Demo Data from EDBT 2026 / reviewers in the wild / expert
Ke-Xin Ren
dblp:359/4128
· DBLP profile ↗
2ranked-venue papers
0as first author
2since 2021 · last 2024
0009-0008-1006-7125ORCID · 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 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
2 papers |
Visual content generation and editing · 77% Geometric modeling and processing · 23% | |
| Human-computer interaction and pervasive computing
1 paper |
Interaction techniques and input · 100% |
Topics — the 4 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Visual content generation and editing › scene synthesis
interactive scene synthesis |
0.8 | 1 | 2024 | SceneDirector: Interactive Scene Synthesis by Simultaneously Editing Multiple Objects in Real-Time · IEEE Trans. Vis. Comput. Graph. 2024 |
Visual content generation and editing
scene synthesis |
0.8 | 1 | 2024 | SceneDirector: Interactive Scene Synthesis by Simultaneously Editing Multiple Objects in Real-Time · IEEE Trans. Vis. Comput. Graph. 2024 |
Visual content generation and editing
3d scene generation |
0.7 | 1 | 2023 | Automatic Generation of Commercial Scenes · ACM Multimedia 2023 |
Interaction techniques and input
direct manipulation |
0.2 | 1 | 2024 | SceneDirector: Interactive Scene Synthesis by Simultaneously Editing Multiple Objects in Real-Time · IEEE Trans. Vis. Comput. Graph. 2024 |
Methods — techniques the papers use, named apart from their topics
real-time group rearrangement · 1.5layout attributes · 1.5coherent group set · 1.5pattern multiplexing · 0.7constraint-based optimization · 0.7
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2024 | SceneDirector: Interactive Scene Synthesis by Simultaneously Editing Multiple Objects in Real-TimeabstractIntelligent tools for creating synthetic scenes have been developed significantly in recent years. Existing techniques on interactive scene synthesis only incorporate a single object at every interaction, i.e., crafting a scene through a sequence of single-object insertions with user preferences. These techniques suggest objects by considering existent objects in the scene instead of fully picturing the eventual result, which is inherently problematic since the sets of objects to be inserted are seldom fixed during interactive processes. In this article, we introduce SceneDirector, a novel interactive scene synthesis tool to help users quickly picture various potential synthesis results by simultaneously editing groups of objects. Specifically, groups of objects are rearranged in real-time with respect to a position of an object specified by a mouse cursor or gesture, i.e., a movement of a single object would trigger the rearrangement of the existing object group, the insertions of potentially appropriate objects, and the removal of redundant objects. To achieve this, we first propose an idea of coherent group set which expresses various concepts of layout strategies. Subsequently, we present layout attributes, where users can adjust how objects are arranged by tuning the weights of the attributes. Thus, our method gives users intuitive control of both how to arrange groups of objects and where to place them. Through extensive experiments and two applications, we demonstrate the potentiality of our framework and how it enables concurrently effective and efficient interactions of editing groups of objects. Shao-Kui Zhang, Hou Tam, Ke-Xin Ren, Hongbo Fu 0001, Song-Hai Zhang |
IEEE Trans. Vis. Comput. Graph. | 4 |
| 2023 | Automatic Generation of Commercial ScenesabstractCommercial scenes such as markets and shops are everyday scenes for both virtual scenes and real-world interior designs. However, existing literature on interior scene synthesis mainly focuses on formulating and optimizing residential scenes such as bedrooms, living rooms, etc. Existing literature typically presents a set of relations among objects. It recognizes each furniture object as the smallest unit while optimizing a residential room. However, object relations become less critical in commercial scenes since shelves are often placed next to each other so pre-calculated relations of objects are less needed. Instead, interior designers resort to evaluating how groups of objects perform in commercial scenes, i.e., the smallest unit to be evaluated is a group of objects. This paper presents a system automatically synthesizes market-like commercial scenes in virtual environments. Following the rules of commercial layout design, we parameterize groups of objects as "patterns" contributing to a scene. Each pattern directly yields a human-centric routine locally, provides potential connectivity with other routines, and derives the arrangements of objects concerning itself according to the assigned parameters. In order to optimize a scene, the patterns are iteratively multiplexed to insert new routines or modify existing ones under a set of constraints derived from commercial layout designs. Through extensive experiments, we demonstrate the ability of our framework to generate plausible and practical commercial scenes. Shao-Kui Zhang, Jia-Hong Liu, Tianyi Xiong, Ke-Xin Ren, Hongbo Fu 0001, Song-Hai Zhang |
ACM Multimedia | 5 |