Search

Your search keyword '"Yang, Gongping"' showing total 343 results
Start Over Author "Yang, Gongping" Publication Year Range Last 50 years
343 results on '"Yang, Gongping"'

1. Local-Global Transformer Enhanced Unfolding Network for Pan-sharpening

Author

Li, Mingsong, Liu, Yikun, Xiao, Tao, Huang, Yuwen, and Yang, Gongping

Subjects
Computer Science - Computer Vision and Pattern Recognition, Electrical Engineering and Systems Science - Image and Video Processing
Abstract

Pan-sharpening aims to increase the spatial resolution of the low-resolution multispectral (LrMS) image with the guidance of the corresponding panchromatic (PAN) image. Although deep learning (DL)-based pan-sharpening methods have achieved promising performance, most of them have a two-fold deficiency. For one thing, the universally adopted black box principle limits the model interpretability. For another thing, existing DL-based methods fail to efficiently capture local and global dependencies at the same time, inevitably limiting the overall performance. To address these mentioned issues, we first formulate the degradation process of the high-resolution multispectral (HrMS) image as a unified variational optimization problem, and alternately solve its data and prior subproblems by the designed iterative proximal gradient descent (PGD) algorithm. Moreover, we customize a Local-Global Transformer (LGT) to simultaneously model local and global dependencies, and further formulate an LGT-based prior module for image denoising. Besides the prior module, we also design a lightweight data module. Finally, by serially integrating the data and prior modules in each iterative stage, we unfold the iterative algorithm into a stage-wise unfolding network, Local-Global Transformer Enhanced Unfolding Network (LGTEUN), for the interpretable MS pan-sharpening. Comprehensive experimental results on three satellite data sets demonstrate the effectiveness and efficiency of LGTEUN compared with state-of-the-art (SOTA) methods. The source code is available at https://github.com/lms-07/LGTEUN., Comment: Accepted by IJCAI2023

Published
2023

2. Robust Ellipsoid Fitting Using Axial Distance and Combination

Author

Han, Min, Kan, Jiangming, Yang, Gongping, and Li, Xinghui

Subjects
Computer Science - Computer Vision and Pattern Recognition
Abstract

In random sample consensus (RANSAC), the problem of ellipsoid fitting can be formulated as a problem of minimization of point-to-model distance, which is realized by maximizing model score. Hence, the performance of ellipsoid fitting is affected by distance metric. In this paper, we proposed a novel distance metric called the axial distance, which is converted from the algebraic distance by introducing a scaling factor to solve nongeometric problems of the algebraic distance. There is complementarity between the axial distance and Sampson distance because their combination is a stricter metric when calculating the model score of sample consensus and the weight of the weighted least squares (WLS) fitting. Subsequently, a novel sample-consensus-based ellipsoid fitting method is proposed by using the combination between the axial distance and Sampson distance (CAS). We compare the proposed method with several representative fitting methods through experiments on synthetic and real datasets. The results show that the proposed method has a higher robustness against outliers, consistently high accuracy, and a speed close to that of the method based on sample consensus., Comment: 13 pages

Published
2023

3. DRNet: Decomposition and Reconstruction Network for Remote Physiological Measurement

Author

Dong, Yuhang, Yang, Gongping, and Yin, Yilong

Subjects
Computer Science - Human-Computer Interaction, Computer Science - Computer Vision and Pattern Recognition, Electrical Engineering and Systems Science - Image and Video Processing
Abstract

Remote photoplethysmography (rPPG) based physiological measurement has great application values in affective computing, non-contact health monitoring, telehealth monitoring, etc, which has become increasingly important especially during the COVID-19 pandemic. Existing methods are generally divided into two groups. The first focuses on mining the subtle blood volume pulse (BVP) signals from face videos, but seldom explicitly models the noises that dominate face video content. They are susceptible to the noises and may suffer from poor generalization ability in unseen scenarios. The second focuses on modeling noisy data directly, resulting in suboptimal performance due to the lack of regularity of these severe random noises. In this paper, we propose a Decomposition and Reconstruction Network (DRNet) focusing on the modeling of physiological features rather than noisy data. A novel cycle loss is proposed to constrain the periodicity of physiological information. Besides, a plug-and-play Spatial Attention Block (SAB) is proposed to enhance features along with the spatial location information. Furthermore, an efficient Patch Cropping (PC) augmentation strategy is proposed to synthesize augmented samples with different noise and features. Extensive experiments on different public datasets as well as the cross-database testing demonstrate the effectiveness of our approach.

