Byeong-Uk Lee

According to our database, Byeong-Uk Lee authored at least 14 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

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

CoRR, 2024

2023

Joint self-supervised learning and adversarial adaptation for monocular depth estimation from thermal image.

Ukcheol Shin, Kwanyong Park, Kyunghyun Lee, Byeong-Uk Lee, In So Kweon

Mach. Vis. Appl., July, 2023

A Large-Scale Virtual Dataset and Egocentric Localization for Disaster Responses.

Hae-Gon Jeon, Sunghoon Im, Byeong-Uk Lee, François Rameau, Dong-Geol Choi, Jean Oh, In So Kweon, Martial Hebert

IEEE Trans. Pattern Anal. Mach. Intell., June, 2023

Self-supervised Monocular Depth Estimation from Thermal Images via Adversarial Multi-spectral Adaptation.

Ukcheol Shin, Kwanyong Park, Byeong-Uk Lee, Kyunghyun Lee, In So Kweon

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Single View Scene Scale Estimation using Scale Field.

Byeong-Uk Lee, Jianming Zhang, Yannick Hold-Geoffroy, In So Kweon

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Maximizing Self-Supervision From Thermal Image for Effective Self-Supervised Learning of Depth and Ego-Motion.

Ukcheol Shin, Kyunghyun Lee, Byeong-Uk Lee, In So Kweon

IEEE Robotics Autom. Lett., 2022

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Category-Level Metric Scale Object Shape and Pose Estimation.

Taeyeop Lee, Byeong-Uk Lee, Myungchul Kim, In So Kweon

IEEE Robotics Autom. Lett., 2021

Depth Completion Using Plane-Residual Representation.

Byeong-Uk Lee, Kyunghyun Lee, In So Kweon

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

An Efficient Asynchronous Method for Integrating Evolutionary and Gradient-based Policy Search.

Kyunghyun Lee, Byeong-Uk Lee, Ukcheol Shin, In So Kweon

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

CNN-Based Simultaneous Dehazing and Depth Estimation.

Byeong-Uk Lee, Kyunghyun Lee, Jean Oh, In So Kweon

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

2019

DISC: A Large-scale Virtual Dataset for Simulating Disaster Scenarios.

Hae-Gon Jeon, Sunghoon Im, Byeong-Uk Lee, Dong-Geol Choi, Martial Hebert, In So Kweon

Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

Depth Completion with Deep Geometry and Context Guidance.

Byeong-Uk Lee, Hae-Gon Jeon, Sunghoon Im, In So Kweon

Proceedings of the International Conference on Robotics and Automation, 2019