Jungeon Kim
Scholar

Jungeon Kim

Google Scholar ID: VL0fjaIAAAAJ
POSTECH
Citations & Impact
All-time
Citations
189
 
H-index
6
 
i10-index
5
 
Publications
18
 
Co-authors
0
 
Resume (English only)
Academic Achievements
  • 1. Multiview Geometric Regularization of Gaussian Splatting for Accurate Radiance Fields, Computer Graphics Forum (Proc. EGSR), 2025
  • 2. Deep Polycuboid Fitting for Compact 3D Representation of Indoor Scenes, International Conference on 3D Vision (3DV), 2025
  • 3. Deep Cost Ray Fusion for Sparse Depth Video Completion, European Conference on Computer Vision (ECCV), 2024
  • 4. LaplacianFusion: Detailed 3D Clothed-Human Body Reconstruction, ACM Transactions on Graphics (TOG), 2022 (Proc. SIGGRAPH Asia 2022)
  • 5. CostDCNet: Cost Volume based Depth Completion for a Single RGB-D Image, European Conference on Computer Vision (ECCV), 2022
  • 6. Realistic Blur Synthesis for Learning Image Deblurring, European Conference on Computer Vision (ECCV), 2022
  • 7. TextureMe: High-quality Textured Scene Reconstruction in Real Time, ACM Transactions on Graphics (TOG), 2022 (presented at SIGGRAPH 2022)
  • 8. Deep Virtual Markers for Articulated 3D Shapes, International Conference on Computer Vision (ICCV), 2021 (Oral Presentation)
  • 9. Spatiotemporal Texture Reconstruction for Dynamic Objects Using a Single RGB-D Camera, Computer Graphics Forum (Proc. Eurographics), 2021
  • 10. Global Texture Mapping for Dynamic Objects, Computer Graphics Forum (Proc. Pacific graphics), 2019
  • 11. Semantic Reconstruction: Reconstruction of Semantically Segmented 3D Meshes via Volumetric Semantic Fusion, Computer Graphics Forum (Proc. Pacific graphics), 2018
  • 12. Frame Rate Upconversion Using Pyramid Structure and Dense Motion Vector Fields, Journal of Electronic Imaging (JEI) in SPIE, 2016
  • 13. Body Segmentation using Gradient Background and Intra-Frame Collision Responses for Markerless Camera-Based Games, Journal of Electrical Engineering & Technology (JEET), 2016
Research Experience
  • Published papers in various international conferences and journals, including Computer Graphics Forum, International Conference on 3D Vision, European Conference on Computer Vision, ACM Transactions on Graphics, etc.
Education
  • Ph.D.: POSTECH (South Korea), Advisor: Prof. Seungyong Lee
Background
  • Research interests: intersection of computer vision, computer graphics, and artificial intelligence, with a particular focus on reconstructing the 3D geometry and appearance of real scenes (or objects).
Co-authors
0 total
Co-authors: 0 (list not available)