Examples of Use and New Applications in Stereo, Recognition and Tracking
* 2003: Computer vision control variable transformation
* 2003: Motion detection using normal optical flow
* 2003: Motion detection using normal optical flow
* 2004: dynamic bayesian network approach to multi-cue based visual tracking, A
* 2004: Open Source Computer Vision Library
* 2006: Detection of Drivable Corridors for Off-Road Autonomous Navigation
* 2008: Learning OpenCV Computer Vision with the OpenCV Library
* 2012: codebook-free and annotation-free approach for fine-grained image categorization, A
Includes: Bradski, G.R. Bradski, G.R.[Gary R.] Bradski, G.R.[Gary Rost]
18 for Bradski, G.R.

Bradstreet, J.D.[John D.] * 1987: ITA Range Image Processing System, The

Bradter, U.[Ute] * 2015: Wide-area mapping of small-scale features in agricultural landscapes using airborne remote sensing

Bradtke, K. * 2016: Object-oriented approach to oil spill detection using ENVISAT ASAR images
* 2021: Landsat 8 Data as a Source of High Resolution Sea Surface Temperature Maps in the Baltic Sea
* 2022: Advances in Remote Sensing of the Inland and Coastal Water Zones
* 2023: Cyanobacteria Index as a Tool for the Satellite Detection of Cyanobacteria Blooms in the Baltic Sea
Includes: Bradtke, K. Bradtke, K.[Katarzyna]

Bradtke, K.M.[Katarzyna M.] * 2016: Empirical Model for Phycocyanin Concentration Estimation as an Indicator of Cyanobacterial Bloom in the Optically Complex Coastal Waters of the Baltic Sea

Bradway, D.P. * 2016: Feasibility of Swept Synthetic Aperture Ultrasound Imaging

Brady, D.[David] * 2013: Coded Hyperspectral Imaging and Blind Compressive Sensing
* 2015: Signal Recovery and System Calibration from Multiple Compressive Poisson Measurements
* 2020: PANDA: A Gigapixel-Level Human-Centric Video Dataset
* 2021: CrossNet++: Cross-Scale Large-Parallax Warping for Reference-Based Super-Resolution
Includes: Brady, D.[David] Brady, D.

Brady, D.J.[David J.] * 1999: Three-Dimensional Surface Reconstruction of Optical Lambertian Objects Using Cone-Beam Tomography
* 2008: Fast disambiguation of superimposed images for increased field of view
* 2010: Computational photography and compressive holography
* 2013: Adaptive temporal compressive sensing for video
* 2013: Gaussian mixture model for video compressive sensing
* 2014: Compressed sampling strategies for tomography
* 2014: Low-Cost Compressive Sensing for Color Video and Depth
* 2014: Metamaterial microwave holographic imaging system
* 2014: Video Compressive Sensing Using Gaussian Mixture Models
* 2015: Alternating Minimization Algorithm with Automatic Relevance Determination for Transmission Tomography under Poisson Noise
* 2015: Compressive Sensing by Learning a Gaussian Mixture Model From Measurements
* 2016: Computational Snapshot Multispectral Cameras: Toward dynamic capture of the spectral world
* 2019: Rank Minimization for Snapshot Compressive Imaging
* 2021: Compressive Sampling for Array Cameras
* 2021: Snapshot Compressive Imaging: Theory, Algorithms, and Applications
* 2023: Computational Imaging and Artificial Intelligence: The Next Revolution of Mobile Vision
Includes: Brady, D.J.[David J.] Brady, D.J.
16 for Brady, D.J.

