Index for lowe

Lowe, A. * 2015: Point Tracking on a thin elastomer to emulate Skin-stretch induced motion artifacts in Electrocardiogram measurements
* 2019: Semantic Segmentation of Sheep Organs by Convolutional Neural Networks
* 2020: Flood-Risk Analysis on Terrains
Includes: Lowe, A. Lowe, A.[Aaron]

Lowe, A.R.[Alan R.] * 2023: Virtual perturbations to assess explainability of deep-learning based cell fate predictors

Lowe, C.J.[Christopher J.] * 2024: Finding Navigable Paths through Tidal Flats with Synthetic Aperture Radar

Lowe, D.G. * 1980: Image Understanding via Geometric Models
* 1980: Solving for the Parameters of Object Models from Image Descriptions
* 1981: Interpretation of Geometric Structure from Image Boundaries, The
* 1981: Interpretation of Three-Dimensional Structure from Image Curves, The
* 1983: Perceptual Organization as a Basis for Visual Recognition
* 1983: Perceptual Organization of Visual Images: Segmentation as a Basis for Recognition, The
* 1985: Perceptual Organization and Visual Recognition
* 1985: Recovery of Three-Dimensional Structure from Image Curves, The
* 1985: Visual Recognition from Spatial Correspondence and Perceptual Organization
* 1987: Segmentation and Aggregation: An Approach to Figure-Ground Phenomena
* 1987: Three-Dimensional Object Recognition from Single Two-Dimensional Images
* 1987: Viewpoint Consistency Constraint, The
* 1988: Organization of Smooth Image Curves at Multiple Scales
* 1989: Organization of Smooth Image Curves at Multiple Scales
* 1989: Segmentation of Textured Images
* 1990: Integrated Treatment of Matching and Measurement Errors for Robust Model-Based Motion Tracking
* 1990: Stabilized Solution for 3-D Model Parameters
* 1991: Fitting Parameterized Three-Dimensional Models to Images
* 1991: Optimized Feature Extraction and the Bayes Decision in Feed-Forward Classifier Networks
* 1992: Robust Model-Based Motion Tracking Through the Integration of Search and Estimation
* 1992: Robust Model-Based Motion Tracking Through the Integration of Search and Estimation
* 1993: Learning 3D Object Recognition Models from 2D Images
* 1993: Learning Indexing Functions for 3-D Model-Based Object Recognition
* 1993: Learning Object Recognition Models from Images
* 1994: Learning Indexing Functions for 3-D Model-Based Object Recognition
* 1994: Vista: A Software Environment for Computer Vision Research
* 1995: Rigidity Checking of 3D Point Correspondences Under Perspective Projection
* 1995: Rigidity Checking of 3D Point Correspondences Under Perspective Projection
* 1996: Learning Appearance Models for Object Recognition
* 1996: Rigidity Checking of 3D Point Correspondences Under Perspective Projection
* 1997: Shape Indexing Using Approximate Nearest-Neighbour Search in High-Dimensional Spaces
* 1999: Indexing without Invariants in 3D Object Recognition
* 1999: Object Recognition from Local Scale-Invariant Features
* 2000: Probabilistic Models of Appearance for 3-D Object Recognition
* 2001: Local Feature View Clustering for 3D Object Recognition
* 2002: Invariant Features from Interest Point Groups
* 2003: Recognising panoramas
* 2004: Boosted Particle Filter: Multitarget Detection and Tracking, A
* 2004: Distinctive Image Features from Scale-Invariant Keypoints
* 2004: Object Class Recognition with Many Local Features
* 2005: Unsupervised 3D object recognition and reconstruction in unordered datasets
* 2006: Multiclass Object Recognition with Sparse, Localized Features
* 2006: Sparse Flexible Models of Local Features
* 2006: What and Where: 3D Object Recognition with Accurate Pose
* 2007: Automatic Panoramic Image Stitching using Invariant Features
* 2007: Shape Descriptors for Maximally Stable Extremal Regions
* 2008: Object Class Recognition and Localization Using Sparse Features with Limited Receptive Fields
* 2009: Better matching with fewer features: The selection of useful features in large database recognition problems
* 2010: Curious George: An Integrated Visual Search Platform
* 2010: Multiple Viewpoint Recognition and Localization
* 2012: Efficient Detection for Spatially Local Coding
* 2012: Fast Matching of Binary Features
* 2012: Local Naive Bayes Nearest Neighbor for image classification
* 2012: Tissue Tracking and Registration for Image-Guided Surgery
* 2014: Efficient Detection for Spatially Local Coding
* 2014: Scalable Nearest Neighbor Algorithms for High Dimensional Data
* 2017: Unsupervised Learning of Depth and Ego-Motion from Video
* 2018: Low-Shot Learning with Imprinted Weights
Includes: Lowe, D.G. Lowe, D.G.[David G.]
58 for Lowe, D.G.

