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Youngkyoon Jang

5 papers hereh-index 335 citations5 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author2
  • last author2

Across the 5 of 5 papers where every author was matched, so the position is known.

fields
  • cs.CV4
  • cs.GR1
same name
  • Youngkyoon Jang — 2 papers, h 9

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20232026
most citedICo3D: An Interactive Conversational 3D Virtual Human

1 citations · 1 across the 4 of their papers we have counts for

collaborators
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2026★ 1 cited

ICo3D: An Interactive Conversational 3D Virtual Human

Richard Shaw, Youngkyoon Jang, Athanasios Papaioannou +4

This work presents Interactive Conversational 3D Virtual Human (ICo3D), a method for generating an interactive, conversational, and photorealistic 3D human avatar. Based on multi-v…

cs.CV2026

Map2Thought: Explicit 3D Spatial Reasoning via Metric Cognitive Maps

Xiangjun Gao, Zhensong Zhang, Dave Zhenyu Chen +4

We propose Map2Thought, a framework that enables explicit and interpretable spatial reasoning for 3D VLMs. The framework is grounded in two key components: Metric Cognitive Map (Me…

cs.CV2026

SA-ResGS: Self-Augmented Residual 3D Gaussian Splatting for Next Best View Selection

Kim Jun-Seong, Tae-Hyun Oh, Eduardo Pérez-Pellitero +1

We propose Self-Augmented Residual 3D Gaussian Splatting (SA-ResGS), a novel framework to stabilize uncertainty quantification and enhancing uncertainty-aware supervision in next-b…

cs.CV2023

ILSH: The Imperial Light-Stage Head Dataset for Human Head View Synthesis

Jiali Zheng, Youngkyoon Jang, Athanasios Papaioannou +6

This paper introduces the Imperial Light-Stage Head (ILSH) dataset, a novel light-stage-captured human head dataset designed to support view synthesis academic challenges for human…

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