Vaiter, S.[Samuel]
* 2012: Unbiased risk estimation for sparse analysis regularization
* 2014: Stein Unbiased GrAdient estimator of the Risk (SUGAR) for Multiple Parameter Selection
* 2015: On Debiasing Restoration Algorithms: Applications to Total-Variation and Nonlocal-Means
* 2017: Accelerated Alternating Descent Methods for Dykstra-Like Problems
* 2017: CLEAR: Covariant LEAst-Square Refitting with Applications to Image Restoration
* 2019: Refitting Solutions Promoted by L12 Sparse Analysis Regularizations with Block Penalties
* 2023: Supervised Learning of Analysis-Sparsity Priors With Automatic Differentiation
7 for Vaiter, S.
Vaithiyanathan, V.
* 2016: Elimination of grey level distortion using multiscale gradient multiplication
* 2017: Multi-frame super-resolution using adaptive normalized convolution
Vaitis, M.[Michail]
* 2023: KG-Based Integrated UAV Approach for Engineering Semantic Trajectories in the Cultural Heritage Documentation Domain, A
Vaitkevicius, H.[Henrikas]
* 2012: Systematic violations of von Kries rule reveal its limitations for explaining color and lightness constancy