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Automated Log-Scale Quantization for Low-Cost Deep Neural Networks File

Oh, Sangyun , Sim, Hyeonuk , Lee, Sugil , Lee, Jongeun

Conference Paper Issue Date2021-06-20 View23
Design Space Exploration of FPGA Accelerators for Convolutional Neural Networks File

Rahman, Atul , Oh, Sangyun , Lee, Jongeun , Choi, Kiyoung

Conference Paper Issue Date2017-03-27 View47
Efficient Execution of Stream Graphs on Coarse-Grained Reconfigurable Architectures File

Oh, Sangyun , Lee, Hongsik , Lee, Jongeun

Article Issue Date2017-12 View42
Hardware-Friendly Compression Methods for Low-Cost Deep Neural Networks File File

Oh, Sangyun

Thesis Issue Date2022-08 View28
MLogNet: A Logarithmic Quantization-Based Accelerator for Depthwise Separable Convolution File

Choi, Jooyeon , Sim, Hyeonuk , Oh, Sangyun , Lee, Sugil , Lee, Jongeun

Article Issue Date2022-12 View118
Non-Uniform Step Size Quantization for Accurate Post-Training Quantization

Oh, Sangyun , Sim, Hyeonuk , Kim, Jounghyun , Lee, Jongeun

Conference Paper Issue Date2022-10-23 View29
RRNet: Repetition-Reduction Network for Energy Efficient Depth Estimation File File

Oh, Sangyun , Kim, Hye-Jin S. , Lee, Jongeun , Kim, Junmo

Article Issue Date2020-06 View41
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