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Jong Hwan Ko

12 papers hereh-index 7572 citations14 works total

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

author position
  • middle author7
  • last author4

Across the 11 of 12 papers where every author was matched, so the position is known.

fields
  • cs.CV10
  • cs.LG1
  • eess.IV1
same name
  • Jong Hwan Ko — 4 papers, h 2
  • Jong Hwan Ko — 4 papers, h 1
  • Jong Hwan Ko — 2 papers, h 4
  • Jong Hwan Ko — 1 paper, h 2

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 citedCompact 3D Gaussian Splatting for Static and Dynamic Radiance Fields

3 citations · 9 across the 9 of their papers we have counts for

collaborators
Showing 2024Show all

4 papers · 1 filter

cs.CV2024★ 3 cited

Compact 3D Gaussian Splatting for Static and Dynamic Radiance Fields

Joo Chan Lee, Daniel Rho, Xiangyu Sun +2

3D Gaussian splatting (3DGS) has recently emerged as an alternative representation that leverages a 3D Gaussian-based representation and introduces an approximated volumetric rende…

cs.CV2024★ 2 cited

F-3DGS: Factorized Coordinates and Representations for 3D Gaussian Splatting

Xiangyu Sun, Joo Chan Lee, Daniel Rho +3

The neural radiance field (NeRF) has made significant strides in representing 3D scenes and synthesizing novel views. Despite its advancements, the high computational costs of NeRF…

cs.CV2024★ 1 cited

Mip-Grid: Anti-aliased Grid Representations for Neural Radiance Fields

Seungtae Nam, Daniel Rho, Jong Hwan Ko +1

Despite the remarkable achievements of neural radiance fields (NeRF) in representing 3D scenes and generating novel view images, the aliasing issue, rendering "jaggies" or "blurry"…

cs.CV2024

Continuous Memory Representation for Anomaly Detection

Joo Chan Lee, Taejune Kim, Eunbyung Park +2

There have been significant advancements in anomaly detection in an unsupervised manner, where only normal images are available for training. Several recent methods aim to detect a…

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