no code implementations • ECCV 2020 • Hongwei Yong, Jianqiang Huang, Deyu Meng, Xian-Sheng Hua, Lei Zhang
To make a deeper understanding of BN, in this work we prove that BN actually introduces a certain level of noise into the sample mean and variance during the training process, while the noise level depends only on the batch size.
1 code implementation • 5 Mar 2024 • Ying Sun, Hongwei Yong, Lei Zhang
Compared with first-order optimizers, it adopts a certain amount of information from the Hessian matrix to assist optimization, while compared with the existing second-order optimizers, it keeps the good generalization performance of first-order optimizers.
1 code implementation • 30 Dec 2023 • Lingchen Sun, Rongyuan Wu, Zhengqiang Zhang, Hongwei Yong, Lei Zhang
To improve the stability of diffusion prior-based SR, we propose to employ the diffusion models to refine image structures, while employing the generative adversarial training to enhance image fine details.
1 code implementation • 24 Dec 2023 • Lingchen Sun, Jie Liang, Shuaizheng Liu, Hongwei Yong, Lei Zhang
High perceptual quality and low distortion degree are two important goals in image restoration tasks such as super-resolution (SR).
no code implementations • 27 Feb 2023 • Shi Guo, Hongwei Yong, Xindong Zhang, jianqi ma, Lei Zhang
In this paper, we propose the spatial-frequency attention network (SFANet) to enhance the network's ability in exploiting long-range dependency.
1 code implementation • CVPR 2023 • Hongwei Yong, Ying Sun, Lei Zhang
Though the full-matrix preconditioned gradient methods theoretically have a lower regret bound, they are impractical for use to train DNNs because of the high complexity.
1 code implementation • 10 Mar 2022 • Hongyi Zheng, Hongwei Yong, Lei Zhang
Nonetheless, the existing deep unfolding methods cannot explicitly solve the data term of the unfolding objective function, limiting their capability in blur kernel estimation.
1 code implementation • CVPR 2021 • Hongyi Zheng, Hongwei Yong, Lei Zhang
Inspired by the great success of deep neural networks (DNNs), many unfolding methods have been proposed to integrate traditional image modeling techniques, such as dictionary learning (DicL) and sparse coding, into DNNs for image restoration.
2 code implementations • 25 Aug 2020 • Zongsheng Yue, Hongwei Yong, Qian Zhao, Lei Zhang, Deyu Meng, Kwan-Yee K. Wong
In this proposed model, a pixel-wise non-i. i. d.
7 code implementations • ECCV 2020 • Hongwei Yong, Jianqiang Huang, Xian-Sheng Hua, Lei Zhang
It has been shown that using the first and second order statistics (e. g., mean and variance) to perform Z-score standardization on network activations or weight vectors, such as batch normalization (BN) and weight standardization (WS), can improve the training performance.
2 code implementations • NeurIPS 2019 • Zongsheng Yue, Hongwei Yong, Qian Zhao, Lei Zhang, Deyu Meng
On one hand, as other data-driven deep learning methods, our method, namely variational denoising network (VDN), can perform denoising efficiently due to its explicit form of posterior expression.
Ranked #11 on Image Denoising on DND
no code implementations • ICCV 2019 • Jianrui Cai, Hui Zeng, Hongwei Yong, Zisheng Cao, Lei Zhang
Most of the existing learning-based single image superresolution (SISR) methods are trained and evaluated on simulated datasets, where the low-resolution (LR) images are generated by applying a simple and uniform degradation (i. e., bicubic downsampling) to their high-resolution (HR) counterparts.
no code implementations • 7 Nov 2018 • Hongwei Yong, Deyu Meng, Jinxing Li, WangMeng Zuo, Lei Zhang
Different from single view case, MSL should take both common and specific knowledge among different views into consideration.
no code implementations • 7 May 2018 • Chen Shen, Guo-Jun Qi, Rongxin Jiang, Zhongming Jin, Hongwei Yong, Yaowu Chen, Xian-Sheng Hua
In this paper, we present novel sharp attention networks by adaptively sampling feature maps from convolutional neural networks (CNNs) for person re-identification (re-ID) problem.
no code implementations • 28 May 2017 • Hongwei Yong, Deyu Meng, WangMeng Zuo, Lei Zhang
We propose an effective online background subtraction method, which can be robustly applied to practical videos that have variations in both foreground and background.
no code implementations • CVPR 2016 • Kede Ma, Qingbo Wu, Zhou Wang, Zhengfang Duanmu, Hongwei Yong, Hongliang Li, Lei Zhang
We first build a database that contains 4, 744 source natural images, together with 94, 880 distorted images created from them.