1 code implementation • 17 May 2024 • Yudong Li, Yuhao Feng, Wen Zhou, Zhe Zhao, Linlin Shen, Cheng Hou, Xianxu Hou
Large Language Models (LLMs) have gained significant attention in the field of natural language processing (NLP) due to their wide range of applications.
1 code implementation • 21 Apr 2024 • Haoyan Gong, Yuzheng Feng, Zhenrong Zhang, Xianxu Hou, Jingxin Liu, Siqi Huang, Hongbin Liu
Vehicle license plate recognition is a crucial task in intelligent traffic management systems.
no code implementations • 8 Apr 2024 • Xu Wu, Xianxu Hou, Zhihui Lai, Jie zhou, Ya-nan Zhang, Witold Pedrycz, Linlin Shen
Low-light image enhancement (LLIE) aims to improve low-illumination images.
1 code implementation • CVPR 2023 • Hao Li, Xianxu Hou, Zepeng Huang, Linlin Shen
As cycle-like losses are designed to measure the L_2 distances between the output of Gene Decoder and image encoder, and that between the output of LGE and IGE, only face images are required to train our framework, i. e. no paired kinship face data is required.
1 code implementation • 21 Dec 2022 • Feilong Tang, Qiming Huang, Jinfeng Wang, Xianxu Hou, Jionglong Su, Jingxin Liu
The GLSA has the ability to aggregate and represent both global and local spatial features, which are beneficial for locating large and small objects, respectively.
Ranked #1 on Medical Image Segmentation on 2018 Data Science Bowl
2 code implementations • 25 Mar 2022 • Jinheng Xie, Jianfeng Xiang, Junliang Chen, Xianxu Hou, Xiaodong Zhao, Linlin Shen
While class activation map (CAM) generated by image classification network has been widely used for weakly supervised object localization (WSOL) and semantic segmentation (WSSS), such classifiers usually focus on discriminative object regions.
2 code implementations • 5 Mar 2022 • Jinheng Xie, Xianxu Hou, Kai Ye, Linlin Shen
As only a fixed set of image-level object labels are available to the WSSS (weakly supervised semantic segmentation) model, it could be very difficult to suppress those diverse background regions consisting of open set objects.
no code implementations • 6 Feb 2022 • Xianxu Hou, Linlin Shen, Or Patashnik, Daniel Cohen-Or, Hui Huang
In this paper, we build on the StyleGAN generator, and present a method that explicitly encourages face manipulation to focus on the intended regions by incorporating learned attention maps.
1 code implementation • CVPR 2022 • Jinheng Xie, Jianfeng Xiang, Junliang Chen, Xianxu Hou, Xiaodong Zhao, Linlin Shen
While class activation map (CAM) generated by image classification network has been widely used for weakly supervised object localization (WSOL) and semantic segmentation (WSSS), such classifiers usually focus on discriminative object regions.
no code implementations • CVPR 2022 • Jinheng Xie, Xianxu Hou, Kai Ye, Linlin Shen
As only a fixed set of image-level object labels are available to the WSSS (weakly supervised semantic segmentation) model, it could be very difficult to suppress those diverse background regions consisting of open set objects.
no code implementations • 18 Sep 2021 • Haozhe Liu, Hanbang Liang, Xianxu Hou, Haoqian Wu, Feng Liu, Linlin Shen
Generative Adversarial Networks (GANs) have been widely adopted in various fields.
no code implementations • 7 Jan 2021 • Hongming Luo, Guangsen Liao, Xianxu Hou, Bozhi Liu, Fei Zhou, Guoping Qiu
In this paper, we focus on the problem of translating VHS video to HDTV video and have developed a solution based on a novel unsupervised multi-task adversarial learning model.
no code implementations • 22 Dec 2020 • Xianxu Hou, Xiaokang Zhang, Linlin Shen, Zhihui Lai, Jun Wan
Although significant progress has been made in synthesizing high-quality and visually realistic face images by unconditional Generative Adversarial Networks (GANs), there still lacks of control over the generation process in order to achieve semantic face editing.
no code implementations • 16 Nov 2020 • Jun Wan, Zhihui Lai, Linlin Shen, Jie zhou, Can Gao, Gang Xiao, Xianxu Hou
Moreover, a novel cross-order cross-semantic (COCS) regularizer is designed to drive the network to learn cross-order cross-semantic features from different activation for facial landmark detection.
no code implementations • 10 May 2020 • Xianxu Hou, Jingxin Liu, Bolei Xu, Xiaolong Wang, Bozhi Liu, Guoping Qiu
To improve the adversarial robustness of neural networks, adversarial training has been proposed to train networks by injecting adversarial examples into the training data.
no code implementations • 25 Sep 2019 • Xianxu Hou, Jingxin Liu, Bolei Xu, Bozhi Liu, Xin Chen, Mohammad Ilyas, Ian Ellis, Jon Garibaldi, Guoping Qiu
The extensive experiments and ablation study demonstrate the effectiveness of our approach on the domain adaptive segmentation task.
no code implementations • 4 Jun 2019 • Xianxu Hou, Hongming Luo, Jingxin Liu, Bolei Xu, Ke Sun, Yuanhao Gong, Bozhi Liu, Guoping Qiu
In this paper, we propose an effective image denoising method by learning two image priors from the perspective of domain alignment.
no code implementations • 4 Jun 2019 • Xianxu Hou, Ke Sun, Linlin Shen, Guoping Qiu
We present a new method for improving the performances of variational autoencoder (VAE).
no code implementations • 28 Feb 2019 • Bolei Xu, Jingxin Liu, Xianxu Hou, Bozhi Liu, Jon Garibaldi, Ian O. Ellis, Andy Green, Linlin Shen, Guoping Qiu
In this paper, we present a novel deep hybrid attention approach to breast cancer classification.
no code implementations • 4 Feb 2019 • Wei Liu, Xianxu Hou, Jiang Duan, Guoping Qiu
In addition, we also contribute the first real world nature fog-fogfree image dataset for defogging research.
no code implementations • 29 Jul 2017 • Xianxu Hou, Jiang Duan, Guoping Qiu
Building on crucial insights into the determining factors of the visual integrity of an image and the property of deep convolutional neural network (CNN), we have developed the Deep Feature Consistent Deep Image Transformation (DFC-DIT) framework which unifies challenging one-to-many mapping image processing problems such as image downscaling, decolorization (colour to grayscale conversion) and high dynamic range (HDR) image tone mapping.
no code implementations • 1 Jul 2017 • Xianxu Hou, Guoping Qiu
First, to the best knowledge of the authors, this is the first work that has successfully developed deep learning based solutions to these two traditional low-level image processing problems.
14 code implementations • 2 Oct 2016 • Xianxu Hou, Linlin Shen, Ke Sun, Guoping Qiu
We present a novel method for constructing Variational Autoencoder (VAE).
no code implementations • 7 Sep 2016 • Ke Sun, Xianxu Hou, Qian Zhang, Guoping Qiu
Furthermore, not all tags have the same descriptive power for visual contents and large vocabulary available from natural language could result in a very diverse set of keywords.
no code implementations • 6 Sep 2016 • Xianxu Hou, Ke Sun, Linlin Shen, Guoping Qiu
We present a method for discovering and exploiting object specific deep learning features and use face detection as a case study.