Krauß, T.
* 2007: Extracting Orthogonal Building Objects in Urban Areas from High Resolution Stereo Satellite Image Pairs
* 2008: Generation of COARSE 3D Models of Urban Areas from High Resolution Stereo Satellite Image
* 2009: Automated DSM based Georeferencing of CARTOSAT-1 Stereo Scenes
* 2009: Refinement of Urban Digital Elevation Models from Very High Resolution Stereo Satellite Images
* 2010: Benchmarking and quality analysis of DEM generated from high and very high resolution optical stereo satellite data
* 2011: Morphological filling of digital elevation models
* 2011: Region Based Forest Change Detection from CARTOSAT-1 Stereo Imagery
* 2013: Automatic Model Selection for 3D Reconstruction of Buildings from Satellite Imagary
* 2013: Fully Automatic Optical Processing System CATENA at DLR, The
* 2013: Traffic Flow Estimation from Single Satellite Images
* 2014: Automatic surface classification for retrieving areas which are highly endangered by extreme rain
* 2014: Building Roof Component Extraction from Panchromatic Satellite Images Using a Clustering-Based Method
* 2014: Exploiting Satellite Focal Plane Geometry for Automatic Extraction of Traffic Flow from Single Optical Satellite Imagery
* 2015: Preprocessing of Satellite Data for Urban Object Extraction
* 2015: Statistical Building Roof Reconstruction from Worldview-2 Stereo Imagery
* 2016: New Method To Detect Regions Endangered By High Wind Speeds, A
* 2017: Automatic Rooftop Extraction in Stereo Imagery Using Distance And Building Shape Regularized Level Set Evolution
* 2017: Enhanced Algorithm for Automatic Radiometric Harmonization Of High-resolution Optical Satellite Imagery Using Pseudoinvariant Features And Linear Regression, An
* 2018: Towards HD Maps from Aerial Imagery: Robust Lane Marking Segmentation Using Country-Scale Imagery
* 2019: Precise Aerial Image Orientation Using SAR Ground Control Points For Mapping of Urban Landmarks
Includes: Krauß, T. Krauß, T.[Thomas]
20 for Krauß, T.
Krauledat, M.[Matthias]
* 2006: Importance-Weighted Cross-Validation for Covariate Shift
Kraus, A.[Andrea]
* 2021: Boosting Instance Segmentation with Synthetic Data: A study to overcome the limits of real world data sets
* 2024: Time Series Analysis of Multisensor Data for Precision Viticulture: Assessing Microscale Variations in Plant Development with Respect to Irrigation and Topography
* 2024: Toward a European Facility for Ground-Based Radar Observations of Near-Earth Objects
Includes: Kraus, A.[Andrea] Kraus, A.[Anja] Kraus, A.[Alexander]
Kraus, C.N.[Cleber Nunes]
* 2021: Phytoplankton Genera Structure Revealed from the Multispectral Vertical Diffuse Attenuation Coefficient
Kraus, D.[Dieter]
* 2011: Modeling Distance Nonlinearity in ToF Cameras and Correction Based on Integration Time Offsets
* 2012: Coupled curve evolution equations for ternary images in sidescan-sonar images guided by Lamé curves for object recognition
* 2012: hybrid relevance measure for feature selection and its application to underwater objects recognition, A
* 2015: Contributions to Automatic Target Recognition Systems for Underwater Mine Classification
Includes: Kraus, D.[Dieter] Kraus, D.
Kraus, E.J.
* 1993: Gray-scale granulometries compatible with spatial scalings
Kraus, F.
* 2020: Seeing Around Street Corners: Non-Line-of-Sight Detection and Tracking In-the-Wild Using Doppler Radar
* 2020: Seeing Through Fog Without Seeing Fog: Deep Multimodal Sensor Fusion in Unseen Adverse Weather
Kraus, J.
* 1993: VLSI chip set for DPCM coding of HDTV signals, A
Kraus, K.
* 1992: Method to Design Filters for Image Smoothing, A
* 1998: Determination of terrain models in wooded areas with airborne laser scanner data
Kraus, M.[Martin]
* 2007: GPU-Based Edge-Directed Image Interpolation
* 2012: Practical Implementation of a Graphics Turing Test
* 2015: Pointing with a One-Eyed Cursor for Supervised Training in Minimally Invasive Robotic Surgery
* 2021: AerialMPTNet: Multi-Pedestrian Tracking in Aerial Imagery Using Temporal and Graphical Features
* 2021: Multiple Pedestrians and Vehicles Tracking in Aerial Imagery Using a Convolutional Neural Network
* 2021: Towards the Development of a Trustworthy Chatbot for Mental Health Applications
Includes: Kraus, M.[Martin] Kraus, M. Kraus, M.[Maximilian] Kraus, M.[Matthias]
Kraus, O.[Oren]
* 2023: RxRx1: A Dataset for Evaluating Experimental Batch Correction Methods
Kraus, S.
