| Semi-supervsied Learning-based Sound Event Detection using Freuqency Dynamic Convolution with Large Kernel Attention for DCASE Challenge 2023 Task 4 JW Kim, SW Son, Y Song, HK Kim, IH Song, JE Lim arXiv preprint arXiv:2306.06461, 2023 | 24* | 2023 |
| Semi-supervised learning-based sound event detection using frequency-channel-wise selective kernel for DCASE challenge 2022 Task 4 JW Kim, GW Lee, HK Kim, YS Seo, IH Song Detection and Classification of Acoustic Scenes and Events (DCASE) Challenge, 2022 | 7 | 2022 |
| GIST-AiTeR system for the diarization task of the 2022 VoxCeleb speaker recognition challenge D Park, Y Yu, KW Park, JW Kim, HK Kim arXiv preprint arXiv:2209.10357, 2022 | 4 | 2022 |
| Label filtering-based self-learning for sound event detection using frequency dynamic convolution with large kernel attention JW Kim, SW Son, Y Song, HK Kim, IH Song, JE Lim Proc. DCASE, 2023 | 3 | 2023 |
| GIST-AiTeR speaker diarization system for voxceleb speaker recognition challenge (VoxSRC) 2023 D Park, JW Kim, KR Kim, DH Lee, HK Kim arXiv preprint arXiv:2308.07788, 2023 | 2 | 2023 |
| Sound event detection using EfficientNet-B2 with an attentional pyramid network JW Kim, GW Lee, CS Park, HK Kim 2023 IEEE International Conference on Consumer Electronics (ICCE), 1-2, 2023 | 1 | 2023 |
| Sound Event Detection Using Attention and Aggregation-Based Feature Pyramid Network JW Kim, GW Lee, HK Kim, NK Kim 2022 27th Asia Pacific Conference on Communications (APCC), 496-497, 2022 | 1 | 2022 |
| Automatic Generation of Emotional Comments on News-Articles using Sequence-to-Sequence Model CY Park, YH Park, HJ Jeong, JW Kim, YS Choi, KJ Lee Annual Conference on Human and Language Technology, 233-237, 2017 | 1 | 2017 |
Hong Kook KimGwangju Institute of Science and Technology在 gist.ac.kr 的电子邮件经过验证
