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 4D world models, probabilistic few-shot dynamic reconstruction, and physical AI, with broad interests in 3D/4D vision and scene understanding.

I’m completing my Ph.D. and seeking full-time research opportunities starting in December 2026. See my CV

2025–26

Physical AI & Probabilistic 4D Reconstruction

CVPR 20261st author — A physics-aware benchmark for dynamic scenes with multi-body interaction
CVPR 20261st author — Probabilistic 4D scene reconstruction from monocular video
WACV 20261st author — Implicit representation of camera pose

2024

Uncertainty in Dynamic Scenes & Multi-View Object Tracking

NeurIPS 20241st author — 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 20231st author — In-the-wild 3D-aware GAN via contrastive learning

2022

Few-Shot 3D Reconstruction & Multi-View Matching

CVPR 20221st author (300+ citations) — Few-shot neural volume rendering with InfoNeRF
MVA 20221st author — Graph convolutional networks for image alignment

News

Sep 2026Selected as a Rising Star at the Deans’ Forum Women in Engineering Workshop.
Sep 2026Selected as a Youlchon AI Star.
Jun 2026Two first-author papers accepted to CVPR 2026.

Experience

Huawei · Noah’s Ark Labs

Sep 2025 – Feb 2026

Applied Scientist Intern · London, UK

Feed-forward 4D reconstruction from monocular video.

Kakao Brain

Jul 2022 – Sep 2022

Research Intern · Seongnam, Korea

3D-aware generation via contrastive learning · ContraNeRF

Selected Publications & Projects

	PhysGaia: A Physics-Aware Benchmark with Multi-Body Interactions for Dynamic Novel View Synthesis Mijeong Kim, Gunhee Kim, Jungyoon Choi, Wonjae Roh, Bohyung Han CVPR 2026 [Paper] [Page] [Code]
	GP-4DGS: Probabilistic 4D Gaussian Splatting from Monocular Video via Variational Gaussian Processes Mijeong Kim, Jungtaek Kim, Bohyung Han CVPR 2026 [Paper] [Page] [Code]
	HyperPose: Hyper-pose Embeddings for 3D-Aware Generative Models with Self-Supervised Disentangling of Pose and Scene Mijeong Kim, Namgi Kim, Bohyung Han WACV 2026 [Paper] [Page] [Code]
	UA-4DGS: 4D Gaussian Splatting in the Wild with Uncertainty-Aware Regularization Mijeong Kim, Jongwoo Lim, Bohyung Han NeurIPS 2024 [Paper] [Code ]
	Generative Neural Fields by Mixtures of Neural Implicit Functions Tackgeun You, Mijeong Kim, Jungtaek Kim, Bohyung Han NeurIPS 2023 [Paper] [Code]
	ContraNeRF: 3D-Aware Generative Model via Contrastive Learning with Unsupervised Implicit Pose Embedding Mijeong Kim, Hyunjoon Lee, Bohyung Han arXiv:2304.14005 [Paper] [Code: Check HyperPose code]
	InfoNeRF: Ray Entropy Minimization for Few-Shot Neural Volume Rendering Mijeong Kim, Seonguk Seo, Bohyung Han CVPR 2022 [Paper] [Page] [Code]
	Beyond homography: nonparametric image alignment via graph convolutional networks Mijeong Kim, Sanghyepk Chu, Bohyung Han MVA (Machine Vision Applications) 2022 [Paper]
	Overcoming Forgetting in Federated Learning via Importance From Agent Mijeong Kim, Jiho Kim, Minji Kim* Conducted in Machine Intelligence and Data Science Lab. (430.658 of SNU, Prof. Taesup Moon) [Paper] [Code]

Education

Ph.D. in progress · Electrical and Computer Engineering

Computer Vision Lab, Seoul National University, Korea

Advisor: Prof. Bohyung Han
B.S. · Naval Architecture and Ocean Engineering

Seoul National University, Korea

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)