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Hyejung Hur

dblp:63/6573 · DBLP profile ↗
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4ranked-venue papers
0as first author
2since 2021 · last 2026
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Graphics, computer vision, multimedia, augmented reality and games · 2 · 2 since 2021Systems, architecture and hardware · 1Databases, data management, data science and information retrieval · 1 · 1 since 2021Applied, interdisciplinary, general and emerging computing · 1

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
Visualization and visual analytics · 77% Virtual and augmented reality · 23%

Topics — the 1 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Visualization and visual analytics › display technology
tiled display wall
0.212013
Scalable Resolution Display Walls · Proc. IEEE 2013

Methods — techniques the papers use, named apart from their topics

tiled flat panel display · 0.2middleware architecture · 0.2
YearPublicationVenuePosition
2026 Efficient Rotation Compression for Gaussian Splats via Geometry-Based Point Cloud Compression
abstract
Recent progress in 3D scene representation, including Neural Radiance Fields (NeRF) and 3D Gaussian Splatting (3DGS), has enabled photorealistic rendering with real-time performance. Among these, 3DGS has gained attention due to its capability to represent complex scenes using Gaussian splats. However, this representation introduces significant storage challenges because each splat contains 59 attributes—far more than conventional point clouds. Efficient compression of these attributes, particularly rotation parameters, is essential for practical deployment.
Jongseok Lee, Alexander Alshin, Hyejung Hur, Minseok Lee, Hyn-Mook Oh, Jong-Yeul Suh
DCC3
2025 Chroma Subsampling for Enhanced Geometry-Based Point Cloud Compression
abstract
Due to the huge data volume of three dimensional point clouds, efficient point cloud compression (PCC) is very important and challenging under limited storage and bandwidth conditions. The Moving Picture Experts Group (MPEG) is actively developing the geometry-based point cloud compression (G-PCC) standard and plan to release the second edition of G-PCC, namely Enhanced G-PCC. In image and video compression, chroma components are typically encoded at a lower resolution than luma, with minimal perceptual quality loss. However, chroma subsampling has not yet been explored in PCC. We investigate the characteristics of points at different level of details, and propose a chroma subsampling that can be embedded with the codec of Enhanced G-PCC. Experimental results show that the proposed method outperforms the state-of-the-art Enhanced G-PCC reference software version29.0 in terms of coding efficiency and time complexity. Due to the excellent performance, the proposed method has been adopted by the MPEG and will be integrated into the upcoming version of the reference software of Enhanced G-PCC.
Yuxuan Wei, Jongseok Lee, Hyejung Hur, Hui Yuan 0001
IEEE Signal Process. Lett.4
2013 Scalable Resolution Display Walls
abstract
This article will describe the progress since 2000 on research and development in 2-D and 3-D scalable resolution display walls that are built from tiling individual lower resolution flat panel displays. The article will describe approaches and trends in display hardware construction, middleware architecture, and user-interaction design. The article will also highlight examples of use cases and the benefits the technology has brought to their respective disciplines.
Jason Leigh, Andrew E. Johnson 0001, Luc Renambot, Tom Peterka, Byungil Jeong, Dan Sandin, Jonas Talandis, Ratko Jagodic, Sungwon Nam, Hyejung Hur
Proc. IEEE10
2009 Enabling high resolution collaborative visualization in display rich virtual organizations
Luc Renambot, Byungil Jeong, Hyejung Hur, Andrew E. Johnson 0001, Jason Leigh
Future Gener. Comput. Syst.3