Search Results - "Kim, Hyoungseop"

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  1. 1

    Low illumination underwater light field images reconstruction using deep convolutional neural networks by Lu, Huimin, Li, Yujie, Uemura, Tomoki, Kim, Hyoungseop, Serikawa, Seiichi

    Published in Future generation computer systems (01-05-2018)
    “…Underwater optical images are usually influenced by low lighting, high turbidity scattering and wavelength absorption. To solve these issues, a great deal of…”
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    Journal Article
  2. 2

    Motor Anomaly Detection for Unmanned Aerial Vehicles Using Reinforcement Learning by Huimin Lu, Yujie Li, Shenglin Mu, Dong Wang, Kim, Hyoungseop, Serikawa, Seiichi

    Published in IEEE internet of things journal (01-08-2018)
    “…Unmanned aerial vehicles (UAVs) are used in many fields including weather observation, farming, infrastructure inspection, and monitoring of disaster areas…”
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    Journal Article
  3. 3

    Underwater Optical Image Processing: a Comprehensive Review by Lu, Huimin, Li, Yujie, Zhang, Yudong, Chen, Min, Serikawa, Seiichi, Kim, Hyoungseop

    Published in Mobile networks and applications (01-12-2017)
    “…Underwater cameras are widely used to observe the sea floor. They are usually included in autonomous underwater vehicles (AUVs), unmanned underwater vehicles…”
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    Journal Article
  4. 4

    Deep-Sea Organisms Tracking Using Dehazing and Deep Learning by Lu, Huimin, Uemura, Tomoki, Wang, Dong, Zhu, Jihua, Huang, Zi, Kim, Hyoungseop

    Published in Mobile networks and applications (01-06-2020)
    “…Deep-sea organism automatic tracking has rarely been studied because of a lack of training data. However, it is extremely important for underwater robots to…”
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    Journal Article
  5. 5

    Visual information processing for deep-sea visual monitoring system by Ma, Chunyan, Li, Xin, Li, Yujie, Tian, Xinliang, Wang, Yichuan, Kim, Hyoungseop, Serikawa, Seiichi

    Published in Cognitive robotics (2021)
    “…Due to the rising demand for minerals and metals, various deep-sea mining systems have been developed for the detection of mines and mine-like objects on the…”
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    Journal Article
  6. 6

    Effect of Initial Grain Size on Friction Stir Weldability for Rolled and Cast CoCrFeMnNi High-Entropy Alloys by Park, Sangwon, Nam, Hyunbin, Na, Youngsang, Kim, Hyoungseop, Moon, Younghoon, Kang, Namhyun

    Published in Metals and materials international (01-05-2020)
    “…This study investigated the influence of the initial grain size on the plastic deformation and tunnel defects that occurred from friction stir welding of…”
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    Journal Article
  7. 7

    Recognition of surrounding environment from electric wheelchair videos based on modified YOLOv2 by Sakai, Yuki, Lu, Huimin, Tan, Joo-Kooi, Kim, Hyoungseop

    Published in Future generation computer systems (01-03-2019)
    “…Currently, the aging population is growing in Japan, and the needs for the utilization of welfare equipment are consequently increasing. The electric…”
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    Journal Article
  8. 8

    Automatic road detection system for an air–land amphibious car drone by Li, Yujie, Lu, Huimin, Nakayama, Yoshiki, Kim, Hyoungseop, Serikawa, Seiichi

    Published in Future generation computer systems (01-08-2018)
    “…In recent years, unmanned aerial vehicle (UAV) technologies have rapidly developed. Drones, which are one type of UAV, are used in many industrial fields, such…”
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    Journal Article
  9. 9

    Correction to: Deep-Sea Organisms Tracking Using Dehazing and Deep Learning by Lu, Huimin, Uemura, Tomoki, Wang, Dong, Zhu, Jihua, Huang, Zi, Kim, Hyoungseop

    Published in Mobile networks and applications (01-12-2020)
    “…The original version of this article unfortunately contained a mistake in the Affiliation section…”
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    Journal Article
  10. 10

    Detection of Circulating Tumor Cells in Fluorescence Microscopy Images Based on ANN Classifier by Tsuji, Kouki, Lu, Huimin, Tan, Joo Kooi, Kim, Hyoungseop, Yoneda, Kazue, Tanaka, Fumihiro

    Published in Mobile networks and applications (01-06-2020)
    “…Circulating tumor cells (CTCs) is a clinical biomarker for cancer metastasis. CTCs are cells circulating in the body of patients by being separated from…”
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    Journal Article
  11. 11

