Andreas Kolb
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View article: Resolution-adjusted boundary particles for adaptive SPH
Resolution-adjusted boundary particles for adaptive SPH Open
In this paper, we present a new approach for improving particle-based boundary handling in adaptive Smoothed Particle Hydrodynamics (SPH) fluid simulations. Traditional SPH methods often struggle to maintain accurate boundary conditions wh…
View article: Neural Atlas Graphs for Dynamic Scene Decomposition and Editing
Neural Atlas Graphs for Dynamic Scene Decomposition and Editing Open
Learning editable high-resolution scene representations for dynamic scenes is an open problem with applications across the domains from autonomous driving to creative editing - the most successful approaches today make a trade-off between …
View article: Tomato Multi-Angle Multi-Pose Dataset for Fine-Grained Phenotyping
Tomato Multi-Angle Multi-Pose Dataset for Fine-Grained Phenotyping Open
Observer bias and inconsistencies in traditional plant phenotyping methods limit the accuracy and reproducibility of fine-grained plant analysis. To overcome these challenges, we developed TomatoMAP, a comprehensive dataset for Solanum lyc…
View article: Novel instruments for flood risk mitigation in small, fast reacting watersheds by means of sensor integration, advanced computing and socio-technical translation
Novel instruments for flood risk mitigation in small, fast reacting watersheds by means of sensor integration, advanced computing and socio-technical translation Open
Increasingly frequent extreme hydro-meteorological events, attributable among others to non-stationary climate, can lead to devastating flooding and cause large costs to affected societies. A recent and prominently featured example include…
View article: Lipschitz-agnostic, efficient and accurate rendering of implicit surfaces
Lipschitz-agnostic, efficient and accurate rendering of implicit surfaces Open
In this paper, we propose an accurate and controllable rendering process for implicit surfaces with no or unknown analytic Lipschitz constants. Our process is built upon a ray-casting approach where we construct an adaptive Chebyshev proxy…
View article: Decoupled Boundary Handling in SPH
Decoupled Boundary Handling in SPH Open
Particle-based boundary representations are frequently used in smoothed particle hydrodynamics (SPH) due to their simple integration into fluid solvers. Commonly, incompressible fluid solvers estimate the current density and corresponding …
View article: Pacemod: parametric contour-based modifications for glyph generation
Pacemod: parametric contour-based modifications for glyph generation Open
Metaphoric glyphs are intuitively related to the underlying problem domain and enhance the readability and learnability of the resulting visualization. Their construction, however, implies an appropriate modification of the base icon, whic…
View article: Decoupled Boundary Handling in SPH
Decoupled Boundary Handling in SPH Open
Particle-based boundary representations are frequently used in Smoothed Particle Hydrodynamics (SPH) due to their simple integration into fluid solvers. Commonly, incompressible fluid solvers estimate the current density and corresponding …
View article: Hashed, binned A-buffer for real-time outlier removal and rendering of noisy point clouds
Hashed, binned A-buffer for real-time outlier removal and rendering of noisy point clouds Open
Typical point-based rendering algorithms cannot directly handle large outliers or high amounts of noise without either a costly pre-processing of the point cloud or using multiple render passes. In this paper, we propose an A-buffer-based …
View article: Differentiable Sensor Layouts for End-to-End Learning of Task-Specific Camera Parameters
Differentiable Sensor Layouts for End-to-End Learning of Task-Specific Camera Parameters Open
The success of deep learning is frequently described as the ability to train all parameters of a network on a specific application in an end-to-end fashion. Yet, several design choices on the camera level, including the pixel layout of the…
View article: Anatomically Integrated In-Place Visualization of Patient Data for Cooperative Tasks with a Case Study on a Neurosurgical Ward
Anatomically Integrated In-Place Visualization of Patient Data for Cooperative Tasks with a Case Study on a Neurosurgical Ward Open
The workflow in modern hospitals entails that the medical treatment of a patient is distributed between several physicians and nurses. This leads to intensive cooperation, which takes place under particular time pressure and requires effic…
View article: Evaluation of particle‐based smoothed particle hydrodynamics boundary handling approaches in computer animation
Evaluation of particle‐based smoothed particle hydrodynamics boundary handling approaches in computer animation Open
Boundary handling is an important aspect of fluid simulation, and several boundary handling approaches exist in smoothed particle hydrodynamics (SPH), which have individual strengths and weaknesses. However, comparing different boundary ha…
View article: Neural Volume Super-Resolution
Neural Volume Super-Resolution Open
Neural volumetric representations have become a widely adopted model for radiance fields in 3D scenes. These representations are fully implicit or hybrid function approximators of the instantaneous volumetric radiance in a scene, which are…
