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researcher

S. Kim

4 papers hereh-index 29 citations5 works total

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

author position
  • first author2
  • middle author2

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.RO3
  • cs.CV1
same name
  • S. Kim — 89 papers, h 66
  • S. Kim — 51 papers, h 18
  • S. Kim — 42 papers, h 51
  • S. Kim — 38 papers, h 77
  • S. Kim — 28 papers, h 58
  • S. Kim — 22 papers, h 8

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

most citedRoomRecon: High-Quality Textured Room Layout Reconstruction on Mobile Devices

2 citations · 2 across the 3 of their papers we have counts for

collaborators

4 papers

cs.RO2026

AHEAD: Anticipatory Hand-Driven Teleoperation via Human Intent Prediction

Seok Joon Kim, Junho Lee, Federica Spinola +2

Direct hand-driven teleoperation maps an operator's hand motion to robot end-effector commands at every frame, enabling precise control, but it requires constant monitoring and cor…

cs.RO2026

SeeTraceAct: Visibility-Aware Latent Planning from Cross-Embodiment Demonstration Videos

Jaehyeon Son, Junhyun Kim, Kyle Kam +7

Vision-language-action models (VLAs) are promising general-purpose robot policies, but adapting them to new tasks typically requires costly task-specific teleoperation data. As an…

cs.RO2026★ 2 cited

RoomRecon: High-Quality Textured Room Layout Reconstruction on Mobile Devices

Seok Joon Kim, Dinh Duc Cao, Federica Spinola +2

Widespread RGB-Depth (RGB-D) sensors and advanced 3D reconstruction technologies facilitate the capture of indoor spaces, improving the fields of augmented reality (AR), virtual re…

cs.CV2026

MonoSAOD: Monocular 3D Object Detection with Sparsely Annotated Label

Junyoung Jung, Seokwon Kim, Jung Uk Kim

Monocular 3D object detection has achieved impressive performance on densely annotated datasets. However, it struggles when only a fraction of objects are labeled due to the high c…

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