Demo Data from EDBT 2026 / reviewers in the wild / expert
Delong Wu
dblp:30/7722
· DBLP profile ↗
3ranked-venue papers
1as first author
3since 2021 · last 2025
0009-0002-8416-4995ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 3 · 1 first-author · 3 since 2021Graphics, computer vision, multimedia, augmented reality and games · 2 · 1 first-author · 2 since 2021Systems, architecture and hardware · 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.
| Computer graphics and multimedia
2 papers |
Rendering · 26% Image and video processing · 26% Geometric modeling and processing · 26% | |
| Artificial intelligence
1 paper |
3D vision · 100% |
Topics — the 5 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Geometric modeling and processing
3d scene representation |
0.9 | 1 | 2025 | WIPES: Wavelet-based Visual Primitives · ICCV 2025 |
Rendering
neural rendering |
0.9 | 1 | 2025 | WIPES: Wavelet-based Visual Primitives · ICCV 2025 |
Image and video processing › wavelet transform
wavelet representation |
0.9 | 1 | 2025 | WIPES: Wavelet-based Visual Primitives · ICCV 2025 |
Visual content generation and editing › image editing › image compositing
image blending |
0.8 | 1 | 2024 | Neural Poisson Solver: A Universal and Continuous Framework for Natural Signal Blending · ECCV (80) 2024 |
Computer vision › 3D vision
implicit neural representation |
0.2 | 1 | 2024 | Neural Poisson Solver: A Universal and Continuous Framework for Natural Signal Blending · ECCV (80) 2024 |
Methods — techniques the papers use, named apart from their topics
poisson solver · 1.5neural network · 1.5wavelet transform · 0.9differentiable rasterization · 0.9
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | WIPES: Wavelet-based Visual PrimitivesabstractPursuing a continuous visual representation that offers flexible frequency modulation and fast rendering speed has recently garnered increasing attention in the fields of 3D vision and graphics. However, existing representations often rely on frequency guidance or complex neural network decoding, leading to spectrum loss or slow rendering. To address these limitations, we propose WIPES, a universal Wavelet-based vIsual PrimitivES for representing multi-dimensional visual signals. Building on the spatial-frequency localization advantages of wavelets, WIPES effectively captures both the low-frequency "forest" and the high-frequency "trees." Additionally, we develop a wavelet-based differentiable rasterizer to achieve fast visual rendering. Experimental results on various visual tasks, including 2D image representation, 5D static and 6D dynamic novel view synthesis, demonstrate that WIPES, as a visual primitive, offers higher rendering quality and faster inference than INR-based methods, and outperforms Gaussian-based representations in rendering quality. Hao Zhu 0004, Delong Wu, Linchao Bao, Xun Cao, Zhan Ma 0001 |
ICCV | 3 |
| 2024 | Neural Poisson Solver: A Universal and Continuous Framework for Natural Signal Blending
Delong Wu, Hao Zhu 0005, Qi Zhang 0029, Zhan Ma 0001, Xun Cao |
ECCV (80) | 1 |
| 2022 | Design and Analysis of Truss Aerial Transportation System (TATS): The Lightweight Bar Spherical Joint MechanismabstractIn aerial cooperative transportation missions, it has been recognized that for small-sized but heavy payloads, the cable-suspended framework is a preferred manner. However, to maintain proper safe flight distances, cables always stay inclined, which implies that horizontal force components have to be generated by UAVs, and only partial thrust forces are used for gravity compensation. To overcome this drawback, in this paper, a new cooperative transportation system named Truss Aerial Transportation System (TATS) is proposed, where those horizontal forces can be internally compensated by the bar spherical joint structure. In the TATS, rigid bars can powerfully sustain the desired distances among UAVs for safe flight, resulting in a more compact and effective transportation system. Thanks to the structural advantage of the truss, the rigid bars can be made lightweight so as to minimize their induced gravity burden. The construction method of the proposed TATS is presented. The improvement in energy efficiency is analyzed and compared with the cable-suspended framework. Furthermore, the robustness property of a TATS configuration is evaluated by computing the margin capacity. Finally, a load test experiment is conducted on our made prototype, the results of which show the effectiveness and feasibility of the proposed TATS. Qingkai Yang, Delong Wu, Shaozhun Wei, Jinqiang Cui, Hao Fang 0001 |
IROS | 4 |