How to Move Your Dragon: Text-to-Motion Synthesis for Large-Vocabulary Objects
Wonkwang Lee, Jongwon Jeong, Taehong Moon, Hyeon-Jong Kim, Jaehyeon Kim, Gunhee Kim and Byeong-Uk Lee
International Conference on Machine Learning (ICML), July 2025
[paper] [project page]
HUSH: Holistic Panoramic 3D Scene Understanding using Spherical Harmonics
Jongsung Lee, Harin Park, Byeong-Uk Lee and Kyungdon Joo
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), June 2025
[paper] [project page]
Learning to Control Camera Exposure via Reinforcement Learning
Kyunghyun Lee, Ukcheol Shin and Byeong-Uk Lee
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), June 2024
[paper]
Stable Surface Regularization for Fast Few-Shot NeRF
ByeongIn Joung, Byeong-Uk Lee, Jaesung Choe, Ukcheol Shin, Minjun Kang, Taeyeop Lee, In-So Kweon and Kuk-Jin Yoon
International Conference on 3D Vision (3DV), Mar. 2024
[paper]
Single View Scene Scale Estimation using Scale Field
Byeong-Uk Lee, Jianming Zhang, Yannick Hold-Geoffroy and In So Kweon
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), June 2023
[paper]
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 and Kuk-Jin Yoon
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), June 2023
[paper]
UDA-COPE: Unsupervised Domain Adaptation for Category-Level Object Pose EstimationÂ
Taeyeop Lee, Byeong-Uk Lee, Inkyu Shin, Jaesung Choe, Ukcheol Shin, In So Kweon and Kuk-Jin Yoon
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), June 2022
[paper]
Category-Level Metric Scale Object Shape and Pose EstimationÂ
Taeyeop Lee, Byeong-Uk Lee, Myungchul Kim and In So Kweon
IEEE Robotics and Automation Letters (RA-L), Sep. 2021
[paper]
A Large-scale Virtual Dataset and Egocentric Localization for Disaster Responses
Hae-Gon Jeon, Sunghoon Im, Byeong-Uk Lee, Francois Rameau, Dong-Geol Choi, Jean Oh, In So Kweon and Martial Hebert
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), July 2021
[paper]
Depth Completion using Plane-Residual Representation
Byeong-Uk Lee, Kyunghyun Lee and In So Kweon
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), June 2021
CNN-Based Simultaneous Dehazing and Depth Estimation
Byeong-Uk Lee, Kyunghyun Lee, Jean Oh and In So Kweon
IEEE International Conference on Robotics and Automation (ICRA) (Oral Presentation), May 2020
[paper]
DISC: A Large-scale Virtual Dataset for Simulating Disaster Scenarios
Hae-Gon Jeon, Sunghoon Im, Byeong-Uk Lee, Dong-Geol Choi, Martial Hebert and In So Kweon
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (Oral Presentation), Nov. 2019
Depth Completion with Deep Geometry and Context Guidance
Byeong-Uk Lee, Hae-Gon Jeon, Sunghoon Im and In So Kweon
IEEE International Conference on Robotics and Automation (ICRA) (Oral Presentation), May 2019
