KAIST EE Β· NTU S-Lab Research Intern

Hi, I'm Junsu πŸ‘‹

My research lies at the intersection of geometry-grounded embodied AI, egocentric vision, and 3D/4D scene understanding, with interest in 3D-aware world models for tool use, physical state changes, and human-object interactions.

3D/4D Vision Egocentric Vision Embodied AI
Junsu Kim
Undergraduate researcher
Computer Vision Β· Embodied AI
Research Focus

What I work on

β–§
3D/4D Scene Understanding

Multi-view geometry, scene representations, and feed-forward reconstruction for visual understanding.

β—‰
Egocentric Tool-Use Reasoning

Understanding human-object interactions, tool choice, and physical state changes from first-person videos.

⌁
Dataset & Benchmark Design

Building structured data, annotation workflows, and evaluation protocols for embodied AI research.

Education

Academic background

Korea Advanced Institute of Science and Technology (KAIST)
Daejeon, South Korea
  • B.S. in Electrical Engineering
  • Mar 2021 – Expected Aug 2027
  • GPA: 4.1/4.3 (Major GPA: 4.19/4.3)
Nanyang Technological University (NTU)
Singapore
  • Exchange Student, School of Electrical and Electronic Engineering
  • Jan 2026 – May 2026
Research Experience

Labs & roles

S-Lab (MMLab), NTU
Jan 2026 – Present

Research Intern (Advisor: Prof. Ziwei Liu, NTU)

  • Co-leading EgoTools, a tool-centric egocentric dataset and benchmark for embodied tool-use reasoning, with focus on data collection, annotation workflows, quality control, and benchmark design.
Computer Vision Lab (CVLAB), KAIST AI
Jun 2025 – Dec 2025

Research Intern (Advisor: Prof. Seungryong Kim, KAIST AI)

  • Conducting research on 3D vision: multi-view scene reconstruction pipelines integrating Gaussian Splatting and transformer-based depth estimation (VGGT / NoPoSplat).
Video and Image Computing Lab (VICLAB), KAIST
Dec 2024 – Jun 2025

Research Intern (Advisor: Prof. Mun Churl Kim, KAIST EE)

  • Reviewed object detection models (RCNN–YOLO, ViT).
  • Implemented baseline detectors for few-shot and anomaly detection tasks.
Publications

Selected work

1
EgoTools: Tool-Centric Reasoning in Real-World Egocentric Videos.
Shulin Tian*, Junsu Kim*, Shuai Liu, Hao Li, Shen Yujiao, Sihan Li, Zhe Yang, Yeongon Kim, Runmao Yao, Yuhao Dong, Fangzhou Hong, Antonino Furnari, Jingkang Yang, Hongyuan Zhu, Ziwei Liu.
NeurIPS 2026 Β· Under review Dataset & Benchmark Egocentric Vision
2
C3G: Learning Compact 3D Representations from Feed-Forward Novel View Synthesis.
Honggyu An*, Jaewoo Jung*, ..., Hyunah Ko, Junsu Kim, ..., Seungryong Kim.
CVPR 2026 Project Page Paper

*Equal contribution.

Projects

Technical projects

FaceVerify-AM: Face Verification with AM-Softmax (EE.40034, KAIST)

Two-stage metric-learning pipeline for face verification using ResNet-18 and AM-Softmax.

  • Scratch training β†’ fine-tuning structured training design
  • Ablation on loss, optimizer, LR scheduler, and augmentation strategies
  • Achieved 8.02% EER (baseline: 22.31%)
Computer Vision Metric Learning Face Verification GitHub
Honors

Awards & scholarships

  • KAIST Presidential Fellowship (15th) Feb 2025 – Present
  • KAIST EE, Dean’s List Award Spring 2024 Awarded to the top 3% of all EE students
  • KAIST, Freshman Dean’s List Award Fall 2021 Awarded to the top 3% of all freshman students
  • Woon Hae Scholarship (12th) Feb 2025 – Dec 2025
  • National Science & Engineering Scholarship for Academic Excellence Aug 2025 – Present
  • KAIST Shared Lives Award (Top-ranked Recipient) Feb 2026 For exceptional and sustained blood donation service (20 donations in one year)
Activities

Leadership & service

  • KAIST AI Studying Club (Include) Β· Google Student Ambassador Sep 2024 – Dec 2025
  • Young Engineers Honor Society (YEHS) Jan 2025 – Present
  • EERun (KAIST EE Running Club), President Sep 2024 – Dec 2025
  • KAIST Freshman Proctor / Freshman Tutoring Program Mar 2022 – Dec 2024

More activities available in CV.

Skills

Technical toolkit

Programming: Python, C/C++, PyTorch, Git, LaTeX

Research Tools: video preprocessing, dataset curation, annotation pipelines, evaluation scripts

Languages: Korean (Native), English (Fluent)

Β© 2026 Junsu Kim Β· Contact