Jorg, S.
* 2004: FPGA based real-time visual servoing
Jorge, A.M.[Alipio M.]
* 2006: Design of an end-to-end method to extract information from tables
* 2013: Combining usage and content in an online recommendation system for music in the Long Tail
Includes: Jorge, A.M.[Alipio M.] Jorge, A.M.[Alípio M.] Jorge, A.M.[Alípio Mário]
Jorge, C.[Catarina]
* 2021: Using Digital Photography to Track Understory Phenology in Mediterranean Cork Oak Woodlands
Jorge, D.
* 2014: Comparing Optimal Relocation Operations With Simulated Relocation Policies in One-Way Carsharing Systems
* 2023: Band Ratios Combination for Estimating Chlorophyll-a from Sentinel-2 and Sentinel-3 in Coastal Waters
Includes: Jorge, D. Jorge, D.[Daniel]
Jorge, D.S.[Daniel Schaffer]
* 2020: Mapping of Diffuse Attenuation Coefficient in Optically Complex Waters of Amazon Floodplain Lakes
Jorge, D.S.F.[Daniel S. F.]
* 2014: Analysis of MERIS Reflectance Algorithms for Estimating Chlorophyll-a Concentration in a Brazilian Reservoir
* 2017: SNR (Signal-To-Noise Ratio) Impact on Water Constituent Retrieval from Simulated Images of Optically Complex Amazon Lakes
* 2019: Deriving Particulate Organic Carbon in Coastal Waters from Remote Sensing: Inter-Comparison Exercise and Development of a Maximum Band-Ratio Approach
* 2022: Characterising retrieval uncertainty of chlorophyll-a algorithms in oligotrophic and mesotrophic lakes and reservoirs
Includes: Jorge, D.S.F.[Daniel S. F.] Jorge, D.S.F.[Daniel S.F.] Jorge, D.S.F.[Daniel Schaffer Ferreira]
Jorge, E.[Eduardo]
* 2014: mobile, lightweight, poll-based food identification system, A
Jorge, F.[Flavio]
* 2022: SMOS ESA RFI Monitoring and Information Tool: Lessons Learned
Includes: Jorge, F.[Flavio] Jorge, F.[Flávio]
Jorge, J.
* 2009: Implicit Curves and Surfaces: Mathematics, Data Structures and Algorithms
* 2010: real-time low-cost marker-based multiple camera tracking solution for virtual reality applications, A
* 2011: Sketch-based Interfaces and Modeling
* 2012: Towards An Immersive Interface For 3d Object Retrieval
* 2014: Mid-air interactions above stereoscopic interactive tables
* 2017: Multi-Task Convolutional Neural Network for Patient Detection and Skin Segmentation in Continuous Non-Contact Vital Sign Monitoring
* 2017: Non-Contact Monitoring of Respiration in the Neonatal Intensive Care Unit
* 2017: Non-Contact Vital Sign Monitoring in the Clinic
* 2018: Passive-Aggressive online learning with nonlinear embeddings
* 2023: Deep Learning-Enabled Sleep Staging From Vital Signs and Activity Measured Using a Near-Infrared Video Camera
* 2023: Sticks and STONES may build my bones: Deep learning reconstruction of limb rotations in stick figures
Includes: Jorge, J. Jorge, J.[Joaquim] Jorge, J.[Javier] Jorge, J.[João]
11 for Jorge, J.
Jorge, J.A.[Joaquim A.]
* 2001: Experimental evaluation of an on-line scribble recognizer
* 2004: Retrieving ClipArt Images by Content
* 2007: Mnemonical Body Shortcuts for Interacting with Mobile Devices
* 2010: haptic-based immersive environment for shape analysis and modelling, An
* 2010: IMMIView: a multi-user solution for design review in real-time
* 2010: Thesaurus-based 3D Object Retrieval with Part-in-Whole Matching
* 2015: Survey on Implicit Surface Polygonization, A
* 2018: Explicit design of transfer functions for volume-rendered images by combining histograms, thumbnails, and sketch-based interaction
8 for Jorge, J.A.
Jorge, J.A.P.
* 2010: syntactic approach based on distortion-tolerant Adjacency Grammars and a spatial-directed parser to interpret sketched diagrams, A
Jorge, L.R.[Leonardo Re]
* 2011: Segmentation of Similar Images Using Graph Matching and Community Detection
* 2014: Automatic identification of fruit flies (Diptera: Tephritidae)
Includes: Jorge, L.R.[Leonardo Re] Jorge, L.R.[Leonardo Ré] Jorge, L.R.
