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Jinsun Park

4 papers hereh-index 16 citations7 works total

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

author position
  • middle author1
  • last author3

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

fields
  • cs.CV4
same name
  • Jinsun Park — 4 papers, h 21
  • Jinsun Park — 1 paper
  • Jinsun Park — 1 paper, h 7
  • Jinsun Park — 1 paper, h 3
  • Jinsun Park — 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

most citedDeep Depth Estimation from Thermal Image: Dataset, Benchmark, and Challenges

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

collaborators

4 papers

cs.CV2026

OceanSplat: Object-aware Gaussian Splatting with Trinocular View Consistency for Underwater Scene Reconstruction

Minseong Kweon, Jinsun Park

We introduce OceanSplat, a novel 3D Gaussian Splatting-based approach for high-fidelity underwater scene reconstruction. To overcome multi-view inconsistencies caused by scattering…

cs.CV2025

MrGS: Multi-modal Radiance Fields with 3D Gaussian Splatting for RGB-Thermal Novel View Synthesis

Minseong Kweon, Janghyun Kim, Ukcheol Shin +1

Recent advances in Neural Radiance Fields (NeRFs) and 3D Gaussian Splatting (3DGS) have achieved considerable performance in RGB scene reconstruction. However, multi-modal renderin…

cs.CV2025

All-day Depth Completion via Thermal-LiDAR Fusion

Janghyun Kim, Minseong Kweon, Jinsun Park +1

Depth completion, which estimates dense depth from sparse LiDAR and RGB images, has demonstrated outstanding performance in well-lit conditions. However, due to the limitations of…

cs.CV2025★ 1 cited

Deep Depth Estimation from Thermal Image: Dataset, Benchmark, and Challenges

Ukcheol Shin, Jinsun Park

Achieving robust and accurate spatial perception under adverse weather and lighting conditions is crucial for the high-level autonomy of self-driving vehicles and robots. However,…

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