activity
20152023
most citedLearning to Think Outside the Box: Wide-Baseline Light Field Depth Estimation with EPI-Shift

43 citations · 116 across the 19 of their papers we have counts for

collaborators
Showing 2022Show all

5 papers · 1 filter

cs.CV2022★ 2 cited

Challenging the Universal Representation of Deep Models for 3D Point Cloud Registration

David Bojanić, Kristijan Bartol, Josep Forest +3

Learning universal representations across different applications domain is an open research problem. In fact, finding universal architecture within the same application but across…

cs.CV2022★ 1 cited

Enhancing Fairness of Visual Attribute Predictors

Tobias Hänel, Nishant Kumar, Dmitrij Schlesinger +4

The performance of deep neural networks for image recognition tasks such as predicting a smiling face is known to degrade with under-represented classes of sensitive attributes. We…

cs.GR2022

Parallel Compositing of Volumetric Depth Images for Interactive Visualization of Distributed Volumes at High Frame Rates

Aryaman Gupta, Pietro Incardona, Anton Brock +5

We present a parallel compositing algorithm for Volumetric Depth Images (VDIs) of large three-dimensional volume data. Large distributed volume data are routinely produced in both…

cs.GR2022★ 4 cited

Efficient Raycasting of Volumetric Depth Images for Remote Visualization of Large Volumes at High Frame Rates

Aryaman Gupta, Ulrik Günther, Pietro Incardona +4

We present an efficient raycasting algorithm for rendering Volumetric Depth Images (VDIs), and we show how it can be used in a remote visualization setting with VDIs generated and…

cs.FL2022★ 1 cited

Real-time Visualization of Stream-based Monitoring Data

Jan Baumeister, Bernd Finkbeiner, Stefan Gumhold +1

Stream-based runtime monitors are used in safety-critical applications such as Unmanned Aerial Systems (UAS) to compute comprehensive statistics and logical assessments of system h…