no code implementations • 21 Feb 2024 • Zhenbo Song, Zhenyuan Zhang, Kaihao Zhang, Zhaoxin Fan, Jianfeng Lu
This study delves into the enhancement of Under-Display Camera (UDC) image restoration models, focusing on their robustness against adversarial attacks.
1 code implementation • 1 Aug 2023 • Zhenyuan Zhang, Zhenbo Song, Kaihao Zhang, Wenhan Luo, Zhaoxin Fan, Jianfeng Lu
To the best of our knowledge, these two datasets are the first largest-scale UHD datasets for SIRR.
7 code implementations • 22 May 2023 • Bo Peng, Eric Alcaide, Quentin Anthony, Alon Albalak, Samuel Arcadinho, Stella Biderman, Huanqi Cao, Xin Cheng, Michael Chung, Matteo Grella, Kranthi Kiran GV, Xuzheng He, Haowen Hou, Jiaju Lin, Przemyslaw Kazienko, Jan Kocon, Jiaming Kong, Bartlomiej Koptyra, Hayden Lau, Krishna Sri Ipsit Mantri, Ferdinand Mom, Atsushi Saito, Guangyu Song, Xiangru Tang, Bolun Wang, Johan S. Wind, Stanislaw Wozniak, Ruichong Zhang, Zhenyuan Zhang, Qihang Zhao, Peng Zhou, Qinghua Zhou, Jian Zhu, Rui-Jie Zhu
This work presents a significant step towards reconciling trade-offs between computational efficiency and model performance in sequence processing tasks.
Ranked #22 on Natural Language Inference on WNLI
no code implementations • 12 Mar 2023 • Job Boerma, Aleh Tsyvinski, Ruodu Wang, Zhenyuan Zhang
This paper introduces a labor market model with concave mismatch costs, which arise when firms mitigate the cost of mismatch.
1 code implementation • CVPR 2023 • Zhenbo Song, Zhenyuan Zhang, Kaihao Zhang, Wenhan Luo, Zhaoxin Fan, Wenqi Ren, Jianfeng Lu
This paper addresses the problem of robust deep single-image reflection removal (SIRR) against adversarial attacks.
Ranked #3 on Reflection Removal on Real20
no code implementations • 10 Jan 2022 • Ruodu Wang, Zhenyuan Zhang
We propose a general framework of mass transport between vector-valued measures, which will be called simultaneous optimal transport (SOT).
no code implementations • 10 Jan 2022 • Lingzhi Gao, Zhenyuan Zhang, Chao Wu
While existing federated learning approaches primarily focus on aggregating local models to construct a global model, in realistic settings, some clients may be reluctant to share their private models due to the inclusion of privacy-sensitive information.
no code implementations • 23 Dec 2021 • Shaoshi Sun, Zhenyuan Zhang, BoCheng Huang, Pengbin Lei, Jianlin Su, Shengfeng Pan, Jiarun Cao
The softmax function is widely used in artificial neural networks for the multiclass classification problems, where the softmax transformation enforces the output to be positive and sum to one, and the corresponding loss function allows to use maximum likelihood principle to optimize the model.
no code implementations • 4 Feb 2021 • Xiyue Han, Alexander Schied, Zhenyuan Zhang
We consider a probabilistic approach to compute the Wiener--Young $\Phi$-variation of fractal functions in the Takagi class.
Probability Classical Analysis and ODEs
1 code implementation • 23 Oct 2020 • Sheng Zhong, Zhenyuan Zhang, Nima Fazeli, Dmitry Berenson
We propose an approach to online model adaptation and control in the challenging case of hybrid and discontinuous dynamics where actions may lead to difficult-to-escape "trap" states, under a given controller.