A Mobility-Based Prediction Algorithm with Dynamic LGD Triggering for Vertical Handover. - Inwhee Joe; Minchul Shin (CCNC, 2010)

Performance Improvement for the HSR Ring Protocol with Traffic Control in Smart Grid. - Minchul Shin; Inwhee Joe (FGIT-GDC/IESH/CGAG, 2012)

An Indoor Localization Pre-Processing with Optimal Channel Selection Considering Channel Interference. - Minchul Shin; Hyunjin Jeong; Inwhee Joe (ICHIT (2), 2012)

Kinematic Analysis of Motor Axis Alignment on Humanoid Shoulder for GreetinG. - Chan-Soon Lim; Jeong-Yean Yang; Minchul Shin; Dong-Soo Kwon (HAI, 2015)

Implementation of extended Kalman filter with PI control and modeling effect reduction for precise motor speed estimation in disturbance. - Minchul Shin; Dong-Soo Kwon (URAI, 2015)

Baseline CNN structure analysis for facial expression recognition. - Minchul Shin; Munsang Kim; Dong-Soo Kwon (RO-MAN, 2016)

Energy management algorithm for solar-powered energy harvesting wireless sensor node for Internet of Things. - Minchul Shin; Inwhee Joe (IET Commun., 2016)

Face image-based age and gender estimation with consideration of ethnic difference. - Minchul Shin; Ju-Hwan Seo; Dong-Soo Kwon (RO-MAN, 2017)

Thin-film piezoelectric and high-aspect ratio polymer leg mechanisms for millimeter-scale robotics. - Jongsoo Choi; Minchul Shin; Ryan Q. Rudy; Christopher Kao; Jeffrey Pulskamp; Ronald Polcawich; Kenn R. Oldham (Int. J. Intell. Robotics Appl., 2017)

Semi-supervised Feature-Level Attribute Manipulation for Fashion Image Retrieval. - Minchul Shin; Sanghyuk Park; Taeksoo Kim (BMVC, 2019)

Study on Fashion Image Retrieval Methods for Efficient Fashion Visual Search. - Sanghyuk Park; Minchul Shin; Sungho Ham; Seungkwon Choe; Yoohoon Kang (CVPR Workshops, 2019)

A Benchmark on Tricks for Large-scale Image Retrieval. - ByungSoo Ko; Minchul Shin; Geonmo Gu; HeeJae Jun; Tae Kwan Lee; Youngjoon Kim (CoRR, 2019)

Semi-supervised Learning with a Teacher-Student Network for Generalized Attribute Prediction. - Minchul Shin (ECCV (11), 2020)

Fashion-IQ 2020 Challenge 2nd Place Team's Solution. - Minchul Shin; Yoonjae Cho; Seongwuk Hong (CoRR, 2020)

Probability Forecast Combination via Entropy Regularized Wasserstein Distance. - Ryan Cumings-Menon; Minchul Shin (Entropy, 2020)

RTIC: Residual Learning for Text and Image Composition using Graph Convolutional Network. - Minchul Shin; Yoonjae Cho; ByungSoo Ko; Geonmo Gu (CoRR, 2021)

Towards Real-time and Light-weight Line Segment Detection. - Geonmo Gu; ByungSoo Ko; SeoungHyun Go; Sung-Hyun Lee; Jingeun Lee; Minchul Shin (CoRR, 2021)

Winning the ICCV'2021 VALUE Challenge: Task-aware Ensemble and Transfer Learning with Visual Concepts. - Minchul Shin; Jonghwan Mun; Kyoung-Woon On; Woo-Young Kang; Gunsoo Han; Eun-Sol Kim (CoRR, 2021)

Towards Light-Weight and Real-Time Line Segment Detection. - Geonmo Gu; ByungSoo Ko; SeoungHyun Go; Sung-Hyun Lee; Jingeun Lee; Minchul Shin (AAAI, 2022)

BaSSL: Boundary-aware Self-Supervised Learning for Video Scene Segmentation. - Jonghwan Mun; Minchul Shin; Gunsoo Han; Sangho Lee; Seongsu Ha; Joonseok Lee; Eun-Sol Kim (ACCV (4), 2022)

MSTR: Multi-Scale Transformer for End-to-End Human-Object Interaction Detection. - Bumsoo Kim; Jonghwan Mun; Kyoung-Woon On; Minchul Shin; Junhyun Lee; Eun-Sol Kim (CVPR, 2022)

Boundary-aware Self-supervised Learning for Video Scene Segmentation. - Jonghwan Mun; Minchul Shin; Gunsoo Han; Sangho Lee; Seongsu Ha; Joonseok Lee; Eun-Sol Kim (CoRR, 2022)

Multi-Modal Mixup for Robust Fine-tuning. - Junhyuk So; Changdae Oh; Minchul Shin; Kyungwoo Song (CoRR, 2022)

Geodesic Multi-Modal Mixup for Robust Fine-Tuning. - Changdae Oh; Junhyuk So; Hoyoon Byun; YongTaek Lim; Minchul Shin; Jong-June Jeon; Kyungwoo Song (NeurIPS, 2023)

Integration of an exoskeleton robotic system into a digital twin for industrial manufacturing applications. - Hoonmin Park; Minchul Shin; Gyubok Choi; Yuseop Sim; Jiho Lee; Huitaek Yun; Martin Byung-Guk Jun; Gyuman Kim; Younghun Jeong; Hak Yi (Robotics Comput. Integr. Manuf., 2024)

The impact of teachers' perceptions of the effectiveness of formal and informal technology learning on technology usage intentions. - Minchul Shin; Innwoo Park (Educ. Inf. Technol., 2025)