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Min-Kook Choi
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2020 – today
- 2023
- [j6]Bogyu Park, Hyeon-Gyu Chi, Bokyung Park, Jiwon Lee, Hye Su Jin, Sunghyun Park, Woo Jin Hyung, Min-Kook Choi:
Visual modalities-based multimodal fusion for surgical phase recognition. Comput. Biol. Medicine 166: 107453 (2023) - [j5]SeulGi Hong, Seungbum Hong, Junyoung Jang, Keunyoung Kim, Woo Jin Hyung, Min-Kook Choi:
Amplifying action-context greater: image segmentation-guided intraoperative active bleeding detection. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 11(4): 1261-1270 (2023) - [j4]Arnaud Huaulmé
, Kanako Harada, Quang-Minh Nguyen, Bogyu Park
, Seungbum Hong, Min-Kook Choi
, Michael Peven, Yunshuang Li
, Yonghao Long
, Qi Dou, Satyadwyoom Kumar
, Seenivasan Lalithkumar
, Hongliang Ren, Hiroki Matsuzaki, Yuto Ishikawa, Yuriko Harai, Satoshi Kondo
, Manoru Mitsuishi, Pierre Jannin
:
PEg TRAnsfer Workflow recognition challenge report: Do multimodal data improve recognition? Comput. Methods Programs Biomed. 236: 107561 (2023) - [c23]Jihun Yoon, Min-Kook Choi:
Exploring Video Frame Redundancies for Efficient Data Sampling and Annotation in Instance Segmentation. CVPR Workshops 2023: 3308-3317 - [i11]Seungbum Hong, Jihun Yoon, Bogyu Park, Min-Kook Choi:
Rethinking Soft Label in Label Distribution Learning Perspective. CoRR abs/2301.13444 (2023) - 2022
- [c22]Bogyu Park, Hyeon-Gyu Chi, Bokyung Park, Jiwon Lee, Sunghyun Park, Woo Jin Hyung
, Min-Kook Choi:
Visual Modalities Based Multimodal Fusion for Surgical Phase Recognition. MMMI@MICCAI 2022: 11-23 - [c21]Jihun Yoon, SeulGi Hong, Seungbum Hong, Jiwon Lee, Soyeon Shin, Bokyung Park, Nakjun Sung, Hayeong Yu, Sungjae Kim, SungHyun Park, Woo Jin Hyung
, Min-Kook Choi:
Surgical Scene Segmentation Using Semantic Image Synthesis with a Virtual Surgery Environment. MICCAI (8) 2022: 551-561 - [c20]Seungbum Hong, Jihun Yoon, Min-Kook Choi, Junmo Kim:
Self-Supervised Knowledge Transfer via Loosely Supervised Auxiliary Tasks. WACV 2022: 2947-2956 - [i10]Arnaud Huaulmé, Kanako Harada, Quang-Minh Nguyen, Bogyu Park, Seungbum Hong, Min-Kook Choi, Michael Peven, Yunshuang Li, Yonghao Long, Qi Dou, Satyadwyoom Kumar, Seenivasan Lalithkumar, Hongliang Ren, Hiroki Matsuzaki, Yuto Ishikawa, Yuriko Harai, Satoshi Kondo, Mamoru Mitsuishi, Pierre Jannin:
PEg TRAnsfer Workflow recognition challenge report: Does multi-modal data improve recognition? CoRR abs/2202.05821 (2022) - [i9]SeulGi Hong, Min-Kook Choi:
Blockwise Temporal-Spatial Pathway Network. CoRR abs/2208.03040 (2022) - 2021
- [c19]Jihun Yoon, Seungbum Hong, Min-Kook Choi:
Semi-Supervised Object Detection With Sparsely Annotated Dataset. ICIP 2021: 719-723 - [c18]SeulGi Hong, Min-Kook Choi:
Blockwise Temporal-Spatial Pathway Network. ICIP 2021: 3677-3681 - [c17]Jihun Yoon, Jiwon Lee, Sunghwan Heo, Hayeong Yu, Jayeon Lim, Chi Hyun Song, SeulGi Hong, Seungbum Hong, Bokyung Park, SungHyun Park, Woo Jin Hyung
, Min-Kook Choi:
hSDB-instrument: Instrument Localization Database for Laparoscopic and Robotic Surgeries. MICCAI (4) 2021: 393-402 - [i8]Seungbum Hong, Jiwon Lee, Bokyung Park, Ahmed A. Alwusaibie, Anwar H. Alfadhel, SungHyun Park, Woo Jin Hyung, Min-Kook Choi:
Rethinking Generalization Performance of Surgical Phase Recognition with Expert-Generated Annotations. CoRR abs/2110.11626 (2021) - [i7]Jihun Yoon, Jiwon Lee, Sunghwan Heo, Hayeong Yu, Jayeon Lim, Chi Hyun Song, SeulGi Hong, Seungbum Hong, Bokyung Park, SungHyun Park, Woo Jin Hyung, Min-Kook Choi:
hSDB-instrument: Instrument Localization Database for Laparoscopic and Robotic Surgeries. CoRR abs/2110.12555 (2021) - [i6]Seungbum Hong, Jihun Yoon, Junmo Kim, Min-Kook Choi:
Self-Supervised Knowledge Transfer via Loosely Supervised Auxiliary Tasks. CoRR abs/2110.12696 (2021) - 2020
- [c16]Min-Kook Choi
, Heechul Jung:
Development of Fast Refinement Detectors on AI Edge Platforms. ICPR Workshops (4) 2020: 592-606 - [c15]Jihun Yoon, Jiwon Lee, SungHyun Park, Woo Jin Hyung
, Min-Kook Choi
:
Semi-supervised Learning for Instrument Detection with a Class Imbalanced Dataset. iMIMIC/MIL3ID/LABELS@MICCAI 2020: 266-276 - [c14]SeulGi Hong, Donghyun Kim, Min-Kook Choi