Published
2022

5. Ensemble Deep Learning Based Single Finger-Vein Recognition

Author

Liu, Chongwen, Qin, Huafeng, Yang, Gongping, Shen, Zhengwen, Wang, Jun, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Sun, Fuchun, editor, Hu, Dewen, editor, Wermter, Stefan, editor, Yang, Lei, editor, Liu, Huaping, editor, and Fang, Bin, editor

Published
2022
Full Text
View/download PDF

6. Hand-Dorsa Vein Recognition Based on Local Deep Feature

Author

Wang, Yuqing, Shen, Zhengwen, Wang, Jun, Yang, Gongping, Qin, Huafeng, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Sun, Fuchun, editor, Hu, Dewen, editor, Wermter, Stefan, editor, Yang, Lei, editor, Liu, Huaping, editor, and Fang, Bin, editor

Published
2022
Full Text
View/download PDF

9. Learning Discriminative Representation for ECG Biometrics Based on Multi-Scale 1D-PDV

Author

Sun, Yanwen, Yang, Gongping, Huang, Yuwen, Wang, Kuikui, Yin, Yilong, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Sun, Zhenan, editor, He, Ran, editor, Feng, Jianjiang, editor, Shan, Shiguang, editor, and Guo, Zhenhua, editor

Published
2019
Full Text
View/download PDF

19. Customized Local Line Binary Pattern Method for Finger Vein Recognition

Author

Liu, Haiying, Song, Lingfei, Yang, Gongping, Yang, Lu, Yin, Yilong, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Zhou, Jie, editor, Wang, Yunhong, editor, Sun, Zhenan, editor, Xu, Yong, editor, Shen, Linlin, editor, Feng, Jianjiang, editor, Shan, Shiguang, editor, Qiao, Yu, editor, Guo, Zhenhua, editor, and Yu, Shiqi, editor

Published
2017
Full Text
View/download PDF

22. Large-scale traffic flow simulation based on intelligent PSO

Author

Liu Zeyu and Yang Gongping

Subjects
traffic flow simulation, intelligent pso, netlogo, Engineering (General). Civil engineering (General), TA1-2040
Abstract

With the rapid development of urban traffic, a large number of vehicles in cities not only bring convenience to people, but also bring a series of traffic problems, including traffic congestion and high traffic accident rates. Driving speed and waiting time of vehicles are two important factors of traffic problems. To simulate the real urban road traffic flow, a one-dimensional traffic flow grid model was proposed, which considered the nearest and next neighbour car at the same time, and connected the front and rear neighbour cars to optimize the traffic flow. The experiment results showed that our traffic flow grid model can simulate the real urban road traffic flow. In addition, we tried to optimize the urban traffic network model and improved the traffic speed of vehicles and reduced the waiting time.

Published
2022
Full Text
View/download PDF

27. Exploring User-Specific Threshold in Finger Vein Authentication

Author

Yang, Lu, Yang, Gongping, Yin, Yilong, Xiao, Rongyang, Hutchison, David, Serieseditor, Kanade, Takeo, Serieseditor, Kittler, Josef, Serieseditor, Kleinberg, Jon M., Serieseditor, Mattern, Friedemann, Serieseditor, Mitchell, John C., Serieseditor, Naor, Moni, Serieseditor, Nierstrasz, Oscar, Serieseditor, Pandu Rangan, C., Serieseditor, Steffen, Bernhard, Serieseditor, Sudan, Madhu, Serieseditor, Terzopoulos, Demetri, Serieseditor, Tygar, Doug, Serieseditor, Vardi, Moshe Y., Serieseditor, Weikum, Gerhard, Serieseditor, Sun, Zhenan, editor, Shan, Shiguan, editor, Yang, Gongping, editor, Zhou, Jie, editor, Wang, Yunhong, editor, and Yin, YiLong, editor

