research
∙
06/21/2023
Decoupled Boundary Handling in SPH
Particle-based boundary representations are frequently used in Smoothed ...
share
research
∙
04/28/2023
Differentiable Sensor Layouts for End-to-End Learning of Task-Specific Camera Parameters
The success of deep learning is frequently described as the ability to t...
research
∙
12/09/2022
Neural Volume Super-Resolution
Neural volumetric representations have become a widely adopted model for...
research
∙
06/09/2022
Glyph from Icon – Automated Generation of Metaphoric Glyphs
Metaphoric glyphs enhance the readability and learnability of abstract g...
research
∙
11/30/2021
Light Field Implicit Representation for Flexible Resolution Reconstruction
Inspired by the recent advances in implicitly representing signals with ...
research
∙
05/13/2020
Generative Models for Generic Light Field Reconstruction
Recently deep generative models have achieved impressive progress in mod...
research
∙
07/09/2019
Progressive Refinement Imaging
This paper presents a novel technique for progressive online integration...
research
∙
07/02/2019
Training Auto-encoder-based Optimizers for Terahertz Image Reconstruction
Terahertz (THz) sensing is a promising imaging technology for a wide var...
research
∙
06/18/2019
Integrated Visualization of Patient Data
The efficient and timely access to patient data is essential for success...
research
∙
05/09/2019
Designing technology, developing theory. Towards a symmetrical approach
We focus on collaborative activities that engage computer graphics desig...
research
∙
12/10/2018
Supervised Deep Kriging for Single-Image Super-Resolution
We propose a novel single-image super-resolution approach based on the g...
research
∙
11/06/2018
A `Little Bit' Too Much? High Speed Imaging from Sparse Photon Counts
Recent advances in photographic sensing technologies have made it possib...
research
∙
09/26/2018
Residuum-Condition Diagram and Reduction of Over-Complete Endmember-Sets
Extracting reference spectra, or endmembers (EMs) from a given multi- or...
research
∙
02/05/2016
Preoperative Volume Determination for Pituitary Adenoma
The most common sellar lesion is the pituitary adenoma, and sellar tumor...
research
∙
02/08/2013
User Interface for Volume Rendering in Virtual Reality Environments
Volume Rendering applications require sophisticated user interaction for...
research
∙
10/25/2011
Hand Tracking based on Hierarchical Clustering of Range Data
Fast and robust hand segmentation and tracking is an essential basis for...
research
∙
02/09/2011
A Comparison of Two Human Brain Tumor Segmentation Methods for MRI Data
The most common primary brain tumors are gliomas, evolving from the cere...
research
∙
02/03/2011
Glioblastoma Multiforme Segmentation in MRI Data with a Balloon Inflation Approach
Gliomas are the most common primary brain tumors, evolving from the cere...
research
∙
06/12/2009
