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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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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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08/19/2020
Deep Volumetric Ambient Occlusion
We present a novel deep learning based technique for volumetric ambient ...
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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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11/12/2018
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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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