* 2019: Concept for An Automated Approach of Public Transport Vehicles to A Bus Stop, A
* 2019: Multi-robot adversarial patrolling: Handling sequential attacks
* 2020: Concept on Landmark Detection In Road Scene Images Taken From A Top-view Camera System
* 2020: When security games hit traffic: A deployed optimal traffic enforcement system
Includes: Kraus, S. Kraus, S.[Sarit]
Kraus, T.[Thomas]
* 2011: Markov-Gibbs model based registration of CT lung images using subsampling for the follow-up assessment of pleural thickenings
* 2012: Relative height error analysis of TanDEM-X elevation data
* 2016: Wrapped Staring Spotlight SAR
* 2021: Potential and Challenges of Harmonizing 40 Years of AVHRR Data: The TIMELINE Experience
* 2023: Scientific Evidence from Space: A Review of Spaceborne Remote Sensing Applications at the Science-Policy Interface
Includes: Kraus, T.[Thomas] Kraus, T. Kraus, T.[Tanja]
Kraus, U.E.
* 1997: Training-Sequence Assisted QAM-Concepts for Digital Terrestrial TV Transmission
Kraus, W.
* 2011: Iterative Quadratic Optimization for the Bus Holding Control Problem
* 2015: Microsimulation Analysis of Practical Aspects of Traffic Control With Variable Speed Limits
* 2019: Real-Time Integrated Holding and Priority Control Strategy for Transit Systems
* 2020: Headway Control in Bus Transit Corridors Served by Multiple Lines
Krause, A.[Andreas]
* 2008: Optimizing Sensing: Theory and Applications
* 2015: Higher-Order Inference for Multi-class Log-Supermodular Models
* 2016: Suggesting Sounds for Images from Video Collections
* 2020: Hierarchical Image Classification using Entailment Cone Embeddings
* 2020: Semi-supervised Learning for Grain Size Distribution Interpolation
* 2021: Cherry-Picking Gradients: Learning Low-Rank Embeddings of Visual Data via Differentiable Cross-Approximation
Includes: Krause, A.[Andreas] Krause, A.[Anna]
Krause, B.J.
* 1997: Markov Random-Field Segmentation of Brain MR-Images
Krause, C.E.[Claire E.]
* 2021: Mapping and Monitoring the Multi-Decadal Dynamics of Australia's Open Waterbodies Using Landsat
Krause, D.[Detmar]
* 2021: Potential and Challenges of Harmonizing 40 Years of AVHRR Data: The TIMELINE Experience
Krause, E.A.[Edward A.]
* 1993: Adaptive motion compensation using a plurality of motion compensators
Krause, F.L.
* 1993: Automatic recognition of scanned technical drawings
Krause, J.
* 2000: Spiral interpolation algorithm for multislice spiral CT. I. Theory
* 2000: Spiral interpolation algorithms for multislice spiral CT. II. Measurement and evaluation of slice sensitivity profiles and noise at a clinical multislice system
* 2007: Efficient Learning of Neural Networks with Evolutionary Algorithms
* 2012: Fine-Grained Categorization for 3D Scene Understanding
* 2012: Hedging your bets: Optimizing accuracy-specificity trade-offs in large scale visual recognition
* 2013: 3D Object Representations for Fine-Grained Categorization
* 2013: Fine-Grained Crowdsourcing for Fine-Grained Recognition
* 2014: Learning Features and Parts for Fine-Grained Recognition
* 2015: Fine-grained recognition without part annotations
* 2015: ImageNet Large Scale Visual Recognition Challenge
* 2016: Leveraging the Wisdom of the Crowd for Fine-Grained Recognition
* 2016: Unreasonable Effectiveness of Noisy Data for Fine-Grained Recognition, The
* 2017: Hierarchical Approach for Generating Descriptive Image Paragraphs, A
* 2018: Tool Detection and Operative Skill Assessment in Surgical Videos Using Region-Based Convolutional Neural Networks
Includes: Krause, J. Krause, J.[Jochen] Krause, J.[Jonathan]
14 for Krause, J.
Krause, J.R.[Johannes R.]
