Index for fors

Fors, O.[Octavi] * 1999: Image fusion with additive multiresolution wavelet decomposition. Applications to SPOT and Landsat images
* 1999: Multiresolution-Based Image Fusion with Additive Wavelet Decomposition
* 2006: Low Computational-Cost Method to Fuse IKONOS Images Using the Spectral Response Function of Its Sensors, A
* 2006: Wavelet-Based Method for the Determination of the Relative Resolution Between Remotely Sensed Images, A
Includes: Fors, O.[Octavi] Fors, O.

Forsberg, A.[Andrew] * 2005: ADVISER: Immersive Scientific Visualization Applied to Mars Research and Exploration

Forsberg, A.K. * 2009: collaborative visualization environment for natural interaction with architectural content, A

Forsberg, D.[Daniel] * 2010: Parallel Scales for More Accurate Displacement Estimation in Phase-Based Image Registration
* 2011: Model-Based Transfer Functions for Efficient Visualization of Medical Image Volumes
* 2011: Using the Local Phase of the Magnitude of the Local Structure Tensor for Image Registration
* 2012: Globally optimal displacement fields using local tensor metric
* 2012: Multi-modal Image Registration Using Polynomial Expansion and Mutual Information
* 2012: Non-rigid Diffeomorphic Image Registration of Medical Images Using Polynomial Expansion
* 2014: Evaluating Cell Nuclei Segmentation for Use on Whole-Slide Images in Lung Cytology
7 for Forsberg, D.

Forsberg, F. * 2003: ROC analysis of ultrasound tissue characterization classifiers for breast cancer diagnosis
* 2013: Estimation of affine transformations directly from tomographic projections in two and three dimensions
Includes: Forsberg, F. Forsberg, F.[Fredrik]

Forsberg, J. * 1995: Mobile Robot Navigation Using the Range-Weighted Hough Transform

Forsberg, R.[Rene] * 2015: Airborne Gravity Data Denoising Based on Empirical Mode Decomposition: A Case Study for SGA-WZ Greenland Test Data
* 2018: Improvement of Downward Continuation Values of Airborne Gravity Data in Taiwan
* 2018: Validation of CryoSat-2 SARIn Data over Austfonna Ice Cap Using Airborne Laser Scanner Measurements
* 2019: Integrated View of Greenland Ice Sheet Mass Changes Based on Models and Satellite Observations, An
* 2019: New Results from Strapdown Airborne Gravimetry Using Temperature Stabilisation
* 2021: Multi-peak Retracking of CryoSat-2 SARIn Waveforms Over Arctic Sea Ice
* 2022: Epoch-Based Height Reference System for Sea Level Rise Impact Assessment on the Coast of Peninsular Malaysia
Includes: Forsberg, R.[Rene] Forsberg, R.[René]
7 for Forsberg, R.

Forsch, C.[Christian] * 2021: Analysis of Neural Image Compression Networks for Machine-To-Machine Communication

Forsen, G. * 1968: Processing Visual Data with an Automaton Eye

Forsey, D. * 2020: Eelgrass Mapping In Atlantic Canada Using Worldview-2 Imagery

Forsgren, P.O. * 1990: Interobject Distance Measure Based on Medial Axes Retrieved from Discrete Distance Maps, An

Forshaw, M.R.B. * 1986: Pattern Storage and Associative Memory in Quasi-Neural Networks
* 1988: Speeding Up the Marr-Hildreth Edge Operator
* 1992: Recognition of volcanoes on Venus using correlation methods
* 1993: Recognition of volcanoes on Venus using correlation methods

Forslid, G. * 2017: Deep Convolutional Neural Networks for Detecting Cellular Changes Due to Malignancy

Forslow, N.[Nicklas] * 2011: Stabilizing cell phone video using inertial measurement sensors

Forsman, M. * 2012: Estimation Of Tree Stem Attributes Using Terrestrial Photogrammetry
* 2018: Bias of cylinder diameter estimation from ground-based laser scanners with different beam widths: A simulation study
Includes: Forsman, M. Forsman, M.[Mona]

Forsman, P. * 2004: Feature based registration of range images for mapping of natural outdoor environments

Forsmo, S.P.E.[Seija P.E.] * 2015: Automated measurement of sintering degree in optical microscopy through image analysis of particle joins

Forsmoo, A.[Anders] * 1997: Parallel Distance Transform Algorithms on a General SIMD Computer
* 1999: distance transform algorithm on a two-processor computer, The
Includes: Forsmoo, A.[Anders] Forsmoo, A.

