Yongjun Choi

3D Vision & Robotics Lab, UNIST

Hello! I am a master's student in the 3D Vision & Robotics Lab at UNIST, advised by Prof. Kyungdon Joo.

I was a visiting student in the CARTE, MIE, at the University of Toronto through the AI Convergence Program, supported by the IITP, Korean Government.

My research focuses on 3D scene understanding, generative model, video understanding, and visual–language modeling.

Contact: ccyjun123@unist.ac.kr

CV  /  LinkedIn  /  GitHub

Selected Projects

• Object-level language–3D scene understanding framework, reducing inference time compared to LangSplat.
• Propose an object-centric contrastive learning approach to enhance multi-view consistency for language feature distillation in Gaussian Splatting.

• Video-based anomaly detection system for industrial display inspection, capable of identifying defects during long-term multi-device operation.
• Introduce a disparity synchronization module for frame-level alignment and a difference explorer module for robust, noise-resistant anomaly detection.

• Developed a low-cost human–robot interaction system for playing Gomoku, integrating real-time vision, AI-based decision-making, and robotic arm control.
• Offers an affordable, real-world gaming experience that merges physical gameplay with intelligent decision-making.

• Developed AnyBald, a mask-free diffusion-based framework for realistic hair removal in the wild.
• Achieves natural bald manipulation while preserving facial identity, enabling robust performance across diverse real-world scenarios.

Experience

• Research Assistant, 3D Vision & Robotics Lab, UNIST (Mar 2024 – Aug 2026)
  • Video understanding, Language-guided 3D scene understanding
  • Industrial project with Samsung Electronics (Technical Leading)
• Visiting Student, University of Toronto (Jan 2025 – Jun 2025)
  • Special MEng student at MIE – completed 4 graduate-level courses with a GPA of 3.95/4.0
  • Industrial project with Modiface (Technical Leading)
• Teaching Assistant, UNIST
  • AI Programming 2 (Sep 2024 – Dec 2024)
  • Kyungnam Novatus Academia (Jul 2024)
• Software Developer Intern, Upsight (Jun 2023 – Aug 2023)
  • Contributed to developing a building crack detection model integrated into diagnostic processes
  • Contributed to the initial development of a landlord–tenant community app using Flutter
• Undergraduate Research Intern, Computer Vision Lab, University of Seoul (Apr 2022 – Jul 2023)
  • Mainly studied Masked Image Modeling (MIM)-based ViT and CAM methods
  • Built AI-based plant feature extractor for urban forest management mobile platform

Awards & Honors

• 3rd place, AWS DeepRacer Competition, BigData Winter Camp (2022)
• 3rd place, Engineering Mathematics Competition, University of Seoul (awarded for three consecutive years: 2021, 2022, 2023)
• 3rd place, Spatial Convergence Big Data Idea Competition (2023) — Proposed and developed the company’s core concept as part of the team
• 3rd place, Syncathon Season 3 (AI development competition) — “finSET” (2023), serving as the team leader and project coordinator

Scholarships

• Kochon Foundation (2022)
• Boeing Korea (2022)
• Wonhae Foundation (2023)
• AI Convergence Program Scholarship, IITP, Korean Government (2025)

Education

• UNIST — M.S., Artificial Intelligence Graduate School (Expected Aug 2026), GPA: 4.03/4.3
  Advisor: Prof. Kyungdon Joo
• University of Seoul — B.S., Electrical & Computer Engineering (Feb 2024), GPA: 3.98/4.5 (Major 4.06/4.5)
  Advisor: Prof. Yongchul Kim

Template adapted from Jon Barron.