Seungho Shin

I am an integrated M.S.-Ph.D. student at the Machine Learning and Intelligence Lab (MLILAB) at KAIST, advised by Prof. Eunho Yang. Before joining KAIST, I received my Master’s degree from the Visual Artificial Intelligence Lab (VAILAB) at Kyung Hee University in 2025, advised by Prof. Jung Uk Kim. I also worked with Prof. Gyeong-Moon Park through collaborative research. I received my B.S. in Software Convergence from Kyung Hee University in 2024.

My research interests are world models, agentic AI, and data-centric AI. I want to build agents that model how the world works and use that model to act in it.

If you are interested in my research or collaboration, feel free to reach out :)

Seungho Shin

News

One paper accepted to NeurIPS 2026.

Started the integrated M.S.-Ph.D. program in the MLILAB at KAIST.

One paper accepted to IEEE TMM.

One paper accepted to AAAI 2025.

Publications

*Equal contribution  †Corresponding author

International Conference

CollabVR: Collaborative Video Reasoning with Vision-Language and Video Generation Models

CollabVR: Collaborative Video Reasoning with Vision-Language and Video Generation Models

NeurIPS 2026

Joowon Kim*, Seungho Shin*, Joonhyung Park, Eunho Yang†

*Equal contribution, †Corresponding author

Multispectral Pedestrian Detection with Sparsely Annotated Label

Multispectral Pedestrian Detection with Sparsely Annotated Label

AAAI 2025

Chan Lee*, Seungho Shin*, Gyeong-Moon Park†, Jung Uk Kim†

*Equal contribution, †Corresponding author

International Journal

SSMPD: Semi-Supervised Learning for Multispectral Pedestrian Detection

SSMPD: Semi-Supervised Learning for Multispectral Pedestrian Detection

IEEE TMM

Seungho Shin*, Chan Lee*, Gyeong-Moon Park†, Jung Uk Kim†

*Equal contribution, †Corresponding author

IEEE Transactions on Multimedia, Vol. 28, pp. 1806–1819, 2026 (IF 9.7, JCR Top 2.7%)

Preprint

User-Controllable Dense Video Captioning: A Large-Scale Benchmark and Framework

User-Controllable Dense Video Captioning: A Large-Scale Benchmark and Framework

Preprint

Seungho Shin*, Sung Jin Um*, Gyeong-Moon Park†, Jung Uk Kim†

*Equal contribution, †Corresponding author

Education

Korea Advanced Institute of Science and Technology (KAIST) | Integrated M.S.-Ph.D. in Graduate School of AI

Machine Learning and Intelligence Lab (MLILAB), advised by Prof. Eunho Yang

Kyung Hee University | M.S. in Artificial Intelligence

Visual Artificial Intelligence Lab (VAILAB), advised by Prof. Jung Uk Kim

Kyung Hee University | B.S. in Software Convergence

Teaching

Teaching Assistant

  • Software Engineering (Spring 2025)
  • Web/Python Programming (Fall 2024)
  • Artificial Intelligence and Ethics (Spring 2024)

Academic Services

Conference Reviewer

  • NeurIPS 2026

Journal Reviewer

  • IEEE TCSVT