4 citations · 4 across the 5 of their papers we have counts for
5 papers
Metric-Guided Synthetic Image Data Rendering for Deep Learning compatible with Agentic AI
Martina Radoynova, Samuel Pantze, Trina De +2
Deep learning computer vision for scientific applications requires collecting and annotating large datasets in a laborious, expensive and error-prone process. Synthetic data genera…
SciFi-VIS: Way Out There -- How SciFi and Visualization Influence Each Other
Ulrik Günther, Julián Méndez, Gabriela Molina León +4
We propose a hybrid half-day workshop at IEEE VIS 2026, calling for participation from visualization researchers and science fiction creators in order to develop a systematic under…
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…
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…
A Proposed Framework for Interactive Virtual Reality In Situ Visualization of Parallel Numerical Simulations
Aryaman Gupta, Ulrik Günther, Pietro Incardona +4
As computer simulations progress to increasingly complex, non-linear, and three-dimensional systems and phenomena, intuitive and immediate visualization of their results is becomin…