Byeong-Uk Lee

Orcid: 0000-0003-2664-9863

According to our database1, Byeong-Uk Lee authored at least 15 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2024
Learning to Control Camera Exposure via Reinforcement Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Stable Surface Regularization for Fast Few-Shot NeRF.
Proceedings of the International Conference on 3D Vision, 2024

2023
Joint self-supervised learning and adversarial adaptation for monocular depth estimation from thermal image.
Mach. Vis. Appl., July, 2023

A Large-Scale Virtual Dataset and Egocentric Localization for Disaster Responses.
IEEE Trans. Pattern Anal. Mach. Intell., June, 2023

Self-supervised Monocular Depth Estimation from Thermal Images via Adversarial Multi-spectral Adaptation.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Single View Scene Scale Estimation using Scale Field.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

TTA-COPE: Test-Time Adaptation for Category-Level Object Pose Estimation.
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.
IEEE Robotics Autom. Lett., 2022

UDA-COPE: Unsupervised Domain Adaptation for Category-level Object Pose Estimation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Category-Level Metric Scale Object Shape and Pose Estimation.
IEEE Robotics Autom. Lett., 2021

Depth Completion Using Plane-Residual Representation.
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.
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.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

2019
DISC: A Large-scale Virtual Dataset for Simulating Disaster Scenarios.
Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

Depth Completion with Deep Geometry and Context Guidance.
Proceedings of the International Conference on Robotics and Automation, 2019


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