Brady, J.M.[J. Michael] * 1985: Describing Surfaces
* 1985: Describing Surfaces
* 1989: Special Issue on Sensor Data Fusion
* 1990: computation of deformation and rotation in stereopsis, The
* 1990: fast algorithm for computing optic flow and its implementation on a Transputer array, A
* 1990: Integrating stereo and photometric stereo to monitor the development of glaucoma
* 1990: Prediction of stereo disparity using optical flow
* 1991: Integrating stereo and photometric stereo to monitor the development of glaucoma
* 1991: Modal Approach to Feature-Based Correspondence
* 1991: Optic Disk Boundary Detection
* 1991: Recognizing Parameterized Objects Using 3D Edges
* 1992: Feature-Based Correspondence: An Eigenvector Approach
* 1992: Matching and Tracking Strategy for Independently Moving Objects, A
* 1992: Model-Based Recognition and Range Imaging for a Guided Vehicle
* 1993: Extracting Structure from an Affine View of a 3D Point Set with One or 2 Bilateral Symmetries
* 1993: Recognition of Object Classes from Range Data
* 1993: Self-Calibration of the Intrinsic Parameters of Cameras for Active Vision Systems
* 1994: Extracting Structure from an Affine View of a 3D Point Set with One or 2 Bilateral Symmetries
* 1994: Recognition of Parameterized Objects from 3D Data: A Parallel Implementation
* 1994: Rejecting Outliers and Esitmating Errors in an Orthogonal Regression Framework
* 1995: ASSET-2: Real-Time Motion Segmentation and Shape Tracking
* 1995: ASSET-2: Real-Time Motion Segmentation and Shape Tracking
* 1995: Recognition of Object Classes from Range Data
* 1995: Susan: A New Approach to Low-Level Image-Processing
* 1996: Fast Computation of the Fundamental Matrix for an Active Stereo Vision System
* 1997: Susan: A New Approach to Low-Level Image-Processing
* 1997: Vision-Based detection of Kerbs and Steps
* 1998: Stereo Vision-Based Aid for the Visually-Impaired, A
* 2000: Vision-Based Detection of Staircases
* 2001: Segmentation of brain MR images through a hidden Markov random field model and the expectation-maximization algorithm
* 2002: Nonrigid registration of 3-D free-hand ultrasound images of the breast
* 2004: Fully Bayesian Spatio-Temporal Modeling of FMRI Data
* 2004: Non-Rigid Motion Estimation and Spatio-Temporal Realignment in FMRI
* 2005: Non-rigid Registration for Colorectal Cancer MR Images
* 2007: Integrating temporal information with a non-rigid method of motion correction for functional magnetic resonance images
* 2009: Probabilistic Models for Shapes as Continuous Curves
Includes: Brady, J.M.[J. Michael] Brady, J.M.
36 for Brady, J.M.

Brady, J.P. * 1988: Recent Progress in the Recognition of Objects from Range Data
* 1988: Recent Progress in the Recognition of Objects from Range Data
* 1989: Recent Progress in the Recognition of Objects from Range Data

Brady, K.[Karen] * 2003: Adaptive Probabilistic Models of Wavelet Packets for the Analysis and Segmentation of Textured Remote Sensing Images
* 2003: Probabilistic Framework for Adaptive Texture Description, A
* 2003: Texture analysis: an adaptive probabilistic approach
* 2004: Models of the Unimodal and Multimodal Statistics of Adaptive Wavelet Packet Coefficients
* 2007: MIT Lincoln Laboratory Multimodal Person Identification System in the CLEAR 2007 Evaluation
* 2016: How deep neural networks can improve emotion recognition on video data
Includes: Brady, K.[Karen] Brady, K.[Kevin] Brady, K.

