Publication

Internatioal Journal

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 and Kyoobin Lee*

accepted at Conference on Intelligent Robots and Systems (IROS)2024

[paper]

Domain-Specific Block Selection and Paired-View Pseudo-Labeling for online Test-Time Adaptation

Yeonguk Yu, Sungho Shin, Seunghyeok Back, Minhwan Ko, Sangjun Noh and Kyoobin Lee*

accepted at Conference on Computer Vision and Pattern Recognition (CVPR)2024

[paper] [code]

Exploring using Jigsaw Puzzles for Out-of-Distribution Detection

Yeonguk Yu, Sungho Shin, Minhwan Ko, and Kyoobin Lee*

accepted at Computer Vision and Image Understanding (CVIU) (I.F. 4.5) February 2024

[paper] [code]

Learning to Place Unseen Objects Stably using a Large-scale Simulation

Sangjun Noh*, Raeyong Kang*, Taewon Kim*, Seungheok Back, Seungho Bak, and Kyoobin Lee*

accepted at IEEE Robotics and Automation Letters (RA-L) (I.F. 5.2) January 2024

[paper] [code]

SleePyCo: Automatic Sleep Scoring with Feature Pyramid and Contrastive Learning

Seongju Lee, Yeonguk Yu, Seunghyeok Back, Hogeon Seo, and Kyoobin Lee*

accepted at Expert Systems with Applications (ESWA) (I.F. 8.5) November 2023

[paper] [code]

Deep Learning based Missing Tooth Regions Detection for Dental Implant Planning in Panoramic Radiographic Images

Jumi Park*, Junseok Lee*, Seong-Yong Moon, Kyoobin Lee*

Applied Sciences (IF:2.838), February 2022

Automated Prediction of Extraction Difficulty and Inferior Alveolar Nerve Injury for Mandibular Third Molar Using Deep Neural Network

Junseok Lee, Jumi Park, Seong-Yong Moon, Kyoobin Lee*

Applied Sciences (IF:2.838), January 2022

Rapid and Non-Destructive Spectroscopic Method for Classifying Beef Freshness using a Deep Spectral Network Fused with Myoglobin Information

Sungho Shin*, Youngjoo Lee*, Sungchul Kim, Seungjun Choi, Jae Gwan Kim*, Kyoobin Lee*

Food Chemistry (IF:7.514, 4.55% Food Science & Technology), May 2021

[paper]

Pilot study of a single-channel EEG seizure detection algorithm using machine learning

Seungjun Ryu, Seunghyeok Back, Seongju Lee, Hyeon Seo, Chanki Park, Kyoobin Lee*, Dong-Seok Kim*

Child's Nervous System, May 2021

[paper]

Self-Supervised Transfer Learning from Natural Images for Sound Classification

Sungho Shin*, Jongwon Kim, Yeonguk Yu, Seongju Lee, Kyoobin Lee*

Applied Sciences (IF:2.679), March 2021

[paper]

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 (IF=3.745), Jan 2021

[paper]

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 Le

Biomedical Signal Processing and Control (IF=3.137), Aug, 2020

[paper], [arxiv], [paperswithcode],

International Conference

Domain-Specific Block Selection and Paired-View Pseudo-Labeling for Online Test-Time Adaptation

Yeonguk Yu, Sungho Shin, Seunghyeok Back, Minhwan Ko, Sangjun Noh, and Kyoobin Lee*

The IEEE/CVF Conference on Coumputer Vision and Pattern Recognition 2024 (CVPR 2024)

[paper] [code]

We appreciate the high-performance GPU computing support of HPC-AI Open Infrastructure via GIST SCENT

RODNet: Robust Object Detection Using Joint Learning with Salient

Object Detection in Inclement Weather Conditions

Junseok Lee, Taeri Kim, Seongju Lee, Jumi Park, and Kyoobin Lee*

The 20th International Conference on Ubiquitous Robots (UR 2023)

Calculating Class-wise Weighted Feature Norm for Detecting Out-of-Distribution Samples

Yeonguk Yu, Sungho Shin, and, Kyoobin Lee*

accepted at 2023 The 20th International Conference on Ubiquitous Robots (UR 2023)

Block Selection Method for Using Feature Norm in Out-of-Distribution Detection

Yeonguk Yu, Sungho Shin, Seongju Lee, Changhyun Jun, and, Kyoobin Lee*

2023 The IEEE/CVF Conference on Coumputer Vision and Pattern Recognition (CVPR 2023)

[paper] [code]

Learning to Box: Reinforcement Learning using Heuristic Three-step Curriculum Learning

Heeseon Rho, Yeonguk Yu, Kyoobin Lee*

2022 The 22th International Conference on Control, Automation and Systems
(ICCAS 2022)

[paper]

GYM-Net: Graphical Y-branched Multi-tasking Network for Trajectory Prediction

Taeri Kim, Junseok Lee, Seongju Lee, Kyoobin Lee*

2022 The 22th International Conference on Control, Automation and Systems
(ICCAS 2022)

[paper]

Teaching Where to Look: Attention Similarity Knowledge Distillation for Low Resolution Face Recognition

Sungho Shin, Joosoon Lee, Junseok Lee, Yeonguk Yu, Kyoobin Lee*

European Conference on Computer Vision (ECCV 2022)

