Demo Data from VLDB 2026 / reviewers in the wild / expert
Youngmo Jeong
dblp:158/0721
· DBLP profile ↗
2ranked-venue papers
0as first author
0since 2021 · last 2019
0000-0002-3441-0978ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Graphics, computer vision, multimedia, augmented reality and games · 2
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 |
Virtual and augmented reality · 54% Computational fabrication · 23% Computational photography and imaging · 18% |
Topics — the 7 heaviest of 7, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Virtual and augmented reality
augmented reality display |
0.4 | 1 | 2019 | Foveated AR: dynamically-foveated augmented reality display · ACM Trans. Graph. 2019 |
Virtual and augmented reality › near-eye display
foveated display |
0.4 | 1 | 2019 | Foveated AR: dynamically-foveated augmented reality display · ACM Trans. Graph. 2019 |
Computational photography and imaging › image display › computational display
gaze-contingent display |
0.4 | 1 | 2019 | Foveated AR: dynamically-foveated augmented reality display · ACM Trans. Graph. 2019 |
Virtual and augmented reality
near-eye display |
0.4 | 1 | 2019 | Manufacturing Application-Driven Foveated Near-Eye Displays · IEEE Trans. Vis. Comput. Graph. 2019 |
Computational fabrication
optical fabrication |
0.4 | 1 | 2019 | Manufacturing Application-Driven Foveated Near-Eye Displays · IEEE Trans. Vis. Comput. Graph. 2019 |
Computational fabrication
computational design |
0.1 | 1 | 2019 | Manufacturing Application-Driven Foveated Near-Eye Displays · IEEE Trans. Vis. Comput. Graph. 2019 |
Geometric modeling and processing › computer-aided design › computer-aided geometric design
freeform surface design |
0.1 | 1 | 2019 | Manufacturing Application-Driven Foveated Near-Eye Displays · IEEE Trans. Vis. Comput. Graph. 2019 |
Methods — techniques the papers use, named apart from their topics
ray tracing · 0.4maxwellian-view display · 0.4machine learning · 0.4holographic optical element · 0.4gaze tracking · 0.43d printing · 0.4
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2019 | Foveated AR: dynamically-foveated augmented reality displayabstractWe present a near-eye augmented reality display with resolution and focal depth dynamically driven by gaze tracking. The display combines a traveling microdisplay relayed off a concave half-mirror magnifier for the high-resolution foveal region, with a wide field-of-view peripheral display using a projector-based Maxwellian-view display whose nodal point is translated to follow the viewer's pupil during eye movements using a traveling holographic optical element. The same optics relay an image of the eye to an infrared camera used for gaze tracking, which in turn drives the foveal display location and peripheral nodal point. Our display supports accommodation cues by varying the focal depth of the microdisplay in the foveal region, and by rendering simulated defocus on the "always in focus" scanning laser projector used for peripheral display. The resulting family of displays significantly improves on the field-of-view, resolution, and form-factor tradeoff present in previous augmented reality designs. We show prototypes supporting 30, 40 and 60 cpd foveal resolution at a net 85° × 78° field of view per eye. Jonghyun Kim 0006, Youngmo Jeong, Michael Stengel, Kaan Aksit, Rachel A. Albert, Ben Boudaoud, Trey Greer, Joohwan Kim, Ward Lopes, Alexander Majercik, Peter Shirley, Josef B. Spjut, Morgan McGuire, David P. Luebke |
ACM Trans. Graph. | 2 |
| 2019 | Manufacturing Application-Driven Foveated Near-Eye DisplaysabstractTraditional optical manufacturing poses a great challenge to near-eye display designers due to large lead times in the order of multiple weeks, limiting the abilities of optical designers to iterate fast and explore beyond conventional designs. We present a complete near-eye display manufacturing pipeline with a day lead time using commodity hardware. Our novel manufacturing pipeline consists of several innovations including a rapid production technique to improve surface of a 3D printed component to optical quality suitable for near-eye display application, a computational design methodology using machine learning and ray tracing to create freeform static projection screen surfaces for near-eye displays that can represent arbitrary focal surfaces, and a custom projection lens design that distributes pixels non-uniformly for a foveated near-eye display hardware design candidate. We have demonstrated untethered augmented reality near-eye display prototypes to assess success of our technique, and show that a ski-goggles form factor, a large monocular field of view$(30^{o}\times 55^{o})$, and a resolution of 12 cycles per degree can be achieved. Kaan Aksit, Praneeth Chakravarthula, Kishore Rathinavel, Youngmo Jeong, Rachel A. Albert, Henry Fuchs, David P. Luebke |
IEEE Trans. Vis. Comput. Graph. | 4 |