Taeyeop Lee

About me

I am a Ph.D. student co-advised by Prof. Kuk-Jin Yoon and Prof. In So Kweon. I obtained my B.S. from Kwangwoon University (2019) and M.S. from KAIST (2021). I have been fortunate to collaborate with NVIDIA Research (2022) and Adobe Research (2023).  

My research focuses on understanding 3D worlds through geometry and semantics, specifically in Computer Vision and Robotics. Ultimately, my long-term goal is to create tools that can help people turn thoughts into reality. 

Experience

Education

Publications

 

Stable Surface Regularization for Fast Few-Shot NeRF
Byeongin Joung, Byeong-Uk Lee, Jaesung Choe, Ukcheol Shin, Minjun Kang, Taeyeop Lee, In So Kweon, Kuk-Jin Yoon
International Conference on 3D Vision (3DV), 2024
[Preprint]

TTA-COPE: Test-Time Adaptation for Category-Level Object Pose Estimation
Taeyeop Lee, Jonathan Tremblay, Valts Blukis, Bowen Wen, Byeong-Uk Lee, Inkyu Shin,
Stan Birchfield, In So Kweon, Kuk-Jin Yoon
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023
[Project] [Paper] [Preprint] [Video]

One-Shot Neural Fields for 3D Object Understanding
Valts Blukis, Taeyeop Lee, Jonathan Tremblay, Bowen Wen, In So Kweon, Kuk-Jin Yoon, Dieter Fox, Stan Birchfield
IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshop (CVPRW), 2023
XRNeRF: Advances in NeRF for the Metaverse
[Project] [Preprint] [Video]

UDA-COPE: Unsupervised Domain Adaptation for Category-level Object Pose Estimation
Taeyeop Lee, Byeong-Uk Lee, Inkyu Shin, Jaesung Choe, Ukcheol Shin, In So Kweon, Kuk-Jin Yoon
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022
[Project] [Paper] [Preprint

Category-Level Metric Scale Object Shape and Pose Estimation
Taeyeop Lee, Byeong-Uk Lee, Myungchul Kim, In So Kweon
IEEE Robotics and Automation Letters (RA-L), 2021
[Paper] [Preprint]

Robust Manipulation by Visual Learning
Taeyeop Lee, Philipp Benz, Myungchul Kim, In So Kweon
International Workshop on Frontiers of Computer Vision (IW-FCV), 2020
Best Demo Presentation Award
[Video] [Poster] [Certificate]

VectorNet: 6-DOF Pose Estimation in Occlusion
Taeyeop Lee
Dec. 2019
[Video] [Report

Awards & Honors


Activities