Lehmacher, G.[Gerald]
* 2015: Using lidar and rockets to explore turbulence in the atmosphere
Lehman, C.
* 2019: Implicit Background Estimation For Semantic Segmentation
* 2020: On the Structures of Representation for the Robustness of Semantic Segmentation to Input Corruption
* 2020: Robustness and Overfitting Behavior of Implicit Background Models
* 2020: S6: Semi-Supervised Self-Supervised Semantic Segmentation
Lehman, J.
* 1978: To Extract a Connected Object of Arbitrary Shape from its Background by Decision Tree Method
* 2023: Practical Stereo Depth System for Smart Glasses, A
Includes: Lehman, J. Lehman, J.[Jonathan]
Lehman, S.K.[Sean K.]
* 2002: Superresolution planar diffraction tomography through evanescent fields
Lehman, W.B.
* 2001: Real-Time Video Georegistration
* 2001: Video Georegistration: Algorithm and Quantitative Evaluation
Includes: Lehman, W.B. Lehman, W.B.[W. Brian]
Lehmann Horn, J.A.
* 2011: Three-Dimensional Magnetic Field and NMR Sensitivity Computations Incorporating Conductivity Anomalies and Variable-Surface Topography
Includes: Lehmann Horn, J.A. Lehmann-Horn, J.A.
Lehmann, A.[Alain]
* 2009: Feature-centric Efficient Subwindow Search
* 2009: PrISM: Principled Implicit Shape Model
* 2011: Fast PRISM: Branch and Bound Hough Transform for Object Class Detection
* 2011: Physical Navigation to Support Graph Exploration on a Large High-Resolution Display
* 2017: Spatial Dynamic Modelling of Future Scenarios of Land Use Change in Vaud and Valais, Western Switzerland
* 2018: From a Vegetation Index to a Sustainable Development Goal Indicator: Forest Trend Monitoring Using Three Decades of Earth Observations across Switzerland
* 2020: Supporting SDG 15, Life on Land: Identifying the Main Drivers of Land Degradation in Honghe Prefecture, China, between 2005 and 2015
Includes: Lehmann, A.[Alain] Lehmann, A.[Anke] Lehmann, A.[Anthony]
7 for Lehmann, A.
Lehmann, A.D.[Alain D.]
* 2011: Branch&Rank: Non-Linear Object Detection
* 2014: Branch&Rank for Efficient Object Detection
Lehmann, B.
* 2012: Coupled curve evolution equations for ternary images in sidescan-sonar images guided by Lamé curves for object recognition
Lehmann, C.
* 2020: Towards A Live Software Decoder Implementation For The Upcoming Versatile Video Coding (VVC) Codec
* 2021: Fully Automated Pose Estimation of Historical Images in the Context of 4D Geographic Information Systems Utilizing Machine Learning Methods
Includes: Lehmann, C. Lehmann, C.[Christoph]
Lehmann, D.[Dietrich]
* 2006: Nonsmooth Nonnegative Matrix Factorization (nsNMF)
* 2016: 3D Acquisition, Processing and Visualization of Archaeological Artifacts
Includes: Lehmann, D.[Dietrich] Lehmann, D.[Dennis]
Lehmann, E.[Eric]
* 2019: Implementation of a Satellite Based Inland Water Algal Bloom Alerting System Using Analysis Ready Data
* 2020: Classification of Australian Waterbodies across a Wide Range of Optical Water Types
Lehmann, E.A.
* 2012: Joint Processing of Landsat and ALOS-PALSAR Data for Forest Mapping and Monitoring
Lehmann, F.[Frank]
* 2011: MACS: Modular Airborne Camera System for Generating Photogrammetric High-Resolution Products
* 2011: Turbo Segmentation of Textured Images
* 2017: Factor Graph Approach to Digital Self-Interference Mitigation in OFDM Full-Duplex Systems, A
* 2020: Suboptimal Kalman Filtering in Triplet Markov Models Using Model Order Reduction
Includes: Lehmann, F.[Frank] Lehmann, F.[Frederic] Lehmann, F.
Lehmann, H.[Hartmut]
* 2002: Sensor and Data Fusion Contest: Test Imagery to Compare and Combine Airborne SAR and Optical Sensors for Mapping
* 2005: HRSC on Mars Express: Photogrammetric and Cartographic Research
* 2009: Analysis of Historic Maps and Images for Research on Urban Development of Baalbek/Lebanon
Includes: Lehmann, H.[Hartmut] Lehmann, H.[Heike]
Lehmann, J.
