Demo Data from EDBT 2026 / reviewers in the wild / expert
Vishnu Iyengar
dblp:305/7354
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2025
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1 · 1 since 2021Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 since 2021
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.
| Artificial intelligence
1 paper |
Video understanding and tracking · 50% Segmentation and scene understanding · 50% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Computer vision › Segmentation and scene understanding
panoptic segmentation |
0.9 | 1 | 2025 | One Trajectory, One Token: Grounded Video Tokenization Via Panoptic Sub-Object Trajectory · ICCV 2025 |
Computer vision › Video understanding and tracking › video representation learning
video tokenization |
0.9 | 1 | 2025 | One Trajectory, One Token: Grounded Video Tokenization Via Panoptic Sub-Object Trajectory · ICCV 2025 |
Methods — techniques the papers use, named apart from their topics
panoptic sub-object trajectory · 0.9
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | One Trajectory, One Token: Grounded Video Tokenization Via Panoptic Sub-Object Trajectory
Chenhao Zheng, Jieyu Zhang 0001, Mohammadreza Salehi, Vishnu Iyengar, Norimasa Kobori, Quan Kong, Ranjay Krishna |
ICCV | 5 |