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Saehyun Ahn
Saehyun Ahn
Samsung Advanced Institute of Technology
Verified email at samsung.com
Title
Cited by
Cited by
Year
Towards design methodology of efficient fast algorithms for accelerating generative adversarial networks on FPGAs
JW Chang, S Ahn, KW Kang, SJ Kang
2020 25th Asia and South Pacific Design Automation Conference (ASP-DAC), 283-288, 2020
232020
An efficient accelerator design methodology for deformable convolutional networks
S Ahn, JW Chang, SJ Kang
2020 IEEE International Conference on Image Processing (ICIP), 3075-3079, 2020
202020
TouchNAS: Efficient touch detection model design methodology for resource-constrained devices
S Ahn, JW Chang, HS Yoon, SJ Kang
IEEE Sensors Journal 22 (7), 6784-6792, 2022
42022
P‐217: Late‐News‐Poster: Convolutional Neural Network‐based Multi‐touch Detection Technique on Learning from Class‐imbalanced Dataset
HS Yoon, S Ahn, KW Kang, I Lee, S Park, Y Ma, SJ Kang
SID Symposium Digest of Technical Papers 51 (1), 1867-1870, 2020
42020
Deep learning-based real-time super-resolution architecture design
S Ahn, SJ Kang
Journal of Broadcast Engineering 26 (2), 167-174, 2021
32021
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Articles 1–5