Kirsacanin, B.
* 1994: Fast Thresholded Linear Convolution Representation of Morphological Operations, A
Kirsch, A.[Andreas]
* 2023: Deep Deterministic Uncertainty: A New Simple Baseline
Kirsch, C.
* 1993: Evaluation of Communication Methods for User Participation in Data Modeling
Kirsch, M.[Matthias]
* 2014: Wavelet Subspace Analysis of Intraoperative Thermal Imaging for Motion Filtering
* 2018: Integration of Terrestrial and Drone-Borne Hyperspectral and Photogrammetric Sensing Methods for Exploration Mapping and Mining Monitoring
* 2018: Integration of Vessel-Based Hyperspectral Scanning and 3D-Photogrammetry for Mobile Mapping of Steep Coastal Cliffs in the Arctic
* 2018: Radiometric Correction and 3D Integration of Long-Range Ground-Based Hyperspectral Imagery for Mineral Exploration of Vertical Outcrops
* 2019: Structural Similarity Based Anatomical and Functional Brain Imaging Fusion
* 2020: Integrated Geological and Geophysical Mapping of a Carbonatite-Hosting Outcrop in Siilinjärvi, Finland, Using Unmanned Aerial Systems
* 2022: Automated Multi-Scale and Multivariate Geological Logging from Drill-Core Hyperspectral Data
Includes: Kirsch, M.[Matthias] Kirsch, M.[Moritz]
7 for Kirsch, M.
Kirsch, N.J.
* 2016: De-noising Scheme Based on the Null Hypothesis of Intrinsic Mode Functions, A
* 2017: Intrinsic Mode Function Based Noise Power Estimation With Applications to Semiblind Spectrum Sensing Methods
* 2019: Optimized De-Noising Scheme Based on the Null Hypothesis of Intrinsic Mode Functions, An
Kirsch, R.A.
* 1957: Experiments in Processing Pictorial Information with a Digital Computer
* 1964: Computer Interpretation of English Text and Picture Patterns
* 1971: Computer Determination of the Constituent Structure of Biological Images
* 1972: Resynthesis of Biological Iamges from Tree-Structured Decomposition Data
Kirschbaum, A.R.[Alan R.]
* 1997: Gaze tracking using optical coherence tomography
Kirschbaum, D.[Dalia]
* 2019: Use of Very High-Resolution Optical Data for Landslide Mapping and Susceptibility Analysis along the Karnali Highway, Nepal
* 2020: Potential of GPM IMERG Precipitation Estimates to Monitor Natural Disaster Triggers in Urban Areas: The Case of Rio de Janeiro, Brazil
Kirschenbaum, A.[Amit]
* 2021: Geo-L: Topological Link Discovery for Geospatial Linked Data Made Easy
Kirschke, J.S.[Jan S.]
* 2020: Reinforced Redetection of Landmark in Pre- and Post-operative Brain Scan Using Anatomical Guidance for Image Alignment
Kirschmann, M.[Moritz]
* 2014: Demon registration for 3D images obtained by serial block face scanning electron microscopy
Kirschmeyer, M.[Martin]
* 2008: Cluster tracking with Time-of-Flight cameras
Kirschner, M.[Matthias]
* 2013: Opening up the black box of medical image segmentation with statistical shape models
* 2014: Using image segmentation for evaluating 3D statistical shape models built with groupwise correspondence optimization
Kirschstein, S.[Steffen]
* 2020: Sentinel-3A/B SLSTR Pre-Launch Calibration of the Thermal InfraRed Channels
Kirschstein, T.[Tobias]
* 2023: Learning Neural Parametric Head Models
Kirscht, M.
* 1998: 3d Reconstruction of Buildings and Vegetation from Synthetic Aperture Radar (sar) Images
Kirsh, D.
* 1991: Today the Earwig, Tomorrow Man?
Kirsh, R.A.
* 1977: Image Analysis in Paper Manufacturing
Kirshanthan, S.
* 2014: Layered Depth Image Based HEVC Multi-view Codec
Kirshner, H.[Hagai]
* 2009: On the Role of Exponential Splines in Image Interpolation
* 2009: stochastic model-based approach to image and texture interpolation, A
* 2011: Resolution-invariant separable ARMA modeling of images
* 2012: Is Uniqueness Lost for Under-Sampled Continuous-Time Auto-Regressive Processes?
* 2014: Adaptive Image Resizing Based on Continuous-Domain Stochastic Modeling
Includes: Kirshner, H.[Hagai] Kirshner, H.
Kirshner, M.[Mitchell]
* 2019: Human-Computer Interaction for Space Situational Awareness (SSA): Towards the SSA Integrated Sensor Viewer (ISV)
Kirshner, S.
* 2002: Probabilistic model-based detection of bent-double radio galaxies
Kirste, T.[Thomas]
* 2012: Combining DTI and MRI for the Automated Detection of Alzheimer's Disease Using a Large European Multicenter Dataset
Kirstein, S.[Stephan]
* 2005: Rapid Online Learning of Objects in a Biologically Motivated Recognition Architecture
* 2008: Online Learning for Bootstrapping of Object Recognition and Localization in a Biologically Motivated Architecture
Kirsten, L.[Ln]
* 2022: Can we trust bounding box annotations for object detection?
Kirsten, L.N.[Lucas N.]
* 2024: Probabilistic Intersection-Over-Union for Training and Evaluation of Oriented Object Detectors
Kirsten, T.[Toralf]
* 2018: Understanding Forest Health with Remote Sensing, Part III: Requirements for a Scalable Multi-Source Forest Health Monitoring Network Based on Data Science Approaches
* 2022: Remote Sensing of Geomorphodiversity Linked to Biodiversity: Part III: Traits, Processes and Remote Sensing Characteristics
Kirstetter, P.
* 2014: Incorporating Surface Soil Moisture Information in Error Modeling of TRMM Passive Microwave Rainfall
Kirstetter, P.E.[Pierre Emmanuel]
* 2016: Evaluation and Uncertainty Estimation of the Latest Radar and Satellite Snowfall Products Using SNOTEL Measurements over Mountainous Regions in Western United States
* 2021: Twentieth and Twenty-First Century Water Storage Changes in the Nile River Basin from GRACE/GRACE-FO and Modeling
Includes: Kirstetter, P.E.[Pierre Emmanuel] Kirstetter, P.E.[Pierre-Emmanuel]