[paper] [poster] [code]

Object Detection Model for Exploring Underground Facilities

Seongje Woo, Sungho Shin, and Kyoobin Lee*

Ubiquitous Robot 2022, July 2022

Feature Normalization Training for Out-of-distribution Detection

Yeonguk Yu, Sungho Shin, Changhyun Jun, Junseok Lee, Kyoobin Lee*

Ubiquitous Robot 2022, July 2022

Detecting Out-of-distribution Images in Multi-Model Environment

Yeonguk Yu, Sungho Shin, Heeseon Rho, Joosoon Lee, Kyoobin Lee*

Ubiquitous Robot 2022, July 2022

Attention mask guided learning

Jongwon Kim, Sangjun Noh, Seongju Lee, Kyoobin Lee*

Ubiquitous Robot 2022, July 2022

Unseen Object Amodal Instance Segmentation via Hierarchical Occlusion Modeling

Seunghyeok Back, Joosoon Lee, Taewon Kim, Raeyoung Kang, Sungho Bak, Sangjun Noh, Kyoobin Lee*

accepted at 2022 IEEE International Conference on Robotics and Automation (ICRA 2022)

[paper] [video] [project website] [code]

Automatic Detection of Injection and Press Mold Parts on 2D Drawing Using Deep Neural Network

Junseok Lee, Jongwon Kim, Jumi Park, Seunghyeok Back, Seongho Bak, Kyoobin Lee*

2021 The 21th International Conference on Control, Automation and Systems
(ICCAS 2021)

[paper]

Acceleration of Actor-Critic Deep Reinforcement Learning for Visual Grasping in Clutter by State Representation Learning Based on Disentanglement of a Raw Input Image

Taewon Kim, Yeseong Park, Youngbin Park, Il Hong Suh

accepted at 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2021)

[paper] [video]

Deep Learning based Food Instance Segmentation using Synthetic Data

Deokhwan Park, Joosoon Lee, Junseok Lee, Kyoobin Lee.

2021 18th International Conference on Ubiquitous Robots
(UR 2021)

[paper] [code]

Selection of Class-Conditional Filters for Semantic Shifted OOD Detection

Yeonguk Yu, Sungho Shin, Jongwon Kim, Kyoobin Lee.

2021 18th International Conference on Ubiquitous Robots
(UR 2021)

[paper]

Automatic Detection and Identification of Fasteners with Simple Visual Calibration using Synthetic Data

Sangjun Noh*, Seunghyeok Back*, Raeyoung Kang, Sungho Shin, Kyoobin Lee

IEEE 24th International Conference on Emerging Technologies and Factory Automation (ETFA), Sep 2020

[paper][pdf]

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

IEEE 27th International Conference on Image Processing (ICIP), Sep 2020

[paper] [video] [slides] [code][pdf]

Multiple Classification with split learning

Jongwon Kim, Sungho Shin, Yeonguk Yu, Junseok Lee, Kyoobin Lee

The 9th International Conference on Smart Media and Applications (SMA), Sep 2020

Domestic Journal & Conferences

Autonomous Checkout Solutions: An Operable Integrated Framework for Fixed and Rotating Systems

Heeseon Rho, Dongwoo Nam, Seongho Bak, Kyoobin Lee

Journal of Institute of Control, Robotics and Systems (2024)

We appreciate the high-performance GPU computing support of HPC-AI Open Infrastructure via GIST SCENT

Image Restoration in Various Weather Conditions for Maritime Object Detection

Junseok Lee, Jumi Park, Kyoobin Lee

The 37th ICROS Annual Conference (ICROS 2022)

Cloud Framework for Detecting Out of Distribution Objects And Intelligence Enhancement

Jongwon Kim, Joosoon Lee, Yeonguk Yu, , Sungho Shin Kyoobin Lee*

Summer Annual Conference of IEIE, 2022

A Unified Network for Depth Estimation of Unseen Gripper

Kangmin Kim, Seunghyeok Back, Kyoobin Lee

The 37th ICROS Annual Conference (ICROS 2022)

Estimation of Cable Orientation in Work Plane for Cable Grasping Work

Jaehyuk Hur, Seongho Bak, Kyoobin Lee

The 37th ICROS Annual Conference (ICROS 2022)

Pointcloud Classification & Segmentation via View Distance

Sangjun Noh, Raeyong Kang, Seunghyeok Back, Taewon Kim, Kyoobin Lee

The 17th Korea Robotics Society Annual Conference (KRoC 2022)

Self-attention Improves Teeth Segmentation Performance in Dental Panoramic Radiographic Images

Jumi Park, Junseok Lee, Seongju Lee, Yeonguk Yu, Kyoobin Lee

The 17th Korea Robotics Society Annual Conference (KRoC 2022)

Comparison of Deep Learning models for Cable Connector Orientation Estimation

Heeseon Rho, Seunghyeok Back, Taewon Kim, Yeonguk Yu, Kyoobin Lee

The 17th Korea Robotics Society Annual Conference (KRoC 2022)

View-guided Partial Point Cloud Segmentation

Sangjun Noh, Raeyong Kang, Jongwon Kim, Taewon Kim, Seunghyeok Back, Kyoobin Lee

ICROS 전북제주지부-KROS 광주호남제주지부 합동 학술대회 (2021)