Meis, U.
* 2004: Reinforcing the reliability of pedestrian detection in far-infrared sensing
Meisch, C.[Claude]
* 2020: Using OpenStreetMap Data and Machine Learning to Generate Socio-Economic Indicators
Meise, F.
* 2013: Broadside-Split-Ring Resonator-Based Coil for MRI at 7 T, A
Meisel, J.J.[Joshua Jerome]
* 2021: Automated Mapping of Historical Native American Land Allotments at the Standing Rock Sioux Reservation Using Geographic Information Systems
* 2025: Geospatial Impacts of Land Allotment at the Standing Rock Reservation, USA: Patterns of Gain and Loss
Includes: Meisel, J.J.[Joshua Jerome] Meisel, J.J.[Joshua J.]
Meisel, L.V.
* 1997: Convergence of Numerical Box-Counting and Correlation Integral Multifractal Analysis Techniques
Meisels, A.
* 1988: Finding Objects in Aerial Photographs: A Rule-Based Low Level System
* 1990: Symbolic Reasoning in Object Extraction
* 1991: Levels of Knowledge for Object Extraction
* 1991: Quantification and Abstraction: Low Level Tokens for Object Extraction
* 1992: Token-Textured Object Detection by Pyramids
Includes: Meisels, A. Meisels, A.[Amnon]
Meisen, T.[Tobias]
* 2011: Multi Level Time Model for Interactive Multiple Dataset Visualization: The Dataset Sequencer, A
* 2024: CenterPoint Transformer for BEV Object Detection with Automotive Radar
* 2025: AttentiveGRU: Recurrent Spatio-Temporal Modeling for Advanced Radar-Based BEV Object Detection
* 2025: Inferring Driving Maps by Deep Learning-Based Trail Map Extraction
* 2025: LMFormer: Lane Based Motion Prediction Transformer
Meishvili, G.
* 2018: Learning to Extract a Video Sequence from a Single Motion-Blurred Image
* 2020: Learning to Have an Ear for Face Super-Resolution
* 2020: Video Representation Learning by Recognizing Temporal Transformations
Includes: Meishvili, G. Meishvili, G.[Givi]
Meisina, C.[Claudia]
* 2016: Methodology for Detection and Interpretation of Ground Motion Areas with the A-DInSAR Time Series Analysis
* 2018: Methodology to Detect and Characterize Uplift Phenomena in Urban Areas Using Sentinel-1 Data, A
* 2023: Clustering Approach for the Analysis of InSAR Time Series: Application to the Bandung Basin (Indonesia), A
Meisinger, K.
* 2004: Minimizing a weighted error criterion for spatial error concealment of missing image data
* 2006: 2D Frequency Selective Extrapolation for Spatial Error Concealment in H.264/AVC Video Coding
* 2007: Spatio-Temporal Defect Pixel Interpolation using 3-D Frequency Selective Extrapolation
* 2007: Spatiotemporal Selective Extrapolation for 3-D Signals and Its Applications in Video Communications
Includes: Meisinger, K. Meisinger, K.[Katrin]
Meisner, E.M.[Eric M.]
* 2012: Color-based hybrid reconstruction for endoscopy
Meisner, R.
* 2004: Image fusion and wavelet analysis for 3-D reconstruction using 2-D images obtained under different illumination conditions
Meisner, R.E.
* 1999: Computer Animation of Remote Sensing-Based Time Series Data Sets
Meissen, C.[Christopher]
* 2023: Safe, learning-based MPC for highway driving under lane-change uncertainty: A distributionally robust approach
Meissen, F.[Felix]
* 2024: Unsupervised Pathology Detection: A Deep Dive Into the State of the Art
* 2025: Weakly Supervised Object Detection in Chest X-Rays With Differentiable ROI Proposal Networks and Soft ROI Pooling
Meissner, E.
* 2016: Optimizing Departures of Automated Vehicles From Highways While Maintaining Mainline Capacity
Meissner, H.[Henry]
* 2011: MACS: Modular Airborne Camera System for Generating Photogrammetric High-Resolution Products
* 2015: Extracting Semantically Annotated 3D Building Models with Textures from Oblique Aerial Imagery
* 2017: Reconstructing Buildings with Discontinuities And Roof Overhangs From Oblique Aerial Imagery
* 2021: Implementation and Validation of a High Accuracy UAV-Photogrammetry Based Rail Track Inspection System
Includes: Meissner, H.[Henry] Meissner, H.
Meissner, H.G.