Forssen, P. * 2000: On the direct Fourier method for computer tomography
* 2011: Model-Based Video Coding Using Colour and Depth Cameras
* 2014: Anisotropic Scattered Data Interpolation for Pushbroom Image Rectification
* 2018: Density Adaptive Point Set Registration
* 2018: Spline Error Weighting for Robust Visual-Inertial Fusion
Includes: Forssen, P. Forssén, P.

Forssen, P.E.[Per Erik] * 2003: Robust Multi-scale Extraction of Blob Features
* 2003: Two-Dimensional Channel Representation for Multiple Velocities
* 2005: View Matching with Blob Features
* 2006: Autonomous Learning of Object Appearances using Colour Contour Frames
* 2006: Channel Smoothing: Efficient Robust Smoothing of Low-Level Signal Features
* 2007: Learning Saccadic Gaze Control via Motion Prediciton
* 2007: Maximally Stable Colour Regions for Recognition and Matching
* 2007: Shape Descriptors for Maximally Stable Extremal Regions
* 2009: Combining shadow detection and simulation for estimation of vehicle size and position
* 2009: Fast and Accurate Structure and Motion Estimation
* 2009: Patch Contour Matching by Correlating Fourier Descriptors
* 2009: View Matching with Blob Features
* 2010: Rectifying rolling shutter video from hand-held devices
* 2011: Channel Coding for Joint Colour and Depth Segmentation
* 2011: Correlating fourier descriptors of local patches for road sign recognition
* 2011: Scan rectification for structured light range sensors with rolling shutters
* 2011: Stabilizing cell phone video using inertial measurement sensors
* 2011: Structure and motion estimation from rolling shutter video
* 2011: Using Fourier Descriptors and Spatial Models for Traffic Sign Recognition
* 2012: Efficient Video Rectification and Stabilisation for Cell-Phones
* 2012: Rolling shutter bundle adjustment
* 2012: Teaching Stereo Perception to YOUR Robot
* 2013: Why would I want a gyroscope on my RGB-D sensor?
* 2014: virtual tripod for hand-held video stacking on smartphones, A
* 2016: Efficient Multi-frequency Phase Unwrapping Using Kernel Density Estimation
* 2016: Improving Random Forests by Correlation-Enhancing Projections and Sample-Based Sparse Discriminant Selection
* 2017: BriefMatch: Dense Binary Feature Matching for Real-Time Optical Flow Estimation
* 2017: What Is the Best Depth-Map Compression for Depth Image Based Rendering?
* 2020: Registration Loss Learning for Deep Probabilistic Point Set Registration
* 2021: Practical Pose Trajectory Splines With Explicit Regularization
Includes: Forssen, P.E.[Per Erik] Forssén, P.E.[Per-Erik] Forssen, P.E.[Per-Erik] Forssén, P.E.
30 for Forssen, P.E.

Forsstrom, P.[Petri] * 2018: Evaluation of Accuracy and Practical Applicability of Methods for Measuring Leaf Reflectance and Transmittance Spectra
* 2020: Empirical validation of photon recollision probability in single crowns of tree seedlings
* 2021: Empirical validation of photon recollision probability in single crowns of tree seedlings
Includes: Forsstrom, P.[Petri] Forsström, P.[Petri] (Maybe also Forsstroem, P.)

Forste, C.[Christoph] * 2019: GFZ GRACE RL06 Monthly Gravity Field Time Series: Processing Details and Quality Assessment, The
* 2019: Improving the Performance of Multi-GNSS (Global Navigation Satellite System) Ambiguity Fixing for Airborne Kinematic Positioning over Antarctica
Includes: Forste, C.[Christoph] Förste, C.[Christoph] (Maybe also Foerste, C.)

Forster Heinlein, B.[Brigitte] * 2007: H2O: Reversible Hexagonal-Orthogonal Grid Conversion by 1-D Filtering
* 2008: Reversible, Fast, and High-Quality Grid Conversions
Includes: Forster Heinlein, B.[Brigitte] Forster-Heinlein, B.[Brigitte]

Forster, A.[Andreas] * 2014: Pose Normalization for Eye Gaze Estimation and Facial Attribute Description from Still Images
* 2015: Background modeling for generative image models
* 2016: Occlusion-aware 3D Morphable Face Models

Forster, B. * 2004: Isotropic-polyharmonic B-splines and wavelets
* 2010: Steerable Wavelet Frames Based on the Riesz Transform
* 2017: Multigrid Convergence for the MDCA Curvature Estimator
Includes: Forster, B. Forster, B.[Brigitte]

