Semi-Supervised Imitation Learning with Mixed Qualities of Demonstrations for Autonomous Driving. - Gunmin Lee; Wooseok Oh; Seungyoun Shin; Dohyeong Kim; Jeongwoo Oh; Jaeyeon Jeong; Sungjoon Choi; Songhwai Oh (CoRR, 2021)

Elucidating Noisy Data via Uncertainty-Aware Robust Learning. - Jeongeun Park 002; Seungyoun Shin; Sangheum Hwang; Sungjoon Choi (CoRR, 2021)

Learning Joint Representation of Human Motion and Language. - Jihoon Kim; Youngjae Yu; Seungyoun Shin; Taehyun Byun; Sungjoon Choi (CoRR, 2022)

Conditional motion in-betweening. - Jihoon Kim; Taehyun Byun; Seungyoun Shin; Jungdam Won; Sungjoon Choi (Pattern Recognit., 2022)

Towards Explainable Computer Vision Methods via Uncertainty Activation Map. - Seungyoun Shin; Wonho Bae; Junhyug Noh; Sungjoon Choi (ACPR (1), 2023)

Robust Detection for Autonomous Elevator Boarding Using a Mobile Manipulator. - Seungyoun Shin; Joonhyung Lee; Junhyug Noh; Sungjoon Choi (ACPR (1), 2023)

Elucidating robust learning with uncertainty-aware corruption pattern estimation. - Jeongeun Park 002; Seungyoun Shin; Sangheum Hwang; Sungjoon Choi (Pattern Recognit., 2023)

Towards Embedding Dynamic Personas in Interactive Robots: Masquerading Animated Social Kinematic (MASK). - Jeongeun Park 002; Taemoon Jeong; Hyeonseong Kim; Taehyun Byun; Seungyoun Shin; Keunjun Choi; Jaewoon Kwon; Taeyoon Lee; Matthew K. X. J. Pan; Sungjoon Choi (IEEE Robotics Autom. Lett., 2024)