Depth Completion with Deep Geometry and Context Guidance. - Byeong-Uk Lee; Hae-Gon Jeon; Sunghoon Im; In So Kweon (ICRA, 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 (IROS, 2019)

CNN-Based Simultaneous Dehazing and Depth Estimation. - Byeong-Uk Lee; Kyunghyun Lee 004; Jean Oh; In So Kweon (ICRA, 2020)

An Efficient Asynchronous Method for Integrating Evolutionary and Gradient-based Policy Search. - Kyunghyun Lee 004; Byeong-Uk Lee; Ukcheol Shin; In So Kweon (NeurIPS, 2020)

Depth Completion Using Plane-Residual Representation. - Byeong-Uk Lee; Kyunghyun Lee 004; In So Kweon (CVPR, 2021)

Category-Level Metric Scale Object Shape and Pose Estimation. - Taeyeop Lee; Byeong-Uk Lee; Myungchul Kim 002; In So Kweon (IEEE Robotics Autom. Lett., 2021)

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 (CVPR, 2022)

Maximizing Self-Supervision From Thermal Image for Effective Self-Supervised Learning of Depth and Ego-Motion. - Ukcheol Shin; Kyunghyun Lee 004; Byeong-Uk Lee; In So Kweon (IEEE Robotics Autom. Lett., 2022)

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 (CVPR, 2023)

Single View Scene Scale Estimation using Scale Field. - Byeong-Uk Lee; Jianming Zhang 001; Yannick Hold-Geoffroy; In So Kweon (CVPR, 2023)

Self-supervised Monocular Depth Estimation from Thermal Images via Adversarial Multi-spectral Adaptation. - Ukcheol Shin; Kwanyong Park; Byeong-Uk Lee; Kyunghyun Lee 004; In So Kweon (WACV, 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., 2023)

Joint self-supervised learning and adversarial adaptation for monocular depth estimation from thermal image. - Ukcheol Shin; Kwanyong Park; Kyunghyun Lee 004; Byeong-Uk Lee; In So Kweon (Mach. Vis. Appl., 2023)

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 (3DV, 2024)

Learning to Control Camera Exposure via Reinforcement Learning. - Kyunghyun Lee 004; Ukcheol Shin; Byeong-Uk Lee (CVPR, 2024)

HUSH: Holistic Panoramic 3D Scene Understanding using Spherical Harmonics. - Jongsung Lee 007; Harin Park; Byeong-Uk Lee; Kyungdon Joo (CVPR, 2025)

How to Move Your Dragon: Text-to-Motion Synthesis for Large-Vocabulary Objects. - Wonkwang Lee; Jongwon Jeong; Taehong Moon; Hyeon-Jong Kim; Jaehyeon Kim; Gunhee Kim; Byeong-Uk Lee (CoRR, 2025)

Orak: A Foundational Benchmark for Training and Evaluating LLM Agents on Diverse Video Games. - Dongmin Park; Minkyu Kim; Beongjun Choi; Junhyuck Kim; Keon Lee; Jonghyun Lee; Inkyu Park; Byeong-Uk Lee; Jaeyoung Hwang; Jaewoo Ahn; Ameya Sunil Mahabaleshwarkar; Bilal Kartal; et al. (CoRR, 2025)