Sjostrand, E.[Emmy]
* 2019: Color Normalization of Blood Cell Images
Includes: Sjostrand, E.[Emmy] Sjöstrand, E.[Emmy] (Maybe also Sjoestrand, E.)
Sjostrand, J.
* 2019: Learning to Personalize in Appearance-Based Gaze Tracking
Includes: Sjostrand, J. Sjöstrand, J. (Maybe also Sjoestrand, J.)
Sjostrand, K.[Karl]
* 2007: Robust Pseudo-hierarchical Support Vector Clustering
* 2007: Sparse Decomposition and Modeling of Anatomical Shape Variation
* 2007: Sparse Statistical Deformation Model for the Analysis of Craniofacial Malformations in the Crouzon Mouse
* 2010: On the regularization path of the support vector domain description
* 2011: Automated System for the Detection and Diagnosis of Kidney Lesions in Children from Scintigraphy Images, An
* 2011: Automatic Compartment Modelling and Segmentation for Dynamical Renal Scintigraphies
Includes: Sjostrand, K.[Karl] Sjöstrand, K.[Karl] (Maybe also Sjoestrand, K.)Sjostrand, K.
Sjostrom, A.[Arne]
* 2021: Acoustic Mapping of Submerged Stone Age Sites: A HALD Approach
Includes: Sjostrom, A.[Arne] Sjöström, A.[Arne] (Maybe also Sjoestroem, A.)
Sjostrom, M.
* 2006: Combined Pre-Processing and H.264-Compression Scheme for 3D Integral Images, A
* 2007: Depth Dependent Quality Metric for Evaluation of Coded Integral Imaging Based 3D-Images, A
* 2008: Region-of-Interest 3D Video Coding Based on Depth Images
* 2009: Multiview plus depth scalable coding in the depth domain
* 2011: Improved depth-image-based rendering algorithm
* 2011: Layer Assignment Based on Depth Data Distribution for Multiview-Plus-Depth Scalable Video Coding
* 2012: Edge-preserving depth-image-based rendering method
* 2012: Extraction of the lateral resolution in a plenoptic camera using the SPC model
* 2012: Incremental depth upscaling using an edge weighted optimization concept
* 2012: Sampling Pattern Cube: A Representation and Evaluation Tool for Optical Capturing Systems, The
* 2012: scalable coding approach for high quality depth image compression, A
* 2013: Depth Sensing for 3DTV: A Survey
* 2014: Depth-based inpainting for disocclusion filling
* 2014: Spatial resolution in a multi-focus plenoptic camera
* 2014: Time-of-flight sensor fusion with depth measurement reliability weighting
* 2014: Weighted Optimization Approach to Time-of-Flight Sensor Fusion, A
* 2015: Depth and angular resolution in plenoptic cameras
* 2016: Assessment of multi-camera calibration algorithms for two-dimensional camera arrays relative to ground truth position and direction
* 2016: Coding of Focused Plenoptic Contents by Displacement Intra Prediction
* 2016: Scalable Coding of Plenoptic Images by Using a Sparse Set and Disparities
* 2016: Virtual view synthesis using layered depth image generation and depth-based inpainting for filling disocclusions and translucent disocclusions
* 2017: Interpreting plenoptic images as multi-view sequences for improved compression
* 2017: Modeling depth uncertainty of desynchronized multi-camera systems
* 2018: Analysis of Demosaicing for Plenoptic Capture Based on Ray Optics, An
* 2018: Life: A Flexible Testbed for Light Field Evaluation
* 2018: Matching Light Field Datasets from Plenoptic Cameras 1.0 and 2.0
* 2018: Towards a Generic Compression Solution for Densely and Sparsely Sampled Light Field Data
* 2019: Depth-Assisted Demosaicing for Light Field Data in Layered Object Space
* 2020: Latency impact on Quality of Experience in a virtual reality simulator for remote control of machines
* 2020: Shearlet Transform-Based Light Field Compression Under Low Bitrates
* 2022: TV regularisation sparse light field reconstruction model based on guided-filtering, A
Includes: Sjostrom, M. Sjostrom, M.[Marten] Sjöström, M.[Mårten] (Maybe also Sjoestroem, M.)Sjöström, M. (Maybe also Sjoestroem, M.)
31 for Sjostrom, M.
Sjosund, L.L.
* 2020: SINet: Extreme Lightweight Portrait Segmentation Networks with Spatial Squeeze Modules and Information Blocking Decoder
Includes: Sjosund, L.L. Sjösund, L.L. (Maybe also Sjoesund, L.L.)