Dunn, A.K.
* 2008: Efficient Processing of Laser Speckle Contrast Images
* 2008: Time Domain Fluorescence Tomography System for Small Animal Imaging, A
Dunn, B.W.[Brian W.]
* 2019: Modeling Mid-Season Rice Nitrogen Uptake Using Multispectral Satellite Data
Dunn, C.E.
* 1992: Character Segmenting Techniques for Handwritten Text: A Survey
Dunn, D.F.
* 1994: invariant pattern representation based on nonuniform sampling in the human visual system, An
* 1994: Texture Segmentation Using 2-D Gabor Elementary Functions
* 1995: Optimal Gabor Filters for Texture Segmentation
* 1996: Efficient Gabor Filter Design for Texture Segmentation
* 1996: Extracting Half-Tones from Printed Documents Using Texture Analysis
* 1996: Gabor Filter Design for Multiple Texture Segmentation
* 1997: Extracting Color Halftones from Printed Documents Using Texture Analysis
* 1997: Extracting Half-Tones from Printed Documents Using Texture Analysis
* 2000: Extracting Color Halftones from Printed Documents Using Texture Analysis
Includes: Dunn, D.F. Dunn, D.F.[Dennis F.]
9 for Dunn, D.F.
Dunn, E.
* 2003: Hybrid evolutionary ridge regression approach for high-accurate corner extraction
* 2006: Parisian camera placement for vision metrology
* 2009: Next best view planning for active model improvement
* 2010: Building Rome on a Cloudless Day
* 2011: Adaptive Scale Selection for Hierarchical Stereo
* 2011: Approach for Shape from Surface Normals with Local Discontinuity Detection, An
* 2011: geometric solver for calibrated stereo egomotion, A
* 2012: Comparative Evaluation of Binary Features
* 2012: Efficient and Scalable Depthmap Fusion
* 2012: Increasing the Efficiency of Local Stereo by Leveraging Smoothness Constraints
* 2014: 3D Reconstruction of Dynamic Textures in Crowd Sourced Data
* 2014: Combining semantic scene priors and haze removal for single image depth estimation
* 2014: Correcting for Duplicate Scene Structure in Sparse 3D Reconstruction
* 2014: Joint Object Class Sequencing and Trajectory Triangulation (JOST)
* 2014: PatchMatch Based Joint View Selection and Depthmap Estimation
* 2014: Recovering Correct Reconstructions from Indistinguishable Geometry
* 2014: Rotation estimation from cloud tracking
* 2014: Stereo under Sequential Optimal Sampling: A Statistical Analysis Framework for Search Space Reduction
* 2015: Minimal Solvers for 3D Geometry from Satellite Imagery
* 2015: Predicting Good Features for Image Geo-Localization Using Per-Bundle VLAD
* 2015: Reconstructing the world* in six days
* 2015: Sparse Dynamic 3D Reconstruction from Unsynchronized Videos
* 2015: Synthesizing Illumination Mosaics from Internet Photo-Collections
* 2016: Bringing 3D Models Together: Mining Video Liaisons in Crowdsourced Reconstructions
* 2016: Efficient joint stereo estimation and land usage classification for multiview satellite data
* 2016: Spatio-Temporally Consistent Correspondence for Dense Dynamic Scene Modeling
* 2017: Learned Contextual Feature Reweighting for Image Geo-Localization
* 2018: Dynamic Visual Sequence Prediction with Motion Flow Networks
* 2018: Self-Expressive Dictionary Learning for Dynamic 3D Reconstruction
* 2019: Discrete Laplace Operator Estimation for Dynamic 3D Reconstruction
* 2020: VOLDOR: Visual Odometry From Log-Logistic Dense Optical Flow Residuals
* 2021: GTT-Net: Learned Generalized Trajectory Triangulation
* 2022: LASER: LAtent SpacE Rendering for 2D Visual Localization
* 2023: General Planar Motion from a Pair of 3D Correspondences
* 2023: Geometric Viewpoint Learning with Hyper-Rays and Harmonics Encoding
* 2023: NeurOCS: Neural NOCS Supervision for Monocular 3D Object Localization
Includes: Dunn, E. Dunn, E.[Enrique]
36 for Dunn, E.