View article: Perception and Quantization Model for Periodic Contour Modifications
Perception and Quantization Model for Periodic Contour Modifications Open
Periodic, wave-like modifications of 2D shape contours are often applied to convey quantitative data via images. However, to the best of our knowledge, there has been no in-depth investigation of the perceptual uniformity and legibility of…
View article: Glyph from Icon -- Automated Generation of Metaphoric Glyphs
Glyph from Icon -- Automated Generation of Metaphoric Glyphs Open
Metaphoric glyphs enhance the readability and learnability of abstract glyphs used for the visualization of quantitative multidimensional data by building upon graphical entities that are intuitively related to the underlying problem domai…
View article: A Generic Framework for Depth Reconstruction Enhancement
A Generic Framework for Depth Reconstruction Enhancement Open
We propose a generic depth-refinement scheme based on GeoNet, a recent deep-learning approach for predicting depth and normals from a single color image, and extend it to be applied to any depth reconstruction task such as super resolution…
View article: Deep Neural Network as an Optimizer for FMCW THz Image Deblurring
Deep Neural Network as an Optimizer for FMCW THz Image Deblurring Open
A stable estimation of the THz model parameters for low SNR configurations is essential to achieve acquisition times required for applications in, e.g., quality control. The deep optimization prior approach was introduced with application …
View article: Light Field Implicit Representation for Flexible Resolution Reconstruction
Light Field Implicit Representation for Flexible Resolution Reconstruction Open
Inspired by the recent advances in implicitly representing signals with trained neural networks, we aim to learn a continuous representation for narrow-baseline 4D light fields. We propose an implicit representation model for 4D light fiel…
View article: A Generative Model for Generic Light Field Reconstruction
A Generative Model for Generic Light Field Reconstruction Open
Recently deep generative models have achieved impressive progress in modeling the distribution of training data. In this work, we present for the first time a generative model for 4D light field patches using variational autoencoders to ca…
View article: Multi‐Level Memory Structures for Simulating and Rendering Smoothed Particle Hydrodynamics
Multi‐Level Memory Structures for Simulating and Rendering Smoothed Particle Hydrodynamics Open
In this paper, we present a novel hash map‐based sparse data structure for Smoothed Particle Hydrodynamics, which allows for efficient neighbourhood queries in spatially adaptive simulations as well as direct ray tracing of fluid surfaces.…
View article: Designing Technology, Developing Theory: Toward a Symmetrical Approach
Designing Technology, Developing Theory: Toward a Symmetrical Approach Open
We focus on collaborative activities that engage computer graphics designers and social scientists in systems design processes. Our conceptual symmetrical account of technology design and theory development is elaborated as a mode of mutua…
View article: Integrated Visualization of Patient Data.
Integrated Visualization of Patient Data. Open
The efficient and timely access to patient data is essential for successful patient treatment in clinical wards. Even though, most of the patient data is stored electronically, e.g. in the electronic health record (EHR), relevant patient i…
View article: On-Body Visualization of Patient Data for Cooperative Tasks
On-Body Visualization of Patient Data for Cooperative Tasks Open
Electronic health records (EHR) systematically represent patient data in digital form. However, text and visualization based EHR systems are poorly integrated in the hospital workflow due to their complex and rather non-intuitive access st…
View article: Designing technology, developing theory. Towards a symmetrical approach
Designing technology, developing theory. Towards a symmetrical approach Open
We focus on collaborative activities that engage computer graphics designers and social scientists in systems design processes. Our conceptual symmetrical account of technology design and theory development is elaborated as a mode of mutua…
View article: A Bit Too Much? High Speed Imaging from Sparse Photon Counts
A Bit Too Much? High Speed Imaging from Sparse Photon Counts Open
Recent advances in photographic sensing technologies have made it possible to achieve light detection in terms of a single photon. Photon counting sensors are being increasingly used in many diverse applications. We address the problem of …
View article: Multi-Level-Memory Structures for Adaptive SPH Simulations
Multi-Level-Memory Structures for Adaptive SPH Simulations Open
In this paper we introduce a novel hash map-based sparse data structure for highly adaptive Smoothed Particle Hydrodynamics (SPH) simulations on GPUs. Our multi-level-memory structure is based on stacking multiple independent data structur…
View article: A Lightweight Approach to 3D Measurement of Chronic Wounds
A Lightweight Approach to 3D Measurement of Chronic Wounds Open
This paper presents a light-weight process for 3D reconstruction and measurement of chronic wounds using a commonly available smartphone as an image capturing device. The first stage of our measurement pipeline comprises the creation of a …