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Minchul Shin
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2020 – today
- 2024
- [j4]Hoonmin Park, Minchul Shin, Gyubok Choi, Yuseop Sim, Jiho Lee, Huitaek Yun, Martin Byung-Guk Jun, Gyuman Kim, Younghun Jeong, Hak Yi:
Integration of an exoskeleton robotic system into a digital twin for industrial manufacturing applications. Robotics Comput. Integr. Manuf. 89: 102746 (2024) - 2023
- [c14]Changdae Oh, Junhyuk So, Hoyoon Byun, YongTaek Lim, Minchul Shin, Jong-June Jeon, Kyungwoo Song:
Geodesic Multi-Modal Mixup for Robust Fine-Tuning. NeurIPS 2023 - 2022
- [c13]Geonmo Gu, ByungSoo Ko, SeoungHyun Go, Sung-Hyun Lee, Jingeun Lee, Minchul Shin:
Towards Light-Weight and Real-Time Line Segment Detection. AAAI 2022: 726-734 - [c12]Jonghwan Mun, Minchul Shin, Gunsoo Han, Sangho Lee, Seongsu Ha, Joonseok Lee, Eun-Sol Kim:
BaSSL: Boundary-aware Self-Supervised Learning for Video Scene Segmentation. ACCV (4) 2022: 485-501 - [c11]Bumsoo Kim, Jonghwan Mun, Kyoung-Woon On, Minchul Shin, Junhyun Lee, Eun-Sol Kim:
MSTR: Multi-Scale Transformer for End-to-End Human-Object Interaction Detection. CVPR 2022: 19556-19565 - [i11]Jonghwan Mun, Minchul Shin, Gunsoo Han, Sangho Lee, Seongsu Ha, Joonseok Lee, Eun-Sol Kim:
Boundary-aware Self-supervised Learning for Video Scene Segmentation. CoRR abs/2201.05277 (2022) - [i10]Junhyuk So, Changdae Oh, Minchul Shin, Kyungwoo Song:
Multi-Modal Mixup for Robust Fine-tuning. CoRR abs/2203.03897 (2022) - [i9]Bumsoo Kim, Jonghwan Mun, Kyoung-Woon On, Minchul Shin, Junhyun Lee, Eun-Sol Kim:
MSTR: Multi-Scale Transformer for End-to-End Human-Object Interaction Detection. CoRR abs/2203.14709 (2022) - 2021
- [i8]Minchul Shin, Yoonjae Cho, ByungSoo Ko, Geonmo Gu:
RTIC: Residual Learning for Text and Image Composition using Graph Convolutional Network. CoRR abs/2104.03015 (2021) - [i7]Geonmo Gu, ByungSoo Ko, SeoungHyun Go, Sung-Hyun Lee, Jingeun Lee, Minchul Shin:
Towards Real-time and Light-weight Line Segment Detection. CoRR abs/2106.00186 (2021) - [i6]Minchul Shin, Jonghwan Mun, Kyoung-Woon On, Woo-Young Kang, Gunsoo Han, Eun-Sol Kim:
Winning the ICCV'2021 VALUE Challenge: Task-aware Ensemble and Transfer Learning with Visual Concepts. CoRR abs/2110.06476 (2021) - 2020
- [j3]Ryan Cumings-Menon
, Minchul Shin:
Probability Forecast Combination via Entropy Regularized Wasserstein Distance. Entropy 22(9): 929 (2020) - [c10]Minchul Shin
:
Semi-supervised Learning with a Teacher-Student Network for Generalized Attribute Prediction. ECCV (11) 2020: 509-525 - [i5]Minchul Shin
, Yoonjae Cho, Seongwuk Hong:
Fashion-IQ 2020 Challenge 2nd Place Team's Solution. CoRR abs/2007.06404 (2020) - [i4]Minchul Shin
:
Semi-supervised Learning with a Teacher-student Network for Generalized Attribute Prediction. CoRR abs/2007.06769 (2020)
2010 – 2019
- 2019
- [c9]Minchul Shin, Sanghyuk Park, Taeksoo Kim:
Semi-supervised Feature-Level Attribute Manipulation for Fashion Image Retrieval. BMVC 2019: 203 - [c8]Sanghyuk Park, Minchul Shin, Sungho Ham, Seungkwon Choe, Yoohoon Kang:
Study on Fashion Image Retrieval Methods for Efficient Fashion Visual Search. CVPR Workshops 2019: 316-319 - [i3]Minchul Shin
, Sanghyuk Park, Taeksoo Kim:
Semi-supervised Feature-Level Attribute Manipulation for Fashion Image Retrieval. CoRR abs/1907.05007 (2019) - [i2]ByungSoo Ko, Minchul Shin
, Geonmo Gu, HeeJae Jun, Tae Kwan Lee, Youngjoon Kim:
A Benchmark on Tricks for Large-scale Image Retrieval. CoRR abs/1907.11854 (2019) - 2017
- [j2]Jongsoo Choi, Minchul Shin
, Ryan Q. Rudy, Christopher Kao, Jeffrey Pulskamp, Ronald Polcawich, Kenn R. Oldham:
Thin-film piezoelectric and high-aspect ratio polymer leg mechanisms for millimeter-scale robotics. Int. J. Intell. Robotics Appl. 1(2): 180-194 (2017) - [c7]Minchul Shin, Ju-Hwan Seo, Dong-Soo Kwon:
Face image-based age and gender estimation with consideration of ethnic difference. RO-MAN 2017: 567-572 - 2016
- [j1]Minchul Shin, Inwhee Joe:
Energy management algorithm for solar-powered energy harvesting wireless sensor node for Internet of Things. IET Commun. 10(12): 1508-1521 (2016) - [c6]Minchul Shin, Munsang Kim, Dong-Soo Kwon:
Baseline CNN structure analysis for facial expression recognition. RO-MAN 2016: 724-729 - [i1]Minchul Shin
, Munsang Kim, Dong-Soo Kwon:
Baseline CNN structure analysis for facial expression recognition. CoRR abs/1611.04251 (2016) - 2015
- [c5]Chan-Soon Lim, Jeong-Yean Yang, Minchul Shin, Dong-Soo Kwon:
Kinematic Analysis of Motor Axis Alignment on Humanoid Shoulder for GreetinG. HAI 2015: 323-326 - [c4]Minchul Shin, Dong-Soo Kwon:
Implementation of extended Kalman filter with PI control and modeling effect reduction for precise motor speed estimation in disturbance. URAI 2015: 72-76 - 2012
- [c3]Minchul Shin, Inwhee Joe:
Performance Improvement for the HSR Ring Protocol with Traffic Control in Smart Grid. FGIT-GDC/IESH/CGAG 2012: 48-55 - [c2]Minchul Shin, Hyunjin Jeong, Inwhee Joe:
An Indoor Localization Pre-Processing with Optimal Channel Selection Considering Channel Interference. ICHIT (2) 2012: 78-85 - 2010
- [c1]Inwhee Joe, Minchul Shin:
A Mobility-Based Prediction Algorithm with Dynamic LGD Triggering for Vertical Handover. CCNC 2010: 1-2
Coauthor Index
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last updated on 2024-06-11 20:40 CEST by the dblp team
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