My Research Topics: Depth Estimation and Dynamic 3D World Modeling

Computer Vision Researcher | Ph.D Student

Minh-Quan

About Me

I am a Ph.D. student in Electrical Engineering at VIC Lab, Advanced Institute of Science & Technology (KAIST), under the supervision of Prof. Munchurl Kim.

My current research focuses on computer vision, depth estimation, neural rendering, and Dynamic 3D world reconstruction from images and videos.

Education

  • Ph.D. in Electrical Engineering KAIST, Feb.2024-Present
  • M.S. in Electrical Engineering KAIST, Mar.2022-Feb.2024
  • B.S. in Electrical Engineering Yonsei University, Mar.2016-Feb.2022
    (including mandatory military service, Jul. 2017 – Mar. 2019)

Research Interests

Computer Vision Depth Estimation 2D/3D Reconstruction Neural Rendering Deep Learning Computer Graphics

Technical Skills

Python Pytorch

Research Projects

One Look is Enough: Seamless Patchwise Refinement for Zero-Shot Monocular Depth Estimation on High-Resolution Images

Proposes efficient and generalizable tile-based depth refinement framework for zero-shot monocular depth estimation on high-resolution images.

ICCV 2025

Publications

Conference

One Look is Enough: Seamless Patchwise Refinement for Zero-Shot Monocular Depth Estimation on High-Resolution Images

Byeongjun Kwon, Munchurl Kim

ICCV 2025

Conference

From-Ground-To-Objects: Coarse-to-Fine Self-supervised Monocular Depth Estimation of Dynamic Objects with Ground Contact Prior

Jaeho moon, Juan Luis Gonzalez Bello, Byeongjun Kwon, Munchurl Kim

CVPR 2024

Get In Touch

Email

byeongjun.kwon@kaist.ac.kr

Laboratory

N24 Building
Room 1106
KAIST