Demo Data from VLDB 2026 / reviewers in the wild / expert
Mod Marathe
dblp:39/6280
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2012
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Graphics, computer vision, multimedia, augmented reality and games · 1Human-computer interaction and ubiquitous computing · 1
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 · 100% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Virtual and augmented reality
telepresence |
0.1 | 1 | 2012 | Room-sized informal telepresence system · VR 2012 |
Virtual and augmented reality › immersive display
panoramic display |
0.0 | 1 | 2012 | Room-sized informal telepresence system · VR 2012 |
Methods — techniques the papers use, named apart from their topics
image synthesis · 0.1depth camera segmentation · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2012 | Room-sized informal telepresence systemabstractWe present a room-sized telepresence system for informal gatherings rather than conventional meetings. Unlike conventional systems which constrain participants to sit in fixed positions, our system aims to facilitate casual conversations between people in two sites. The system consists of a wall of large flat displays at each of the two sites, showing a panorama of the remote scene, constructed from a multiplicity of color and depth cameras. The main contribution of this paper is a solution that ameliorates the eye contact problem during conversation in typical scenarios while still maintaining a consistent view of the entire room for all participants. We achieve this by using two sets of cameras - a cluster of ”Panorama Cameras” located at the center of the display wall and are used to capture a panoramic view of the entire room, and a set of ”Personal Cameras” distributed along the display wall to capture front views of nearby participants. A robust segmentation algorithm with the assistance of depth cameras and an image synthesis algorithm work together to generate a consistent view of the entire scene. In our experience this new approach generates fewer distracting artifacts than conventional 3D reconstruction methods, while effectively correcting for eye gaze. Mingsong Dou, Jan-Michael Frahm, Henry Fuchs, Bill Mauchly, Mod Marathe |
VR | 6 |