Bare, B.[Bahetiyaer]
* 2017: Learning quality assessment of retargeted images
* 2018: Feature Super-Resolution: Make Machine See More Clearly
* 2019: Deep Objective Quality Assessment Driven Single Image Super-Resolution
* 2019: Naturalness-Aware Deep No-Reference Image Quality Assessment
* 2020: Disparity-Aware Domain Adaptation in Stereo Image Restoration
* 2020: Semantic Segmentation Guided Pixel Fusion for Image Retargeting
Includes: Bare, B.[Bahetiyaer] Bare, B.
Bare, J.C.[James Christopher]
* 2022: Improving Segmentation of Breast Arterial Calcifications from Digital Mammography: Good Annotation is All You Need
Barea, R.
* 2000: Commands Generation by Face Movements Applied to the Guidance of a Wheelchair for Handicapped People
* 2000: E.O.G Guidance of a Wheelchair Using Neural Networks
* 2004: Real-time system for monitoring driver vigilance
* 2006: Real-time system for monitoring driver vigilance
* 2009: Real-Time Hierarchical Outdoor SLAM Based on Stereovision and GPS Fusion
* 2023: Improving Multi-Agent Motion Prediction with Heuristic Goals and Motion Refinement
Includes: Barea, R. Barea, R.[Rafael]
Bareche, I.[Imene]
* 2022: Distributed Hybrid Indexing for Continuous KNN Query Processing over Moving Objects, A
Barecke, T.[Thomas]
* 2006: Video Navigation Based on Self-Organizing Maps
* 2006: VideoSOM: A SOM-Based Interface for Video Browsing
Includes: Barecke, T.[Thomas] Bärecke, T.[Thomas] (Maybe also Baerecke, T.)
Bareinboim, E.[Elias]
* 2022: Causal Transportability for Visual Recognition
Bareja, M.N.[Milan N.]
* 2014: Improved Iterative Back Projection Based Single Image Super Resolution Approach, An
Barekatain, M.
* 2017: Okutama-Action: An Aerial View Video Dataset for Concurrent Human Action Detection
* 2017: Speedup of deep learning ensembles for semantic segmentation using a model compression technique
Includes: Barekatain, M. Barekatain, M.[Mohammadamin]
Barel, S.
* 2015: Sparse Phase Retrieval from Short-Time Fourier Measurements
Barenbrug, B.
* 2007: Enabling Introduction of Stereoscopic (3D) Video: Formats and Compression Standards
Barendrecht, P.J.[Pieter J.]
* 2018: Locally refinable gradient meshes supporting branching and sharp colour transitions
Barentine, J.[John]
* 2022: VIIRS Day/Night Band: A Flicker Meter in Space?, The
Barentine, J.C.[John C.]
* 2021: Case for a New Satellite Mission for Remote Sensing of Night Lights, A
Barentsz, J.
* 2014: Computer-Aided Detection of Prostate Cancer in MRI
Barequet, G.[Gill]
* 1994: Partial Surface and Volume Matching in Three Dimensions
* 1996: Piecewise-Linear Interpolation between Polygonal Slices
* 1997: Partial Surface and Volume Matching in Three Dimensions
* 1997: Using geometric hashing to repair CAD objects
* 1998: Optimizing a Strip Separating Two Polygons
* 2002: Image flows and one-liner graphical image representation
Includes: Barequet, G.[Gill] Barequet, G.
Bares, J.
* 1990: AMBLER: An Autonomous Rover for Planetary Exploration
Baret, F.[Frederic]
* 2003: Intercalibration of vegetation indices from different sensor systems
* 2007: Using First- and Second-Order Variograms for Characterizing Landscape Spatial Structures From Remote Sensing Imagery
* 2009: Enhanced Automated Canopy Characterization from Hyperspectral Data by a Novel Two Step Radiative Transfer Model Inversion Approach
* 2011: Monitoring crop growth inter-annual variability from MODIS time series: Performance comparison between crop specific green area index and current global leaf area index products
* 2011: Quantification of LAI interannual anomalies by adjusting climatological patterns
* 2013: CACAO Method for Smoothing, Gap Filling, and Characterizing Seasonal Anomalies in Satellite Time Series, The
* 2013: Evaluation of Agreement Between Space Remote Sensing SPOT-VEGETATION fAPAR Time Series
* 2013: Using Thermal Time and Pixel Purity for Enhancing Biophysical Variable Time Series: An Interproduct Comparison
* 2013: Using Thermal Time and Pixel Purity for Enhancing Biophysical Variable Time Series: An Interproduct Comparison
* 2014: Local Vegetation Trends in the Sahel of Mali and Senegal Using Long Time Series FAPAR Satellite Products and Field Measurement (1982-2010)
* 2014: On Line Validation Exercise (OLIVE): A Web Based Service for the Validation of Medium Resolution Land Products. Application to FAPAR Products
* 2015: Generic Algorithm to Estimate LAI, FAPAR and FCOVER Variables from SPOT4_HRVIR and Landsat Sensors: Evaluation of the Consistency and Comparison with Ground Measurements, A
