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Journal Articles
- 2022
[j3]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): 5220-5231 (2022)- 2020
- [j2]Sangyun Oh, Hye-Jin S. Kim, Jongeun Lee, Junmo Kim:
RRNet: Repetition-Reduction Network for Energy Efficient Depth Estimation. IEEE Access 8: 106097-106108 (2020) - 2017
- [j1]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): 1978-1988 (2017)
Conference and Workshop Papers
- 2022
- [c4]Sangyun Oh, Hyeonuk Sim, Jounghyun Kim, Jongeun Lee:
Non-uniform Step Size Quantization for Accurate Post-training Quantization. ECCV (11) 2022: 658-673 - 2021
- [c3]Sangyun Oh, Hyeonuk Sim, Sugil Lee, Jongeun Lee:
Automated Log-Scale Quantization for Low-Cost Deep Neural Networks. CVPR 2021: 742-751 - 2020
- [c2]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: 1091-1096 - 2017
- [c1]Atul Rahman, Sangyun Oh, Jongeun Lee, Kiyoung Choi:
Design space exploration of FPGA accelerators for convolutional neural networks. DATE 2017: 1147-1152
Informal and Other Publications
- 2019
- [i1]Sangyun Oh, Hye-Jin S. Kim, Jongeun Lee, Junmo Kim:
RRNet: Repetition-Reduction Network for Energy Efficient Decoder of Depth Estimation. CoRR abs/1907.09707 (2019)
Coauthor Index
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