Krusch, P.
* 2016: Training a convolutional neural network for multi-class object detection using solely virtual world data
* 2017: consistent two-level metric for evaluation of automated abandoned object detection methods, A
Krusche, K.[Krupali]
* 2018: 3D Documentation and Visualization of the Forum Romanum
Kruschel, C.[Claudia]
* 2015: Croatian Fish Dataset: Fine-grained classification of fish species in their natural habitat
Kruschwitz, S.[Sabine]
* 2021: Ontology-Based Approach to Enable Data-Driven Research in the Field of NDT in Civil Engineering, An
Kruse, B.[Bjorn]
* 1973: Parallel Picture Processing Machine, A
* 1977: Design and Implementation of a Picture Processor
* 1978: Checking Connectivity Preservation Properties of Some Types of Picture Processing Operations
* 1978: Matched Filtering Technique for Corner Detection, A
* 1979: Distance Checking Algorithms
* 1983: Algorithms for Circular Propagation in Discrete Images
* 2005: Color Measurements with a Consumer Digital Camera Using Spectral Estimation Techniques
* 2016: Tree Species Classification Using Hyperspectral Imagery: A Comparison of Two Classifiers
Includes: Kruse, B.[Bjorn] Kruse, B. Kruse, B.[Björn] Kruse, B.[Bill]
8 for Kruse, B.
Kruse, C.
* 2014: Extraction of fluvial networks in lidar data using marked point processes
* 2016: Network Detection In Raster Data Using Marked Point Processes
* 2019: Marked Point Processes for The Automatic Detection of Bomb Craters In Aerial Wartime Images
* 2019: Supervised Detection of Bomb Craters in Historical Aerial Images Using Convolutional Neural Networks
Kruse, D.[Daniel]
* 2012: Human tracking from a mobile agent: Optical flow and Kalman filter arbitration
Kruse, D.E.
* 2004: High-Resolution Functional Vascular Assessment With Ultrasound
Kruse, F.
* 2004: Target classification based on near-distance radar sensors
Kruse, F.A.
* 2011: Analysis of Imaging Spectrometer Data Using N-Dimensional Geometry and a Mixture-Tuned Matched Filtering Approach
* 2013: Mineral Mapping Using Simulated Worldview-3 Short-Wave-Infrared Imagery
* 2016: Enhanced Compositional Mapping through Integrated Full-Range Spectral Analysis
Includes: Kruse, F.A. Kruse, F.A.[Fred A.]
Kruse, J.
* 2009: Detecting Concealment of Intent in Transportation Screening: A Proof of Concept
* 2017: Learning to Push the Limits of Efficient FFT-Based Image Deconvolution
* 2020: Conditional Invertible Neural Networks for Diverse Image-to-Image Translation
Includes: Kruse, J. Kruse, J.[Jakob]
Kruse, L.A.[Liam A.]
* 2022: Hybrid Rule-Based and Data-Driven Approach to Driver Modeling Through Particle Filtering, A
Kruse, P.[Paul]
* 2020: Efficient Deep Face Alignment with Explicit Statistical Shape Models in Convolutional Neural Networks
Kruse, S.[Silko]
* 1998: Image Analysis for 3D Modeling, Rendering, and Virtual View Generation
* 2019: Advances in the Derivation of Northeast Siberian Forest Metrics Using High-Resolution UAV-Based Photogrammetric Point Clouds
* 2019: Sparse Blind Deconvolution of Ground Penetrating Radar Data
Includes: Kruse, S.[Silko] Kruse, S.[Stefan] Kruse, S.
Kruse, S.M.
* 1996: Scene segmentation from dense displacement vector fields using randomized Hough transform
* 2001: Towards a low bandwidth talking face using appearance models
* 2003: Towards a low bandwidth talking face using appearance models
Krusemark, S.[Scott]
* 1983: Image Random File Access Routines
* 1983: Operating System Interface for Transportable Image Processing Software, An
Krusienski, D.J.
* 2016: Multiclass Steady-State Visual Evoked Potential Frequency Evaluation Using Chirp-Modulated Stimuli
Krusinska, E.
* 1987: valuation of state of object based on weighted Mahalanobis distance, A
* 1989: Two step semi-optimal branch and bound algorithm for feature selection in mixed variable discrimination
Includes: Krusinska, E. Krusinska, E.[Ewa]
Kruskal, C.P.
* 1990: Parallel Algorithm for List Ranking Image Curves in O(log N) Time, A
* 1991: Massively Parallel Processing of Image Contours
* 1993: Efficient Parallel Processing of Image Contours
Kruskal, J.B.
* 1988: On the Congruence of Noisy Images to Line Segment Models
* 1990: Predicting and Estimating the Accuracy of a Subpixel Registration Algorithm
Kruss, A.[Aleksandra]
* 2018: Nearshore Benthic Habitat Mapping Based on Multi-Frequency, Multibeam Echosounder Data Using a Combined Object-Based Approach: A Case Study from the Rowy Site in the Southern Baltic Sea
* 2020: Spatial and Temporal Changes of Tidal Inlet Using Object-Based Image Analysis of Multibeam Echosounder Measurements: A Case from the Lagoon of Venice, Italy
* 2021: Measurement of Seafloor Acoustic Backscatter Angular Dependence at 150 kHz Using a Multibeam Echosounder
Krustalev, Y.[Yury]
* 2021: ISP4ML: The Role of Image Signal Processing in Efficient Deep Learning Vision Systems
Kruszewski, A.
* 2018: AQUI Soil Moisture Network for Satellite Microwave Remote Sensing Validation in South-Western France, The
Kruszewski, D.[Damian]
* 2017: Detection of Atypical Elements by Transforming Task to Supervised Form