| Attention-LSTM-attention model for speech emotion recognition and analysis of IEMOCAP database Y Yu, YJ Kim Electronics 9 (5), 713, 2020 | 67 | 2020 |
| Robust skin disease classification by distilling deep neural network ensemble for the mobile diagnosis of herpes zoster S Back, S Lee, S Shin, Y Yu, T Yuk, S Jong, S Ryu, K Lee IEEE Access 9, 20156-20169, 2021 | 32 | 2021 |
| Block selection method for using feature norm in out-of-distribution detection Y Yu, S Shin, S Lee, C Jun, K Lee Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 21 | 2023 |
| Teaching where to look: Attention similarity knowledge distillation for low resolution face recognition S Shin, J Lee, J Lee, Y Yu, K Lee European Conference on Computer Vision, 631-647, 2022 | 16 | 2022 |
| Self-supervised transfer learning from natural images for sound classification S Shin, J Kim, Y Yu, S Lee, K Lee Applied Sciences 11 (7), 3043, 2021 | 15 | 2021 |
| Multiple classification with split learning J Kim, S Shin, Y Yu, J Lee, K Lee The 9th International Conference on Smart Media and Applications, 358-363, 2020 | 11 | 2020 |
| Two-dimensional attention-based LSTM model for stock index prediction Y Yu, YJ Kim Journal of Information Processing Systems 15 (5), 1231-1242, 2019 | 11 | 2019 |
| Sleepyco: Automatic sleep scoring with feature pyramid and contrastive learning S Lee, Y Yu, S Back, H Seo, K Lee Expert Systems with Applications 240, 122551, 2024 | 10 | 2024 |
| A voice activity detection model composed of bidirectional lstm and attention mechanism Y Yu, YJ Kim 2018 IEEE 10th International Conference on Humanoid, Nanotechnology …, 2018 | 6 | 2018 |
| Enhancing low-resolution face recognition with feature similarity knowledge distillation S Shin, Y Yu, K Lee arXiv preprint arXiv:2303.04681, 2023 | 1 | 2023 |
| Domain-Specific Block Selection and Paired-View Pseudo-Labeling for Online Test-Time Adaptation Y Yu, S Shin, S Back, M Ko, S Noh, K Lee arXiv preprint arXiv:2404.10966, 2024 | | 2024 |
| Exploring using jigsaw puzzles for out-of-distribution detection Y Yu, S Shin, M Ko, K Lee Computer Vision and Image Understanding, 103968, 2024 | | 2024 |
| Out-of-Distribution Detection in Hand Gesture Recognition Using Image Augmentation H Lee, Y Yu, K Lee International Conference on Intelligent Autonomous Systems, 595-605, 2023 | | 2023 |
| Calculating Class-Wise Weighted Feature Norm for Detecting Out-of-Distribution Samples Y Yu, S Shin, K Lee 2023 20th International Conference on Ubiquitous Robots (UR), 974-979, 2023 | | 2023 |
| Selection of Class-conditional Filters for Semantic Shifted OOD Detection Y Yu, S Shin, J Kim, K Lee 2021 18th International Conference on Ubiquitous Robots (UR), 43-47, 2021 | | 2021 |
| 주가 예측을 위한 어텐션 메커니즘의 비교분석 유연국， 천용상， 조민희， 김윤중 한국정보처리학회 학술대회논문집 26 (2), 844-847, 2019 | | 2019 |
| Comparison and Analysis of the Attention Mechanism for Stock Prediction Y Yu, Y Cheon, MH Cho, YJ Kim Proceedings of the Korea Information Processing Society Conference, 844-847, 2019 | | 2019 |
Kyoobin LeeGwangju Institute of Science and Technology (GIST)Verified email at gist.ac.kr
