Vasa, L.[Libor]
* 2006: Spatio-temporal Metric for Dynamic Mesh Comparison, A
* 2007: CODDYAC: Connectivity Driven Dynamic Mesh Compression
* 2008: Compression of 3D Meshes: Applications, Approaches, Standards
* 2010: Analysing the Influence of Vertex Clustering on PCA-Based Dynamic Mesh Compression
* 2010: Finding Optimal Parameter Configuration for a Dynamic Triangle Mesh Compressor
* 2018: Estimation of differential quantities using Hermite RBF interpolation
* 2022: Broad-to-Narrow Registration and Identification of 3D Objects in Partially Scanned and Cluttered Point Clouds
Includes: Vasa, L.[Libor] Váša, L.[Libor] Váša, L. Vása, L.[Libor]
7 for Vasa, L.
Vasak, M.
* 2019: Hierarchical Model Predictive Control for Coordinated Electric Railway Traction System Energy Management
* 2022: Energy-Efficient Model Predictive Train Traction Control With Incorporated Traction System Efficiency
* 2023: Aggregated Representation of Electric Vehicles Population on Charging Points for Demand Response Scheduling
Includes: Vasak, M. Vašak, M. Vašak, M.[Mario]
Vasamsetti, S.[Srikanth]
* 2018: Automatic underwater moving object detection using multi-feature integration framework in complex backgrounds
Vasanawala, S.
* 2012: Fast L_1-SPIRiT Compressed Sensing Parallel Imaging MRI: Scalable Parallel Implementation and Clinically Feasible Runtime
* 2016: Depletion-Mode GaN HEMT Q-Spoil Switches for MRI Coils
* 2021: K-space refinement in deep learning MR reconstruction via regularizing scan specific SPIRiT-based self consistency
* 2021: Uncertainty Quantification in Deep MRI Reconstruction
* 2022: Learned Compression of High Dimensional Image Datasets
* 2022: Semi-Blind Calibration and Compensation Method for Dynamic Range Recovery of Low-Power Pre-Amplifiers in MRI Receive Chains, A
Includes: Vasanawala, S. Vasanawala, S.[Shreyas]
Vasanawala, S.S.
* 2017: Body Diffusion Weighted Imaging Using Non-CPMG Fast Spin Echo
* 2018: Robust Self-Calibrating nCPMG Acquisition: Application to Body Diffusion-Weighted Imaging
* 2019: Deep Generative Adversarial Neural Networks for Compressive Sensing MRI
* 2020: Compressed Sensing: From Research to Clinical Practice With Deep Neural Networks: Shortening Scan Times for Magnetic Resonance Imaging
* 2021: Fast Unsupervised MRI Reconstruction Without Fully-Sampled Ground Truth Data Using Generative Adversarial Networks
* 2021: Wasserstein GANs for MR Imaging: From Paired to Unpaired Training
* 2023: SLfRank: Shinnar-Le-Roux Pulse Design With Reduced Energy and Accurate Phase Profiles Using Rank Factorization
Includes: Vasanawala, S.S. Vasanawala, S.S.[Shreyas S.]
7 for Vasanawala, S.S.
Vasant, P.
* 2017: Quantum particle swarm optimization for multiobjective combined economic emission dispatch problem using cubic criterion function
Vasanth, G.
* 2016: Elimination of grey level distortion using multiscale gradient multiplication
Vasanth, K.
* 2013: Removal of high density salt and pepper noise using neighborhood based switching filter
* 2015: Decision-based neighborhood-referred unsymmetrical trimmed variants filter for the removal of high-density salt-and-pepper noise in images and videos
Vasantha Kumar, S.
* 2018: Extraction of Built-up Area Using High Resolution Sentinel-2a And Google Satellite Imagery
Vasanthanayaki, C.
* 2005: Optimal Morphological Shape Decomposition Scheme
* 2013: Image coding using lapped biorthogonal transform
Vasantharaj, A.
* 2023: Automated Brain Imaging Diagnosis and Classification Model using Rat Swarm Optimization with Deep Learning based Capsule Network
Vasantharaju, N.
* 2023: CAESAR Project for the ASI Space Weather Infrastructure, The
Vasardani, M.[Maria]
* 2017: Identifying Witness Accounts from Social Media Using Imagery
* 2018: Graph Database Model for Knowledge Extracted from Place Descriptions, A
* 2019: Clustering-based disambiguation of fine-grained place names from descriptions
* 2019: Infrastructure-Independent Indoor Localization and Navigation
* 2019: Negotiation Between Vehicles and Pedestrians for the Right of Way at Intersections
Includes: Vasardani, M.[Maria] Vasardani, M.
Vasari, D.[Daniela]
* 2018: Testing an innovative predictive management system for bus fleets: outcomes from the Ravenna case study
Vasat, R.[Radim]
* 2016: Memory-Based Learning Approach as Compared to Other Data Mining Algorithms for the Prediction of Soil Texture Using Diffuse Reflectance Spectra, A
* 2021: Exploring the Suitability of UAS-Based Multispectral Images for Estimating Soil Organic Carbon: Comparison with Proximal Soil Sensing and Spaceborne Imagery
Includes: Vasat, R.[Radim] Vašát, R.[Radim]