Laude, A.[Augustinus]
* 2015: low-dimensional step pattern analysis algorithm with application to multimodal retinal image registration, A
Laude, E.[Emanuel]
* 2016: Sublabel-Accurate Convex Relaxation of Vectorial Multilabel Energies
* 2016: Sublabel-Accurate Relaxation of Nonconvex Energies
* 2018: Discrete-Continuous ADMM for Transductive Inference in Higher-Order MRFs
* 2020: Distributed Photometric Bundle Adjustment
* 2021: Bregman Proximal Gradient Algorithms for Deep Matrix Factorization
* 2022: Lifting the Convex Conjugate in Lagrangian Relaxations: A Tractable Approach for Continuous Markov Random Fields
Includes: Laude, E.[Emanuel] Laude, E.
Laude, T.[Thorsten]
* 2014: Scalable extension of HEVC using enhanced inter-layer prediction
* 2015: Copy mode for static screen content coding with HEVC
* 2017: Extending HEVC using texture synthesis
Includes: Laude, T.[Thorsten] Laude, T.
Laude, V.
* 1997: Bayesian Target Location in Images
Laudicella, R.[Riccardo]
* 2022: Unsupervised Brain Segmentation System Using K-Means and Neural Network