    CT temporal subtraction method for detection of sclerotic bone metastasis in the thoracolumbar spine by Ueno, Midori, Aoki, Takatoshi, Murakami, Seiichi, Kim, Hyoungseop, Terasawa, Takashi, Fujisaki, Akitaka, Hayashida, Yoshiko, Korogi, Yukunori

    Published in European journal of radiology (01-10-2018)
    “…•CT temporal subtraction can improve the detection accuracy of sclerotic bone metastasis.•The use of CT temporal subtraction shortens the reading time.•CT…”
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    Journal Article
  12. 12

    Pilot Study of Visual and Quantitative Image Analysis of Facial Surface Asymmetry in Unilateral Complete Cleft Lip and Palate by Kimura, Namiko, Kim, Hyoungseop, Okawachi, Takako, Fuchigami, Takao, Tezuka, Masahiro, Kibe, Toshiro, Amir, Muhammad Subhan, Inada, Emi, Ishihata, Kiyohide, Nozoe, Etsuro, Nakamura, Norifumi

    Published in The Cleft palate-craniofacial journal (01-08-2019)
    “…Objective: To visualize and quantitatively analyze facial surface asymmetry following primary cleft lip repair in patients with unilateral cleft lip and palate…”
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    Journal Article
  13. 13

    Low-Light Underwater Image Enhancement for Deep-Sea Tripod by Li, Yujie, Li, Jianru, Li, Yun, Kim, Hyoungseop, Serikawa, Seiichi

    Published in IEEE access (2019)
    “…To monitor the sedimentary process and morphological evolution in the South China Sea, free-ascending deep-sea tripod (FDT) has been developed. This FDT was…”
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    Journal Article
  14. 14

    High-quality-guided artificial bee colony algorithm for designing loudspeaker by Gao, Hao, Li, Haolun, Liu, Ye, Lu, Huimin, Kim, Hyoungseop, Pun, Chi-Man

    Published in Neural computing & applications (01-05-2020)
    “…Designing the loudspeaker could be concerned as an optimization problem. Like most electromagnetic device design issues, it demonstrates multimodal,…”
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    Journal Article
  15. 15

    Depth Map Reconstruction for Underwater Kinect Camera Using Inpainting and Local Image Mode Filtering by Huimin Lu, Yin Zhang, Yujie Li, Quan Zhou, Tadoh, Ryunosuke, Uemura, Tomoki, Hyoungseop Kim, Serikawa, Seiichi

    Published in IEEE access (2017)
    “…Underwater optical cameras are widely used for security monitoring in ocean, such as earthquake prediction and tsunami alarming. Optical cameras recognize…”
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    Journal Article
  16. 16

    Temporal subtraction method for lung nodule detection on successive thoracic CT soft-copy images by Aoki, Takatoshi, Murakami, Seiichi, Kim, Hyoungseop, Fujii, Masami, Takahashi, Hiroyuki, Oki, Hodaka, Hayashida, Yoshiko, Katsuragawa, Shigehiko, Shiraishi, Junji, Korogi, Yukunori

    Published in Radiology (01-04-2014)
    “…To assess the effects of a new computed tomographic (CT) temporal subtraction (TS) method on radiologist performance in lung nodule detection on thin-section…”
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    Journal Article
  17. 17

    Moving objects detection employing iterative update of the background by Setyawan, F. X. Arinto, Tan, Joo Kooi, Kim, Hyoungseop, Ishikawa, Seiji

    Published in Artificial life and robotics (01-06-2017)
    “…Detection of objects from a video is one of the basic issues in computer vision study. It is obvious that moving objects detection is particularly important,…”
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    Journal Article
  18. 18

    Temporal analysis for fast motion detection in a crowd by Mudjirahardjo, Panca, Tan, Joo Kooi, Kim, Hyoungseop, Ishikawa, Seiji

    Published in Artificial life and robotics (01-03-2015)
    “…We present a fast motion detection technique in a crowd as an abnormal motion based on optical flow and a motion history image (MHI). Since a camera view is…”
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    Journal Article
  19. 19

    Histogram of DMHI and LBP images to represent human actions by Ahsan, Sk Md Masudul, Joo Kooi Tan, Hyoungseop Kim, Ishikawa, Seiji

    “…Recently, motion history images are used as a decent spatiotemporal template to represent human action. Each human action has its distinctive profile and a…”
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    Conference Proceeding
  20. 20

    Brain Intelligence: Go beyond Artificial Intelligence by Lu, Huimin, Li, Yujie, Chen, Min, Kim, Hyoungseop, Serikawa, Seiichi

    Published in Mobile networks and applications (01-04-2018)
    “…Artificial intelligence (AI) is an important technology that supports daily social life and economic activities. It contributes greatly to the sustainable…”
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    Journal Article