Demo Data from EDBT 2026 / reviewers in the wild / expert
Ofir Shifman
dblp:320/3456
· DBLP profile ↗
1ranked-venue papers
1as first author
1since 2021 · last 2024
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1 · 1 first-author · 1 since 2021Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 first-author · 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 |
Trustworthy machine learning · 50% Image recognition and object detection · 50% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Computer vision › Image recognition and object detection
image classification |
0.8 | 1 | 2024 | Lost in Translation: Modern Neural Networks Still Struggle with Small Realistic Image Transformations · ECCV (69) 2024 |
Machine learning › Trustworthy machine learning › robustness › input transformation robustness
robustness to image transformations |
0.8 | 1 | 2024 | Lost in Translation: Modern Neural Networks Still Struggle with Small Realistic Image Transformations · ECCV (69) 2024 |
Methods — techniques the papers use, named apart from their topics
neural network evaluation · 0.8
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2024 | Lost in Translation: Modern Neural Networks Still Struggle with Small Realistic Image Transformations
Ofir Shifman, Yair Weiss |
ECCV (69) | 1 |