Demo Data from SIGIR 2026 / reviewers in the wild / expert
Wooseok Seo
dblp:289/3961
· 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 |
Generative modeling · 70% Efficient and distributed learning · 30% |
Topics — the 5 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Machine learning › Generative modeling
diffusion model |
0.9 | 1 | 2025 | V.I.P.: Iterative Online Preference Distillation for Efficient Video Diffusion Models · ICCV 2025 |
Machine learning › Efficient and distributed learning › distillation
preference distillation |
0.9 | 1 | 2025 | V.I.P.: Iterative Online Preference Distillation for Efficient Video Diffusion Models · ICCV 2025 |
Machine learning › Generative modeling › diffusion model
video diffusion model |
0.9 | 1 | 2025 | V.I.P.: Iterative Online Preference Distillation for Efficient Video Diffusion Models · ICCV 2025 |
Machine learning › Generative modeling
video generation |
0.9 | 1 | 2025 | V.I.P.: Iterative Online Preference Distillation for Efficient Video Diffusion Models · ICCV 2025 |
Machine learning › Efficient and distributed learning
model compression |
0.3 | 1 | 2025 | V.I.P.: Iterative Online Preference Distillation for Efficient Video Diffusion Models · ICCV 2025 |
Methods — techniques the papers use, named apart from their topics
online preference distillation · 0.9iterative distillation · 0.9
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | V.I.P.: Iterative Online Preference Distillation for Efficient Video Diffusion Models
Wooseok Seo, Junwan Kim, Seungho Park, Sooyeon Park, Youngjae Yu |
ICCV | 2 |