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Journal Articles
- 2024
[j4]Seongju Lee
, Yeonguk Yu, Seunghyeok Back, Hogeon Seo, Kyoobin Lee:
SleePyCo: Automatic sleep scoring with feature pyramid and contrastive learning. Expert Syst. Appl. 240: 122551 (2024)- [j3]Sangjun Noh, Raeyoung Kang, Taewon Kim, Seunghyeok Back, Seongho Bak, Kyoobin Lee:
Learning to Place Unseen Objects Stably Using a Large-Scale Simulation. IEEE Robotics Autom. Lett. 9(3): 3005-3012 (2024) - 2021
- [j2]Seunghyeok Back, Seongju Lee, Sungho Shin, Yeonguk Yu, Taekyeong Yuk, Saepomi Jong, Seungjun Ryu, Kyoobin Lee:
Robust Skin Disease Classification by Distilling Deep Neural Network Ensemble for the Mobile Diagnosis of Herpes Zoster. IEEE Access 9: 20156-20169 (2021) - 2020
- [j1]Hogeon Seo, Seunghyeok Back, Seongju Lee, Deokhwan Park, Tae Kim, Kyoobin Lee:
Intra- and inter-epoch temporal context network (IITNet) using sub-epoch features for automatic sleep scoring on raw single-channel EEG. Biomed. Signal Process. Control. 61: 102037 (2020)
Conference and Workshop Papers
- 2024
- [c4]Yeonguk Yu, Sungho Shin, Seunghyeok Back, Minhwan Ko, Sangjun Noh, Kyoobin Lee:
Domain-Specific Block Selection and Paired-View Pseudo-Labeling for Online Test-Time Adaptation. CVPR 2024: 22723-22732 - 2022
- [c3]Seunghyeok Back, Joosoon Lee, Taewon Kim, Sangjun Noh, Raeyoung Kang, Seongho Bak, Kyoobin Lee:
Unseen Object Amodal Instance Segmentation via Hierarchical Occlusion Modeling. ICRA 2022: 5085-5092 - 2020
- [c2]Sangjun Noh, Seunghyeok Back, Raeyoung Kang, Sungho Shin, Kyoobin Lee:
Automatic Detection and Identification of Fasteners with Simple Visual Calibration using Synthetic Data. ETFA 2020: 38-44 - [c1]Seunghyeok Back, Jongwon Kim, Raeyoung Kang, Seungjun Choi, Kyoobin Lee:
Segmenting Unseen Industrial Components In A Heavy Clutter Using RGB-D Fusion And Synthetic Data. ICIP 2020: 828-832
Informal and Other Publications
- 2024
- [i10]Yeonguk Yu, Sungho Shin, Seunghyeok Back, Minhwan Ko, Sangjun Noh, Kyoobin Lee:
Domain-Specific Block Selection and Paired-View Pseudo-Labeling for Online Test-Time Adaptation. CoRR abs/2404.10966 (2024) - [i9]Sangjun Noh, Jongwon Kim, Dongwoo Nam, Seunghyeok Back, Raeyoung Kang, Kyoobin Lee:
GraspSAM: When Segment Anything Model Meets Grasp Detection. CoRR abs/2409.12521 (2024) - 2023
- [i8]Sangjun Noh, Raeyoung Kang, Taewon Kim, Seunghyeok Back, Seongho Bak, Kyoobin Lee:
Learning to Place Unseen Objects Stably using a Large-scale Simulation. CoRR abs/2303.08387 (2023) - [i7]Seunghyeok Back, Sangbeom Lee, Kangmin Kim, Joosoon Lee, Sungho Shin, Jaemo Maeng, Kyoobin Lee:
INSTA-BEEER: Explicit Error Estimation and Refinement for Fast and Accurate Unseen Object Instance Segmentation. CoRR abs/2306.16132 (2023) - 2022
- [i6]Seongju Lee, Yeonguk Yu, Seunghyeok Back, Hogeon Seo, Kyoobin Lee:
SleePyCo: Automatic Sleep Scoring with Feature Pyramid and Contrastive Learning. CoRR abs/2209.09452 (2022) - 2021
- [i5]Joosoon Lee, Seongju Lee, Seunghyeok Back, Sungho Shin, Kyoobin Lee:
Object Detection for Understanding Assembly Instruction Using Context-aware Data Augmentation and Cascade Mask R-CNN. CoRR abs/2101.02509 (2021) - [i4]Seunghyeok Back, Joosoon Lee, Taewon Kim, Sangjun Noh, Raeyoung Kang, Seongho Bak, Kyoobin Lee:
Unseen Object Amodal Instance Segmentation via Hierarchical Occlusion Modeling. CoRR abs/2109.11103 (2021) - [i3]Junseok Lee, Jongwon Kim, Jumi Park, Seunghyeok Back, Seongho Bak, Kyoobin Lee:
Automatic Detection of Injection and Press Mold Parts on 2D Drawing Using Deep Neural Network. CoRR abs/2110.11593 (2021) - 2020
- [i2]Seunghyeok Back, Jongwon Kim, Raeyoung Kang, Seungjun Choi, Kyoobin Lee:
Segmenting Unseen Industrial Components in a Heavy Clutter Using RGB-D Fusion and Synthetic Data. CoRR abs/2002.03501 (2020) - 2019
- [i1]Seunghyeok Back, Seongju Lee, Hogeon Seo, Deokhwan Park, Tae Kim, Kyoobin Lee:
Intra- and Inter-epoch Temporal Context Network (IITNet) for Automatic Sleep Stage Scoring. CoRR abs/1902.06562 (2019)
Coauthor Index
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