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Jaesung Choe

11 papers hereh-index 3103 citations9 works total

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

author position
  • middle author7
  • last author2

Across the 9 of 11 papers where every author was matched, so the position is known.

fields
  • cs.CV10
  • cs.RO1
same name
  • Jaesung Choe — 7 papers, h 9
  • Jaesung Choe — 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
20242026
most citedSVRecon: Sparse Voxel Rasterization for Surface Reconstruction

1 citations · 1 across the 9 of their papers we have counts for

collaborators
Showing 2025Show all

4 papers · 1 filter

cs.CV2025

Quantile Rendering: Efficiently Embedding High-dimensional Feature on 3D Gaussian Splatting

Yoonwoo Jeong, Cheng Sun, Frank Wang +2

Recent advancements in computer vision have successfully extended Open-vocabulary segmentation (OVS) to the 3D domain by leveraging 3D Gaussian Splatting (3D-GS). Despite this prog…

cs.CV2025★ 1 cited

SVRecon: Sparse Voxel Rasterization for Surface Reconstruction

Seunghun Oh, Jaesung Choe, Dongjae Lee +4

We extend the recently proposed sparse voxel rasterization paradigm to the task of high-fidelity surface reconstruction by integrating Signed Distance Function (SDF), named SVRecon…

cs.CV2025

Dr. Splat: Directly Referring 3D Gaussian Splatting via Direct Language Embedding Registration

Kim Jun-Seong, GeonU Kim, Kim Yu-Ji +3

We introduce Dr. Splat, a novel approach for open-vocabulary 3D scene understanding leveraging 3D Gaussian Splatting. Unlike existing language-embedded 3DGS methods, which rely on…

cs.CV2025

Mosaic3D: Foundation Dataset and Model for Open-Vocabulary 3D Segmentation

Junha Lee, Chunghyun Park, Jaesung Choe +4

We tackle open-vocabulary 3D scene understanding by introducing a novel data generation pipeline and training framework. Our method addresses three critical requirements for effect…

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