[P] All-day Depth Completion via Thermal-LiDAR Fusion

Janghyun Kim, Minseong Kweon, Jinsun Park*, Ukcheol Shin* (*Equal Corresponding)

Under-review, 2025

[ paper / code ]

• Short version at 'Thermal Infrared in Robotics' workshop @ ICRA 2025

[P] Deep Depth Estimation from Thermal Image: Dataset, Benchmark, and Challenges

Ukcheol Shin, Jinsun Park

Under-review, 2025

[ paper / code ]

[P] SF-VO: Self-Supervised Few-Shot Adaptation for Visual Odometry

Junhee Lee, Jean Oh, Ukcheol Shin*, Kyungdon Joo* (*Equal Corresponding)

Under-review, 2025

[ paper / code ]

[P] MrGS: Multimodal Radiance Fields with 3D Gaussian splatting for RGB-Thermal Novel View Synthesis

Minseong Kweon, JangHyun Kim, Ukcheol Shin*, Jinsun Park* (*Equal Corresponding)

Under-review, 2025

[ paper / code ]

• Best Poster Award at ’Thermal Infrared in Robotics’ workshop @ ICRA, 2025 

[C] VPOcc: Exploiting Vanishing Point for Monocular 3D Semantic Occupancy Prediction

Junsu Kim, Junhee Lee, Ukcheol Shin, Jean Oh, Kyungdon Joo

IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2025 Oral

[ paper / project / code ]

• Short version at 'Foundation Models for V2X-based Cooperative Autonomous Driving' workshop @ CVPR 2025

• Silver Prize, 31th Samsung Humantech Paper Awards

[C] Bridging Spectral-wise and Multi-spectral Depth Estimation via Geometry-guided Contrastive Learning

Ukcheol Shin, Kyunghyun Lee, and Jean Oh

IEEE International Conference on Robotics and Automation (ICRA), 2025 Oral

[ paper / code ]

• Honorable Mention, 29th Samsung Humantech Paper Awards

[C] Flow4D: Leveraging 4D Voxel Network for LiDAR Scene Flow Estimatoin

Jaeyeul Kim*, Jungwan Woo*, Ukcheol Shin, Jean Oh, and Sunghoon Im (*Equal Contribution)

IEEE Robotics and Automation Letters (RA-L), 2025
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2025 Oral

[ paper / code ]

• 1st Place Award, CVPR 2024 Autonomous Driving Workshop 'Argoverse Scene Flow Challenge'

[J] FIReStereo: Forest InfraRed Stereo Dataset for UAS Depth Perception in Visually Degraded Environments

Devansh Dhrafan*, Yifei Liu*, Andrew Jong, Ukcheol Shin, Yao He, Tyler Harp, Yaoyu Hu, Jean Oh, Sebastian Scherer (*Equal Contribution)

IEEE Robotics and Automation Letters (RA-L), 2025
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2025 Oral

[ paper / project / code ]

[C] Exploiting Cross-modal Cost Volume for Multi-sensor Depth Estimation

Janghyun Kim, Ukcheol Shin, Seokyong Heo, Jinsun Park

Asian Conference on Computer Vision (ACCV), 2024

[ paper ]

[C] Density-aware Domain Generalization for LiDAR Semantic Segmentation

Jaeyeul Kim*, Jungwan Woo*, Ukcheol Shin, Jean Oh, and Sunghoon Im (*Equal Contribution)

IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2024 Oral

[ paper ]

[C] Learning to Control Camera Exposure via Reinforcement Learning

Kyunghyun Lee*, Ukcheol Shin*, Byeong-Uk Lee (* equal contribution)

Proceedings of the IEEE conference on computer vision and pattern recognition (CVPR), 2024

[ paper / project ]

[C] Learning Quadrupedal Locomotion with Impaired Joints Using Random Joint Masking

Mincheol Kim, Ukcheol Shin, Jung-Yup Kim

IEEE International Conference on Robotics and Automation (ICRA), 2024 Oral

[ paper / project ]

• Media coverage: covered by IEEE Spectrum

[C] Complementary Random Masking for RGB-T Semantic Segmentation

Ukcheol Shin, Kyunghyun Lee, In So Kweon, Jean Oh

IEEE International Conference on Robotics and Automation (ICRA), 2024 Oral

[ paper / code / project ]

[C] 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

International Conference on 3D Vision (3DV), 2024

[ paper ]

[J] 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

Machine Vision and Applications (MVA), 2023

[ paper / code ]

[C] Deep Depth Estimation from Thermal Image

Ukcheol Shin, Jinsun Park, In So Kweon

Proceedings of the IEEE conference on computer vision and pattern recognition (CVPR), 2023

[ paper / Benchmark / MS2 dataset / Github ]

[C] 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

IEEE Winter Conference on Applications of Computer Vision (WACV), 2023 Oral

[ paper / code / poster / award ]

• Best Student Paper Award, Out of 641 accepted papers (out of 1577 submissions)

[J] 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 and Automation Letters (RA-L), 2022
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2022 Oral

[ paper / code / project ]

[C] DRL-ISP: Multi-Objective Camera ISP with Deep Reinforcement Learning

Ukcheol Shin*, Kyunghyun Lee*, In So Kweon (* equal contribution)

IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2022 Oral

[ paper / code / project ]

[C] 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 conference on computer vision and pattern recognition (CVPR), 2022

[ paper / project ]

[J] Self-supervised Depth and Ego-motion Estimation for Monocular Thermal Video using Multi-spectral Consistency Loss

Ukcheol Shin, Kyunghyun Lee, Seokju Lee, In So Kweon

IEEE Robotics and Automation Letters (RA-L), 2021
IEEE International Conference on Robotics and Automation (ICRA), 2022 Oral

[ paper / code / project ]

[J] MS-UDA: Multi-Spectral Unsupervised Domain Adaptation for Thermal Image Semantic Segmentation

YeongHyeon Kim, Ukcheol Shin, Jinsun Park, In So Kweon

IEEE Robotics and Automation Letters (RA-L), 2021
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2021 Oral

[ paper / code / project ]

[C] An Efficient Asynchronous Method for Integrating Evolutionary and Gradient-based Policy Search

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

Conference on Neural Information Processing Systems (NeurIPS), 2020 Oral (Acceptance: 105/9454 ≈ 1.1%)

[ paper / code ]

[C] Vehicular multi-camera sensor system for automated visual inspection of electric power distribution equipment

Jinsun Park, Ukcheol Shin, Gyumin Shim, Kyungdon Joo, Francois Rameau, Junhyeok Kim, Dong-Geol Choi, In So Kweon

IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2019 Oral

[ paper ]

• Media coverage: covered by MBN, EnergyDaily, and many local media

[C] Camera exposure control for robust robot vision with noise-aware image quality assessment

Ukcheol Shin, Jinsun Park, Gyumin Shim, Francois Rameau, In So Kweon

IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2019 Oral

[ paper / dataset / code / project ]

[J] Performance evaluation of real-time mechanisms on open embedded hardware platforms

Ukcheol Shin, Byoung Wook Choi

Journal of Institute of Control, Robotics and Systems, 2017

[ paper ]

[J] Development and control of an omnidirectional mobile robot on an ethercat network

Raimarius Delgado, UkCheol Shin, Chang Hwi Hong, Byoung Wook Choi

International Journal of Applied Engineering Research, 2016

[ paper ]