Junha Lee

Research Scientist at SqueezeBits, working on the intersection of efficient AI and physical AI.

I received my Ph.D. (2025) and M.S. (2021) in Computer Science and Engineering from POSTECH, where I was supervised by Prof. Minsu Cho at the Computer Vision Lab. I also received my B.S. (2019) in CSE from POSTECH.

My research interests have evolved from 3D geometric understanding (HighDimConv, DHVR, PeRFception) to 3D vision-language models for open-vocabulary 3D perception (Mosaic3D, Affogato), and then to robotic manipulation (DextER). Currently, I focus on the intersection of efficient AI and physical AI.

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Experience

2026.02 — Present

Research Scientist | SqueezeBits

Working on the intersection of efficient AI & physical AI

2024.09 — 2025.09

Research Intern | NVIDIA (Remote)

Hosted by Chris Choy and Jan Kautz. Topic: Open-vocabulary 3D Foundation Models

2024.06 — 2024.08

Research Intern | NVIDIA (On-site, Santa Clara)

Hosted by Chris Choy and Jan Kautz. Topic: 3D Multimodal Large Language Models

Education

2021 — 2025

Ph.D. in Computer Science and Engineering | POSTECH

Thesis: Learning Language-Driven 3D Perception and Manipulation via Vision-Language Models

2019 — 2021

M.S. in Computer Science and Engineering | POSTECH

Thesis: Global Point Cloud Registration using High-dimensional ConvNets and Hough Voting

2012 — 2019

B.S. in Computer Science and Engineering | POSTECH

Selected Publications

CVPR 2026

DextER: Language-driven Dexterous Grasp Generation with Embodied Reasoning

Junha Lee, Eunha Park, and Minsu Cho Paper ·Project ·Code

Under review 2025

Affogato: Learning Open-Vocabulary Affordance Grounding with Automatic Data Generation at Scale

Junha Lee, Eunha Park, Dahyun Kang, Chunghyun Park, and Minsu Cho Paper ·Project

CVPR 2025

Mosaic3D: Foundation Dataset and Model for Open-Vocabulary 3D Segmentation

*Junha Lee, *Chunghyun Park, Jaesung Choe, Yu-Chiang Frank Wang, Jan Kautz, Minsu Cho, and Chris Choy Paper ·Project

NeurIPS 2022

PeRFception: Perception using Radiance Fields

*Yoonwoo Jeong, *Seungjoo Shin, *Junha Lee, Christopher Choy, Animashree Anandkumar, Minsu Cho, and Jaesik Park Paper ·Project ·Code

ICCV 2021

Deep Hough Voting for Robust Global Registration

Junha Lee, Seungwook Kim, Minsu Cho, and Jaesik Park Paper ·Project ·Code

CVPR 2020 Oral

High Dimensional Convolutional Networks for Geometric Pattern Recognition

Christopher Choy, Junha Lee, Rene Ranftl, Jaesik Park, and Vladlen Koltun Paper ·Project ·Code

View all publications →

Services

Conference Reviewer: CVPR (2022-2026), ECCV (2022, 2024), ICCV (2021, 2023, 2025), ICLR (2026), BMVC (2021)
Journal Reviewer: TPAMI (2022, 2024, 2025), IJCV (2024), IEEE RA-L/ICRA (2021)