Demo Data from VLDB 2026 / reviewers in the wild / expert
Nhu-Binh Nguyen Truc
dblp:401/7106
· DBLP profile ↗
1ranked-venue papers
1as first author
1since 2021 · last 2025
0009-0007-3769-7955ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Graphics, 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.
| Computer graphics and multimedia
1 paper |
Visual content generation and editing · 100% | |
| Human-computer interaction and pervasive computing
1 paper |
Personal fabrication and tangible interfaces · 100% | |
| Artificial intelligence
1 paper |
Generative modeling · 100% | |
| Databases, data mining, and information retrieval
1 paper |
Information retrieval · 100% |
Topics — the 3 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Visual content generation and editing
sketch generation |
0.9 | 1 | 2025 | Advancing Fashion Design Through Intelligent Sketchpad Studio · ACM Multimedia 2025 |
Machine learning › Generative modeling › computational creativity › creative generation
generative AI for design |
0.3 | 1 | 2025 | Advancing Fashion Design Through Intelligent Sketchpad Studio · ACM Multimedia 2025 |
Information retrieval › image retrieval
sketch-based retrieval |
0.3 | 1 | 2025 | Advancing Fashion Design Through Intelligent Sketchpad Studio · ACM Multimedia 2025 |
Methods — techniques the papers use, named apart from their topics
text-to-sketch generation · 3.5large language model · 3.5context-aware recommendation · 3.5
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | Advancing Fashion Design Through Intelligent Sketchpad StudioabstractLine sketches serve as the visual DNA of fashion design, forming the essential foundation where concepts take shape, yet today's digital tools often lack the fluidity, personalization, and intelligence needed to truly support this creative process. We present FashSketch, an interactive, multimedia-driven system that reimagines fashion sketching through the lens of generative AI. Designed with a layer-based creative interface, FashSketch empowers designers to ideate, customize, and iterate on sketches seamlessly. By integrating state-of-the-art generative models, sketch-based retrieval, and large language models, the system supports advanced functionalities such as text-to-sketch generation and context-aware sketch recommendation. FashSketch not only enhances the sketching experience but also opens new multimodal pathways for creative expression, making it a powerful co-creative partner in the early stages of fashion design. Video demo is available at https://youtu.be/BX-Edz7Z7ZY. Nhu-Binh Nguyen Truc, Nhu-Vinh Hoang, Tam V. Nguyen 0002, Minh-Triet Tran, Trung-Nghia Le |
ACM Multimedia | 1 |