Publications

Top-tier conferences: CVPR, ICCV, ECCV, NeurIPS (NIPS), ICML, and ICLR are considered as high prestigious and top-tier conferences, which deem to have larger impacts than most SCI journals. According to Google scholar metrics, all these conferences are listed in the top 100 publications across all academic fields. Out of them, CVPR is the 2nd rank (Nature and Science are the 1st and 4th ranked respectively) among all academic fields, e.g., In terms of acceptance rate, oral presentations are about less than 4% and poster presentations about 20%, i.e., highly competitive. Additionally, ICRA and IROS are considered top-tier conferences in the field of Robotics.

2025

  1. 2024_BridgeDepth.png
    Bridging spectral-wise and multi-spectral depth estimation via geometry-guided contrastive learning
    Ukcheol Shin, Kyunghyun Lee, and Jean Oh
    arXiv preprint arXiv:2503.00793, 2025
    ICRA 2025 Accepted

2024

  1. 2023_CRM_RGBTSemSeg.png
    Complementary random masking for RGB-thermal semantic segmentation
    Ukcheol Shin, Kyunghyun Lee, In So Kweon, and Jean Oh
    In 2024 IEEE International Conference on Robotics and Automation (ICRA), 2024
  2. 2024_CVPR_DRL_AE.gif
    Learning to control camera exposure via reinforcement learning
    Kyunghyun Lee, Ukcheol Shin, and Byeong-Uk Lee
    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

  1. 2023_wacv23_teaser.png
    Self-supervised monocular depth estimation from thermal images via adversarial multi-spectral adaptation
    Ukcheol Shin, Kwanyong Park, Byeong-Uk Lee, Kyunghyun Lee, and In So Kweon
    In Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023
  2. 2023_Joint_self_adv_for_Tdepth.png
    Joint self-supervised learning and adversarial adaptation for monocular depth estimation from thermal image
    Ukcheol Shin, Kwanyong Park, Kyunghyun Lee, Byeong-Uk Lee, and In So Kweon
    Machine Vision and Applications, 2023

2022

  1. 2022_RAL_ThermalMonoDepth.gif
    Maximizing self-supervision from thermal image for effective self-supervised learning of depth and ego-motion
    Ukcheol Shin, Kyunghyun Lee, Byeong-Uk Lee, and In So Kweon
    IEEE Robotics and Automation Letters, 2022
  2. iccv2021drlisp.png
    Drl-isp: Multi-objective camera isp with deep reinforcement learning
    Ukcheol Shin, Kyunghyun Lee, and In So Kweon
    In 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2022

2021

  1. cvpr2021depth.png
    Depth completion using plane-residual representation
    Byeong-Uk Lee, Kyunghyun Lee, and In So Kweon
    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2021
  2. arxiv2021unsupervised.gif
    Self-supervised depth and ego-motion estimation for monocular thermal video using multi-spectral consistency loss
    Ukcheol Shin, Kyunghyun Lee, Seokju Lee, and In So Kweon
    IEEE Robotics and Automation Letters, 2021

2020

  1. icra2020cnn.png
    CNN-based simultaneous dehazing and depth estimation
    Byeong-Uk Lee, Kyunghyun Lee, Jean Oh, and In So Kweon
    In 2020 IEEE international conference on robotics and automation (ICRA), 2020
  2. nips2020anefficient.png
    An efficient asynchronous method for integrating evolutionary and gradient-based policy search
    Kyunghyun Lee, Byeong-Uk Lee, Ukcheol Shin, and In So Kweon
    Advances in Neural Information Processing Systems, 2020
    Oral Presentation, Top 1.1%

2015

  1. sensors2015formation.gif
    Formation flight of multiple uavs via onboard sensor information sharing
    Chulwoo Park, Namhoon Cho, Kyunghyun Lee, and Youdan Kim
    Sensors, 2015