Lund, B.
* 2013: Analysis of Internal Wave Signatures in Marine Radar Data
* 2014: Understanding Internal Wave-Wave Interaction Patterns Observed in Satellite Images of the Mid-Atlantic Bight
* 2019: Editorial for Special Issue Ocean Radar
Includes: Lund, B. Lund, B.[Björn]
Lund, J.[Jeff]
* 2010: Technologies and the development of the Automated Metadata Indexing and Analysis (AMIA) system
* 2017: State Estimation of the Performance of Gravity Tables Using Multispectral Image Analysis
* 2022: Interpreting Sentinel-1 SAR Backscatter Signals of Snowpack Surface Melt/Freeze, Warming, and Ripening, through Field Measurements and Physically-Based SnowModel
Includes: Lund, J.[Jeff] Lund, J.[Jacob] Lund, J.[Jewell]
Lund, J.A.[John Amund]
* 2018: Wind in Complex Terrain: Lidar Measurements for Evaluation of CFD Simulations
Lund, J.E.A.[Jon E.A.]
* 2018: Event-Based, 6-DOF Camera Tracking from Photometric Depth Maps
Lund, J.R.[Jay R.]
* 2022: Quantification of Off-Channel Inundated Habitat for Pacific Chinook Salmon (Oncorhynchus tshawytscha) along the Sacramento River, California, Using Remote Sensing Imagery
Lund, K.
* 1998: moving image genre-form guide, The
Lund, M.[Magnus]
* 2013: Camera derived vegetation greenness index as proxy for gross primary production in a low Arctic wetland area
* 2017: convolutional approach to reflection symmetry, A
Includes: Lund, M.[Magnus] Lund, M.[Mads]
Lund, S.P.[Steven P.]
* 2016: Methodology for Increasing the Measurement Accuracy of Image Features
Lund, W.B.[William B.]
* 2011: Error Correction with In-domain Training across Multiple OCR System Outputs
* 2011: Progressive Alignment and Discriminative Error Correction for Multiple OCR Engines
Lundberg, A.J.[Andrew J.]
* 1997: Optic Flow Estimation from 3D Wavelet Edge Detection
* 1998: Image Understanding from Thermal Emission Polarization
* 1998: Image Understanding from Thermal Emission Polarization
* 2001: New Perspectives on Geometric Reflection Theory From Rough Surfaces
* 2006: Image Intensification for Low-Light Face Recognition
Lundberg, M.
* 2002: Recognizing emphysema: A neural network approach
* 2012: Circular-Aperture VHF-Band Synthetic Aperture Radar for Detection of Vehicles in Forest Concealment
Lundberg, P.
* 2001: correlation framework for functional MRI data analysis, A
* 2008: Quantitative abdominal fat estimation using MRI
Lundberg, S.[Scott]
* 2008: Top down image segmentation using congealing and graph-cut
* 2023: Adaptive Testing of Computer Vision Models
Lunde, K.
* 2007: Constrained Active Appearance Models for Segmentation of Triplane Echocardiograms
Lundeen, S.K.
* 2014: Rapid Spectral Cloud Screening Onboard Aircraft and Spacecraft
Lundeen, S.R.[Sarah R.]
* 2019: Spectral and Radiometric Calibration of the Next Generation Airborne Visible Infrared Spectrometer (AVIRIS-NG)
Lundell, B.[Ben]
* 2021: Full-Body Motion from a Single Head-Mounted Device: Generating SMPL Poses from Partial Observations
* 2023: Self-supervised Learning with Local Contrastive Loss for Detection and Semantic Segmentation
* 2023: STEPs: Self-Supervised Key Step Extraction and Localization from Unlabeled Procedural Videos
Includes: Lundell, B.[Ben] Lundell, B.[Benjamin]
Lunden, J.
* 2014: Spatial Sign and Rank Cyclic Detectors
Lundervold, A.
* 1990: Noise reduction and segmentation in time-varying ultrasound images
* 1998: Advances in Medical Imaging
* 1999: Model-guided Segmentation of Corpus Callosum in MR Images
* 2003: Noise removal using fourth-order partial differential equation with applications to medical magnetic resonance images in space and time
* 2007: Level Set Methods for Watershed Image Segmentation
* 2009: Unified Framework for Automated 3-D Segmentation of Surface-Stained Living Cells and a Comprehensive Segmentation Evaluation, A
* 2014: PCA-based thresholding strategy for group studies of brain connectivity: with applications to resting state fMRI, A
* 2014: Segmentation-Driven Image Registration-Application to 4D DCE-MRI Recordings of the Moving Kidneys
* 2017: Towards multi-scale personalized modeling of brain vasculature based on magnetic resonance image processing
Includes: Lundervold, A. Lundervold, A.[Arvid]
9 for Lundervold, A.