Jorge, M.L.S.P.[Maria Luisa S.P.]
* 2019: Spatiotemporal Patterns and Phenology of Tropical Vegetation Solar-Induced Chlorophyll Fluorescence across Brazilian Biomes Using Satellite Observations
* 2023: Comparing Phenology of a Temperate Deciduous Forest Captured by Solar-Induced Fluorescence and Vegetation Indices
Includes: Jorge, M.L.S.P.[Maria Luisa S.P.] Jorge, M.L.S.P.[Maria Luisa S. P.]
Jorge, P.M.
* 1997: Hidden Markov Models vs. Syntactic Modeling in Object Recognition
* 2000: Visual inspection of a combustion process in a thermoelectric plant
* 2004: Estimation of the bayesian network architecture for object tracking in video sequences
Includes: Jorge, P.M. Jorge, P.M.[Pedro M.]
Jorge, R.
* 2020: Augmented reality for children with Autism Spectrum Disorder. A systematic review.
Jorge, R.M.N.[R.M. Natal]
* 2009: Advances in Computational Vision and Medical Image Processing: Methods and Applications
* 2011: Computational Vision and Medical Image Processing: Recent Trends
Includes: Jorge, R.M.N.[R.M. Natal] Jorge, R.M.N.[R. M. Natal]
Jorgensen, A.[Anders]
* 2013: Long-Term Occupancy Analysis Using Graph-Based Optimisation in Thermal Imagery
* 2015: Detecting Gallbladders in Chicken Livers using Spectral Imaging Anders
* 2016: RGB-D Segmentation of Poultry Entrails
* 2017: Diagnosis of Broiler Livers by Classifying Image Patches
* 2018: Classify Broiler Viscera Using an Iterative Approach on Noisy Labeled Training Data
* 2018: Patient's Body Motion Study Using Multimodal RGBDT Videos
* 2019: Weight Estimation of Broilers in Images Using 3D Prior Knowledge
Includes: Jorgensen, A.[Anders] Jørgensen, A.[Anders]
7 for Jorgensen, A.
Jorgensen, B.[Brandon]
* 2021: HEp-2 Specimen Cell Detection and Classification Using Very Deep Convolutional Neural Networks-Based Cell Shape
Jorgensen, C.
* 2002: Semantics of multimedia in MPEG-7
* 2008: Special Issue on Tribute Workshop for Peter Johansen
Includes: Jorgensen, C. Jørgensen, C.[Camilla]
Jorgensen, C.L.[Carl L.]
* 2020: Mapping Multiple Insect Outbreaks across Large Regions Annually Using Landsat Time Series Data
Jorgensen, E.
* 2014: Segmentation of sows in farrowing pens
Includes: Jorgensen, E. Jørgensen, E.
Jorgensen, J.
* 2018: Analyzing Reconstruction Artifacts from Arbitrary Incomplete X-ray CT Data
Includes: Jorgensen, J. Jørgensen, J.
Jorgensen, J.R.[Johannes Ravn]
* 2011: Analysis of Seed Sorting Process by Estimation of Seed Motion Trajectories
Includes: Jorgensen, J.R.[Johannes Ravn] Jørgensen, J.R.[Johannes Ravn]
Jorgensen, J.S.
* 2013: Quantifying Admissible Undersampling for Sparsity-Exploiting Iterative Image Reconstruction in X-Ray CT
* 2016: Noise robustness of a combined phase retrieval and reconstruction method for phase-contrast tomography
* 2017: Automated angular and translational tomographic alignment and application to phase-contrast imaging
* 2021: Core Imaging Library - Part I: a versatile Python framework for tomographic imaging
* 2021: Core Imaging Library - Part II: multichannel reconstruction for dynamic and spectral tomography
* 2021: Synergistic Tomographic Image Reconstruction: Part 1
* 2021: Synergistic Tomographic Image Reconstruction: Part 2
* 2023: Regularized Material Decomposition for K-edge Separation in Hyperspectral Computed Tomography
Includes: Jorgensen, J.S. Jorgensen, J.S.[Jakob Sauer] Jørgensen, J.S. Jørgensen, J.S.[Jakob S.] Jørgensen, J.S.[Jakob Sauer]
8 for Jorgensen, J.S.
