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researcher

Chanyoung Kim

25 papers hereh-index 10300 citations34 works total

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

author position
  • first author6
  • middle author19

Across the 25 of 25 papers where every author was matched, so the position is known.

fields
  • cs.CV16
  • cs.CL2
  • cs.LG2
  • cs.GR1
  • cs.RO1
  • eess.IV1
same name
  • Chanyoung Kim — 2 papers, h 4
  • Chanyoung Kim — 1 paper, h 11
  • Chanyoung Kim — 1 paper, h 0

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
20212026
most citedORA3D: Overlap Region Aware Multi-view 3D Object Detection

4 citations · 6 across the 24 of their papers we have counts for

collaborators
Showing 2022Show all

4 papers · 1 filter

cs.CV2022

LISA: Localized Image Stylization with Audio via Implicit Neural Representation

Seung Hyun Lee, Chanyoung Kim, Wonmin Byeon +3

We present a novel framework, Localized Image Stylization with Audio (LISA) which performs audio-driven localized image stylization. Sound often provides information about the spec…

cs.CV2022★ 4 cited

ORA3D: Overlap Region Aware Multi-view 3D Object Detection

Wonseok Roh, Gyusam Chang, Seokha Moon +5

Current multi-view 3D object detection methods often fail to detect objects in the overlap region properly, and the networks' understanding of the scene is often limited to that of…

cs.RO2022

Learning Forward Dynamics Model and Informed Trajectory Sampler for Safe Quadruped Navigation

Yunho Kim, Chanyoung Kim, Jemin Hwangbo

For autonomous quadruped robot navigation in various complex environments, a typical SOTA system is composed of four main modules -- mapper, global planner, local planner, and comm…

cs.CV2022★ 1 cited

Sound-Guided Semantic Video Generation

Seung Hyun Lee, Gyeongrok Oh, Wonmin Byeon +7

The recent success in StyleGAN demonstrates that pre-trained StyleGAN latent space is useful for realistic video generation. However, the generated motion in the video is usually n…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.