Showing results 1 to 7 of 7
A Large-Scale Virtual Dataset and Egocentric Localization for Disaster Responses Jeon, Hae-Gon; Im, Sunghoon; Lee, Byeong-Uk; Rameau, Francois; Choi, Dong-Geol; Oh, Jean; Kweon, In So; et al, IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, v.45, no.6, pp.6766 - 6782, 2023-06 |
Category-Level Metric Scale Object Shape and Pose Estimation Lee, Taeyeop; Lee, Byeong-Uk; Kim, Myungchul; Kweon, I. S., IEEE ROBOTICS AND AUTOMATION LETTERS, v.6, no.4, pp.8575 - 8582, 2021-10 |
CNN-based Simultaneous Dehazing and Depth Estimation Lee, Byeong-Uk; Lee, Kyunghyun; Oh, Jean; Kweon, In-So, IEEE International Conference on Robotics and Automation, pp.9722 - 9728, IEEE International Conference on Robotics and Automation, 2020-05 |
Depth completion with deep geometry and context guidance Lee, Byeong-Uk; Jeon, Hae-Gon; Im, Sunghoon; Kweon, In-So, 2019 International Conference on Robotics and Automation, ICRA 2019, pp.3281 - 3287, Institute of Electrical and Electronics Engineers Inc., 2019-05-20 |
DISC: A Large-scale Virtual Dataset for Simulating Disaster Scenarios Jeon, Hae-Gon; Im, Sunghoon; Lee, Byeong-Uk; Choi, Dong-Geol; Hebert, Martial; Kweon, In-So, 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2019, pp.187 - 194, Institute of Electrical and Electronics Engineers Inc., 2019-11 |
Joint self-supervised learning and adversarial adaptation for monocular depth estimation from thermal image Shin, Ukcheol; Park, Kwanyong; Lee, Kyunghyun; Lee, Byeong-Uk; Kweon, In So, MACHINE VISION AND APPLICATIONS, v.34, no.4, 2023-07 |
Maximizing Self-Supervision From Thermal Image for Effective Self-Supervised Learning of Depth and Ego-Motion Shin, Ukcheol; Lee, Kyunghyun; Lee, Byeong-Uk; Kweon, In So, IEEE ROBOTICS AND AUTOMATION LETTERS, v.7, no.3, pp.7771 - 7778, 2022-07 |
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