:
Memory-Efficient Models for Scene Text Recognition via Neural Architecture Search. WACV Workshops 2020: 183-191 - [i5]Jihun Yoon, Seungbum Hong, Sanha Jeong, Min-Kook Choi:
Semi-Supervised Object Detection with Sparsely Annotated Dataset. CoRR abs/2006.11692 (2020) - [i4]SeulGi Hong, Heonjin Ha, Junmo Kim, Min-Kook Choi:
Deep Active Learning with Augmentation-based Consistency Estimation. CoRR abs/2011.02666 (2020)
2010 – 2019
- 2019
- [c13]Kyungmoon Lee, Min-Kook Choi, Heechul Jung:
DavinciGAN: Unpaired Surgical Instrument Translation for Data Augmentation. MIDL 2019: 326-336 - [i3]Min-Kook Choi, Jaehyung Park, Heechul Jung, Jin-Hee Lee, Soo-Heang Eo:
Fast and Accurate Convolutional Object Detectors for Real-time Embedded Platforms. CoRR abs/1909.10798 (2019) - 2018
- [c12]Min-Kook Choi
, Jin-Hee Lee, Heechul Jung, Iman Rahmansyah Tayibnapis, Soon Kown:
Simulation framework for improved UI/UX of AR-HUD display. ICCE 2018: 1-4 - [c11]Heechul Jung, Min-Kook Choi
, Soon Kwon, Woo Young Jung:
End-to-end pedestrian collision warning system based on a convolutional neural network with semantic segmentation. ICCE 2018: 1-3 - [c10]Iman Rahmansyah Tayibnapis, Min-Kook Choi
, Soon Kwon:
Driver's gaze zone estimation by transfer learning. ICCE 2018: 1-5 - [c9]Min-Kook Choi
, Jaehyeong Park, Jihun Jung, Heechul Jung, Jin-Hee Lee, Woong-Jae Won, Woo Young Jung, Jincheol Kim, Soon Kwon:
Co-Occurrence Matrix Analysis-Based Semi-Supervised Training for Object Detection. ICIP 2018: 1333-1337 - [c8]Soon Kwon, Jaehyeong Park, Heechul Jung, Jihun Jung, Min-Kook Choi
, Iman Rahmansyah Tayibnapis, Jin-Hee Lee, Woong-Jae Won, Sung-Hoon Youn, Kwang-Hoe Kim, Tae Hun Kim:
Framework for Evaluating Vision-based Autonomous Steering Control Model. ITSC 2018: 1310-1316 - [c7]Woong-Jae Won, Tae Hun Kim, Min-Kook Choi
, Soon Kwon:
AggNet: Simple Aggregated Network for Real-Time Multiple Object Detection in Road Driving Scene. ITSC 2018: 3505-3510 - [i2]Min-Kook Choi, Jaehyeong Park, Jihun Jung, Heechul Jung, Jin-Hee Lee, Woong-Jae Won, Woo Young Jung, Jincheol Kim, Soon Kwon:
Co-occurrence matrix analysis-based semi-supervised training for object detection. CoRR abs/1802.06964 (2018) - 2017
- [c6]Heechul Jung, Min-Kook Choi
, Jihun Jung, Jin-Hee Lee, Soon Kwon, Woo Young Jung:
ResNet-Based Vehicle Classification and Localization in Traffic Surveillance Systems. CVPR Workshops 2017: 934-940 - 2016
- [j3]Min-Kook Choi
, Ziyu Wang, Hyun-Gyu Lee, Sang-Chul Lee
:
A bag-of-regions representation for video classification. Multim. Tools Appl. 75(5): 2453-2472 (2016) - [c5]Min-Kook Choi
, Chan Joo, Hyun-Gyu Lee, Sang-Chul Lee:
A Learning-based Approach to Image Demosaicking with Spatial Autocorrelation Analysis. Color Imaging: Displaying, Processing, Hardcopy, and Applications 2016: 1-6 - [c4]Min-Kook Choi
, Hyun-Gyu Lee, Sang-Chul Lee
:
Weighted SVM with classification uncertainty for small training samples. ICIP 2016: 4438-4442 - [c3]Min-Kook Choi
, Hyun-Gyu Lee, Minseok Song, Sang-Chul Lee
:
Adaptive Bitrate Selection for Video Encoding with Reduced Block Artifacts. ACM Multimedia 2016: 282-286 - [i1]Heechul Jung, Min-Kook Choi, Soon Kwon, Woo Young Jung:
End-to-End Pedestrian Collision Warning System based on a Convolutional Neural Network with Semantic Segmentation. CoRR abs/1612.06558 (2016) - 2014
- [j2]Min-Kook Choi
, Joonseok Park, Sang-Chul Lee
:
Event classification for vehicle navigation system by regional optical flow analysis. Mach. Vis. Appl. 25(3): 547-559 (2014) - 2013
- [j1]Hyun-Gyu Lee, Min-Kook Choi
, Byeong-Seok Shin, Sang-Chul Lee
:
Reducing redundancy in wireless capsule endoscopy videos. Comput. Biol. Medicine 43(6): 670-682 (2013) - [c2]Hyun-Gyu Lee, Min-Kook Choi
, Sang-Chul Lee
:
Grain-oriented segmentation of scanning electron microscope images. ICIP 2013: 4029-4033 - 2011
- [c1]Hyun-Gyu Lee, Min-Kook Choi
, Sang-Chul Lee
:
Motion analysis for duplicate frame removal in wireless capsule endoscope. Medical Imaging: Image Processing 2011: 79621T
Coauthor Index
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