Kula, M.
* 2017: Accelerating discrete wavelet transforms on GPUS
* 2019: Parallel wavelet schemes for images
Includes: Kula, M. Kula, M.[Michal]
Kulaczewski, M.B.
* 2003: Hibrid-SoC: a multi-core architecture for image and video applications
Kulagin, A.[Andrey]
* 2023: Mercury Prediction in Urban Soils by Remote Sensing and Relief Data Using Machine Learning Techniques
Kulahcioglu, T.
* 2020: Diag2graph: Representing Deep Learning Diagrams In Research Papers As Knowledge Graphs
Kulaixi, Z.[Zulipiya]
* 2022: Increased Compound Droughts and Heatwaves in a Double Pack in Central Asia
* 2023: Dynamic Evolution and Scenario Simulation of Ecosystem Services under the Impact of Land-Use Change in an Arid Inland River Basin in Xinjiang, China
* 2023: Increased Compound Droughts and Heatwaves in a Double Pack in Central Asia
Kulakci, H.[Hulya]
* 2016: Spatial Distrubiton Of Children Treated By Cancer In Zonguldak, Turkey
Includes: Kulakci, H.[Hulya] Kulakçi, H.[Hülya]
Kulakow, P.A.[Peter A.]
* 2021: Prediction of Root Biomass in Cassava Based on Ground Penetrating Radar Phenomics
Kulakowski, D.[Dominik]
* 2021: Effects of Bark Beetle Outbreaks on Forest Landscape Pattern in the Southern Rocky Mountains, U.S.A.
* 2022: Influence of Burn Severity on Post-Fire Spectral Recovery of Three Fires in the Southern Rocky Mountains, The
Kulal, S.[Sumith]
* 2021: Hierarchical Motion Understanding via Motion Programs
* 2022: Programmatic Concept Learning for Human Motion Description and Synthesis
* 2023: Putting People in Their Place: Affordance-Aware Human Insertion into Scenes
Kulandairaj, M.S.[Martin Sagayam]
* 2023: effective model for the iris regional characteristics and classification using deep learning alex network, An
Kular, D.[Dalwinder]
* 2015: Analyzing Activities in Videos Using Latent Dirichlet Allocation and Granger Causality
* 2015: Classifying Frog Calls Using Gaussian Mixture Models
Includes: Kular, D.[Dalwinder] Kular, D.[Dalwinderjeet]
Kulasekara, B.R.[Buddhika Rasanjana]
* 2022: Predicting Canopy Chlorophyll Content in Sugarcane Crops Using Machine Learning Algorithms and Spectral Vegetation Indices Derived from UAV Multispectral Imagery
Kulasekera, S.
* 2015: Discrete Tchebichef Transform Approximation for Image and Video Coding, A
* 2016: multiplierless pruned DCT-like transformation for image and video compression that requires ten additions only, A
* 2017: Low-Complexity Image and Video Coding Based on an Approximate Discrete Tchebichef Transform
Includes: Kulasekera, S. Kulasekera, S.[Sunera]
Kulasiri, D.
* 2008: Digital image analysis based automated kiwifruit counting technique
* 2009: Towards a generalized colour image segmentation for kiwifruit detection
Kulat, K.[Kishore]
* 2018: novel imputation methodology for time series based on pattern sequence forecasting, A
Kulat, K.D.
* 2017: Comparative analysis of video compression mechanisms using 3D-DWT based video encoding along with EZW
Kulathumani, V.[Vinod]
* 2017: Real-time drowsiness detection using wearable, lightweight brain sensing headbands
Kulathunga, G.[Geesara]
* 2022: 3D-SiamMask: Vision-Based Multi-Rotor Aerial-Vehicle Tracking for a Moving Object
* 2023: Survey on Motion Planning for Multirotor Aerial Vehicles in Plan-Based Control Paradigm
Kulatunga, U.
* 2018: Implementing GIS to Improve Hospital Efficiency in Natural Disasters
Kulawiak, M.[Marcin]
* 2019: Integration, Processing and Dissemination of LiDAR Data in a 3D Web-GIS
* 2019: Integration, Processing and Dissemination of LiDAR Data in a 3D Web-GIS
* 2020: Improving the Accuracy of Automatic Reconstruction of 3D Complex Buildings Models from Airborne Lidar Point Clouds
* 2022: Cost-Effective Method for Reconstructing City-Building 3D Models from Sparse Lidar Point Clouds, A
Includes: Kulawiak, M.[Marcin] Kulawiak, M.[Marek]
Kulawiec, A.W.[Andrew W.]
* 2002: Moire Interfermoter with overlapping illumination and imaging systems