Jorgensen, M.[Marit]
* 2019: Yield Estimates by a Two-Step Approach Using Hyperspectral Methods in Grasslands at High Latitudes
* 2021: Bayesian Triplet Loss: Uncertainty Quantification in Image Retrieval
Includes: Jorgensen, M.[Marit] Jørgensen, M.[Marit] Jørgensen, M.[Martin]
Jorgensen, M.W.[Marius Willemoes]
* 2021: Determining Dendrometry Using Drone Scouting, Convolutional Neural Networks and Point Clouds
Includes: Jorgensen, M.W.[Marius Willemoes] Jørgensen, M.W.[Marius Willemoes]
Jorgensen, N.K.[Nicolai K.]
* 2016: Initiating GrabCut by color difference for automatic foreground extraction of passport imagery
Jorgensen, P.S.[Peter S.]
* 2009: Unsupervised Assessment of Subcutaneous and Visceral Fat by MRI
* 2015: Dictionary Based Segmentation in Volumes
Includes: Jorgensen, P.S.[Peter S.] Jørgensen, P.S.[Peter S.] Jørgensen, P.S.[Peter Stanley]
Jorgensen, R.N.[Rasmus N.]
* 2015: Object Detection and Terrain Classification in Agricultural Fields Using 3D Lidar Data
* 2016: Stereo and Active-Sensor Data Fusion for Improved Stereo Block Matching
* 2019: Disentangling Information in Artificial Images of Plant Seedlings Using Semi-Supervised GAN
* 2019: Novel Spatio-Temporal FCN-LSTM Network for Recognizing Various Crop Types Using Multi-Temporal Radar Images, A
* 2020: Open Plant Phenotype Database of Common Weeds in Denmark
Includes: Jorgensen, R.N.[Rasmus N.] Jørgensen, R.N.[Rasmus N.] Jørgensen, R.N.[Rasmus Nyholm]
Jorgensen, S.M.
* 2008: Reproducibility of Global and Local Reconstruction of Three-Dimensional Micro-Computed Tomography of Iliac Crest Biopsies
Jorgensen, T.M.
* 1996: Detecting Danger Labels with RAM-Based Neural Networks
* 1996: Shape Recognition System for Automatic Disassembly of TV-Sets
* 1996: Visual Guidance of a Pig Evisceration Robot Using Neural Networks
* 1999: Theoretical Analysis and Improved Decision Criteria for the n-Tuple Classifier
* 2017: Interpolation from Grid Lines: Linear, Transfinite and Weighted Method
Includes: Jorgensen, T.M. Jorgensen, T.M.[Thomas Martini] Jørgensen, T.M.[Thomas Martini]
Jorgenson, J.C.[Janet C.]
* 2018: Landscape Change Detected over a Half Century in the Arctic National Wildlife Refuge Using High-Resolution Aerial Imagery
Jorgenson, M.T.[Mark T.]
* 2016: Landscape Effects of Wildfire on Permafrost Distribution in Interior Alaska Derived from Remote Sensing
* 2018: Assessment of LiDAR and Spectral Techniques for High-Resolution Mapping of Sporadic Permafrost on the Yukon-Kuskokwim Delta, Alaska
* 2018: Drivers of Landscape Changes in Coastal Ecosystems on the Yukon-Kuskokwim Delta, Alaska
* 2018: Landscape Change Detected over a Half Century in the Arctic National Wildlife Refuge Using High-Resolution Aerial Imagery
* 2018: Regional Patterns and Asynchronous Onset of Ice-Wedge Degradation since the Mid-20th Century in Arctic Alaska
* 2020: Transferability of the Deep Learning Mask R-CNN Model for Automated Mapping of Ice-Wedge Polygons in High-Resolution Satellite and UAV Images
Includes: Jorgenson, M.T.[Mark T.] Jorgenson, M.T.[M. Torre]
Jorgenson, T.[Torre]
* 2021: Object-Based Approach for Mapping Tundra Ice-Wedge Polygon Troughs from Very High Spatial Resolution Optical Satellite Imagery, An
Jorges, C.[Christoph]
* 2022: Fine-Scale Mapping of Soil Organic Matter in Agricultural Soils Using UAVs and Machine Learning
* 2023: Detection of Solar Photovoltaic Power Plants Using Satellite and Airborne Hyperspectral Imaging
Includes: Jorges, C.[Christoph] Jörges, C.[Christoph] (Maybe also Joerges, C.)