Forster, B.C. * 1997: Radar Backscatter Analysis for Urban Environments
* 1997: Street Orientation Detection and Recognition in Landsat TM and SPOT HRV Imagery
* 2001: Toward Edge Sharpening: A SAR Speckle Filtering Algorithm
* 2012: Development of A Model To Correct Multi-view Angle Above Water Measurements for The Analysis of The Bidirectional Reflectance of Coral And Other Reef Substrates

Forster, C.H.Q.[Carlos Henrique Quartucci] * 2021: Audio-Based Machine Learning Model for Traffic Congestion Detection

Forster, D. * 2013: Home Alone: Social Robots for Digital Ethnography of Toddler Behavior
* 2014: Towards Automated Understanding of Student-Tutor Interactions Using Visual Deictic Gestures
* 2015: Deep Q-learning for Active Recognition of GERMS: Baseline performance on a standardized dataset for active learning
* 2017: Deep active object recognition by joint label and action prediction
* 2018: Evaluation of Pseudonym Changes for Vehicular Networks in Large-Scale, Realistic Traffic Scenarios, An
* 2019: k-means as a variational EM approximation of Gaussian mixture models
* 2022: Variational EM Acceleration for Efficient Clustering at Very Large Scales, A
Includes: Forster, D. Forster, D.[Deborah] Förster, D. (Maybe also Foerster, D.)Forster, D.[Dennis]
7 for Forster, D.

Forster, F. * 2001: Hiscore Camera: A Real Time Three Dimensional and Color Camera, The
* 2002: Real-time range imaging for dynamic scenes using colour-edge based structured light
* 2005: Real-time acquisition of depth and color images using structured light and its application to 3D face recognition
* 2006: High-Resolution and High Accuracy Real-Time 3D Sensor Based on Structured Light, A
* 2011: Fast and Accurate 3D Scanning Using Coded Phase Shifting and High Speed Pattern Projection
* 2014: Automated detection of polysomes in cryoelectron tomography
* 2021: Multi-Task Multi-Domain Learning for Digital Staining and Classification of Leukocytes
Includes: Forster, F. Forster, F.[Frank] Forster, F.[Friedrich]
7 for Forster, F.

Forster, J.[Jens] * 2008: Efficient approximations to model-based joint tracking and recognition of continuous sign language
* 2010: Package Boosting for Readaption of Cascaded Classifiers
* 2012: Analysis of Preprocessing Techniques for Latin Handwriting Recognition
* 2012: Moment-Based Image Normalization for Handwritten Text Recognition
* 2013: Modality Combination Techniques for Continuous Sign Language Recognition
* 2015: Continuous sign language recognition: Towards large vocabulary statistical recognition systems handling multiple signers
* 2017: Measurements of Sea Clutter at Low Grazing Angle in Mediterranean Coastal Environment
* 2018: Radar Propagation Experiment in the North Sea: The Sylt Campaign
Includes: Forster, J.[Jens] Forster, J.[Julian] Förster, J. (Maybe also Foerster, J.)
8 for Forster, J.

Forster, M. * 2006: Integration of ancillary information into object-based Classification for Detection of Forest Structures and habitats
* 2009: Towards an intra-annual vegetation analysis: The concept of a phenologic library
* 2010: Object-Based Change Detection Analysis for the Monitoring of Habitats in the Framework of the Natura 2000 Directive with Multi-Temporal Satellite Data
* 2010: review of the combination of spectral and geometric modelling for the application in forest remote sensing, A
* 2011: Towards Detecting Swath Events in TerraSAR-X Time Series to Establish NATURA 2000 Grassland Habitat Swath Management as Monitoring Parameter
* 2011: Utilization of spectral measurements and phenological observations to detect grassland-habitats with a RapidEye intra-annual time-series
* 2012: Towards Detecting Swath Events in TerraSAR-X Time Series to Establish NATURA 2000 Grassland Habitat Swath Management as Monitoring Parameter
* 2013: Estimation and Mapping of Carbon Stocks in Riparian Forests by using a Machine Learning Approach with Multiple Geodata
* 2014: Significance Analysis of Different Types of Ancillary Geodata Utilized in a Multisource Classification Process for Forest Identification in Germany
* 2015: Coupling of phenological information and synthetically generated time-series for crop types as indicator for vegetation coverage information
* 2015: Evaluating the temporal stability of synthetically generated time-series for crop types in Central Germany
* 2015: Prediction of NDVI for grassland habitats by fusing RapidEye and Landsat imagery
* 2015: Spectral Unmixing of Forest Crown Components at Close Range, Airborne and Simulated Sentinel-2 and EnMAP Spectral Imaging Scale
* 2017: Detecting the spread of invasive species in central Chile with a Sentinel-2 time-series
* 2020: Challenges in UAS-Based TIR Imagery Processing: Image Alignment and Uncertainty Quantification
Includes: Forster, M. Förster, M. (Maybe also Foerster, M.)Förster, M.[Michael] (Maybe also Foerster, M.)Forster, M.[Michael]
15 for Forster, M.

