Intra- and Inter-epoch Temporal Context Network (IITNet) for Automatic Sleep Stage Scoring. - Seunghyeok Back; Seongju Lee; Hogeon Seo; Deokhwan Park; Tae Kim; Kyoobin Lee (CoRR, 2019)

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)

Intra- and inter-epoch temporal context network (IITNet) using sub-epoch features for automatic sleep scoring on raw single-channel EEG. - Hogeon Seo; Seunghyeok Back; Seongju Lee; Deokhwan Park; Tae Kim; Kyoobin Lee (Biomed. Signal Process. Control., 2020)

Robust Skin Disease Classification by Distilling Deep Neural Network Ensemble for the Mobile Diagnosis of Herpes Zoster. - Seunghyeok Back; Seongju Lee; Sungho Shin; Yeonguk Yu; Taekyeong Yuk; Saepomi Jong; Seungjun Ryu; Kyoobin Lee (IEEE Access, 2021)

Object Detection for Understanding Assembly Instruction Using Context-aware Data Augmentation and Cascade Mask R-CNN. - Joosoon Lee; Seongju Lee; Seunghyeok Back; Sungho Shin; Kyoobin Lee (CoRR, 2021)

Automatic Detection of Injection and Press Mold Parts on 2D Drawing Using Deep Neural Network. - Junseok Lee 003; Jongwon Kim; Jumi Park; Seunghyeok Back; Seongho Bak; Kyoobin Lee (CoRR, 2021)

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)

INSTA-BEEER: Explicit Error Estimation and Refinement for Fast and Accurate Unseen Object Instance Segmentation. - Seunghyeok Back; Sangbeom Lee; Kangmin Kim; Joosoon Lee; Sungho Shin; Jaemo Maeng; Kyoobin Lee (CoRR, 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)

Gated-MCBAM: Cross-Modal Block Attention Module with Gating Mechanism for Remote Sensing Segmentation. - Jeongho Min; Sungbin Son; Hyeonjin Kim; Seunghyeok Back; Jaejun Yoo 001; Youngkyun Kong (WHISPERS, 2024)

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

SleePyCo: Automatic sleep scoring with feature pyramid and contrastive learning. - Seongju Lee; Yeonguk Yu; Seunghyeok Back; Hogeon Seo; Kyoobin Lee (Expert Syst. Appl., 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)