Vlasenko, A.[Andrey]
* 2008: Physically Consistent Variational Denoising of Image Fluid Flow Estimates
* 2009: Superresolution and Denoising of 3D Fluid Flow Estimates
* 2010: Physically Consistent and Efficient Variational Denoising of Image Fluid Flow Estimates
Vlasenko, B.
* 2010: Cross-Corpus Acoustic Emotion Recognition: Variances and Strategies
Vlasenko, I.
* 2015: Smart-Condo: Optimizing Sensor Placement for Indoor Localization, The
Vlasic, D.
* 2018: Unsupervised Training for 3D Morphable Model Regression
* 2019: Learning Shape Templates With Structured Implicit Functions
* 2021: AutoFlow: Learning a Better Training Set for Optical Flow
* 2021: Differentiable Surface Rendering via Non-Differentiable Sampling
* 2022: Identifying Document Images with Glare Using Global and Localized Feature Fusion
Includes: Vlasic, D. Vlasic, D.[Daniel]
Vlasic, T.[Tin]
* 2020: Spline-like Chebyshev polynomial model for compressive imaging
* 2022: Single-pixel compressive imaging in shift-invariant spaces via exact wavelet frames
Includes: Vlasic, T.[Tin] Vlašic, T.[Tin]
Vlaski, S.
* 2019: Regularization Framework for Learning Over Multitask Graphs, A
* 2020: Tracking Performance of Online Stochastic Learners
Includes: Vlaski, S. Vlaski, S.[Stefan]
Vlasopoulos, O.
* 2020: 3d Reconstruction and Mesh Optimization of Underwater Spaces For Virtual Reality
Vlasov, V.V.[Vitaly V.]
* 2015: Few-Views Image Reconstruction with SMART and an Allowance for Contrast Structure Shadows
Vlasselaer, J.
* 2017: BEHAVE: Behavioral Analysis of Visual Events for Assisted Living Scenarios
Vlassenbroeck, J.
* 2010: Multiresolution Approach to Iterative Reconstruction Algorithms in X-Ray Computed Tomography, A
Vlassis, G.[Georgios]
* 2023: CLIP-Guided Vision-Language Pre-training for Question Answering in 3D Scenes
Vlassis, N.
* 2001: probabilistic model for appearance-based robot localization, A
* 2002: k-segments algorithm for finding principal curves, A
* 2003: global k-means clustering algorithm, The
* 2006: Gaussian fields for semi-supervised regression and correspondence learning
Includes: Vlassis, N. Vlassis, N.[Nikos]
Vlassis, S.
* 2000: Analog implementation of erosion/dilation, median and order statistics filters
* 2001: Floating Gate CMOS Euclidean Distance Calculator and Its Application to Hand-written Digit Recognition, A
Vlassopoulos, N.
* 2008: real-time H.264/AVC VLSI encoder architecture, A
* 2008: real-time motion estimation FPGA architecture, A
Includes: Vlassopoulos, N. Vlassopoulos, N.[Nikolaos]
Vlassopoulos, V.
* 1990: Adaptive Polygonization of Parametric Surfaces
Vlassov, V.[Vladimir]
* 2022: Scalable Artificial Intelligence for Earth Observation Data Using Hopsworks
Vlassova, L.[Lidia]
* 2014: Analysis of the Relationship between Land Surface Temperature and Wildfire Severity in a Series of Landsat Images
* 2014: Assessment of Methods for Land Surface Temperature Retrieval from Landsat-5 TM Images Applicable to Multiscale Tree-Grass Ecosystem Modeling
Vlastelica, M.
* 2020: Optimizing Rank-Based Metrics With Blackbox Differentiation