Forster, P. * 2014: New SAR Algorithm Based on Orthogonal Projections for MMT Detection and Interference Reduction
* 2017: Moving Targets Detection Capacities Improvement in Multichannel SAR Framework
* 2019: Asymptotic Performance of Complex M-Estimators for Multivariate Location and Scatter Estimation

Forster, R. * 2020: Probabilistic Automated Isochrone Picking Routine to Derive Annual Surface Mass Balance From Radar Echograms, A

Forster, R.R. * 2003: Fusion of hyperspectral and radar data using the IHS transformation to enhance urban surface features
* 2003: Measurement of glacier geophysical properties from insar wrapped phase
* 2014: Prevalence of Pure Versus Mixed Snow Cover Pixels across Spatial Resolutions in Alpine Environments
* 2016: Automated Approach for Mapping Persistent Ice and Snow Cover over High Latitude Regions, An
* 2016: Automated mapping of persistent ice and snow cover across the western U.S. with Landsat
* 2022: Interpreting Sentinel-1 SAR Backscatter Signals of Snowpack Surface Melt/Freeze, Warming, and Ripening, through Field Measurements and Physically-Based SnowModel
Includes: Forster, R.R. Forster, R.R.[Richard R.]

Forster, T.[Thorsten] * 2015: Metropolises in the Twittersphere: An Informetric Investigation of Informational Flows and Networks
Includes: Forster, T.[Thorsten] Förster, T.[Thorsten] (Maybe also Foerster, T.)

Forsthoefel Fitzgerald, D.[Dana] * 2017: Real-time, parallel segmentation of high-resolution images on multi-core platforms

Forsthoefel, D.[Dana] * 2010: Chromatic Sensitivity of Illumination Change Compensation Techniques
* 2011: BigBackground-Based Illumination Compensation for Surveillance Video
* 2011: Illumination change compensation techniques to improve kinematic tracking
* 2012: Leap segmentation for recovering image surface layout

Forstmaier, A.[Andreas] * 2020: Mapping of Eucalyptus in Natura 2000 Areas Using Sentinel 2 Imagery and Artificial Neural Networks

Forstmann, S.[Sven] * 2004: Real-Time Stereo by using Dynamic Programming

Forstner, A.[Andreas] * 2015: High-accuracy 3D image stitching for robot-based inspection systems

Forstner, J.[Jochen] * 2022: Comparison of Scanning LiDAR with Other Remote Sensing Measurements and Transport Model Predictions for a Saharan Dust Case
Includes: Forstner, J.[Jochen] Förstner, J.[Jochen] (Maybe also Foerstner, J.)

