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)

Segmenting Unseen Industrial Components In A Heavy Clutter Using RGB-D Fusion And Synthetic Data. - Seunghyeok Back; Jongwon Kim; Raeyoung Kang; Seungjun Choi; Kyoobin Lee (ICIP, 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)

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)