prof_pic_nayeon.JPG

Nayeon Kim

I am a first-year Ph.D. student in Computer Science at the University of Minnesota, Twin Cities, where I am a member of the Knowledge Computing Lab, advised by Professor Yao-Yi Chiang. I received a B.S. degree in Computer Science and Engineering with a minor in Automotive Software Design. Previously, I was a researcher at Samsung AI Center (ex-SAIT AI Research Center), where I worked on autonomous driving perception and AI models for semiconductor applications. Before that, I was a research intern at KETI (Korea Electronics Technology Institute), where I focused on unsupervised depth prediction and camera motion estimation.

Research Interests

Computer Vision Multi-modal Learning Autonomous Driving Generative Modeling Embodied AI

Education

University of Minnesota - Twin Cities current
Ph.D. Student, Computer Science
Minneapolis, MN, United States Sep 2026 – Present
Kookmin University
B.S., Computer Science and Engineering
Seoul, South Korea Mar 2015 – Feb 2019
Minor in Automotive Software Design Graduated Summa Cum Laude (ranked 1st)

Work Experience

Samsung Electronics AI Center
Researcher
Suwon, South Korea Mar 2019 – Aug 2026
Computer Vision Autonomous Driving Perception Generative Modeling
  • Developed a generative model for industrial process automation by prediction time-series data
  • Developed computer vision models for high-level semantic and geometric understanding of road scenes in autonomous driving (published at NeurIPS 2024, ICASSP 2023)
KETI
Research Intern
Seongnam, South Korea Dec 2017 – Oct 2018
3D Computer Vision Monocular 3D Perception
  • Developed a computer vision model for monocular depth prediction (published at KASE 2018)

Publications

  1. mapunveiler_preview.jpg
    Unveiling the Hidden: Online Vectorized HD Map Construction with Clip-Level Token Interaction and Propagation
    Nayeon Kim*, Hongje Seong*, Daehyun Ji, and Sujin Jang†
    Neural Information Processing Systems (NeurIPS), 2024
    PDF Website
  2. d3dld_preview.png
    D-3DLD: Depth-Aware Voxel Space Mapping for Monocular 3D Lane Detection with Uncertainty
    Nayeon Kim*, Moonsub Byeon*, Daehyun Ji, and Dokwan Oh†
    IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023
    PDF
  3. 2018_paper_thumbnail.png
    Unsupervised Depth Prediction and Camera Motion Estimation in a Dynamic Environment
    Nayeon Kim, Mingyu Park, and Youngbae Hwang
    Korean Society of Automotive Engineers (KASE) Annual Conference, 2018
    PDF

Patents

  1. Method and Apparatus with Vehicle Driving Control
    Hongje Seong, Nayeon Kim, Sujin Jang, Daehyun Ji
    US-Application No. 18/936,286
    Link
    Filed on 11/04/2024
  2. Method and Apparatus with Vector Map Learning and Generation
    Nayeon Kim, Sujin Jang, Dae Ung JO
    US-Application No. 18/605,119
    Link
    Filed on 03/14/2024
  3. Method and Apparatus with Lane Generation
    Nayeon Kim, Moonsub Byeon, Dokwan Oh, Daehyun Ji
    US-Application No. 17/862,821
    Link
    Filed on 07/12/2022
  4. Method and Apparatus for Determining Slope of Road Using Side View Camera of Vehicle
    Moonsub Byeon, Nayeon Kim, Daehyun Ji
    US-Application No. 17/685,917
    Link
    Filed on 03/03/2022

Service

Conference Reviewer
NeurIPS 2025, 2026