Demo Data from EDBT 2026 / reviewers in the wild / expert
Desai Fan
dblp:195/8163
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2017
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1Graphics, computer vision, multimedia, augmented reality and games · 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 |
Multimedia analysis and retrieval · 67% Image and video processing · 33% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Image and video processing › image reconstruction
event-based image reconstruction |
0.3 | 1 | 2017 | An Event Reconstruction Tool for Conflict Monitoring Using Social Media · AAAI 2017 |
Multimedia analysis and retrieval › object tracking
person tracking |
0.3 | 1 | 2017 | An Event Reconstruction Tool for Conflict Monitoring Using Social Media · AAAI 2017 |
Multimedia analysis and retrieval
video analysis |
0.3 | 1 | 2017 | An Event Reconstruction Tool for Conflict Monitoring Using Social Media · AAAI 2017 |
Methods — techniques the papers use, named apart from their topics
video synchronization · 0.3geolocalization · 0.33d reconstruction · 0.3
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2017 | An Event Reconstruction Tool for Conflict Monitoring Using Social MediaabstractWhat happened during the Boston Marathon in 2013? Nowadays, at any major event, lots of people take videos and share them on social media. To fully understand exactly what happened in these major events, researchers and analysts often have to examine thousands of these videos manually. To reduce this manual effort, we present an investigative system that automatically synchronizes these videos to a global timeline and localizes them on a map. In addition to alignment in time and space, our system combines various functions for analysis, including gunshot detection, crowd size estimation, 3D reconstruction and person tracking. To our best knowledge, this is the first time a unified framework has been built for comprehensive event reconstruction for social media videos. Junwei Liang 0001, Desai Fan, Po-Yao Huang 0001, Jia Chen 0001, Lu Jiang 0004, Alex Hauptmann 0001 |
AAAI | 2 |