* 2015: Land Cover and Crop Type Classification along the Season Based on Biophysical Variables Retrieved from Multi-Sensor High-Resolution Time Series
* 2016: Data Service Platform for Sentinel-2 Surface Reflectance and Value-Added Products: System Use and Examples
* 2016: Global Gap-Free MERIS LAI Time Series (2002-2012)
* 2017: 30+ Year AVHRR Land Surface Reflectance Climate Data Record and Its Application to Wheat Yield Monitoring, A
* 2017: Assessment of Three Methods for Near Real-Time Estimation of Leaf Area Index From AVHRR Data
* 2017: Using 3D Point Clouds Derived from UAV RGB Imagery to Describe Vineyard 3D Macro-Structure
* 2018: Monitoring Forest Phenology and Leaf Area Index with the Autonomous, Low-Cost Transmittance Sensor PASTiS-57
* 2020: Quality Assessment of PROBA-V LAI, fAPAR and fCOVER Collection 300 m Products of Copernicus Global Land Service
* 2021: Characterizing reflectance anisotropy of background soil in open-canopy plantations using UAV-based multiangular images
* 2021: Lidar sheds new light on plant phenomics for plant breeding and management: Recent advances and future prospects
* 2023: Mapping Crop Leaf Area Index and Canopy Chlorophyll Content Using UAV Multispectral Imagery: Impacts of Illuminations and Distribution of Input Variables
* 2023: RSARE: A physically-based vegetation index for estimating wheat green LAI to mitigate the impact of leaf chlorophyll content and residue-soil background
Includes: Baret, F.[Frederic] Baret, F.[Frédéric] Baret, F.
24 for Baret, F.
Baret, L.[Loic]
* 2024: Causal Analysis for Robust Interpretability of Neural Networks
Includes: Baret, L.[Loic] Baret, L.[Loïc]
Baret, O.
* 1992: Regularities and Singularities in Line Pictures
* 1994: System for the Recognition of Handwritten Literal Amounts of Checks, A
* 1998: Hidden Markov Model Based Word Recognition and Its Application to Legal Amount Reading on French Checks
* 2001: Industrial bank check processing: the A2iA CheckReaderTM
* 2004: Recognition of unconstrained legal amounts handwritten on Chinese bank checks
Includes: Baret, O. Baret, O.[Olivier]
Bareth, G.[Georg]
* 2010: Evaluating Multispectral and Hyperspectral Satellite Remote Sensing Data for Estimating Winter Wheat Growth Parameters at Regional Scale in the North China Plain
* 2012: Analysis of Multitemporal and Multisensor Remote Sensing Data for Crop Rotation Mapping
* 2012: Assessing Hyperspectral Vegetation Indices for Estimating Leaf Chlorophyll Concentration of Summer Barley
* 2012: Development of A Metadata Management System for An Interdisciplinary Research Project
* 2012: Evaluation of Terrestrial Laser Scanning for Rice Growth Monitoring
* 2012: Facilitating Integrated Spatio-temporal Visualization and Analysis Of Heterogeneous Archaeological and Palaeoenvironmental Research Data
* 2012: Hyperspectral Analysis Of Rice Phenological Stages In Northeast China
* 2012: Implementation Of An Agricultural Environmental Information System (aeis) For The Sanjiang Plain, Ne-china
* 2012: Introducing A Low-cost Mini-uav For Thermal- And Multispectral-imaging
* 2012: Multi-Temporal Hyperspectral and Radar Remote Sensing for Estimating Winter Wheat Biomass in the North China Plain
* 2012: Regionalization of Agricultural Management by Using the Multi-Data Approach (MDA)
* 2012: Terrestrial Laser Scanning for Coastal Geomorphologic Research In Western Greece
* 2013: Analysis of Crop Reflectance for Estimating Biomass in Rice Canopies at Different Phenological Stages
* 2013: Investigation of Leaf Diseases and Estimation of Chlorophyll Concentration in Seven Barley Varieties Using Fluorescence and Hyperspectral Indices
* 2013: Remotely detecting canopy nitrogen concentration and uptake of paddy rice in the Northeast China Plain
* 2013: UAV-based Imaging for Multi-Temporal, very high Resolution Crop Surface Models to monitor Crop Growth Variability
* 2013: Very high resolution crop surface models (CSMs) from UAV-based stereo images for rice growth monitoring In Northeast China
* 2014: Estimating Biomass of Barley Using Crop Surface Models (CSMs) Derived from UAV-Based RGB Imaging
* 2014: Estimating leaf chlorophyll of barley at different growth stages using spectral indices to reduce soil background and canopy structure effects
* 2014: Evaluating the potential of consumer-grade smart cameras for low-cost stereo-photogrammetric Crop-Surface Monitoring
