Dongki Jung
Scholar

Dongki Jung

Google Scholar ID: MEwO0QwAAAAJ
University of Maryland
Computer VisionRoboticsGraphics
Citations & Impact
All-time
Citations
146
 
H-index
6
 
i10-index
4
 
Publications
15
 
Co-authors
3
list available
Resume (English only)
Academic Achievements
  • - Preprints:
  • * MoRe: Monocular Geometry Refinement via Graph Optimization for Cross-View Consistency
  • * UAV4D: Dynamic Neural Rendering of Human-Centric UAV Imagery using Gaussian Splatting
  • * UAVTwin: Neural Digital Twins for UAVs using Gaussian Splatting
  • * Mode-GS: Monocular Depth Guided Anchored 3D Gaussian Splatting for Robust Ground-View Scene Rendering
  • - Publications:
  • * RPG360: Robust 360 Depth Estimation with Perspective Foundation Models and Graph Optimization (NeurIPS, 2025)
  • * IM360: Large-scale Indoor Mapping with 360 Cameras (ICCV, 2025)
  • * EDM: Equirectangular Projection-Oriented Dense Kernelized Feature Matching (CVPR, 2025)
  • * WayIL: Image-based Indoor Localization with Wayfinding Maps (ICRA, 2024)
  • * TMO: Textured Mesh Acquisition of Objects with a Mobile Device by using Differentiable Rendering (CVPR, 2023)
  • * SelfTune: Metrically Scaled Monocular Depth Estimation through Self-Supervised Learning (ICRA, 2022)
Research Experience
  • - Currently a second-year Ph.D. student in Computer Science at the University of Maryland, College Park, working in the GAMMA Lab under Prof. Dinesh Manocha.
  • - At UMD, worked on 3D reconstruction and neural rendering.
  • - Previously, was a research scientist at NAVER LABS, focusing on visual localization and mapping for robotics.
Education
  • - Master's Degree: KAIST, Advisor: Changick Kim
  • - Bachelor's Degree: Korea University
Background
  • Research Interests: 3D multi-view foundation models, combining classical geometry with modern deep learning methods to advance 3D vision.
Miscellany
  • Contact: jdk9405@umd.edu | jdk9405@gmail.com