Lundgren, A.[Antonio]
* 2019: Deep learning approach to generate offline handwritten signatures based on online samples
Lundgren, B.
* 2001: Estimation of 3D Position, Angle of Attitude and Orientation of Free-swimming Fish in a Hydroacoustic Beam Field under Extreme Lighting Conditions
Lundgren, J.C.[James C.]
* 1984: Spatial Processing Algorithm to Reduce the Effects of Mixed Pixels and Increase the Separability Between Classes, A
* 1997: Processes to Support Error Estimation for Model Supported Positioning
Lundgren, M.
* 2016: Driver-Gaze Zone Estimation Using Bayesian Filtering and Gaussian Processes
Lundgren, P.R.
* 2011: Stripmap-ScanSAR SBAS Approach to Fill Gaps in Stripmap Deformation Time Series With ScanSAR Data, The
Lundgren, V.M.[V. Malmsten]
* 2018: Best Rated Human-Machine Interface Design for Autonomous Vehicles in the 2016 Grand Cooperative Driving Challenge, The
Lundin, J.
* 2020: ePillID Dataset: A Low-Shot Fine-Grained Benchmark for Pill Identification
* 2021: Locating Charcoal Production Sites in Sweden Using LiDAR, Hydrological Algorithms, and Deep Learning
Includes: Lundin, J. Lundin, J.[Julius]
Lundine, M.A.[Mark A.]
* 2021: Using Convolutional Neural Networks for Detection and Morphometric Analysis of Carolina Bays from Publicly Available Digital Elevation Modelss
Lundmark, A.
* 1994: Image sequence coding at very low bit rates: a review
* 1997: Understanding of Human Images
* 1999: Wavelet Image Coding Scheme using Frequency Domain Backward Motion Estimation and Certainty of Motion Vectors, A
* 2001: Hierarchical Subsampling Giving Fractal Regions
* 2003: Adaptive Spatial and Temporal Prefiltering for Video Compression
Includes: Lundmark, A. Lundmark, A.[Astrid]
Lundquist, A.
* 1991: Tracking Lines in a Stereo Image Sequence
* 1991: Tracking Lines in a Stereo Image Sequence
* 1991: Tracking Lines Using a Rigid Motion Assumption
Lundquist, C.
* 2014: Tire Radii Estimation Using a Marginalized Particle Filter
Lundquist, S.Y.
* 2016: Sparse encoding of binocular images for depth inference
Lundqvist, K.[Kristina]
* 2022: Case Study on the Use of the SafeML Approach in Training Autonomous Driving Vehicles
Lundqvist, R.
* 1999: Classification of Functional Patterns in SPECT Brain Scans Based on Partial Least Squares Analysis
* 1999: Fusion of Multimodality Brain Images
Lundsteen, C.[Claes]
* 1982: model for selection of attributes for automatic pattern recognition. Stepwise data compression monitored by visual classification, A
Lundstrom, C.[Claes]
* 2011: Model-Based Transfer Functions for Efficient Visualization of Medical Image Volumes
* 2013: Targeted Iterative Filtering
Includes: Lundstrom, C.[Claes] Lundström, C.[Claes] (Maybe also Lundstroem, C.)
Lundstrom, R.J.
* 2010: Automatic Selection of Keyframes from Angiogram Videos
Lundt, B.[Bernd]
* 2022: Correction of Motion Artifacts in Dark-Field Radiography of the Human Chest
* 2024: Correction for Mechanical Inaccuracies in a Scanning Talbot-Lau Interferometer
Lundtoft, D.H.[Dennis H.]
* 2015: Circular Hough Transform and Local Circularity Measure for Weight Estimation of a Graph-Cut Based Wood Stack Measurement
* 2015: Spatiotemporal analysis of RGB-D-T facial images for multimodal pain level recognition
* 2016: Spatiotemporal Facial Super-Pixels for Pain Detection
Lundy, M.[Michael]
* 2009: 3D Lunar Terrain Reconstruction from Apollo Images
* 2009: bayesian formulation for sub-pixel refinement in stereo orbital imagery, A
Lundy, M.E.[Mark E.]
* 2022: Comparative Sensitivity of Vegetation Indices Measured via Proximal and Aerial Sensors for Assessing N Status and Predicting Grain Yield in Rice Cropping Systems