| Dual temperature helps contrastive learning without many negative samples: Towards understanding and simplifying moco C Zhang, K Zhang, TX Pham, A Niu, Z Qiao, CD Yoo, IS Kweon Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 36 | 2022 |
| Ms2net: Multi-scale and multi-stage feature fusion for blurred image super-resolution A Niu, Y Zhu, C Zhang, J Sun, P Wang, IS Kweon, Y Zhang IEEE Transactions on Circuits and Systems for Video Technology 32 (8), 5137-5150, 2022 | 25 | 2022 |
| Decoupled adversarial contrastive learning for self-supervised adversarial robustness C Zhang, K Zhang, C Zhang, A Niu, J Feng, CD Yoo, IS Kweon European Conference on Computer Vision, 725-742, 2022 | 17 | 2022 |
| Non-uniform motion deblurring with blurry component divided guidance P Wang, W Sun, Q Yan, A Niu, R Li, Y Zhu, J Sun, Y Zhang Pattern Recognition 120, 108082, 2021 | 14 | 2021 |
| On the pros and cons of momentum encoder in self-supervised visual representation learning T Pham, C Zhang, A Niu, K Zhang, CD Yoo arXiv preprint arXiv:2208.05744, 2022 | 11 | 2022 |
| Cdpmsr: Conditional diffusion probabilistic models for single image super-resolution A Niu, K Zhang, TX Pham, J Sun, Y Zhu, IS Kweon, Y Zhang 2023 IEEE International Conference on Image Processing (ICIP), 615-619, 2023 | 10 | 2023 |
| Self-supervised visual representation learning via residual momentum TX Pham, A Niu, K Zhang, TJT Jin, JW Hong, CD Yoo IEEE Access, 2023 | 5 | 2023 |
| Self-supervised visual representation learning via residual momentum TX Pham, A Niu, K Zhang, TJT Jin, JW Hong, CD Yoo IEEE Access, 2023 | 5 | 2023 |
| ACDMSR: Accelerated conditional diffusion models for single image super-resolution A Niu, TX Pham, K Zhang, J Sun, Y Zhu, Q Yan, IS Kweon, Y Zhang IEEE Transactions on Broadcasting, 2024 | 4 | 2024 |
| GRAN: ghost residual attention network for single image super resolution A Niu, P Wang, Y Zhu, J Sun, Q Yan, Y Zhang Multimedia Tools and Applications 83 (10), 28505-28522, 2024 | 4 | 2024 |
| Noise augmentation is all you need for FGSM fast adversarial training: Catastrophic overfitting and robust overfitting require different augmentation C Zhang, K Zhang, A Niu, C Zhang, J Feng, CD Yoo, IS Kweon arXiv e-prints, arXiv: 2202.05488, 2022 | 4 | 2022 |
| KGSR: A kernel guided network for real-world blind super-resolution Q Yan, A Niu, C Wang, W Dong, M Woźniak, Y Zhang Pattern Recognition 147, 110095, 2024 | 3 | 2024 |
| KGSR: A kernel guided network for real-world blind super-resolution Q Yan, A Niu, C Wang, W Dong, M Woźniak, Y Zhang Pattern Recognition 147, 110095, 2024 | 3 | 2024 |
| Fast adversarial training with noise augmentation: A unified perspective on randstart and gradalign A Niu, K Zhang, C Zhang, C Zhang, IS Kweon, CD Yoo, Y Zhang arXiv preprint arXiv:2202.05488, 2022 | 3 | 2022 |
| Learning from multi-perception features for real-word image super-resolution A Niu, K Zhang, TX Pham, P Wang, J Sun, IS Kweon, Y Zhang IEEE Transactions on Circuits and Systems for Video Technology, 2024 | 2 | 2024 |
| A Closer Look at Dual Batch Normalization and Two-domain Hypothesis In Adversarial Training With Hybrid Samples C Zhang, K Zhang, C Zhang, A Niu, CD Yoo, IS Kweon | 1 | 2022 |
| Multiple Object Tracking Based on Occlusion-Aware Embedding Consistency Learning Y Hu, A Niu, Y Zhu, Q Yan, J Sun, Y Zhang ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024 | | 2024 |
| Towards Understanding Dual BN In Hybrid Adversarial Training C Zhang, C Zhang, K Zhang, A Niu, J Kim, IS Kweon arXiv preprint arXiv:2403.19150, 2024 | | 2024 |
| Redundant-Coded Masked Grid Pattern for Full-sky Star Identification J Liao, X Wei, A Niu, Y Zhang, I Kweon, C Qi IEEE Transactions on Aerospace and Electronic Systems, 2024 | | 2024 |
| DifAugGAN: A Practical Diffusion-style Data Augmentation for GAN-based Single Image Super-resolution A Niu, K Zhang, JTJ Tee, TX Pham, J Sun, CD Yoo, IS Kweon, Y Zhang arXiv preprint arXiv:2311.18508, 2023 | | 2023 |
In So KweonKAISTkaist.ac.kr의 이메일 확인됨
