Demo Data from EDBT 2026 / reviewers in the wild / expert
Sergio Garrido-Jurado
dblp:188/9671
· DBLP profile ↗
6ranked-venue papers
3as first author
0since 2021 · last 2018
0000-0001-6872-7458ORCID · verified
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 3 · 2 first-authorGraphics, computer vision, multimedia, augmented reality and games · 3 · 1 first-author
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Computer graphics and multimedia
1 paper |
Virtual and augmented reality · 75% Visual content generation and editing · 25% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Virtual and augmented reality › immersive interaction
collaborative virtual environments |
0.3 | 1 | 2018 | Oasis: Procedurally Generated Social Virtual Spaces from 3D Scanned Real Spaces · IEEE Trans. Vis. Comput. Graph. 2018 |
Visual content generation and editing
procedural content generation |
0.3 | 1 | 2018 | Oasis: Procedurally Generated Social Virtual Spaces from 3D Scanned Real Spaces · IEEE Trans. Vis. Comput. Graph. 2018 |
Virtual and augmented reality › virtual environment
virtual environment generation |
0.3 | 1 | 2018 | Oasis: Procedurally Generated Social Virtual Spaces from 3D Scanned Real Spaces · IEEE Trans. Vis. Comput. Graph. 2018 |
Virtual and augmented reality
virtual reality |
0.3 | 1 | 2018 | Oasis: Procedurally Generated Social Virtual Spaces from 3D Scanned Real Spaces · IEEE Trans. Vis. Comput. Graph. 2018 |
Methods — techniques the papers use, named apart from their topics
real walking · 0.3depth sensing · 0.33d scanning · 0.3
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2018 | Robust identification of fiducial markers in challenging conditions
Víctor Manuel Mondéjar-Guerra, Sergio Garrido-Jurado, Rafael Muñoz-Salinas, Manuel J. Marín-Jiménez, Rafael Medina Carnicer |
Expert Syst. Appl. | 2 |
| 2018 | Oasis: Procedurally Generated Social Virtual Spaces from 3D Scanned Real SpacesabstractWe present Oasis, a novel system for automatically generating immersive and interactive virtual reality environments for single and multiuser experiences. Oasis enables real-walking in the generated virtual environment by capturing indoor scenes in 3D and mapping walkable areas. It makes use of available depth information for recognizing objects in the real environment which are paired with virtual counterparts to leverage the physicality of the real world, for a more immersive virtual experience. Oasis allows co-located and remotely located users to interact seamlessly and walk naturally in a shared virtual environment. Experiencing virtual reality with currently available devices can be cumbersome due to presence of objects and furniture which need to be removed every time the user wishes to use VR. Our approach is new, in that it allows casual users to easily create virtual reality environments in any indoor space without rearranging furniture or requiring specialized equipment, skill or training. We demonstrate our approach to overlay a virtual environment over an existing physical space through fully working single and multiuser systems implemented on a Tango tablet device. Misha Sra, Sergio Garrido-Jurado, Pattie Maes |
IEEE Trans. Vis. Comput. Graph. | 2 |
| 2016 | Procedurally generated virtual reality from 3D reconstructed physical spaceabstractWe present a novel system for automatically generating immersive and interactive virtual reality (VR) environments using the real world as a template. The system captures indoor scenes in 3D, detects obstacles like furniture and walls, and maps walkable areas (WA) to enable real-walking in the generated virtual environment (VE). Depth data is additionally used for recognizing and tracking objects during the VR experience. The detected objects are paired with virtual counterparts to leverage the physicality of the real world for a tactile experience. Our approach is new, in that it allows a casual user to easily create virtual reality worlds in any indoor space of arbitrary size and shape without requiring specialized equipment or training. We demonstrate our approach through a fully working system implemented on the Google Project Tango tablet device. Misha Sra, Sergio Garrido-Jurado, Chris Schmandt |
VRST | 2 |
| 2016 | Simultaneous reconstruction and calibration for multi-view structured light scanning
Sergio Garrido-Jurado, Rafael Muñoz-Salinas, Francisco José Madrid-Cuevas, Manuel J. Marín-Jiménez |
J. Vis. Commun. Image Represent. | 1 |
| 2016 | Generation of fiducial marker dictionaries using Mixed Integer Linear Programming
Sergio Garrido-Jurado, Rafael Muñoz-Salinas, Francisco José Madrid-Cuevas, Rafael Medina Carnicer |
Pattern Recognit. | 1 |
| 2014 | Automatic generation and detection of highly reliable fiducial markers under occlusion
Sergio Garrido-Jurado, Rafael Muñoz-Salinas, Francisco José Madrid-Cuevas, Manuel J. Marín-Jiménez |
Pattern Recognit. | 1 |