Forstner, W. * 1982: On the Geometric Precision of Digital Correlation
* 1984: Quality Assessment of Object Location and Point Transfer Using Digital Image Correlation Techniques
* 1986: Digital Image Matching Techniques for Standard Photogrammetric Applications
* 1986: Feature Based Correspondence Algorithm for Image Matching, A
* 1987: fast operator for detection and precise location of distinct points, corners and centres of circular features, A
* 1987: Reliability Analysis of Parameter Estimation in Linear Models with Applications to Mensuration Problems in Computer Vision
* 1988: Precision of a Digital Camera, The
* 1992: Image Matching
* 1992: MDL-principled evolutionary mechanism to automatic architecturing of pattern recognition neural network, An
* 1993: future of photogrammetric research, A
* 1994: Diagnostics and Performance Evaluation in Computer Vision
* 1994: Framework For Low Level Feature Extraction, A
* 1995: Mid-Level Vision Processes for Automatic Building Extraction
* 1995: Polymorphic Grouping for Image Segmentation
* 1995: Towards Automatic Building Extraction from High-Resolution Digital Elevation Models
* 1996: 10 Pros and Cons Against Performance Characterisation of Vision Algorithms
* 1997: Performance-Characteristics Of Vision Algorithms
* 1998: Extracting Buildings from Aerial Images Using Hierarchical Aggregation in 2D and 3D
* 1998: Hybrid Concept for 3D Building Acquisition, A
* 1999: Automatic orientation and recognition in highly structured scenes
* 2000: Detection of dominant orthogonal road structures in small scale
* 2000: On Weighting and Choosing Constraints for Optimally Reconstructing the Geometry of Image Triplets
* 2001: Algebraic Projective Geometry and Direct Optimal Estimation of Geometric Entities
* 2001: Matching, Reconstructing and Grouping 3D Lines From Multiple Views Using Uncertain Projective Geometry
* 2001: Topological and Geometrical Models for Building Reconstruction from Multiple Images
* 2002: Characterizing Image Quality: Blind Estimation of the Point Spread Function from a Single Image
* 2002: Scene Constraints for Direct Single Image Orientation with Selfdiagnosis
* 2003: Learning Optimal Parameters for Self-Diagnosis in a System for Automatic Exterior Orientation
* 2004: Geometric Stability of Low-Cost Digital Consumer Cameras
* 2004: Projective Geometry for Photogrammetric Orientation Procedures I
* 2004: Projective Geometry for Photogrammetric Orientation Procedures II
* 2005: Fish-eye-stereo calibration and epipolar rectification
* 2006: Detectability of Buildings in Aerial Images over Scale Space
* 2006: Direct Solutions for Computing Cylinders from Minimal Sets of 3D Points
* 2008: Approximate Parameter Learning in Conditional Random Fields: An Empirical Investigation
* 2008: Benchmarking Automatic Bundle Adjustment Results
* 2008: Interpretation Terrestrial Images of Urban Scenes Using Discriminative Random Fields
* 2008: On the Quality of Automatic Relative Orientation Procedures
* 2008: On Visual Real Time Mapping for Unmanned Aerial Vehicles
* 2008: Selecting Appropriate Features for Detecting Buildings and Building Parts
* 2008: Semi-Supervised Incremental Learning of Hierarchical Appearance Models
* 2009: Detecting interpretable and accurate scale-invariant keypoints
* 2009: Evaluating the Suitability of Feature Detectors for Automatic Image Orientation Systems
* 2009: Improving Image Segmentation using Multiple View Analysis
* 2009: On the completeness of coding with image features
* 2009: Optimal Parameter Estimation with Homogeneous Entities and Arbitrary Constraints
* 2009: Simultaneous Estimation of Pose and Motion at Highly Dynamic Turn Maneuvers
* 2010: High Dimensional Correspondences from Low Dimensional Manifolds: An Empirical Comparison of Graph-Based Dimensionality Reduction Algorithms
* 2010: Minimal Representations for Uncertainty and Estimation in Projective Spaces
* 2010: Optimal vanishing point detection and rotation estimation of single images from a Legoland scene
* 2010: Probabilistic Multi-class Scene Flow Segmentation for Traffic Scenes
* 2010: Robust Wide Baseline Scene Alignment Based on 3D Viewpoint Normalization
* 2011: Bayesian Approach for Scene Interpretation with Integrated Hierarchical Structure, A
* 2011: Coding Images with Local Features
* 2011: Fast Marching for Robust Surface Segmentation
* 2011: hierarchical conditional random field model for labeling and classifying images of man-made scenes, A
* 2011: Incremental import vector machines for large area land cover classification
* 2011: On Performance Analysis of Optical Flow Algorithms
* 2011: Regionwise Classification of Building Facade Images
* 2012: Bundle Adjustment For Multi-camera Systems With Points At Infinity
* 2012: Combine Markov Random Fields And Marked Point Processes To Extract Building From Remotely Sensed Images
* 2012: Feature Evaluation For Building Facade Images: An Empirical Study
* 2012: I2VM: Incremental import vector machines
* 2012: Incremental Import Vector Machines for Classifying Hyperspectral Data
* 2012: Learning A Compositional Representation For Facade Object Categorization
* 2012: Minimal Representations for Testing and Estimation in Projective Spaces
* 2012: Real-time Camera Guidance for 3d Scene Reconstruction
* 2013: Bundle Adjustment and System Calibration with Points at Infinity for Omnidirectional Camera Systems
* 2013: DijkstraFPS: Graph Partitioning in Geometry and Image Processing
* 2013: Finding Poly-Curves of Straight Line and Ellipse Segments in Images
* 2013: Graphical Models in Geodesy and Photogrammetry
* 2013: Incremental Real-Time Bundle Adjustment for Multi-Camera Systems with Points at Infinity
* 2013: Photogrammetrische Forschung - Eine Zwischenbilanz aus Bonner Sicht
* 2013: Recovering Line-Networks in Images by Junction-Point Processes
* 2013: Trainable Markov Random Field for Low-Level Image Feature Matching with Spatial Relationships, A
* 2014: Real-Time Accurate Geo-Localization of a MAV with Omnidirectional Visual Odometry and GPS
* 2016: future for learning semantic models of man-made environments, A
* 2017: Efficient and Accurate Registration of Point Clouds with Plane to Plane Correspondences
* 2018: Fast and Accurate Camera Covariance Computation for Large 3D Reconstruction
* 2020: Making Affine Correspondences Work in Camera Geometry Computation
* 2023: Large-Scale Homography Benchmark, A
* 2023: Preface to the Special Issue on Pattern Recognition (DAGM GCPR 2021)
Includes: Forstner, W. Förstner, W. (Maybe also Foerstner, W.)Förstner, W.[Wolfgang] (Maybe also Foerstner, W.)Forstner, W.[Wolfgang]
82 for Forstner, W.