* 2021: Emerging Sensor Platforms Allow for Seagrass Extent Mapping in a Turbid Estuary and from the Meadow to Ecosystem Scale
Krause, K.[Keith]
* 2017: Gold: A novel deconvolution algorithm with optimization for waveform LiDAR processing
* 2018: From LiDAR Waveforms to Hyper Point Clouds: A Novel Data Product to Characterize Vegetation Structure
* 2020: Detecting Change in Forest Structure with Simulated GEDI Lidar Waveforms: A Case Study of the Hemlock Woolly Adelgid (HWA; Adelges tsugae) Infestation
* 2020: Simulations of Leaf BSDF Effects on Lidar Waveforms
Krause, M.[Michael]
* 2016: Fast retinal vessel analysis
* 2019: MOTS: Multi-Object Tracking and Segmentation
Krause, O.[Oswin]
* 2017: Convolutional Neural Networks for Segmentation and Object Detection of Human Semen
* 2018: Population-Contrastive-Divergence: Does consistency help with RBM training?
* 2021: Bayesian Active Learning for Maximal Information Gain on Model Parameters
Krause, P.[Paul]
* 1999: Detection of Blood Perfusion
* 2013: Water Balance Modeling in a Semi-Arid Environment with Limited in situ Data Using Remote Sensing in Lake Manyara, East African Rift, Tanzania
* 2022: Taxonomy and Survey of Edge Cloud Computing for Intelligent Transportation Systems and Connected Vehicles, A
Includes: Krause, P.[Paul] Krause, P.
Krause, R.[Rolf]
* 2021: Learning Atrial Fiber Orientations and Conductivity Tensors from Intracardiac Maps Using Physics-Informed Neural Networks
Krause, S.
* 2012: Remission based improvement of extrinsic parameter calibration of camera and laser scanner
* 2019: UAV-Based Photogrammetric Tree Height Measurement for Intensive Forest Monitoring
* 2020: Enhancing Remote-PPG Pulse Extraction in Disturbance Scenarios Utilizing Spectral Characteristics
Includes: Krause, S. Krause, S.[Stuart]
Krause, W.
* 1996: Instantaneous Coherence as a Sensible Parameter for Considering Human Information Processing
Kraushaar, S.[Sabine]
* 2022: Classifying Sparse Vegetation in a Proglacial Valley Using UAV Imagery and Random Forest Algorithm
Krauskopf, E.
* 2014: Real-time depth fusion using a low-cost depth sensor array
Krauss, C.
* 1998: Real Time Tracking of Moving Objects with an Active Camera
Krauss, G.[Gunther]
* 2020: How Do Methods Assimilating Sentinel-2-Derived LAI Combined with Two Different Sources of Soil Input Data Affect the Crop Model-Based Estimation of Wheat Biomass at Sub-Field Level?
Krauss, T.[Thomas]
* 2006: Traffic monitoring with serial images from airborne cameras
* 2010: 3D Change Detection inside Urban Areas using different Digital Surface Models
* 2010: Enhancement of dense urban digital surface models from VHR optical satellite stereo data by pre-segmentation and object detection
* 2010: method for geometric processing of optical satellite images using automatically determined ground control information, A
* 2012: Performance Assessment Of Fully Automatic Three-dimensional City Model Reconstruction Methods
* 2014: DTM generation in forest regions from satellite stereo imagery
* 2016: Establishing a Remote Sensing Science Center in Cyprus: First Year of Activities of ATHENA Project
* 2020: Excelsior H2020 Widespread Teaming Phase 2 Project: Earth Observation and Geoinformatics Research and Innovation Agenda for Cultural Heritage
Includes: Krauss, T.[Thomas] Krauss, T.
8 for Krauss, T.
Krausz, B.[Barbara]
* 2010: Action Recognition in Videos Using Nonnegative Tensor Factorization
* 2011: Analyzing pedestrian behavior in crowds for automatic detection of congestions
* 2011: Automatic detection of dangerous motion behavior in human crowds
* 2012: Loveparade 2010: Automatic video analysis of a crowd disaster
Krausz, N.
* 2019: Environmental Data Delivery for Automotive Simulations By Laser Scanning
* 2021: Quality Aspects of High-definition Maps
Krautblatter, M.[Michael]
* 2022: Performance Testing of Optical Flow Time Series Analyses Based on a Fast, High-Alpine Landslide
Krauter, K.O.
* 1994: SENROB vision-system and its philosophy, The
Krautgartner, P.[Peter]
* 1999: Optimal Image Processing Architecture for Active Vision Systems
Krauth, N.[Niklas]
* 2014: Differential-Based Geometry and Texture Editing with Brushes
Krautli, F.[Florian]
* 2022: Building and Interpreting Deep Similarity Models
Includes: Krautli, F.[Florian] Kräutli, F.[Florian] (Maybe also Kraeutli, F.)
Krautwurst, S.[Sven]
* 2017: Reduced Methane Emissions from Santa Barbara Marine Seeps
Krauz, L.[Lukas]
* 2020: Assessing Cloud Segmentation in the Chromacity Diagram of All-Sky Images
Includes: Krauz, L.[Lukas] Krauz, L.[Lukáš]