Eunbi Lee

dblp:427/0772 · DBLP profile ↗
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2ranked-venue papers
0as first author
2since 2021 · last 2026
—ORCID · conflict

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

Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 since 2021Human-computer interaction and ubiquitous computing · 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
1 paper
Virtual and augmented reality · 50% Rendering · 50%
Network and information security
1 paper
Usable security · 100%
Human-computer interaction and pervasive computing
2 papers
Accessibility and assistive technology · 100%

Topics — the 3 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Virtual and augmented reality › near-eye display
holographic display
1.012026
PAColorHolo: A Perceptually-Aware Color Management Framework for Holographic Displays · ACM Trans. Graph. 2026
Rendering › physically based rendering › wave optics rendering › computer-generated holography
holographic rendering
1.012026
PAColorHolo: A Perceptually-Aware Color Management Framework for Holographic Displays · ACM Trans. Graph. 2026
Accessibility and assistive technology › older adults
technology for older adults
0.312026
DeepAware: Using Experiential Deepfake Simulations to Enhance Cybersecurity Awareness in Older Adults · CHI 2026

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

neural network-based perceptual modeling · 2.0deepfake simulation · 2.0color space transformation · 2.0adaptive illumination control · 2.0
YearPublicationVenuePosition
2026 DeepAware: Using Experiential Deepfake Simulations to Enhance Cybersecurity Awareness in Older Adults
Hana Oh, Eunbi Lee, Seungju Shin, Keyeun Lee, Miran Pyun, Hajin Lim
CHI2
2026 PAColorHolo: A Perceptually-Aware Color Management Framework for Holographic Displays
abstract
Holographic displays offer significant potential for augmented and virtual reality applications by reconstructing wavefronts that enable continuous depth cues and natural parallax without vergence–accommodation conflict. However, despite advances in pixel-level image quality, current systems struggle to achieve perceptually accurate color reproduction–an essential component of visual realism. These challenges arise from complex system-level distortions caused by coherent laser illumination, spatial light modulator imperfections, chromatic aberrations, and camera-induced color biases. In this work, we propose a perceptually-aware color management framework for holographic displays that jointly addresses input–output color inconsistencies through color space transformation, adaptive illumination control, and neural network–based perceptual modeling of the camera’s color response. We validate the effectiveness of our approach through numerical simulations, optical experiments, and a controlled user study. The results demonstrate substantial improvements in perceptual color fidelity, laying the groundwork for perceptually driven holographic rendering in future systems.
Minseok Chae, Seung-Woo Nam 0002, Myeong-Ho Choi, Eunbi Lee, Yoonchan Jeong, Jae-Hyeung Park
ACM Trans. Graph.6