Forsvik, H.[Heikki] * 2010: Identity verification based on vessel matching from fundus images
* 2011: Kernel Fisher Discriminant and Elliptic Shape Model for Automatic Measurement of Allergic Reactions

Forsyth, D. * 2019: Counterfactual Depth from a Single RGB Image
* 2022: JoJoGAN: One Shot Face Stylization
* 2023: Convex Decomposition of Indoor Scenes
* 2024: Controlling Virtual Try-on Pipeline Through Rendering Policies
* 2024: P2D: Plug and Play Discriminator for accelerating GAN frameworks
* 2024: Preserving Image Properties Through Initializations in Diffusion Models
Includes: Forsyth, D. Forsyth, D.[David]

Forsyth, D.A. * 1988: Novel Approach to Colour Constancy, A
* 1989: Mutual Illumination
* 1990: Invariance: A New Framework for Vision
* 1990: Novel Algorithm for Color Constancy, A
* 1990: Projectively Invariant Representations Using Implicit Algebraic Curves
* 1990: Relative motion and pose from invariants
* 1990: Shape from Shading in the Light of Mutual Illumination
* 1990: Transformational Invariance: A Primer
* 1991: Invariant Descriptors for 3-D Object Recognition and Pose
* 1991: Projectively Invariant Representations Using Implicit Algebraic Curves
* 1991: Reflections on Shading
* 1991: Using Projective Invariants for Constant Time Library Indexing in Model Based Vision
* 1992: Canonical Frames for Planar Object Recognition
* 1992: Efficient Model Library Access by Projectively Invariant Indexing Functions
* 1992: Recognizing Rotationally Symmetric Surfaces from Their Outlines
* 1992: Relative Motion and Pose from Arbitrary Plane Curves
* 1992: Transformational Invariance: A Primer
* 1993: Applications of Invariance in Computer Vision
* 1993: Efficient Recognition of Rotationally Symmetric Surface and Straight Homogeneous Generalized Cylinders
* 1993: Efficient Recognition of Rotationally Symmetric Surface and Straight Homogeneous Generalized Cylinders
* 1993: Extracting Projective Structure from Single Perspective Views of 3D Point Sets
* 1993: Recognizing Algebraic Surfaces from Their Outlines
* 1994: Distinctive representations for the recognition of curved surfaces using outlines and markings
* 1994: Object Representation for Object Recognition
* 1994: Reliable Color Labelling
* 1994: Report of the NSF/ARPA Workshop on 3D Object Representation for Computer Vision
* 1994: Using Global Consistency to Recognise Euclidean Objects with an Uncalibrated Camera
* 1995: 3D Object Recognition Using Invariance
* 1995: Class-Based Grouping in Perspective Images
* 1995: Planar Object Recognition Using Projective Shape Representation
* 1996: Finding Naked People
* 1996: Finding Objects in Image Databases by Grouping
* 1996: Finding Pictures of Objects in Large Collections of Images
* 1996: Identifying Nude Pictures
* 1996: Recognizing Algebraic Surfaces from Their Outlines
* 1997: Body Plans
* 1997: Finding People and Animals by Guided Assembly
* 1997: Searching for Digital Pictures
* 1998: Shading Primitives: Finding Folds and Shallow Grooves
* 1998: Shape representations from shading primitives
* 1999: Automatic Detection of Human Nudes
* 1999: Bayesian Structure from Motion
* 1999: Finding People by Sampling
* 1999: Sampling, Resampling and Colour Constancy
* 2000: How Does CONDENSATION Behave with a Finite Number of Samples?
* 2001: Clustering Art
* 2001: Human Tracking with Mixtures of Trees
* 2001: Joy of Sampling, The
* 2001: Learning the Semantics of Words and Pictures
* 2001: Mixtures of Trees for Object Recognition
* 2001: Noise in Bilinear Problems
* 2001: Probabilistic Methods for Finding People
* 2001: Shape from Texture and Integrability
* 2002: Object Recognition as Machine Translation: Learning a Lexicon for a Fixed Image Vocabulary
* 2002: Shape from Texture without Boundaries
* 2003: Computer Vision: A Modern Approach
* 2003: effects of segmentation and feature choice in a translation model of object recognition, The
* 2003: Finding and tracking people from the bottom up
* 2003: Using temporal coherence to build models of animals
* 2004: Names and faces in the news
* 2004: Recovering shape and irradiance maps from rich dense texton fields
* 2005: Computational Studies of Human Motion: Part 1, Tracking and Motion Synthesis
* 2005: Detecting, Localizing and Recovering Kinematics of Textured Animals
* 2005: Finding Glass
* 2005: Learning the Behavior of Users in a Public Space through Video Tracking
* 2005: Skeletal Parameter Estimation from Optical Motion Capture Data
* 2005: Skeletal Parameter Estimation from Optical Motion Capture Data
* 2005: Strike a Pose: Tracking People by Finding Stylized Poses
* 2005: Tracking People and Recognizing Their Activities
* 2006: Aligning ASL for Statistical Translation Using a Discriminative Word Model
* 2006: Animals on the Web
* 2006: Building Models of Animals from Video
