Demo Data from VLDB 2026 / reviewers in the wild / expert
Minxu Peng
dblp:294/8682
· DBLP profile ↗
2ranked-venue papers
0as first author
2since 2021 · last 2025
0000-0003-1041-8278ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Graphics, computer vision, multimedia, augmented reality and games · 2 · 2 since 2021Artificial intelligence and machine learning · 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 · 87% Language models and text generation · 13% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Machine learning › Generative modeling › image generation
conditional image generation |
0.9 | 1 | 2025 | Text2Outfit: Controllable Outfit Generation With Multimodal Language Models · ICCV 2025 |
Machine learning › Generative modeling › image generation
outfit generation |
0.9 | 1 | 2025 | Text2Outfit: Controllable Outfit Generation With Multimodal Language Models · ICCV 2025 |
Natural language and speech › Language models and text generation
multimodal language model |
0.3 | 1 | 2025 | Text2Outfit: Controllable Outfit Generation With Multimodal Language Models · ICCV 2025 |
Methods — techniques the papers use, named apart from their topics
multimodal language model · 0.9
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | Text2Outfit: Controllable Outfit Generation With Multimodal Language Models
Yuanhao Zhai 0001, Yen-Liang Lin, Minxu Peng, Larry Davis 0001, Ashwin Chandramouli, Junsong Yuan 0001, David S. Doermann |
ICCV | 3 |
| 2021 | Robustness of Time-Resolved Measurement to Unknown and Variable Beam Current in Particle Beam MicroscopyabstractVariations in the intensity of the incident beam can cause significant inaccuracies in microscopes that use focused beams of electrons or ions. Existing mitigation methods depend on the artifacts having characteristic spatial structures explained by the raster scan pattern and temporal correlation of the beam current variations. We show that recently introduced time-resolved measurement methods create robustness to beam current variations that improve significantly upon existing methods while not depending on separability of artifact structure from underlying image content. These advantages are illustrated through Monte Carlo simulations representative of both helium ion microscopy (higher secondary electron yield) and scanning electron microscopy (lower secondary electron yield). Notably, this demonstrates that when the beam current variation is appreciable, time-resolved measurements provide a novel benefit in particle beam microscopy that extends to low secondary electron yields. Luisa Watkins, Sheila W. Seidel, Minxu Peng, Akshay Agarwal 0003, Christopher C. Yu, Vivek K. Goyal |
ICIP | 3 |