Sangyun Oh

Publication Activity (10 Years)

Years Active: 2017-2022
Publications (10 Years): 8

Top Topics

Depth Estimation

Energy Efficient

Efficient Execution

Top Venues

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.

Publications

Jooyeon Choi, Hyeonuk Sim, Sangyun Oh, Sugil Lee, Jongeun Lee
MLogNet: A Logarithmic Quantization-Based Accelerator for Depthwise Separable Convolution. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41 (12) (2022)
Sangyun Oh, Hyeonuk Sim, Jounghyun Kim, Jongeun Lee
Non-uniform Step Size Quantization for Accurate Post-training Quantization. ECCV (11) (2022)
Sangyun Oh, Hyeonuk Sim, Sugil Lee, Jongeun Lee
Automated Log-Scale Quantization for Low-Cost Deep Neural Networks. CVPR (2021)
Yesung Kang, Yoonho Park, Sunghoon Kim, Eunji Kwon, Taeho Lim, Sangyun Oh, Mingyu Woo, Seokhyeong Kang
Analysis and Solution of CNN Accuracy Reduction over Channel Loop Tiling. DATE (2020)
Sangyun Oh, Hye-Jin S. Kim, Jongeun Lee, Junmo Kim
RRNet: Repetition-Reduction Network for Energy Efficient Depth Estimation. IEEE Access 8 (2020)
Sangyun Oh, Hye-Jin S. Kim, Jongeun Lee, Junmo Kim
RRNet: Repetition-Reduction Network for Energy Efficient Decoder of Depth Estimation. CoRR (2019)
Atul Rahman, Sangyun Oh, Jongeun Lee, Kiyoung Choi
Design space exploration of FPGA accelerators for convolutional neural networks. DATE (2017)
Sangyun Oh, Hongsik Lee, Jongeun Lee
Efficient Execution of Stream Graphs on Coarse-Grained Reconfigurable Architectures. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 36 (12) (2017)