* 2006: Combining Cues: Shape from Shading and Texture
* 2006: Dataset Issues in Object Recognition
* 2006: Retexturing Single Views Using Texture and Shading
* 2006: Searching Off-line Arabic Documents
* 2006: Shape from Texture without Boundaries
* 2006: Translating Images to Words for Recognizing Objects in Large Image and Video Collections
* 2007: Searching Video for Complex Activities with Finite State Models
* 2007: Tracking People by Learning Their Appearance
* 2007: Transfer Learning in Sign language
* 2007: Unsupervised Segmentation of Objects using Efficient Learning
* 2008: Object image retrieval by exploiting online knowledge resources
* 2008: Searching for Complex Human Activities with No Visual Examples
* 2008: Utility data annotation with Amazon Mechanical Turk
* 2009: Building text features for object image classification
* 2009: Describing objects by their attributes
* 2009: Joint learning of visual attributes, object classes and visual saliency
* 2009: latent model of discriminative aspect, A
* 2009: Learning image similarity from Flickr groups using Stochastic Intersection Kernel Machines
* 2009: lightness recovery algorithm for the multispectral acquisition of frescoed environments, A
* 2009: Lightness Recovery for Pictorial Surfaces
* 2009: Recovering the spatial layout of cluttered rooms
* 2009: Unlabeled data improves word prediction
* 2010: benefits and challenges of collecting richer object annotations, The
* 2010: Comparative object similarity for improved recognition with few or no examples
* 2010: Every Picture Tells a Story: Generating Sentences from Images
* 2010: Improved Human Parsing with a Full Relational Model
* 2010: Seeing People in Social Context: Recognizing People and Social Relationships
* 2010: Thinking Inside the Box: Using Appearance Models and Context Based on Room Geometry
* 2011: Lightness Recovery for Pictorial Surfaces
* 2011: Optimal spatio-temporal path discovery for video event detection
* 2011: Variable-Source Shading Analysis
* 2012: Attribute Discovery via Predictable Discriminative Binary Codes
* 2012: Building a dictionary of image fragments
* 2012: Learning Image Similarity from Flickr Groups Using Fast Kernel Machines
* 2012: Recovering free space of indoor scenes from a single image
* 2013: Improved Object Categorization and Detection Using Comparative Object Similarity
* 2013: Non-parametric Filtering for Geometric Detail Extraction and Material Representation
* 2013: Technical Perspective: Understanding Pictures of Rooms
* 2013: TPAMI CVPR Special Section
* 2014: 30Hz Object Detection with DPM V5
* 2014: Easy Minimax Estimation with Random Forests for Human Pose Estimation
* 2014: Recognizing activities in multiple views with fusion of frame judgments
* 2014: Video Event Detection: From Subvolume Localization to Spatiotemporal Path Search
* 2015: approximate shading model for object relighting, An
* 2015: Learning a sequential search for landmarks
* 2015: Learning Large-Scale Automatic Image Colorization
* 2015: Sparse depth super resolution
* 2016: Learning to Localize Little Landmarks
* 2016: Static Multimodal Dyadic Behavior Dataset for Engagement Prediction, The
* 2016: Visual Analogies: A Framework for Defining Aspect Categorization
* 2017: Learning Diverse Image Colorization
* 2017: SafetyNet: Detecting and Rejecting Adversarial Examples Robustly
* 2018: Learning Type-Aware Embeddings for Fashion Compatibility
* 2018: Structural Consistency and Controllability for Diverse Colorization
* 2019: Approximate Shading Model with Detail Decomposition for Object Relighting, An
* 2019: Fast, Diverse and Accurate Image Captioning Guided by Part-Of-Speech
* 2019: Max-Sliced Wasserstein Distance and Its Use for GANs
* 2020: Effectively Unbiased FID and Inception Score and Where to Find Them
* 2020: Guest Editors' Introduction to the Special Section on Computational Photography
* 2020: Improving Style Transfer with Calibrated Metrics
* 2020: Why Do These Match? Explaining the Behavior of Image Similarity Models
* 2021: LSD-StructureNet: Modeling Levels of Structural Detail in 3D Part Hierarchies
* 2021: Retrieve in Style: Unsupervised Facial Feature Transfer and Retrieval
* 2022: Controlled GAN-Based Creature Synthesis via a Challenging Game Art Dataset: Addressing the Noise-Latent Trade-Off
* 2022: DIVeR: Real-time and Accurate Neural Radiance Fields with Deterministic Integration for Volume Rendering
* 2022: Intrinsic Image Decomposition Using Paradigms
* 2023: ClimateNeRF: Extreme Weather Synthesis in Neural Radiance Field
* 2023: Improving Equivariance in State-of-the-Art Supervised Depth and Normal Predictors
* 2023: POVNet: Image-Based Virtual Try-On Through Accurate Warping and Residual
Includes: Forsyth, D.A. Forsyth, D.A.[David A.]
141 for Forsyth, D.A.

