Hyuk-Jae Lee

Hyuk-Jae Lee

Seoul National University

Professor

Department of Electrical and Computer Engineering

Research Area

  • #Computer science
  • #Computer hardware
  • #Algorithm
  • #Computational complexity theory
  • #Artificial intelligence
  • #Encoder
  • #Data compression
  • #Memory management
  • #Computer vision
  • #Algorithm design

Get access to
Contact information

Log in

Related papers to
‘ Computer science ‘ : 50

  • A High-Throughput and Power-Efficient FPGA Implementation of YOLO CNN for Object Detection

    2019/04

    2.0 Impact Factor

    87 citations

    Duy Thanh Nguyen, Tuan Nghia Nguyen, Hyun Kim, Hyuk-Jae Lee

    DOI : 10.1109/TVLSI.2019.2905242

    • #Computer science
    • #Computer hardware
    • #Throughput
    • #Convolutional neural network
    • #Field-programmable gate array
    • #Dram
    • #Auxiliary memory
    • #Electrical efficiency
    • #Dynamic random-access memory
    • #Hardware acceleration

All papers authored by
‘ Hyuk-Jae Lee ’ : 55

  • A High-Throughput and Power-Efficient FPGA Implementation of YOLO CNN for Object Detection

    2019/04
    IEEE TRANSACTIONS ON VERY LARGE SCALE INTEGRATION (VLSI) SYSTEMS

    2.0 Impact Factor

    87 citations

    Duy Thanh Nguyen, Tuan Nghia Nguyen, Hyun Kim, Hyuk-Jae Lee

    DOI : 10.1109/TVLSI.2019.2905242

    • #Computer science
    • #Computer hardware
    • #Throughput
    • #Convolutional neural network
    • #Field-programmable gate array
    • #Dram
    • #Auxiliary memory
    • #Electrical efficiency
    • #Dynamic random-access memory
    • #Hardware acceleration

Related papers to
‘ Computer science ‘ : 50

  • A High-Throughput and Power-Efficient FPGA Implementation of YOLO CNN for Object Detection

    2019/04
    IEEE TRANSACTIONS ON VERY LARGE SCALE INTEGRATION (VLSI) SYSTEMS

    2.0 Impact Factor

    87 citations

    Duy Thanh Nguyen, Tuan Nghia Nguyen, Hyun Kim, Hyuk-Jae Lee

    DOI : 10.1109/TVLSI.2019.2905242

    • #Computer science
    • #Computer hardware
    • #Throughput
    • #Convolutional neural network
    • #Field-programmable gate array
    • #Dram
    • #Auxiliary memory
    • #Electrical efficiency
    • #Dynamic random-access memory
    • #Hardware acceleration
  • A High-Throughput Hardware Design of a One-Dimensional SPIHT Algorithm

    2016/03
    IEEE TRANSACTIONS ON MULTIMEDIA

    3.5 Impact Factor

    15 citations

    Sunwoong Kim, Donghyeon Lee, Jin-Sung Kim, Hyuk-Jae Lee

    DOI : 10.1109/TMM.2015.2514196

    • #Computer science
    • #Computer hardware
    • #Parallel computing
    • #Encoder
    • #Algorithm design
    • #Data compression
    • #Memory management
    • #Compression ratio
    • #Context-adaptive binary arithmetic coding
    • #Data compression ratio
    • #Set partitioning in hierarchical trees

Get access to
Contact information

Log in

All papers authored by
‘ Hyuk-Jae Lee ’ : 55

  • A High-Throughput and Power-Efficient FPGA Implementation of YOLO CNN for Object Detection

    2019/04
    IEEE TRANSACTIONS ON VERY LARGE SCALE INTEGRATION (VLSI) SYSTEMS

    2.0 Impact Factor

    87 citations

    Duy Thanh Nguyen, Tuan Nghia Nguyen, Hyun Kim, Hyuk-Jae Lee

    DOI : 10.1109/TVLSI.2019.2905242

    • #Computer science
    • #Computer hardware
    • #Throughput
    • #Convolutional neural network
    • #Field-programmable gate array
    • #Dram
    • #Auxiliary memory
    • #Electrical efficiency
    • #Dynamic random-access memory
    • #Hardware acceleration
  • A High-Throughput Hardware Design of a One-Dimensional SPIHT Algorithm

    2016/03
    IEEE TRANSACTIONS ON MULTIMEDIA

    3.5 Impact Factor

    15 citations

    Sunwoong Kim, Donghyeon Lee, Jin-Sung Kim, Hyuk-Jae Lee

    DOI : 10.1109/TMM.2015.2514196

    • #Computer science
    • #Computer hardware
    • #Parallel computing
    • #Encoder
    • #Algorithm design
    • #Data compression
    • #Memory management
    • #Compression ratio
    • #Context-adaptive binary arithmetic coding
    • #Data compression ratio
    • #Set partitioning in hierarchical trees

Get access to Contact information

Log in
scholarship

Are you Thesis Advisor?
Register and Get Benefits from PhD.GO!

Learn more

Blog

Learn more about scholarship of
Seoul National University

Learn more