Lowe, D.S. * 1966: Spectrum Matching Technique for Enhancing Image Contrast, A

Lowe, J.[Jesse] * 2021: Optokinetic response for mobile device biometric liveness assessment

Lowe, K.[Katherine] * 2021: M-SiSSR: Regional Endocardial Function Using Multilabel Simultaneous Subdivision Surface Registration

Lowe, M.J. * 2004: Clustered Components Analysis for Functional MRI

Lowe, P.[Peter] * 2010: Optimised Near-Real Time Data Acquisition and Preprocessing of Satellite Data for Disaster Related Rapid Mapping
Includes: Lowe, P.[Peter] Löwe, P.[Peter] (Maybe also Loewe, P.)

Lowe, R.C.[Roger C.] * 2021: Random Forest Regression Model for Estimation of the Growing Stock Volumes in Georgia, USA, Using Dense Landsat Time Series and FIA Dataset

Lowe, R.J.[Richard J.] * 2011: Evolving Content-Driven Superpixels for Accurate Image Representation
* 2020: Interannual Response of Reef Islands to Climate-Driven Variations in Water Level and Wave Climate
* 2021: Identifying Metocean Drivers of Turbidity Using 18 Years of MODIS Satellite Data: Implications for Marine Ecosystems under Climate Change
Includes: Lowe, R.J.[Richard J.] Lowe, R.J.[Ryan J.]

Lowe, S.[Stephen] * 2017: Spaceborne GNSS-R from the SMAP Mission: First Assessment of Polarimetric Scatterometry over Land and Cryosphere
* 2018: ISNN: Impact Sound Neural Network for Audio-Visual Object Classification
* 2022: Deep-Learning Approach to Soil Moisture Estimation with GNSS-R, A
Includes: Lowe, S.[Stephen] Lowe, S.[Sam]

Lowe, S.T. * 2018: Global Ocean Altimetry With GNSS Reflections From TechDemoSat-1
* 2019: Benefits of a Closely-Spaced Satellite Constellation of Atmospheric Polarimetric Radio Occultation Measurements
* 2020: Aircraft Wetland Inundation Experiment Using GNSS Reflectometry, An
Includes: Lowe, S.T. Lowe, S.T.[Stephen T.]

Lowe, T. * 2013: Application of Micro-Computed Tomography With Iodine Staining to Cardiac Imaging, Segmentation, and Computational Model Development
* 2015: Improving image clarity using local feature dimension
* 2021: Applying a Hand-Held Laser Scanner to Monitoring Gully Erosion: Workflow and Evaluation
* 2023: Tree Reconstruction Using Topology Optimisation
* 2023: Tree Reconstruction Using Topology Optimisation
Includes: Lowe, T. Lowe, T.[Thomas]

Lowe, W.[Welf] * 2024: Object Identification in Land Parcels Using a Machine Learning Approach

Lowekamp, B.C.[Bradley C.] * 2006: Hierarchically Partitioned Implicit Surfaces for Interpolating Large Point Set Models

Lowell, J. * 2004: Measurement of Retinal Vessel Widths from Fundus Images Based on 2-D Modeling
* 2004: Optic Nerve Head Segmentation
* 2008: Rapid training of image classifiers through adaptive, multi-frame sampling method

Lowell, K.[Kim] * 2005: Fuzzy Reliability Assessment of Multi-Period Land-cover Change Maps
* 2014: Evaluation of IEM, Dubois, and Oh Radar Backscatter Models Using Airborne L-Band SAR
* 2014: Sensitivity of L-Band Radar Backscatter to Forest Biomass in Semiarid Environments: A Comparative Analysis of Parametric and Nonparametric Models
* 2021: Assessing Marginal Shallow-Water Bathymetric Information Content of Lidar Sounding Attribute Data and Derived Seafloor Geomorphometry
Includes: Lowell, K.[Kim] Lowell, K.

Lowen, H.[Heinrich] * 2019: Spatial Learning with Orientation Maps: The Influence of Different Environmental Features on Spatial Knowledge Acquisition
Includes: Lowen, H.[Heinrich] Löwen, H.[Heinrich] (Maybe also Loewen, H.)

Lowengrub, J. * 2019: Personalized Radiotherapy Design for Glioblastoma: Integrating Mathematical Tumor Models, Multimodal Scans, and Bayesian Inference

Lowenstein, F. * 1970: On the applicability of modern algebra techniques to adaptive pattern recognition

Lowerison, M.R.[Matthew R.] * 2022: Curvelet Transform-Based Sparsity Promoting Algorithm for Fast Ultrasound Localization Microscopy
* 2023: Localization Free Super-Resolution Microbubble Velocimetry Using a Long Short-Term Memory Neural Network

Lowery, A.J.[Arthur James] * 2013: Introducing the Monash vision group's cortical prosthesis

Lowes, L.[Linda] * 2016: Evaluation of Infants with Spinal Muscular Atrophy Type-I Using Convolutional Neural Networks

Lowet, D.[Dietwig] * 2015: Factored four way conditional restricted Boltzmann machines for activity recognition

Lowey, J.[James] * 2005: Impact of error estimation on feature selection
* 2007: Model-based evaluation of clustering validation measures

Lowey, L. * 2005: Architecture and Algorithms for Tracking Football Players with Multiple Cameras

Index for "l"


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