Sensors and actuators of wearable haptic master device for the disabled. - Kyoobin Lee; Dong-Soo Kwon (IROS, 2000)

Wearable master device for spinal injured persons as a control device for motorized wheelchairs. - Kyoobin Lee; Dong-Soo Kwon (Artif. Life Robotics, 2000)

Wearable Master Device Using Optical Fiber Curvature Sensors for the Disabled. - Kyoobin Lee; Dong-Soo Kwon (ICRA, 2001)

Human-friendly interfaces of wheelchair robotic system for handicapped persons. - Jae-Woong Min; Kyoobin Lee; Soo-Chul Lim; Dong-Soo Kwon (IROS, 2002)

Integration of a Rehabilitation Robotic System (KARES II) with Human-Friendly Man-Machine Interaction Units. - Zeungnam Bien; Myung Jin Chung; Pyung Hun Chang; Dong-Soo Kwon; Dae-Jin Kim; Jeong-Su Han; Jae-Hean Kim; Do-Hyung Kim 004; Hyung-Soon Park; Sang-Hoon Kang; Kyoobin Lee; Soo-Chul Lim (Auton. Robots, 2004)

Synaptic plasticity model of a spiking neural network for reinforcement learning. - Kyoobin Lee; Dong-Soo Kwon (Neurocomputing, 2008)

Rate coding of spike-timing dependent plasticity: Activity-variation-timing dependent plasticity (AVTDP). - Kyoobin Lee; Dong-Soo Kwon (Neurocomputing, 2009)

Fast neuromorphic sound localization for binaural hearing aids. - Paul K. J. Park; Hyunsurk Ryu; Junhaeng Lee; Chang-Woo Shin; Kyoobin Lee; Jooyeon Woo; Jun-Seok Kim; Byung-Chang Kang; Shih-Chii Liu; Tobi Delbruck (EMBC, 2013)

Real-time motion estimation based on event-based vision sensor. - Junhaeng Lee; Kyoobin Lee; Hyunsurk Ryu; Paul K. J. Park; Chang-Woo Shin; Jooyeon Woo; Jun-Seok Kim (ICIP, 2014)

Real-time human body parts localization from dynamic vision sensor. - Wentao Mao; Qiang Wang 023; Xiaotao Wang; Ping Guo; Shandong Wang; Guangqi Shao; Kyoobin Lee; Paul K. J. Park (ICIP, 2015)

Computationally efficient, real-time motion recognition based on bio-inspired visual and cognitive processing. - Paul K. J. Park; Kyoobin Lee; Junhaeng Lee; Byungkon Kang; Chang-Woo Shin; Jooyeon Woo; Jun-Seok Kim; Yunjae Suh; Sungho Kim; Saber Moradi; Ogan Gurel; Hyunsurk Ryu (ICIP, 2015)

Performance improvement of deep learning based gesture recognition using spatiotemporal demosaicing technique. - Paul K. J. Park; Baek Hwan Cho; Jin Man Park; Kyoobin Lee; Ha Young Kim; Hyo Ah Kang; Hyun Goo Lee; Jooyeon Woo; Yohan Roh; Won Jo Lee; Chang-Woo Shin; Qiang Wang 023; et al. (ICIP, 2016)

4.1 A 640×480 dynamic vision sensor with a 9µm pixel and 300Meps address-event representation. - Bongki Son; Yunjae Suh; Sungho Kim; Heejae Jung; Jun-Seok Kim; Chang-Woo Shin; Keunju Park; Kyoobin Lee; Jin Man Park; Jooyeon Woo; Yohan Roh; Hyunku Lee; et al. (ISSCC, 2017)

Effects of Age and Motivation for Visiting on AR Museum Experiences. - Narae Park; Yohan Hong; Hyunjeong Pak; Jung Who Nam; Kyoungsu Kim; Junbom Pyo; Kyungwon Gil; Kyoobin Lee (VRST, 2019)

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)

Multiple Classification with Split Learning. - Jongwon Kim; Sungho Shin; Yeonguk Yu; Junseok Lee 003; Kyoobin Lee (SMA, 2020)

Feature Extraction Using an RNN Autoencoder for Skeleton-Based Abnormal Gait Recognition. - Kooksung Jun; Deok-Won Lee; Kyoobin Lee; Sanghyub Lee; Mun Sang Kim (IEEE Access, 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)