Dunn, G.L.
* 2020: Visual Guidance for a Spatial Discrepancy Problem of in Encountered-Type Haptic Display
Dunn, J.
* 2020: Point Cloud Segmentation using RGB Drone Imagery
Dunn, J.B.[Jennifer B.]
* 2021: Examining the Characteristics of the Cropland Data Layer in the Context of Estimating Land Cover Change
Dunn, J.C.
* 1973: Fuzzy Relative of the ISODATA Process and Its Use in Detecting Compact Well-Separated Clusters, A
* 1975: Group Averaged Linear Functions that Detect Corners and Lines
Dunn, K.W.[Kenneth W.]
* 2013: Three dimensional segmentation of fluorescence microscopy images using active surfaces
* 2016: Four Dimensional Image Registration for Intravital Microscopy
* 2016: Nuclei segmentation of fluorescence microscopy images based on midpoint analysis and marked point process
* 2017: Nuclei Segmentation of Fluorescence Microscopy Images Using Three Dimensional Convolutional Neural Networks
* 2018: Three Dimensional Fluorescence Microscopy Image Synthesis and Segmentation
* 2021: RCNN-SliceNet: A Slice and Cluster Approach for Nuclei Centroid Detection in Three-Dimensional Fluorescence Microscopy Images
* 2022: 3D Centroidnet: Nuclei Centroid Detection with Vector Flow Voting
* 2022: Ensemble Learning and Slice Fusion Strategy for Three-Dimensional Nuclei Instance Segmentation, An
Includes: Dunn, K.W.[Kenneth W.] Dunn, K.W.
8 for Dunn, K.W.
Dunn, M.
* 2017: Embedded Robust Visual Obstacle Detection on Autonomous Lawn Mowers
Dunn, M.T.
* 2012: Iterative Smoother-Based Variance Estimation
Dunn, P.
* 2010: Early-season crop area estimates for winter crops in NE Australia using MODIS satellite imagery
Dunn, P.A.
* 1995: Image Acquisition System for Traffic Monitoring Applications, An
* 1998: Vehicle monitoring system
Includes: Dunn, P.A. Dunn, P.A.[Paul Alexander]
Dunn, P.B.[Pavel B.]
* 2020: Efficient Tracking of Sparse Signals via an Earth Mover's Distance Dynamics Regularizer
Dunn, P.K.[Peter K.]
* 2021: Performance Evaluation of Vis/NIR Hyperspectral Imaging to Predict Curcumin Concentration in Fresh Turmeric Rhizomes, A
Dunn, R.A.
* 1968: Pattern recognition in biologic classification
Dunn, S.
* 1983: Bimean Clustering
* 1990: Amplitude Varying Rate Statistical Approach for Texture Classification, The
* 1996: Motion from Three Weak Perspective Images Using Image Rotation
Dunn, S.M.[Stanley M.]
* 1983: Approximating Point-Set Images by Line Segments Using a Variation of the Hough Transform
* 1983: Efficient Recovery of Shape from Texture
* 1984: Local Estimation of the Uniform Error Threshold
* 1987: Texture Discrimination by Projective Invariants
* 1988: Random Field Identification from a Sample: Experimental Results
* 1989: Marked Grid Labeling
* 1989: Measuring the Area and Volume of the Human Body with Structured Light
* 1990: Writing retargetable parallel programs for low and high level vision using a global address space
* 1991: Hierarchical Local Symmetries
* 1992: Shape-based object recognition by inductive learning
* 1993: Texture Classification Using Noncausal Hidden Markov-Models
* 1994: Learning Shape Classes
* 1994: Learning Shape Classes
* 1995: Texture Classification Using Noncausal Hidden Markov-Models
* 1996: Automatic MR-PET Registration Algorithm
* 1996: Efficient Registration and Recognition Algorithm via Sieve Processes, An
* 1998: Automatic MR-PET Registration Algorithm
* 2003: perception of breast cancers: A spatial frequency analysis of what differentiates missed from reported cancers, The
Includes: Dunn, S.M.[Stanley M.] Dunn, S.M.
