no code implementations • 31 May 2024 • Yisu Liu, Jinyang An, Wanqian Zhang, Dayan Wu, Jingzi Gu, Zheng Lin, Weiping Wang
In this paper, we propose DisDiff (Disrupting Diffusion), a novel adversarial attack method to disrupt the diffusion model outputs.
no code implementations • CVPR 2023 • Xiaoshuai Hao, Wanqian Zhang, Dayan Wu, Fei Zhu, Bo Li
To tackle this, we propose a novel method named Dual Alignment Domain Adaptation (DADA).
no code implementations • 17 Oct 2022 • Zexian Yang, Dayan Wu, Wanqian Zhang, Bo Li, Weiping Wang
Specifically, new data collected from new cameras may probably contain an unknown proportion of identities seen before.
1 code implementation • 16 Jun 2022 • Xiaoshuai Hao, Yi Zhu, Srikar Appalaraju, Aston Zhang, Wanqian Zhang, Bo Li, Mu Li
Data augmentation is a necessity to enhance data efficiency in deep learning.
1 code implementation • 15 Dec 2021 • Xiaohua Chen, Yucan Zhou, Dayan Wu, Wanqian Zhang, Yu Zhou, Bo Li, Weiping Wang
Since the covariance matrix of each category represents the feature transformation directions, we can sample new directions from similar categories to generate definitely different instances.
Ranked #50 on Long-tail Learning on CIFAR-10-LT (ρ=10)