23 citations
- Korea Advanced Institute of Science and TechnologyKR2 papers
- Pohang University of Science and TechnologyKR2 papers
- Busitema UniversityUG1 paper
- Hyundai Mobis (South Korea)KR1 paper
- Korea Research Institute of Standards and ScienceKR1 paper
- Korea University of Science and TechnologyKR1 paper
- Mbarara University of Science and TechnologyUG1 paper
- Norwegian University of Science and TechnologyNO1 paper
- Pohang TechnoPark (South Korea)KR1 paper
- Tongji UniversityCN1 paper
- University of Uyo Teaching HospitalNG1 paper
- Virginia TechUS1 paper
5 papers · 1 filter
Multi-Scale Label Relation Learning for Multi-Label Classification Using 1-Dimensional Convolutional Neural Networks
Junhyung Kim, Byungyoon Park, Charmgil Hong
We present Multi-Scale Label Dependence Relation Networks (MSDN), a novel approach to multi-label classification (MLC) using 1-dimensional convolution kernels to learn label depend…
Fisheye Lens Camera based Autonomous Valet Parking System
Young Gon Jo, Seok Hyeon Hong, Sung Soo Hwang +1
This paper proposes an efficient autonomous valet parking system utilizing only cameras which are the most widely used sensor. To capture more information instantaneously and respo…
Predictive Mutation Analysis via Natural Language Channel in Source Code
Jinhan Kim, Juyoung Jeon, Shin Hong +1
Mutation analysis can provide valuable insights into both System Under Test (SUT) and its test suite. However, it is not scalable due to the cost of building and testing a large nu…
Fast DCTTS: Efficient Deep Convolutional Text-to-Speech
Minsu Kang, Jihyun Lee, Simin Kim +1
We propose an end-to-end speech synthesizer, Fast DCTTS, that synthesizes speech in real time on a single CPU thread. The proposed model is composed of a carefully-tuned lightweigh…
EEG-Inception: An Accurate and Robust End-to-End Neural Network for EEG-based Motor Imagery Classification
Ce Zhang, Young-Keun Kim, Azim Eskandarian
Classification of EEG-based motor imagery (MI) is a crucial non-invasive application in brain-computer interface (BCI) research. This paper proposes a novel convolutional neural ne…