Suha Kwak

Suha Kwak

Pohang University of Science and Technology

Assistant Professor

Department of Computer Science and Engineering

Graduate School of Artificial Intelligence

Research Area

  • #Computer science
  • #Artificial intelligence
  • #Annotation
  • #Stochastic process
  • #Bounding overwatch
  • #Computer vision
  • #Contextual image classification
  • #Convolutional neural network
  • #Data set
  • #Machine learning

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Related papers to
‘ Computer science ‘ : 2

  • Weakly Supervised Learning with Deep Convolutional Neural Networks for Semantic Segmentation Understanding semantic layout of images with minimum human supervision

    2017/11

    7.5 Impact Factor

    21 citations

    Seunghoon Hong, Suha Kwak, Bohyung Han

    DOI : 10.1109/MSP.2017.2742558

    • #Computer science
    • #Artificial intelligence
    • #Computer vision
    • #Machine learning
    • #Segmentation
    • #Data set
    • #Object detection
    • #Convolutional neural network
    • #Contextual image classification
    • #Annotation
    • #Bounding overwatch
    • #Supervised learning

All papers authored by
‘ Suha Kwak ’ : 2

  • Weakly Supervised Learning with Deep Convolutional Neural Networks for Semantic Segmentation Understanding semantic layout of images with minimum human supervision

    2017/11
    IEEE SIGNAL PROCESSING MAGAZINE

    7.5 Impact Factor

    21 citations

    Seunghoon Hong, Suha Kwak, Bohyung Han

    DOI : 10.1109/MSP.2017.2742558

    • #Computer science
    • #Artificial intelligence
    • #Computer vision
    • #Machine learning
    • #Segmentation
    • #Data set
    • #Object detection
    • #Convolutional neural network
    • #Contextual image classification
    • #Annotation
    • #Bounding overwatch
    • #Supervised learning

Related papers to
‘ Computer science ‘ : 2

  • Weakly Supervised Learning with Deep Convolutional Neural Networks for Semantic Segmentation Understanding semantic layout of images with minimum human supervision

    2017/11
    IEEE SIGNAL PROCESSING MAGAZINE

    7.5 Impact Factor

    21 citations

    Seunghoon Hong, Suha Kwak, Bohyung Han

    DOI : 10.1109/MSP.2017.2742558

    • #Computer science
    • #Artificial intelligence
    • #Computer vision
    • #Machine learning
    • #Segmentation
    • #Data set
    • #Object detection
    • #Convolutional neural network
    • #Contextual image classification
    • #Annotation
    • #Bounding overwatch
    • #Supervised learning
  • On-Line Video Event Detection by Constraint Flow

    2014/06
    IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

    5.8 Impact Factor

    9 citations

    Suha Kwak, Bohyung Han, Joon Hee Han

    DOI : 10.1109/TPAMI.2013.245

    • #Computer science
    • #Artificial intelligence
    • #Algorithm
    • #Pattern recognition
    • #Data mining
    • #Probabilistic logic
    • #Optimization problem
    • #Stochastic process
    • #Hidden Markov model
    • #Dynamic programming
    • #Preprocessor
    • #Combinatorial optimization
    • #Composite video

Get access to
Contact information

Log in

All papers authored by
‘ Suha Kwak ’ : 2

  • Weakly Supervised Learning with Deep Convolutional Neural Networks for Semantic Segmentation Understanding semantic layout of images with minimum human supervision

    2017/11
    IEEE SIGNAL PROCESSING MAGAZINE

    7.5 Impact Factor

    21 citations

    Seunghoon Hong, Suha Kwak, Bohyung Han

    DOI : 10.1109/MSP.2017.2742558

    • #Computer science
    • #Artificial intelligence
    • #Computer vision
    • #Machine learning
    • #Segmentation
    • #Data set
    • #Object detection
    • #Convolutional neural network
    • #Contextual image classification
    • #Annotation
    • #Bounding overwatch
    • #Supervised learning
  • On-Line Video Event Detection by Constraint Flow

    2014/06
    IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

    5.8 Impact Factor

    9 citations

    Suha Kwak, Bohyung Han, Joon Hee Han

    DOI : 10.1109/TPAMI.2013.245

    • #Computer science
    • #Artificial intelligence
    • #Algorithm
    • #Pattern recognition
    • #Data mining
    • #Probabilistic logic
    • #Optimization problem
    • #Stochastic process
    • #Hidden Markov model
    • #Dynamic programming
    • #Preprocessor
    • #Combinatorial optimization
    • #Composite video

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