Brady, M. * 1979: Finding the Axis of an Egg
* 1979: Inferring the Direction of the Sun from Intensity Values on a Generalized Cone
* 1980: Shape Encoding and Subjective Contours
* 1980: Toward a Computational Theory of Early Visual Processing in Reading
* 1981: Changing Shape of Computer Vision, The
* 1981: Computational Approaches to Image Understanding
* 1981: Computer Vision
* 1981: Computer Vision
* 1981: Perception of Subjective Surfaces, The
* 1981: Rotationally Symmetric Operators for Surface Interpolation
* 1982: Computational Approaches to Image Understanding
* 1982: Computer Vision: Correspondent's Report
* 1982: Rotationally Symmetric Operators for Surface Interpolation
* 1982: Smoothed Local Symmetries and Local Frame Propagation
* 1983: Criteria for Representation of Shapes
* 1983: Extremum Principle for Shape from Contour, An
* 1983: Extremum Principle for Shape from Contour, An
* 1983: Parallelism in Vision: Correspondent's Report
* 1983: Rotationally Symmetric Operators for Surface Interpolation
* 1984: Curvature Primal Sketch, The
* 1984: Curvature Primal Sketch, The
* 1984: Extremum Principle for Shape from Contour, An
* 1984: Robotics Research: The First International Symposium
* 1984: Smoothed Local Symmetries and Their Implementation
* 1984: Smoothed Local Symmetries and Their Implementation
* 1985: Generating and Generalizing Models of Visual Objects
* 1985: Learning Shape Descriptions
* 1985: Toward a Surface Primal Sketch
* 1985: Toward a Surface Primal Sketch
* 1986: Curvature Primal Sketch, The
* 1987: Generating and Generalizing Models of Visual Objects
* 1987: On the Geometric Interpretation of Image Contours
* 1987: Toward a Surface Primal Sketch
* 1988: On the Geometric Interpretation of Image Contours
* 1989: Robotics Science
* 1990: Parallel Computation of Optic Flow
* 1990: Stereo Matching of Curves
* 1991: Gaze Control for a Two-Eyed Robot Head
* 1991: Kinematics and Eye Movements for a Two-Eyed Robot Head, The
* 1992: parallel implementation of a structure-from-motion algorithm, A
* 1994: Four-Degree-of-Freedom Robot Head for Active Vision, A
* 1994: Motion from Point Matches Using Affine Epipolar Geometry
* 1994: Practical Solution to Corner Detection, A
* 1995: 3D Motion Recovery via Affine Epipolar Geometry
* 1995: Closing the Loop on Multiple Motions
* 1995: Closing the Loop on Multiple Motions
* 1995: Finding Curvilinear Structures in Mammograms
* 1995: Model-Based Image-Enhancement of Far-Infrared Images
* 1995: Real-Time Corner Detection Algorithm for Motion Estimation
* 1995: Representation for Mammographic Image Processing, A
* 1996: Ground Plane Motion Camera Models
* 1996: Isotropic Corner and Edge Detection
* 1996: Model-Based Image-Enhancement of Far-Infrared Images
* 1996: On the Appropriateness of Camera Models
* 1996: Symmetry Analysis Through Wave Propagation
* 1997: Estimating the bias field of MR images
* 1997: Model-Based Image-Enhancement of Far-Infrared Images
* 1998: Correspondence Between two Different Views of X-Ray Mammograms Using Simulation of Breast Deformation
* 1998: Modeling the Ground Plane Transformation for Real-Time Obstacle Detection
* 1998: Stereo Vision-based Obstacle Detection for Partially Sighted People
* 1999: Mammographic Image Analysis
* 1999: non-rigid registration algorithm for dynamic breast MR images, A
* 1999: Robotic Sensing for the Partially Sighted
* 2000: Active Contour Road Model for Smart Vehicle
* 2000: Practical Structure and Motion from Stereo When Motion is Unconstrained
* 2001: Correspondence between Different View Breast X Rays Using Curved Epipolar Lines
* 2001: Saliency, Scale and Image Description
* 2001: Three-dimensional reconstruction of microcalcification clusters from two mammographic views
* 2002: saliency-based hierarchy for local symmetries, A
* 2002: Segmentation of ultrasound B-mode images with intensity inhomogeneity correction
* 2003: Road feature detection and estimation
* 2003: Unsupervised non-parametric region segmentation using level sets
* 2003: Visual enhancement of incised text
* 2004: Affine Invariant Salient Region Detector, An
* 2004: Enhancement and feature extraction for images of incised and ink texts
* 2004: Linguistic Feature Vector for the Visual Interpretation of Sign Language, A
* 2004: On the Choice of Band-Pass Quadrature Filters
* 2005: Curvilinear Structure Based Mammographic Registration
* 2005: Estimating statistics in arbitrary regions of interest
* 2005: Fluid Registration of Ultrasound using Multi-scale Phase Estimates
* 2005: New Technique for Local Symmetry Estimation, A
* 2005: non-parametric model for partial volume segmentation of MR images, A
* 2005: Registration Framework for the Comparison of Mammogram Sequences, A
* 2005: Structural Comparison of Mammograms
* 2006: Invariant salient regions based image retrieval under viewpoint and illumination variations
* 2006: Optimizing the selection of Flip Angle acquisitions for T1 measurement in Breast
* 2006: Specific object retrieval based on salient regions
* 2008: Locally Rotation, Contrast, and Scale Invariant Descriptors for Texture Analysis
* 2009: Camera calibration for natural image studies and vision research
* 2009: Functional Imaging of Tendon
* 2010: Improved Landmark Localization in Medical Images Using Dense Matching of Graphical Models
* 2010: Non-Parametric Mixture Model Based Evolution of Level Sets and Application to Medical Images
* 2011: Motion Correction and Attenuation Correction for Respiratory Gated PET Images
* 2012: Automatic segmentation of adherent biological cell boundaries and nuclei from brightfield microscopy images
* 2012: On the Use of Low-Pass Filters for Image Processing with Inverse Laplacian Models
* 2013: Deep Zoom tool for advanced interactivity with high-resolution images
* 2013: MRF-Based Deformable Registration and Ventilation Estimation of Lung CT
* 2014: Learning New Parts for Landmark Localization in Whole-Body CT Scans
* 2015: Personalized Graphical Models for Anatomical Landmark Localization in Whole-Body Medical Images
* 2015: Shape Description and Matching Using Integral Invariants on Eccentricity Transformed Images
* 2016: Enabling Stem Cell Characterization from Large Microscopy Images
* 2016: Methodology for Increasing the Measurement Accuracy of Image Features
* 2018: Fast Groupwise 4D Deformable Image Registration for Irregular Breathing Motion Estimation
* 2019: Comparison and Assessment of Regional and Global Land Cover Datasets for Use in CLASS over Canada
Includes: Brady, M. Brady, M.[Mike] Brady, M.[Michael] Brady, M.[Mark] Brady, M.[Mary]
104 for Brady, M.

