Junmo Kim

Junmo Kim

Korea Advanced Institute of Science and Technology

Associate Professor

School of Electrical Engineering

Research Area

  • #Artificial intelligence
  • #Computer science
  • #Pattern recognition
  • #Computer vision
  • #Artificial neural network
  • #Mathematics
  • #Feature extraction
  • #Deep learning
  • #Machine learning
  • #Facial recognition system

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Related papers to
‘ Artificial intelligence ‘ : 30

  • Salient Region Detection via High-Dimensional Color Transform and Local Spatial Support

    2016/01

    4.8 Impact Factor

    121 citations

    Jiwhan Kim, Dongyoon Han, Yu-Wing Tai, Jun-Mo Kim

    DOI : 10.1109/TIP.2015.2495122

    • #Computer science
    • #Artificial intelligence
    • #Computer vision
    • #Pattern recognition
    • #Histogram
    • #Feature vector
    • #Salient
    • #Linear combination
    • #Color space
    • #Salience (neuroscience)
    • #Color histogram
    • #Color quantization

All papers authored by
‘ Junmo Kim ’ : 34

  • Salient Region Detection via High-Dimensional Color Transform and Local Spatial Support

    2016/01
    IEEE TRANSACTIONS ON IMAGE PROCESSING

    4.8 Impact Factor

    121 citations

    Jiwhan Kim, Dongyoon Han, Yu-Wing Tai, Jun-Mo Kim

    DOI : 10.1109/TIP.2015.2495122

    • #Computer science
    • #Artificial intelligence
    • #Computer vision
    • #Pattern recognition
    • #Histogram
    • #Feature vector
    • #Salient
    • #Linear combination
    • #Color space
    • #Salience (neuroscience)
    • #Color histogram
    • #Color quantization

Related papers to
‘ Artificial intelligence ‘ : 30

  • Salient Region Detection via High-Dimensional Color Transform and Local Spatial Support

    2016/01
    IEEE TRANSACTIONS ON IMAGE PROCESSING

    4.8 Impact Factor

    121 citations

    Jiwhan Kim, Dongyoon Han, Yu-Wing Tai, Jun-Mo Kim

    DOI : 10.1109/TIP.2015.2495122

    • #Computer science
    • #Artificial intelligence
    • #Computer vision
    • #Pattern recognition
    • #Histogram
    • #Feature vector
    • #Salient
    • #Linear combination
    • #Color space
    • #Salience (neuroscience)
    • #Color histogram
    • #Color quantization
  • Differentiation of fat‐poor angiomyolipoma from clear cell renal cell carcinoma in contrast‐enhanced MDCT images using quantitative feature classification

    2017/07
    MEDICAL PHYSICS

    2.9 Impact Factor

    29 citations

    Han Sang Lee, Helen Hong, Dae Chul Jung, Seunghyun Park, Jun-Mo Kim

    DOI : 10.1002/MP.12258

    • #Computer science
    • #Artificial intelligence
    • #Pattern recognition
    • #Support vector machine
    • #Histogram
    • #Feature selection
    • #k-nearest neighbors algorithm
    • #Random forest
    • #Cross-validation
    • #Feature (computer vision)
    • #Local binary patterns

Get access to
Contact information

Log in

All papers authored by
‘ Junmo Kim ’ : 34

  • Salient Region Detection via High-Dimensional Color Transform and Local Spatial Support

    2016/01
    IEEE TRANSACTIONS ON IMAGE PROCESSING

    4.8 Impact Factor

    121 citations

    Jiwhan Kim, Dongyoon Han, Yu-Wing Tai, Jun-Mo Kim

    DOI : 10.1109/TIP.2015.2495122

    • #Computer science
    • #Artificial intelligence
    • #Computer vision
    • #Pattern recognition
    • #Histogram
    • #Feature vector
    • #Salient
    • #Linear combination
    • #Color space
    • #Salience (neuroscience)
    • #Color histogram
    • #Color quantization
  • Differentiation of fat‐poor angiomyolipoma from clear cell renal cell carcinoma in contrast‐enhanced MDCT images using quantitative feature classification

    2017/07
    MEDICAL PHYSICS

    2.9 Impact Factor

    29 citations

    Han Sang Lee, Helen Hong, Dae Chul Jung, Seunghyun Park, Jun-Mo Kim

    DOI : 10.1002/MP.12258

    • #Computer science
    • #Artificial intelligence
    • #Pattern recognition
    • #Support vector machine
    • #Histogram
    • #Feature selection
    • #k-nearest neighbors algorithm
    • #Random forest
    • #Cross-validation
    • #Feature (computer vision)
    • #Local binary patterns

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