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09/04/2023
Leveraging Self-Supervised Vision Transformers for Neural Transfer Function Design
In volume rendering, transfer functions are used to classify structures ...
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08/12/2023
Dealing with Small Annotated Datasets for Deep Learning in Medical Imaging: An Evaluation of Self-Supervised Pre-Training on CT Scans Comparing Contrastive and Masked Autoencod
Deep learning in medical imaging has the potential to minimize the risk ...
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04/27/2023
ClusterNet: A Perception-Based Clustering Model for Scattered Data
Cluster separation in scatterplots is a task that is typically tackled b...
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04/02/2023
LLMMaps – A Visual Metaphor for Stratified Evaluation of Large Language Models
Large Language Models (LLMs) have revolutionized natural language proces...
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11/15/2022
AutoTherm: A Dataset and Ablation Study for Thermal Comfort Prediction in Vehicles
State recognition in well-known and customizable environments such as ve...
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10/11/2022
Weakly-Supervised Optical Flow Estimation for Time-of-Flight
Indirect Time-of-Flight (iToF) cameras are a widespread type of 3D senso...
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06/27/2022
Monocular Depth Estimation for Semi-Transparent Volume Renderings
Neural networks have shown great success in extracting geometric informa...
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06/20/2022
Neural Activation Patterns (NAPs): Visual Explainability of Learned Concepts
A key to deciphering the inner workings of neural networks is understand...
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05/31/2022
Contrastive Representation Learning for 3D Protein Structures
Learning from 3D protein structures has gained wide interest in protein ...
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05/08/2022
Differentiable Electron Microscopy Simulation: Methods and Applications for Visualization
We propose a new microscopy simulation system that can depict atomistic ...
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03/29/2022
Clean Implicit 3D Structure from Noisy 2D STEM Images
Scanning Transmission Electron Microscopes (STEMs) acquire 2D images of ...
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02/18/2022
Gaussian Mixture Convolution Networks
This paper proposes a novel method for deep learning based on the analyt...
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01/17/2022
Visual Identification of Problematic Bias in Large Label Spaces
While the need for well-trained, fair ML systems is increasing ever more...
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12/07/2021
Variance-Aware Weight Initialization for Point Convolutional Neural Networks
Appropriate weight initialization has been of key importance to successf...
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11/30/2021
RADU: Ray-Aligned Depth Update Convolutions for ToF Data Denoising
Time-of-Flight (ToF) cameras are subject to high levels of noise and dis...
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07/23/2021
Human Pose Estimation from Sparse Inertial Measurements through Recurrent Graph Convolution
We propose the adjacency adaptive graph convolutional long-short term me...
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07/23/2021
Data-driven deep density estimation
Density estimation plays a crucial role in many data analysis tasks, as ...
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02/08/2021
Blue Noise Plots
We propose Blue Noise Plots, two-dimensional dot plots that depict data ...
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12/09/2020
exploRNN: Understanding Recurrent Neural Networks through Visual Exploration
Due to the success of deep learning and its growing job market, students...
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08/19/2020
Deep Volumetric Ambient Occlusion
We present a novel deep learning based technique for volumetric ambient ...
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07/13/2020
ProteiNN: Intrinsic-Extrinsic Convolution and Pooling for Scalable Deep Protein Analysis
Proteins perform a large variety of functions in living organisms, thus ...
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04/27/2020
An Environment for Sustainable Research Software in Germany and Beyond: Current State, Open Challenges, and Call for Action
Research software has become a central asset in academic research. It op...
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03/10/2020
Enabling Viewpoint Learning through Dynamic Label Generation
Optimal viewpoint prediction is an essential task in many computer graph...
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02/13/2020
Classifying the classifier: dissecting the weight space of neural networks
This paper presents an empirical study on the weights of neural networks...
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06/11/2019
Multi-Resolution Rendering for Computationally Expensive Lighting Effects
Many lighting methods used in computer graphics such as indirect illumin...
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04/16/2019
Total Denoising: Unsupervised Learning of 3D Point Cloud Cleaning
We show that denoising of 3D point clouds can be learned unsupervised, d...
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03/29/2019
Training Object Detectors on Synthetic Images Containing Reflecting Materials
One of the grand challenges of deep learning is the requirement to obtai...
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02/11/2019
Net2Vis: Transforming Deep Convolutional Networks into Publication-Ready Visualizations
To properly convey neural network architectures in publications, appropr...
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11/29/2018
Inviwo - A Visualization System with Usage Abstraction Levels
The complexity of today's visualization applications demands specific vi...
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11/12/2018
Deep-learning the Latent Space of Light Transport
We suggest a method to directly deep-learn light transport, i. e., the m...
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08/09/2018
Training De-Confusion: An Interactive, Network-Supported Visual Analysis System for Resolving Errors in Image Classification Training Data
Convolutional neural networks gain more and more popularity in image cla...
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06/20/2018
Void Space Surfaces to Convey Depth in Vessel Visualizations
To enhance depth perception and thus data comprehension, additional dept...
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06/05/2018
Monte Carlo Convolution for Learning on Non-Uniformly Sampled Point Clouds
We propose an efficient and effective method to learn convolutions for n...
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10/13/2017
Single-image Tomography: 3D Volumes from 2D X-Rays
As many different 3D volumes could produce the same 2D x-ray image, inve...
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06/18/2012