18 for Dunn, S.M.
Dunn, T.S.[Tina S.]
* 2019: Modeling Mid-Season Rice Nitrogen Uptake Using Multispectral Satellite Data
Dunn, T.W.[Timothy W.]
* 2023: Improved 3D Markerless Mouse Pose Estimation Using Temporal Semi-supervision
Dunne, A.K.[Aubrey K.]
* 2007: Efficient Generic Calibration Method for General Cameras with Single Centre of Projection
* 2008: Towards Dynamic Camera Calibration for Constrained Flexible Mirror Imaging
* 2010: Efficient Generic Calibration Method for General Cameras with Single Centre of Projection
Dunne, J.A.[James A.]
* 1970: Mariner 1969 television image processing
Dunne, M.[Mike]
* 2022: CryoAI: Amortized Inference of Poses for Ab Initio Reconstruction of 3D Molecular Volumes from Real Cryo-EM Images
Dunne, P.[Peter]
* 2011: Choice of similarity measure, likelihood function and parameters for histogram based particle filter tracking in CCTV grey scale video
Dunne, S.
* 2013: Weather Adaptive Traffic Prediction Using Neurowavelet Models
Dunnhofer, M.[Matteo]
* 2019: Seventh Visual Object Tracking VOT2019 Challenge Results, The
* 2019: Visual Tracking by Means of Deep Reinforcement Learning and an Expert Demonstrator
* 2020: Tracking-by-trackers with a Distilled and Reinforced Model
* 2021: Is First Person Vision Challenging for Object Tracking?
* 2021: Ninth Visual Object Tracking VOT2021 Challenge Results, The
* 2022: CoCoLoT: Combining Complementary Trackers in Long-Term Visual Tracking
* 2022: Combining complementary trackers for enhanced long-term visual object tracking
* 2022: Tenth Visual Object Tracking VOT2022 Challenge Results, The
* 2023: First Visual Object Tracking Segmentation VOTS2023 Challenge Results, The
* 2023: LBKENET: lightweight Blur Kernel Estimation Network for Blind Image Super-resolution
* 2023: Visual Object Tracking in First Person Vision
* 2023: Visualizing Skiers' Trajectories in Monocular Videos
* 2024: Tracking Skiers from the Top to the Bottom
* 2024: Visual tracking in camera-switching outdoor sport videos: Benchmark and baselines for skiing
Includes: Dunnhofer, M.[Matteo] Dunnhofer, M.
14 for Dunnhofer, M.
Dunnigan, A.[Anthony]
* 2006: Support for effective use of multiple video streams in security
Dunnigan, M.W.
* 2010: adaptive region boundary-based control scheme for an autonomous underwater vehicle, An
Dunnigan, T.[Tony]
* 2014: MET: media-embedded target for connecting paper to digital media
Dunning, A.[Alastair]
* 2014: From Europeana Cloud to Europeana Research: The Challenges of a Community-Driven Platform Exploiting Europeana Content
Dunning, C.A.S.
* 2019: X-Ray Fluorescence Computed Tomography Induced by Photon, Electron, and Proton Beams
Dunning, J.
* 2010: Real-time stereo vision on the VisionServer Framework for robot guidance
Dunning, N.P.[Nicholas P.]
* 2022: Lidar-Based Aboveground Biomass Estimations for the Maya Archaeological Site of Yaxnohcah, Campeche, Mexico
Dunning, S.[Stuart]
* 2021: Low-Cost Automatic Slope Monitoring Using Vector Tracking Analyses on Live-Streamed Time-Lapse Imagery
Dunnings, A.J.
* 2018: Experimentally Defined Convolutional Neural Network Architecture Variants for Non-Temporal Real-Time Fire Detection