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检索条件"机构=Institute of Image processing and Pattern recognition"
1348 条 记 录,以下是151-160 订阅
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A shift-insensitive full reference image quality assessment model based on quadratic sum of gradient magnitude and LOG signals
arXiv
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arXiv 2020年
作者: Chen, Congmin Mou, Xuanqin The Institute of Image Processing and Pattern Recognition Xi’an Jiaotong University Xi’an710049 China
image quality assessment that aims at estimating the subject quality of images, builds models to evaluate the perceptual quality of the image in different applications. Based on the fact that the human visual system (... 详细信息
来源: 评论
Multi-object tracking with pre-classified detection  5th
Multi-object tracking with pre-classified detection
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5th International Conference on Robot Intelligence Technology and Applications, RiTA 2017
作者: Ren, Siqi Zhou, Yue He, Liming Institute of Image Processing and Pattern Recognition Shanghai Jiao Tong University Shanghai China
Tracking-by-detection is a popular tracking framework nowadays. The paradigm determines that detections will bring huge impact on the final tracking result. Based on the idea, to improve the tracking precision, we pro... 详细信息
来源: 评论
SSIM-based CTU-level joint optimal bit allocation and rate distortion optimization
arXiv
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arXiv 2020年
作者: Li, Yang Mou, Xuanqin Institute of Image Processing and Pattern Recognition Xi'an Jiaotong University Xi'an710049 China
Structural similarity (SSIM)-based distortion DSSIM is more consistent with human perception than the traditional mean squared error DMSE. To achieve better video quality, many studies on optimal bit allocation (OBA) ... 详细信息
来源: 评论
Unsupervised Learning of Depth and Pose Based on Monocular Camera and Inertial Measurement Unit (IMU)
Unsupervised Learning of Depth and Pose Based on Monocular C...
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IEEE International Conference on Robotics and Automation (ICRA)
作者: Yanbo Wang Hanwen Yang Jianwei Cai Guangming Wang Jingchuan Wang Yi Huang University of Michigan-Shanghai Jiao Tong University Joint Institute Shanghai Jiao Tong University Shanghai China School of Electronic Information and Electrical Engineering Shanghai Jiao Tong University Shanghai China Institute of Image Processing and Pattern Recognition Shanghai Jiao Tong University Shanghai China Department of Automation Shanghai Jiao Tong University Shanghai China Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai Weitong Vision Technology Co. Ltd.
The main content of the research in this paper is the estimation of depth and pose based on monocular vision and Inertial Measurement Unit (IMU). The usual depth estimation network and pose estimation network require ...
来源: 评论
End-To-End Graph-Based Deep Semi-Supervised Learning with Extended Graph Laplacian
End-To-End Graph-Based Deep Semi-Supervised Learning with Ex...
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Chinese Automation Congress (CAC)
作者: Zihao Wang Enmei Tu Meng Zhou Jie Yang Institute of Image Processing and Pattern Recognition Shanghai Jiao Tong University Shanghai China
The process of labeling samples costs time and resources but unlabeled samples are easier to obtain. Recently, graph-based deep semi-supervised learning (GDSSL) training a deep network using a small number of labeled ... 详细信息
来源: 评论
Radio frequency interference mitigation using pseudoinverse learning autoencoders
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Research in Astronomy and Astrophysics 2020年 第8期20卷 121-128页
作者: Hong-Feng Wang Mao Yuan Qian Yin Ping Guo Wei-Wei Zhu Di Li Si-Bo Feng Image Processing and Pattern Recognition Laboratory School of Artificial IntelligenceBeijing Normal UniversityBeijing 100875China CAS Key Laboratory of FAST National Astronomical ObservatoriesChinese Academy of SciencesBeijing 100101China School of Information Management Dezhou UniversityDezhou 253023China Image Processing and Pattern Recognition Laboratory School of System ScienceBeijing Normal UniversityBeijing 100875China Institute for Astronomical Science Dezhou UniversityDezhou 253023China University of Chinese Academy of Sciences Beijing 100049China Hanvon Technology Co. LtdBeijing 100193China NAOC-UKZN Computational Astrophysics Centre University of KwaZulu-NatalDurban 4000South Africa
Radio frequency interference(RFI)is an important challenge in radio *** comes from various sources and increasingly impacts astronomical observation as telescopes become more *** this study,we propose a fast and effec... 详细信息
来源: 评论
Hierarchical correlation stereo matching network  2nd
Hierarchical correlation stereo matching network
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2nd Chinese Conference on pattern recognition and Computer Vision, PRCV 2019
作者: Chen, Xuliang Zhou, Yue Institute of Image Processing and Pattern Recognition Shanghai Jiao Tong University Shanghai China
Recently, stereo matching from a pair of rectified images has been cast as a supervised learning task using the powerful representation of convolutional neural networks. However, existing methods only utilize last fea... 详细信息
来源: 评论
Diabetic Retinopathy Lesion Segmentation Using Deep Multi-Scale Framework
SSRN
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SSRN 2023年
作者: Guo, Tianjiao Yang, Jie Yu, Qi Institute of Medical Robotics Shanghai Jiao Tong University Shanghai China Institute of Image Processing and Pattern Recognition Department of Automation Shanghai Jiao Tong University Shanghai China School of Biomedical Engineering Shanghai Jiao Tong Univeristy Shanghai China Department of Ophthalmology Shanghai General Hospital Shanghai Jiao Tong University School of Medicine Shanghai China National Clinical Research Center for Eye Diseases Shanghai China
The segmentation of diabetic retinopathy (DR) lesions is important for large-scale screening using color fundus photography (CFP) images. The difficulty of this task is that the DR lesions have various sizes, shapes, ... 详细信息
来源: 评论
An Self-supervised Learning & Self-attention Based Method for Defects Classification on PCB Surface images
An Self-supervised Learning & Self-attention Based Method fo...
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International Conference on Electronics, Communications and Information Technology (CECIT)
作者: Lijie Zhou Xufeng Ling Shan Zhu Zheng Sun Jie Yang AI School Tianhua College Shanghai Normal University Shanghai China ASIC Motor Corporation Limited China Institute of Image Processing and Pattern Recognition Shanghai Jiao tong University China
Automatic detection of PCB defects become a difficult work in electronics industry, with the rapid development of Integrated Circuit. A good detection method can effectively improve production efficiency and reduce th... 详细信息
来源: 评论
Learning with asymmetric kernels: Least squares and feature interpretation
arXiv
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arXiv 2022年
作者: He, Mingzhen He, Fan Shi, Lei Huang, Xiaolin Suykens, Johan A.K. Institute Of Image Processing And Pattern Recognition Shanghai Jiao Tong University Shanghai200240 China Shanghai Key Laboratory For Contemporary Applied Mathematics Fudan University Shanghai200433 China School Of Mathematical Sciences Fudan University Shanghai200433 China KU Leuven LeuvenB-3001 Belgium
Asymmetric kernels naturally exist in real life, e.g., for conditional probability and directed graphs. However, most of the existing kernel-based learning methods require kernels to be symmetric, which prevents the u... 详细信息
来源: 评论