Search Results - "Hou, Mingzheng"

Attention-Based Octave Network for Hyperspectral Image Denoising by Kan, Ziwen, Li, Suhang, Hou, Mingzheng, Fang, Leyuan, Zhang, Yi

“…Inevitable corruption and degeneration make the performance of subsequent high-level semantic tasks in hyperspectral images (HSIs) unsatisfactory. Despite that…”
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LDP-Net: An Unsupervised Pansharpening Network Based on Learnable Degradation Processes by Ni, Jiahui, Shao, Zhimin, Zhang, Zhongzhou, Hou, Mingzheng, Zhou, Jiliu, Fang, Leyuan, Zhang, Yi

“…Pansharpening in remote sensing image aims at acquiring a high-resolution multispectral (HRMS) image directly by fusing a low-resolution multispectral (LRMS)…”
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DerainAttentionGAN: unsupervised single-image deraining using attention-guided generative adversarial networks by Guo, ZhaoKang, Hou, Mingzheng, Sima, Mingjun, Feng, ZiLiang

“…As an important task of computer vision, the single-image deraining (SID) methods tend to supervised learning in the previous research. However, most existing…”
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Traffic signs detection and recognition systems by light-weight multi-stage network by Hou, Mingzheng, Zhang, Xin, Chen, Yang, Dong, Penglin, Feng, Ziliang

“…Traffic sign detection and recognition (TSDR) plays an important role in the fields for assistant driving, autonomous vehicle and so on. However, due to the…”
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Multi-cascaded attention and overlapping part features network for person re-identification by Zhang, Xin, Hou, Mingzheng, Deng, Xiwen, Feng, Ziliang

“…Person re-identification (Person re-ID) is a challenging task in the field of computer vision. Generally, re-ID is regarded as an image retrieval problem; this…”
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Extreme Low-Resolution Activity Recognition Using a Super-Resolution-Oriented Generative Adversarial Network by Hou, Mingzheng, Liu, Song, Zhou, Jiliu, Zhang, Yi, Feng, Ziliang

“…Activity recognition is a fundamental and crucial task in computer vision. Impressive results have been achieved for activity recognition in high-resolution…”
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Semi‐supervised image super‐resolution with attention CycleGAN by Hou, Mingzheng, He, Xudong, Dou, Furong, Zhang, Xin, Guo, Zhaokang, Feng, Ziliang

“…Single‐Image Super‐Resolution (SISR) has always been an important topic in the field of image processing, which attempts to improve the image resolution and is…”
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Action recognition algorithm based on skeletal joint data and adaptive time pyramid by Sima, Mingjun, Hou, Mingzheng, Zhang, Xin, Ding, Jianwei, Feng, Ziliang

“…Human action recognition technology plays an crucial role in the fields of video surveillance, video retrieval, sports medicine and human–computer interaction…”
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Training low dose CT denoising network without high quality reference data by Jing, Jie, Xia, Wenjun, Hou, Mingzheng, Chen, Hu, Liu, Yan, Zhou, Jiliu, Zhang, Yi

“…Currently, the field of low-dose CT (LDCT) denoising is dominated by supervised learning based methods, which need perfectly registered pairs of LDCT and its…”
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M3NAS: Multi-Scale and Multi-Level Memory-Efficient Neural Architecture Search for Low-Dose CT Denoising by Lu, Zexin, Xia, Wenjun, Huang, Yongqiang, Hou, Mingzheng, Chen, Hu, Zhou, Jiliu, Shan, Hongming, Zhang, Yi

“…Lowering the radiation dose in computed tomography (CT) can greatly reduce the potential risk to public health. However, the reconstructed images from…”
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M 3 NAS: Multi-Scale and Multi-Level Memory-Efficient Neural Architecture Search for Low-Dose CT Denoising by Lu, Zexin, Xia, Wenjun, Huang, Yongqiang, Hou, Mingzheng, Chen, Hu, Zhou, Jiliu, Shan, Hongming, Zhang, Yi

“…Lowering the radiation dose in computed tomography (CT) can greatly reduce the potential risk to public health. However, the reconstructed images from…”
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DGRUnit: Dual graph reasoning unit for brain tumor segmentation by Ma, Qihang, Zhou, Siyuan, Li, Chengye, Liu, Feng, Liu, Yan, Hou, Mingzheng, Zhang, Yi

“…Many fully automatic segmentation models have been created to solve the difficulty of brain tumor segmentation, thanks to the rapid growth of deep learning…”
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An adaptive regression based single-image super-resolution by Hou, Mingzheng, Feng, Ziliang, Wang, Haobo, Shen, Zhiwei, Li, Sheng

“…Image super-resolution (SR) is an important topic of low-level computer vision and is widely used in different fields. In this paper, a novel single-image SR…”
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The role of ferroptosis in acute kidney injury: mechanisms and potential therapeutic targets by Yu, Yanxin, Zhang, Lei, Zhang, Die, Dai, Qiangfang, Hou, Mingzheng, Chen, Meini, Gao, Feng, Liu, Xiao-Long

“…Acute kidney injury (AKI) is one of the most common and severe clinical renal syndromes with high morbidity and mortality. Ferroptosis is a form of programmed…”
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IDOL-Net: An Interactive Dual-Domain Parallel Network for CT Metal Artifact Reduction by Wang, Tao, Lu, Zexin, Yang, Ziyuan, Xia, Wenjun, Hou, Mingzheng, Sun, Huaiqiang, Liu, Yan, Chen, Hu, Zhou, Jiliu, Zhang, Yi

“…Due to the presence of metallic implants, the imaging quality of computed tomography (CT) would be heavily degraded. With the rapid development of deep…”
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Unsupervised PET Reconstruction from a Bayesian Perspective by Shen, Chenyu, Xia, Wenjun, Ye, Hongwei, Hou, Mingzheng, Chen, Hu, Liu, Yan, Zhou, Jiliu, Zhang, Yi

“…Positron emission tomography (PET) reconstruction becomes an ill-posed inverse problem due to the low-count projection data (sinogram). In this paper, we…”
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Unsupervised Bayesian PET Reconstruction by Shen, Chenyu, Xia, Wenjun, Ye, Hongwei, Hou, Mingzheng, Chen, Hu, Liu, Yan, Zhou, Jiliu, Zhang, Yi

“…Positron emission tomography (PET) reconstruction has become an ill-posed inverse problem due to low-count projection data, and a robust algorithm is urgently…”
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Low-Dose CT Denoising via Neural Architecture Search by Lu, Zexin, Xia, Wenjun, Huang, Yongqiang, Hou, Mingzheng, Chen, Hu, Shan, Hongming, Zhang, Yi

“…Lowering the radiation dose in computed tomography (CT) can greatly reduce the potential risk to public health. However, the reconstructed images from the…”
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Leaders: Learnable Deep Radial Subsampling for Mri Reconstruction by Wang, Zhiwen, Li, Bowen, Xia, Wenjun, Shen, Chenyu, Hou, Mingzheng, Chen, Hu, Liu, Yan, Zhou, Jiliu, Zhang, Yi

“…Recently, deep learning approaches have shown great promise in learning MRI subsampling. The majority of existing works have focused on optimizing Cartesian or…”
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An Improved Cuckoo Search Algorithm for Multi-Objective Optimization by TIAN Mingzheng HOU Kuolin WANG Zhaowei WAN Zhongping

“…The recently proposed Cuckoo search algorithm is an evolutionary algorithm based on probability. It surpasses other algorithms in solving the multi-modal…”
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