Bohyung Han

Bohyung Han

Seoul National University

Associate Professor

Department of Electrical and Computer Engineering

Research Area

  • #Computer science
  • #Artificial intelligence
  • #Pattern recognition
  • #Computer vision
  • #Machine learning
  • #Object detection
  • #Contextual image classification
  • #Data mining
  • #Algorithm
  • #Stochastic process

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Related papers to
‘ Computer science ‘ : 6

  • Joint Image Clustering and Labeling by Matrix Factorization

    2016/07

    8.3 Impact Factor

    33 citations

    Seunghoon Hong, Jonghyun Choi, Jan Feyereisl, Bohyung Han, Larry S. Davis

    DOI : 10.1109/TPAMI.2015.2487982

    • #Computer science
    • #Artificial intelligence
    • #Pattern recognition
    • #Cluster analysis
    • #Feature extraction
    • #Visualization
    • #Contextual image classification
    • #Discriminative model
    • #Orthogonality
    • #Sparse matrix
    • #Matrix decomposition

All papers authored by
‘ Bohyung Han ’ : 6

  • Joint Image Clustering and Labeling by Matrix Factorization

    2016/07
    IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

    8.3 Impact Factor

    33 citations

    Seunghoon Hong, Jonghyun Choi, Jan Feyereisl, Bohyung Han, Larry S. Davis

    DOI : 10.1109/TPAMI.2015.2487982

    • #Computer science
    • #Artificial intelligence
    • #Pattern recognition
    • #Cluster analysis
    • #Feature extraction
    • #Visualization
    • #Contextual image classification
    • #Discriminative model
    • #Orthogonality
    • #Sparse matrix
    • #Matrix decomposition

Related papers to
‘ Computer science ‘ : 6

  • Joint Image Clustering and Labeling by Matrix Factorization

    2016/07
    IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

    8.3 Impact Factor

    33 citations

    Seunghoon Hong, Jonghyun Choi, Jan Feyereisl, Bohyung Han, Larry S. Davis

    DOI : 10.1109/TPAMI.2015.2487982

    • #Computer science
    • #Artificial intelligence
    • #Pattern recognition
    • #Cluster analysis
    • #Feature extraction
    • #Visualization
    • #Contextual image classification
    • #Discriminative model
    • #Orthogonality
    • #Sparse matrix
    • #Matrix decomposition
  • 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

Get access to
Contact information

Log in

All papers authored by
‘ Bohyung Han ’ : 6

  • Joint Image Clustering and Labeling by Matrix Factorization

    2016/07
    IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

    8.3 Impact Factor

    33 citations

    Seunghoon Hong, Jonghyun Choi, Jan Feyereisl, Bohyung Han, Larry S. Davis

    DOI : 10.1109/TPAMI.2015.2487982

    • #Computer science
    • #Artificial intelligence
    • #Pattern recognition
    • #Cluster analysis
    • #Feature extraction
    • #Visualization
    • #Contextual image classification
    • #Discriminative model
    • #Orthogonality
    • #Sparse matrix
    • #Matrix decomposition
  • 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

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