Publications

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DextER thumbnail
CVPR 2026

DextER: Language-driven Dexterous Grasp Generation with Embodied Reasoning

Junha Lee, Eunha Park, and Minsu Cho Paper ·Project ·Code
Affogato thumbnail
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
Mosaic3D thumbnail
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
3D Geometric Shape Assembly via Efficient Point Cloud Matching thumbnail
ICML 2024

3D Geometric Shape Assembly via Efficient Point Cloud Matching

*Nahyuk Lee, *Juhong Min, Junha Lee, Seungwook Kim, Kanghee Lee, Jaesik Park, and Minsu Cho
Learning to Register Unbalanced Point Pairs thumbnail
CVPR-W 2023

Learning to Register Unbalanced Point Pairs

Kanghee Lee, Junha Lee, and Jaesik Park Paper
PeRFception thumbnail
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
Putting 3D Spatially Sparse Networks on a Diet thumbnail
arXiv 2021

Putting 3D Spatially Sparse Networks on a Diet

Junha Lee, Christopher Choy, Animashree Anandkumar, and Jaesik Park Paper
Deep Hough Voting for Robust Global Registration thumbnail
ICCV 2021

Deep Hough Voting for Robust Global Registration

Junha Lee, Seungwook Kim, Minsu Cho, and Jaesik Park Paper ·Project ·Code
High Dimensional Convolutional Networks for Geometric Pattern Recognition thumbnail
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