| Combinational class activation maps for weakly supervised object localization S Yang, Y Kim, Y Kim, C Kim Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2020 | 88 | 2020 |
| QTI submission to DCASE 2021: Residual normalization for device-imbalanced acoustic scene classification with efficient design B Kim, S Yang, J Kim, S Chang DCASE2021 challenge, 2022 | 73 | 2022 |
| Robust federated learning with noisy labels S Yang, H Park, J Byun, C Kim IEEE Intelligent Systems 37 (2), 35-43, 2022 | 71 | 2022 |
| Improving Test-Time Adaptation via Shift-agnostic Weight Regularization and Nearest Source Prototypes S Choi, S Yang, S Choi, S Yun European Conference on Computer Vision (ECCV), 2022 | 43 | 2022 |
| The Korean sign language dataset for action recognition S Yang, S Jung, H Kang, C Kim International conference on multimedia modeling, 532-542, 2019 | 23 | 2019 |
| Domain Generalization with Relaxed Instance Frequency-wise Normalization for Multi-device Acoustic Scene Classification B Kim, S Yang, J Kim, H Park, J Lee, S Chang Proceedings of the INTERSPEECH, 2022 | 21 | 2022 |
| Domain Generalization on Efficient Acoustic Scene Classification using Residual Normalization B Kim, S Yang, J Kim, S Chang Proceedings of the Detection and Classification of Acoustic Scenes and …, 2021 | 20 | 2021 |
| Progressive Random Convolutions for Single Domain Generalization S Choi, D Das, S Choi, S Yang, H Park, S Yun The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023 | 15 | 2023 |
| Dummy Prototypical Networks for Few-Shot Open-Set Keyword Spotting B Kim, S Yang, I Chung, S Chang Proceedings of the INTERSPEECH, 2022 | 11 | 2022 |
| Label Shift Adapter for Test-Time Adaptation under Covariate and Label Shifts S Park, S Yang, J Choo, S Yun International Conference on Computer Vision (ICCV), 2023 | 7 | 2023 |
| Domain Agnostic Few-shot Learning for Speaker Verification S Yang, D Das, J Cho, H Park, S Yun Proceedings of the INTERSPEECH, 2022 | 7 | 2022 |
| Associative partial domain adaptation Y Kim, S Hong, S Yang, S Kang, Y Jeon, J Kim arXiv preprint arXiv:2008.03111, 2020 | 7 | 2020 |
| Personalized Keyword Spotting through Multi-task Learning S Yang, B Kim, I Chung, S Chang Proceedings of the INTERSPEECH, 2022 | 6 | 2022 |
| Arbitrary style transfer using graph instance normalization D Jung, S Yang, J Choi, C Kim 2020 IEEE International Conference on Image Processing (ICIP), 1596-1600, 2020 | 6 | 2020 |
| Distribution Estimation to Automate Transformation Policies for Self-Supervision S Yang, D Das, S Chang, S Yun, F Porikli NeurIPS 2021 Workshop, 2021 | 5 | 2021 |
| Partial domain adaptation using graph convolutional networks S Yang, Y Kim, D Jung, C Kim arXiv preprint arXiv:2005.07858, 2020 | 4 | 2020 |
| Towards robust domain generalization in 2d neural audio processing B Kim, S Yang, J Kim, H Park, JT Lee, S Chang | 3 | 2021 |
| Client-agnostic Learning and Zero-shot Adaptation for Federated Domain Generalization S Yang, S Choi, H Park, S Choi, S Chang, S Yun | 2* | 2023 |
| Scalable Weight Reparametrization for Efficient Transfer Learning B Kim, JT Lee, S Yang, S Chang IEEE International Conference on Acoustics, Speech, and Signal Processing …, 2023 | 1 | 2023 |
| Neural transformation network to generate diverse views for contrastive learning T Kim, D Das, S Choi, M Jeong, S Yang, S Yun, C Kim Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 1 | 2023 |
Simyung ChangQualcomm AI research在 qti.qualcomm.com 的电子邮件经过验证