* 2019: Determination of Surface Velocity of a River Using Videos Captured From Unmanned Aerial System (uas)
* 2022: Bringing Light Into the Dark: A Large-Scale Evaluation of Knowledge Graph Embedding Models Under a Unified Framework
* 2023: LogicENN: A Neural Based Knowledge Graphs Embedding Model With Logical Rules
Includes: Lehmann, J. Lehmann, J.[Jens]
Lehmann, J.R.K.[Jan Rudolf Karl]
* 2015: Field Spectroscopy in the VNIR-SWIR Region to Discriminate between Mediterranean Native Plants and Exotic-Invasive Shrubs Based on Leaf Tannin Content
* 2016: High-Resolution Classification of South Patagonian Peat Bog Microforms Reveals Potential Gaps in Up-Scaled CH4 Fluxes by use of Unmanned Aerial System (UAS) and CIR Imagery
Includes: Lehmann, J.R.K.[Jan Rudolf Karl] Lehmann, J.R.K.[Jan R. K.]
Lehmann, K.
* 2019: Assessment of Low-cost Particulate Matter Sensors
Lehmann, M.
* 1997: Measurement Optimization in Speckle Interferometry: The Influence of the Imaging Lens Aperture
Lehmann, M.J.
* 2015: Tracking Virus Particles in Fluorescence Microscopy Images Using Multi-Scale Detection and Multi-Frame Association
Lehmann, M.K.[Moritz K.]
* 2018: Colour Classification of 1486 Lakes across a Wide Range of Optical Water Types
* 2023: Extracting Remotely Sensed Water Quality Parameters from Shallow Intertidal Estuaries
Lehmann, O.
* 2017: From the Lab to the Real World: Re-identification in an Airport Camera Network
Lehmann, P.
* 2005: Identifying the interface between two sand materials
* 2022: Emotion Recognition and EEG Analysis Using ADMM-Based Sparse Group Lasso
* 2022: Global Mapping of Soil Water Characteristics Parameters: Fusing Curated Data with Machine Learning and Environmental Covariates
Includes: Lehmann, P. Lehmann, P.[Peter]
Lehmann, S.
* 2004: Iterative error detection and correction of H.263 coded video for wireless networks
* 2007: Correspondence-Free Determination of the Affine Fundamental Matrix
* 2013: Detecting interaction above digital tabletops using a single depth camera
* 2021: Using Sentinel-2 Images for Soil Organic Carbon Content Mapping in Croplands of Southwestern France. The Usefulness of Sentinel-1/2 Derived Moisture Maps and Mismatches between Sentinel Images and Sampling Dates
Includes: Lehmann, S. Lehmann, S.[Simon] Lehmann, S.[Sébastien]
Lehmann, T.
* 1994: Automatic measurement of the angle of squint by Hough-transformation and covariance-filtering
* 1994: Automatic strabometry by Hough-transformation and covariance-filtering
* 1998: Two-Stage Algorithm for Model-Based Registration of Medical Images, A
* 2000: Texture Classification of Graylevel Images by Multiscale Cross-cooccurrence Matrices
Includes: Lehmann, T. Lehmann, T.[Thomas]
Lehmann, T.M.
* 1997: Simple Parametric Equation for Pseudocoloring Grey-Scale Images Keeping Their Original Brightness Progression, A
* 1999: Survey: interpolation methods in medical image processing
* 2001: Addendum: B-spline interpolation in medical image processing
* 2003: General Discrete Contour Model in Two, Three, and Four Dimensions for Topology-Adaptive Multichannel Segmentation, A
* 2007: CLEF 2005 Automatic Medical Image Annotation Task, The
Includes: Lehmann, T.M. Lehmann, T.M.[Thomas M.]
Lehment, N.[Nicolas]
* 2011: Dense point-to-point correspondences between 3D faces using parametric remeshing for constructing 3D Morphable Models
* 2011: Dense point-to-point correspondences between 3D faces with large variations for constructing 3D Morphable Models
Lehment, N.H.[Nicolas H.]
* 2008: Applying multi layer homography for multi camera person tracking
* 2010: Automated pose estimation in 3D point clouds applying annealing particle filters and inverse kinematics on a GPU
* 2010: Cue-independent extending inverse kinematics for robust pose estimation in 3D point clouds
* 2011: Using Segmented 3D Point Clouds for Accurate Likelihood Approximation in Human Pose Tracking
* 2013: Using Segmented 3D Point Clouds for Accurate Likelihood Approximation in Human Pose Tracking
Lehmkuhl, F.
* 2021: Spatial Distribution, Pollution, and Health Risk Assessment of Heavy Metal In Industrial Area Soils of Ulaanbaatar, Mongolia
Lehmussola, A.
* 2005: Exploring subjective image quality through isopreference curves
* 2007: Computational Framework for Simulating Fluorescence Microscope Images With Cell Populations
* 2008: Efficient automated method for image-based classification of microbial cells
* 2008: Synthetic Images of High-Throughput Microscopy for Validation of Image Analysis Methods
Includes: Lehmussola, A. Lehmussola, A.[Antti]