2025–26
Hello, I'm Mijeong Kim
Ph.D. Candidate · Computer Vision Lab · Seoul National University
I develop probabilistic representations for reliable 3D/4D reconstruction and modeling of dynamic real-world scenes from limited visual observations. My research focuses on probabilistic few-shot dynamic reconstruction, 4D world models, and physical AI, with broad interests in 3D/4D vision and scene understanding.
Looking for opportunities. I am actively seeking full-time Research Scientist / Applied Scientist roles starting December 2026.
Research Overview
2024
Uncertainty in Dynamic Scenes & Multi-View Object Tracking
- NeurIPS 2024 — Uncertainty-aware 4D Gaussian Splatting from monocular video
- Under Review — Long-term multi-camera multi-object tracking via feature disentanglement
2023
3D Scene Generation
- NeurIPS 2023 — Mixtures of neural fields for 3D scene generation
- arXiv 2023 — In-the-wild 3D-aware GAN via contrastive learning
2022
News
- Selected as a Rising Star at the Deans’ Forum Women in Engineering Workshop.
- Selected as a Youlchon AI Star.
- Two first-author papers accepted to CVPR 2026.
Education
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Ph.D. in progress · Electrical and Computer Engineering
Computer Vision Lab, Seoul National University, Korea
Advisor: Prof. Bohyung Han
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B.S. · Naval Architecture and Ocean Engineering
Seoul National University, Korea
Selected Publications & Projects
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PhysGaia: A Physics-Aware Benchmark with Multi-Body Interactions for Dynamic Novel View Synthesis
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GP-4DGS: Probabilistic 4D Gaussian Splatting from Monocular Video via Variational Gaussian Processes
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HyperPose: Hyper-pose Embeddings for 3D-Aware Generative Models with Self-Supervised Disentangling of Pose and Scene
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UA-4DGS: 4D Gaussian Splatting in the Wild with Uncertainty-Aware Regularization
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Generative Neural Fields by Mixtures of Neural Implicit Functions
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ContraNeRF: 3D-Aware Generative Model via Contrastive Learning with Unsupervised Implicit Pose Embedding
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InfoNeRF: Ray Entropy Minimization for Few-Shot Neural Volume Rendering
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Beyond homography: nonparametric image alignment via graph convolutional networks
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Overcoming Forgetting in Federated Learning via Importance From Agent
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Honors & Awards
- Youlchon AI Star – Rising Star PhD (2026)
Selected as a Rising Star PhD in artificial intelligence. - Deans’ Forum Rising Stars Women in Engineering Workshop (2026)
- Kwanjeong Ph.D. Fellowship (2019-2021)
- Science and Engineering Scholarship by President (2014-2018)
- Talent Medal of Korea, Presidential Medal (2014)
Teaching Experience
- Samsung Electronics, Korea (Jul 2019 & Jul 2020)
- Hyundai Motors, Korea (Mar 2020 - Jun 2020)
Digital Computer Concept and Practice Introduction to Python, Dept. of EE in SNU
Research Grants
Deep Learning-Based Pedestrian Removal with Multi-View Data- Fund by Naver (Sep 2019 - Aug 2020)