Demo Data from SIGIR 2026 / reviewers in the wild / expert
Benjamin Lahner
dblp:241/6166
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2024
—ORCID · unresolved
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 |
3D vision · 100% | |
| Interdisciplinary, comprehensive, and emerging computing
1 paper |
Medical and health informatics · 100% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Computer vision › 3D vision › brain decoding
video reconstruction from brain signals |
0.8 | 1 | 2024 | Brain Netflix: Scaling Data to Reconstruct Videos from Brain Signals · ECCV (26) 2024 |
Medical and health informatics
brain-computer interface |
0.2 | 1 | 2024 | Brain Netflix: Scaling Data to Reconstruct Videos from Brain Signals · ECCV (26) 2024 |
Methods — techniques the papers use, named apart from their topics
deep learning · 1.5brain signal decoding · 1.5
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2024 | Brain Netflix: Scaling Data to Reconstruct Videos from Brain Signals
Camilo Fosco, Benjamin Lahner, Bowen Pan, Alex Andonian, Emilie Josephs, Alex Lascelles, Aude Oliva |
ECCV (26) | 2 |