* 2014: Fusion of high resolution remote sensing images and terrestrial laser scanning for improved biomass estimation of maize
* 2014: Introduction and preliminary results of a calibration for full-frame hyperspectral cameras to monitor agricultural crops with UAVs
* 2014: Terrestrial laser scanning for plant height measurement and biomass estimation of maize
* 2015: Angular Dependency of Hyperspectral Measurements over Wheat Characterized by a Novel UAV Based Goniometer
* 2015: Estimate Leaf Chlorophyll of Rice Using Reflectance Indices and Partial Least Squares
* 2015: Fusion of Plant Height and Vegetation Indices for the Estimation of Barley Biomass
* 2015: Fusion of Plant Height and Vegetation Indices for the Estimation of Barley Biomass
* 2015: Generating 3D hyperspectral information with lightweight UAV snapshot cameras for vegetation monitoring: From camera calibration to quality assurance
* 2015: Georeferencing Multi-source Geospatial Data Using Multi-temporal TerraSAR-X Imagery: a Case Study in Qixing Farm, Northeast China
* 2015: Integration of Remote Sensing Data and Basic Geodata at Different Scale Levels for Improved Land Use Analyses
* 2015: Investigating Within-Field Variability of Rice from High Resolution Satellite Imagery in Qixing Farm County, Northeast China
* 2015: Low-weight and UAV-based Hyperspectral Full-frame Cameras for Monitoring Crops: Spectral Comparison with Portable Spectroradiometer Measurements
* 2015: Satellite Remote Sensing-Based In-Season Diagnosis of Rice Nitrogen Status in Northeast China
* 2016: Best Accuracy Land Use/Land Cover (LULC) Classification to Derive Crop Types Using Multitemporal, Multisensor, and Multi-Polarization SAR Satellite Images
* 2016: Comparison of UAV- and TLS-derived Plant Height for Crop Monitoring: Using Polygon Grids for the Analysis of Crop Surface Models (CSMs), A
* 2016: Comparison Of Uncalibrated RGBVI With Spectrometer-based NDVI Derived From UAV Sensing Systems On Field Scale
* 2016: Evaluating Dense 3d Reconstruction Software Packages For Oblique Monitoring Of Crop Canopy Surface
* 2016: Multi-temporal Crop Surface Models Combined with the RGB Vegetation Index From UAV-based Images for Forage Monitoring In Grassland
* 2016: Non-destructive Monitoring Of Rice By Hyperspectral In-field Spectrometry And Uav-based Remote Sensing: Case Study Of Field-grown Rice In North Rhine-westphalia, Germany
* 2016: Potential Of Multitemporal Tandem-x Derived Crop Surface Models For Maize Growth Monitoring
* 2017: In Memorium: Gunter Menz
* 2017: Investigating the Influence of Different DEMs on GIS-Based Cost Distance Modeling for Site Catchment Analysis of Prehistoric Sites in Andalusia
* 2017: Potential of RapidEye and WorldView-2 Satellite Data for Improving Rice Nitrogen Status Monitoring at Different Growth Stages
* 2018: Estimating Barley Biomass with Crop Surface Models from Oblique RGB Imagery
* 2019: Estimating Nitrogen from Structural Crop Traits at Field Scale: A Novel Approach Versus Spectral Vegetation Indices
* 2019: In-Season Diagnosis of Rice Nitrogen Status Using Proximal Fluorescence Canopy Sensor at Different Growth Stages
* 2019: Potential of Non-calibrated Uav-based Rgb Imagery for Forage Monitoring: Case Study At The Rengen Long-term Grassland Experiment (RGE), Germany
* 2019: Ultra-high Spatial Resolution Uav-based Imagery to Predict Biomass In Temperate Grasslands
* 2020: First Investigation of Mediterranean Oak Tree Vitality With High-resolution Worldview-3 Satellite Data: Comparing Ten Vegetation Indices and Three Machine Learning Classifiers
* 2020: Fusion of Sentinel-1 with Official Topographic and Cadastral Geodata for Crop-Type Enriched LULC Mapping Using FOSS and Open Data
* 2021: Investigating the Potential of a Newly Developed UAV-Mounted VNIR/SWIR Imaging System for Monitoring Crop Traits: A Case Study for Winter Wheat
* 2021: Upscaling and Validation of RTK-direct Georeferenced UAV-based RGB Image Data with Planet Imagery Using Polygon Grids for Pasture Monitoring
* 2022: Herbage Mass, N Concentration, and N Uptake of Temperate Grasslands Can Adequately Be Estimated from UAV-Based Image Data Using Machine Learning
* 2023: Review of Estimation Methods for Aboveground Biomass in Grasslands Using UAV, A
Includes: Bareth, G.[Georg] Bareth, G. Bareth, G.[George]
54 for Bareth, G.
Barezi, E.J.[Elham J.]
* 2017: Multi-Label learning in the independent label sub-spaces
* 2018: Multi-Label learning in the independent label sub-spaces