Sanghoon Hong
Sanghoon Hong
KakaoBrain
Verified email at kakaobrain.com - Homepage
Title
Cited by
Cited by
Year
PVANet: Lightweight Deep Neural Networks for Real-time Object Detection
S Hong, B Roh, KH Kim, Y Cheon, M Park
arXiv preprint arXiv:1611.08588, 2016
240*2016
A hierarchical self-repairing architecture for fast fault recovery of digital systems inspired from paralogous gene regulatory circuits
S Kim, H Chu, I Yang, S Hong, SH Jung, KH Cho
IEEE Transactions on Very Large Scale Integration (VLSI) Systems 20 (12 …, 2011
362011
Technologies for improved object detection accuracy with multi-scale representation and training
B Roh, K Kim, S Hong, M Park, Y Cheon
US Patent 10,262,237, 2019
122019
Task Agnostic Robust Learning on Corrupt Outputs by Correlation-Guided Mixture Density Networks
S Choi, S Hong, K Lee, S Lim
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
10*2020
A Body Part Embedding Model With Datasets for Measuring 2D Human Motion Similarity
J Park, S Cho, D Kim, O Bailo, H Park, S Hong, J Park
IEEE Access 9, 36547-36558, 2021
2021
HintPose
S Hong, H Park, J Park, S Cho, H Park
arXiv preprint arXiv:2003.02170, 2020
2020
Neuronal Feedback Circuit as a Frequency Tuner for Selective Communication
D Shin, SM Park, S Hong, KH Cho
12th Int. Conf. on Systems Biology (ICSB2011), 2011
2011
Supplementary Material for Task Agnostic Robust Learning on Corrupt Outputs by Correlation-Guided Mixture Density Networks
S Choi, K Brain, S Hong, K Lee, S Lim
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