Deep Learning based Food Instance Segmentation using Synthetic Data. - Deokhwan Park; Joosoon Lee; Junseok Lee 003; Kyoobin Lee (UR, 2021)

Selection of Class-conditional Filters for Semantic Shifted OOD Detection. - Yeonguk Yu; Sungho Shin; Jongwon Kim; Kyoobin Lee (UR, 2021)

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)

Teaching Where to Look: Attention Similarity Knowledge Distillation for Low Resolution Face Recognition. - Sungho Shin; Joosoon Lee; Junseok Lee 003; Yeonguk Yu; Kyoobin Lee (ECCV (12), 2022)

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)

Block Selection Method for Using Feature Norm in Out-of-Distribution Detection. - Yeonguk Yu; Sungho Shin; Seongju Lee; Changhyun Jun 002; Kyoobin Lee (CVPR, 2023)

Enhancing Low-resolution Face Recognition with Feature Similarity Knowledge Distillation. - Sungho Shin; Yeonguk Yu; Kyoobin Lee (CoRR, 2023)

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)

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)

BattleSound: A Game Sound Benchmark for the Sound-Specific Feedback Generation in a Battle Game. - Sungho Shin; Seongju Lee; Changhyun Jun 002; Kyoobin Lee (Sensors, 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)

MART: MultiscAle Relational Transformer Networks for Multi-agent Trajectory Prediction. - Seongju Lee; Junseok Lee 003; Yeonguk Yu; Taeri Kim; Kyoobin Lee (ECCV (66), 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)

Curriculum Fine-tuning of Vision Foundation Model for Medical Image Classification Under Label Noise. - Yeonguk Yu; Minhwan Ko; Sungho Shin; Kangmin Kim; Kyoobin Lee (NeurIPS, 2024)

Buoy Light Detection and Pattern Classification for Unmanned Surface Vehicle Navigation. - Junseok Lee 003; Taeri Kim; Seongju Lee; Jumi Park; Kyoobin Lee (UR, 2024)

Seq2Act: A Sequence-to-Action Framework for Novel Shapes in Robotic Peg-in-Hole Assembly. - Geonhyup Lee; Joosoon Lee; Kyoobin Lee (UR, 2024)

PDCC: Peg-in-Hole Framework via Dynamic Continuous Contact Data. - Joosoon Lee; Geonhyup Lee; Kyoobin Lee (UR, 2024)

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

Exploring using jigsaw puzzles for out-of-distribution detection. - Yeonguk Yu; Sungho Shin; Minhwan Ko; Kyoobin Lee (Comput. Vis. Image Underst., 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)

TelePulse: Enhancing the Teleoperation Experience through Biomechanical Simulation-Based Electrical Muscle Stimulation in Virtual Reality. - Seokhyun Hwang; Seongjun Kang; Jeongseok Oh; Jeongju Park; Semoo Shin; Yiyue Luo; Joseph DelPreto; Sangbeom Lee; Kyoobin Lee; Wojciech Matusik; Daniela Rus; SeungJun Kim (CHI, 2025)

3rd Workshop on Maritime Computer Vision (MaCVi) 2025: Challenge Results. - Benjamin Kiefer; Lojze Zust; Jon Muhovic; Matej Kristan; Janez Pers; Matija Tersek; Uma Mudenagudi; Chaitra Desai; Arnold Wiliem; Marten Kreis; Nikhil Akalwadi; Yitong Quan; et al. (WACV (Workshops), 2025)

Transfer Learning for Photovoltaic Power Forecasting Across Regions Using Large-Scale Datasets. - Seongho Bak; Sowon Choi; Donguk Yang; Doyoon Kim; Heeseon Rho; Kyoobin Lee (IEEE Access, 2025)

3rd Workshop on Maritime Computer Vision (MaCVi) 2025: Challenge Results. - Benjamin Kiefer; Lojze Zust; Jon Muhovic; Matej Kristan; Janez Pers; Matija Tersek; Uma Mudenagudi; Chaitra Desai; Arnold Wiliem; Marten Kreis; Nikhil Akalwadi; Yitong Quan; et al. (CoRR, 2025)

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)