* 1982: Steuerung dynamischer Systeme aufgrund bildhafter Informationen
* 1983: Control of an Unstable Plant by Computer Vision
Meissner, K.[Kristian]
* 2010: Network of evolutionary binary classifiers for classification and retrieval in macroinvertebrate databases
* 2016: Data Enrichment in Fine-Grained Classification of Aquatic Macroinvertebrates
* 2016: Learned vs. engineered features for fine-grained classification of aquatic macroinvertebrates
* 2018: Benchmark database for fine-grained image classification of benthic macroinvertebrates
* 2020: Human experts vs. machines in taxa recognition
Includes: Meissner, K.[Kristian] Meissner, K.
Meissner, P.
* 2016: High-Accuracy Localization for Assisted Living: 5G systems will turn multipath channels from foe to friend
* 2025: Multiantenna Radar Signal Interference Mitigation Using Complex-Valued Convolutional Neural Networks
Includes: Meissner, P. Meissner, P.[Paul]
Meissner, S.[Stefan]
* 2010: Intelligent Multimedia Presentation in Ubiquitous Multidevice Scenarios
Meissner, T.
* 2006: Geolocation and Pointing Accuracy Analysis for the WindSat Sensor
* 2016: Ocean Vector Winds From WindSat Two-Look Polarimetric Radiances
* 2016: Sensitivity of Ocean Surface Salinity Measurements From Spaceborne L-Band Radiometers to Ancillary Sea Surface Temperature
* 2017: Soil Moisture Active/Passive L-Band Microwave Radiometer Postlaunch Calibration
* 2018: Assessment of Aquarius Sea Surface Salinity
* 2018: Salinity Retrieval Algorithms for the NASA Aquarius Version 5 and SMAP Version 3 Releases, The
* 2018: Status of Aquarius and Salinity Continuity
* 2019: Ocean Surface Foam and Microwave Emission: Dependence on Frequency and Incidence Angle
* 2019: Remote Sensing of Sea Surface Salinity: Comparison of Satellite and In Situ Observations and Impact of Retrieval Parameters
* 2021: Assessment of CYGNSS Wind Speed Retrievals in Tropical Cyclones
* 2021: SMAP Salinity Retrievals near the Sea-Ice Edge Using Multi-Channel AMSR2 Brightness Temperatures
* 2021: Tropical Cyclone Wind Speeds from WindSat, AMSR and SMAP: Algorithm Development and Testing
* 2021: Tropical Cyclone Winds from WindSat, AMSR2, and SMAP: Comparison with the HWRF Model
* 2022: Assessment of Saildrone Extreme Wind Measurements in Hurricane Sam Using MW Satellite Sensors
Includes: Meissner, T. Meissner, T.[Thomas]
14 for Meissner, T.
Meister, D.[Daniel]
* 2016: Parallel BVH construction using k-means clustering
Meister, G.
* 2014: Corrections to the MODIS Aqua Calibration Derived From MODIS Aqua Ocean Color Products
* 2017: MODIS Aqua Optical Throughput Degradation Impact on Relative Spectral Response and Calibration of Ocean Color Products
* 2019: MODIS Aqua Reflective Solar Band Calibration for NASA's R2018 Ocean Color Products
* 2024: Linearity Assessment from the Plankton, Aerosol, Cloud, and Ocean Ecosystem Ocean Color Instrument Pre-Launch Testing and On-Orbit Operations
* 2024: Pre-Launch Assessment of PACE OCI's Polarization Sensitivity
Includes: Meister, G. Meister, G.[Gerhard]
Meister, J.D.
* 2002: Three-dimensional EIT imaging of breast tissues: System Design and Clinical Testing
Meister, M.
* 2020: Synthetic Examples Improve Generalization for Rare Classes
* 2022: Scalable Artificial Intelligence for Earth Observation Data Using Hopsworks
* 2024: Quantifying Seagrass Density Using Sentinel-2 Data and Machine Learning
Includes: Meister, M. Meister, M.[Moritz] Meister, M.[Martin]
Meister, N.[Nicole]
* 2022: HIVE: Evaluating the Human Interpretability of Visual Explanations
* 2023: Gender Artifacts in Visual Datasets
Meister, S.[Stephan]
* 2012: High Accuracy TOF and Stereo Sensor Fusion at Interactive Rates
* 2014: Stereo Ground Truth with Error Bars
* 2014: Time of flight motion compensation revisited
Includes: Meister, S.[Stephan] Meister, S.