Automatic Detection and Identification of Fasteners with Simple Visual Calibration using Synthetic Data. - Sangjun Noh; Seunghyeok Back; Raeyoung Kang; Sungho Shin; Kyoobin Lee (ETFA, 2020)

Unseen Object Amodal Instance Segmentation via Hierarchical Occlusion Modeling. - Seunghyeok Back; Joosoon Lee; Taewon Kim; Sangjun Noh; Raeyoung Kang; Seongho Bak; Kyoobin Lee (ICRA, 2022)

Probability propagation for faster and efficient point cloud segmentation using a neural network. - Hogeon Seo; Sangjun Noh; Sungho Shin; Kyoobin Lee (Pattern Recognit. Lett., 2023)

Domain-Specific Block Selection and Paired-View Pseudo-Labeling for Online Test-Time Adaptation. - Yeonguk Yu; Sungho Shin; Seunghyeok Back; Minhwan Ko; Sangjun Noh; Kyoobin Lee (CVPR, 2024)

PolyFit: A Peg-in-hole Assembly Framework for Unseen Polygon Shapes via Sim-to-real Adaptation. - Geonhyup Lee; Joosoon Lee; Sangjun Noh; Minhwan Ko; Kangmin Kim; Kyoobin Lee (IROS, 2024)

GraspSAM: When Segment Anything Model Meets Grasp Detection. - Sangjun Noh; Jongwon Kim; Dongwoo Nam; Seunghyeok Back; Raeyoung Kang; Kyoobin Lee (CoRR, 2024)

Learning to Place Unseen Objects Stably Using a Large-Scale Simulation. - Sangjun Noh; Raeyoung Kang; Taewon Kim; Seunghyeok Back; Seongho Bak; Kyoobin Lee (IEEE Robotics Autom. Lett., 2024)

GraspClutter6D: A Large-scale Real-world Dataset for Robust Perception and Grasping in Cluttered Scenes. - Seunghyeok Back; Joosoon Lee; Kangmin Kim; Heeseon Rho; Geonhyup Lee; Raeyoung Kang; Sangbeom Lee; Sangjun Noh; Youngjin Lee; Taeyeop Lee; Kyoobin Lee (CoRR, 2025)