How does simsiam avoid collapse without negative samples? a unified understanding with self-supervised contrastive learning C Zhang, K Zhang, C Zhang, TX Pham, CD Yoo, IS Kweon arXiv preprint arXiv:2203.16262, 2022 | 75 | 2022 |
A survey on masked autoencoder for self-supervised learning in vision and beyond C Zhang, C Zhang, J Song, JSK Yi, K Zhang, IS Kweon arXiv preprint arXiv:2208.00173, 2022 | 69 | 2022 |
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 | 49 | 2022 |
Investigating top-k white-box and transferable black-box attack C Zhang, P Benz, A Karjauv, JW Cho, K Zhang, IS Kweon Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 39 | 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 | 20 | 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 arXiv preprint arXiv:2302.12831, 2023 | 15 | 2023 |
Temporal-range-doppler features interpretation and recognition of hand gestures using MmW FMCW radar sensors G Zhang, S Lan, K Zhang, L Ye 2020 14th European conference on antennas and propagation (EuCAP), 1-4, 2020 | 15 | 2020 |
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 | 13 | 2022 |
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 | 11 | 2024 |
On the effect of training convolution neural network for millimeter-wave radar-based hand gesture recognition K Zhang, S Lan, G Zhang Sensors 21 (1), 259, 2021 | 11 | 2021 |
Self-supervised visual representation learning via residual momentum TX Pham, A Niu, K Zhang, TJT Jin, JW Hong, CD Yoo IEEE Access, 2023 | 6 | 2023 |
A survey on masked autoencoder for self-supervised learning in vision and beyond. arXiv 2022 C Zhang, C Zhang, J Song, JSK Yi, K Zhang, IS Kweon arXiv preprint arXiv:2208.00173, 0 | 5 | |
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 | 4 | 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 | 4 | 2022 |
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 |
How does Simsiam avoid collapse without negative samples? Towards a unified understanding of progress in SSL C Zhang, K Zhang, CD Yoo, IS Kweon The International Conference on Learning Representations, ICLR 2022, 2022 | 4 | 2022 |
Mining spatio-temporal features from mmW radar echoes for hand gesture recognition Z Kang, L Shengchang, Z Guiyuan 2019 IEEE Asia-Pacific Microwave Conference (APMC), 93-95, 2019 | 4 | 2019 |
Understanding and improving group normalization A Gunawan, X Yin, K Zhang arXiv preprint arXiv:2207.01972, 2022 | 3 | 2022 |
Early Stop And Adversarial Training Yield Better surrogate Model: Very Non-Robust Features Harm Adversarial Transferability C Zhang, G Cho, P Benz, K Zhang, C Zhang, CH Youn, IS Kweon | 2 | 2021 |
Applying mmWave Radar Sensors to Vocabulary-Level Dynamic Chinese Sign Language Recognition for the Community With Deafness and Hearing Loss S Lan, L Ye, K Zhang IEEE Sensors Journal, 2023 | 1 | 2023 |