Brady, M.J.[Michael J.] * 1995: 2D phase-independent local features for texture segmentation
* 1996: Feature Selection for Texture Segmentation
* 1996: Texture Segmentation Using Local Energy in Wavelet Scale Space
* 1997: Method and apparatus for background determination and subtraction for a monocular vision system
Includes: Brady, M.J.[Michael J.] Brady, M.J.[Mark J.]

Brady, M.L.[Martin L.] * 1998: Fast Discrete Approximation Algorithm for the Radon Transform, A

Brady, N.[Noel] * 1996: Object Detection and Tracking Using an EM-Based Motion Estimation and Segmentation Framework
* 1997: Context-Based Arithmetic Encoding of 2D Shape Sequences
* 1999: MPEG-4 standardized methods for the compression of arbitrarily shaped video objects
* 2000: Shape compression of moving objects using context-based arithmetic encoding
Includes: Brady, N.[Noel] Brady, N.

Brady, R.[Rachael] * 2008: VR Visualisation as an Interdisciplinary Collaborative Data Exploration Tool for Large Eddy Simulations of Biosphere-Atmosphere Interactions

Brady, S.M.[Sir Michael] * 2011: Deformable multimodal registration with gradient orientation based on structure tensors
* 2011: Simplified Computation for Nonparametric Windows Method of Probability Density Function Estimation
* 2017: Mass Transportation for Deformable Image Registration with Application to Lung CT
* 2019: Segmentation of Vasculature From Fluorescently Labeled Endothelial Cells in Multi-Photon Microscopy Images
Includes: Brady, S.M.[Sir Michael] Brady, S.M.

Brady, S.P.[Spencer P.] * 2009: Reconstructing FT-IR spectroscopic imaging data with a sparse prior

Brady, T.J. * 2019: Sparse Non-Negative Matrix Factorization Framework for Identifying Functional Units of Tongue Behavior From MRI, A

Index for "b"


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