Forsyth, D.E. * 2016: Adaptive-Weather-Surveillance and Multifunction Capabilities of the National Weather Radar Testbed Phased Array Radar

Forsyth, D.S. * 1995: Edge of Light: A new enhanced optical NDI technique
* 2008: Characterization of surface deformation with the Edge of LightTM technique
* 2008: feature-based metric for the quantitative evaluation of pixel-level image fusion, A
* 2010: Integrated imaging and vision techniques for industrial inspection: A special issue on machine vision and applications
Includes: Forsyth, D.S. Forsyth, D.S.[David S.]

Forsyth, N.T. * 2002: Alternating fixed-point algorithm for stereophonic acoustic echo cancellation

Forsyth, R.S.[Richard S.] * 2016: Diagnosing a disorder in a classification benchmark

Forsyth, S.[Steven] * 2019: Barrage of Random Transforms for Adversarially Robust Defense

Forsyth, V.T. * 2017: Orientation and analysis of XFEL serial diffraction patterns from fibrous molecular assemblies
* 2018: Analysis of Fibrous Assembly Orientations from XFEL Diffraction Data

Forsythe, J.[Jeremy] * 2016: Resolution-Independent Superpixels Based on Convex Constrained Meshes Without Small Angles
* 2019: GEWEX Water Vapor Assessment: Overview and Introduction to Results and Recommendations, The
* 2021: Study of Two Impactful Heavy Rainfall Events in the Southern Appalachian Mountains during Early 2020, Part I; Societal Impacts, Synoptic Overview, and Historical Context, A
Includes: Forsythe, J.[Jeremy] Forsythe, J.[John]

Forsythe, K.W.[K. Wayne] * 2012: Visualization of Lake Mead Surface Area Changes from 1972 to 2009
* 2014: Investigating Forest Disturbance Using Landsat Data in the Nagagamisis Central Plateau, Ontario, Canada

Forsythe, R.O.[Rachael O.] * 2021: Improved identification of abdominal aortic aneurysm using the Kernelized Expectation Maximization algorithm

Index for "f"