Published
2013
Full Text
View/download PDF

28. Finger-Vein Recognition Based on Fusion of Pixel Level Feature and Super-Pixel Level Feature

Author

Liu, Fei, Yang, Gongping, Yin, Yilong, Xi, Xiaoming, Hutchison, David, Serieseditor, Kanade, Takeo, Serieseditor, Kittler, Josef, Serieseditor, Kleinberg, Jon M., Serieseditor, Mattern, Friedemann, Serieseditor, Mitchell, John C., Serieseditor, Naor, Moni, Serieseditor, Nierstrasz, Oscar, Serieseditor, Pandu Rangan, C., Serieseditor, Steffen, Bernhard, Serieseditor, Sudan, Madhu, Serieseditor, Terzopoulos, Demetri, Serieseditor, Tygar, Doug, Serieseditor, Vardi, Moshe Y., Serieseditor, Weikum, Gerhard, Serieseditor, Sun, Zhenan, editor, Shan, Shiguan, editor, Yang, Gongping, editor, Zhou, Jie, editor, Wang, Yunhong, editor, and Yin, YiLong, editor

Published
2013
Full Text
View/download PDF

29. Modified Binary Pattern for Finger Vein Recognition

Author

Xiao, Rongyang, Yang, Gongping, Yin, Yilong, Yang, Lu, Hutchison, David, Serieseditor, Kanade, Takeo, Serieseditor, Kittler, Josef, Serieseditor, Kleinberg, Jon M., Serieseditor, Mattern, Friedemann, Serieseditor, Mitchell, John C., Serieseditor, Naor, Moni, Serieseditor, Nierstrasz, Oscar, Serieseditor, Pandu Rangan, C., Serieseditor, Steffen, Bernhard, Serieseditor, Sudan, Madhu, Serieseditor, Terzopoulos, Demetri, Serieseditor, Tygar, Doug, Serieseditor, Vardi, Moshe Y., Serieseditor, Weikum, Gerhard, Serieseditor, Sun, Zhenan, editor, Shan, Shiguan, editor, Yang, Gongping, editor, Zhou, Jie, editor, Wang, Yunhong, editor, and Yin, YiLong, editor

Published
2013
Full Text
View/download PDF

32. Local Vein Texton Learning for Finger Vein Recognition

Author

Yang, Lu, Yang, Gongping, Yin, Yilong, Dong, Lumei, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Kobsa, Alfred, Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Sun, Zhenan, editor, Shan, Shiguang, editor, Sang, Haifeng, editor, Zhou, Jie, editor, Wang, Yunhong, editor, and Yuan, Weiqi, editor

Published
2014
Full Text
View/download PDF

33. A Survey of Finger Vein Recognition

Author

Yang, Lu, Yang, Gongping, Yin, Yilong, Zhou, Lizhen, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Kobsa, Alfred, Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Sun, Zhenan, editor, Shan, Shiguang, editor, Sang, Haifeng, editor, Zhou, Jie, editor, Wang, Yunhong, editor, and Yuan, Weiqi, editor

Published
2014
Full Text
View/download PDF

34. A Position-Temporal Awareness Transformer for Remote Sensing Change Detection

Author

Liu, Yikun, Wang, Kuikui, Li, Mingsong, Huang, Yuwen, and Yang, Gongping

Abstract

With the development of deep learning, significant progress has been made in change detection (CD) methods for remote sensing (RS) images. However, many convolutional neural network (CNN)-based methods are constrained in capturing long-range dependencies due to the limitations of the receptive field. Transformers rely on self-attention mechanisms to effectively achieve global information modeling and are widely used in CD tasks. Nevertheless, transformer-based CD methods still suffer from issues such as pseudochanges and incomplete edges due to the lack of position and temporal correlations in bitemporal RS images. To deal with this issue, we propose a position-temporal awareness transformer (PT-Former), which models position and temporal relations in bitemporal images. Specifically, a Siamese network attached to a position-aware embedding module (PEM) serves as a feature encoder to extract the features of changed areas. Then, a temporal difference perception module (TDPM) is designed to capture the cross-temporal shift and enhance the difference perception ability during cross-temporal interaction. Meanwhile, the contextual information of the ground object is aggregated by the fusion block, and the spatial relation is reconstructed under the guidance of bitemporal features. The experimental results validate the superiority of PT-Former on three benchmark datasets, including the season-varying CD (SVCD) dataset, the learning vision and RS laboratory building CD (LEVIR-CD) dataset, and the WHU-CD dataset confirming the potential of PT-Former for CD tasks in RS images. The code will be available at https://github.com/liuyk29/PT-Former.

Published
2024
Full Text
View/download PDF

36. Encoding Coefficient Similarity-Based Multifeature Sparse Representation for Finger Vein Recognition.

Author

Zhou, Lizhen, Yang, Lu, Fu, Deqian, and Yang, Gongping

Subjects
VEINS, FINGERS, ENCODING, HUMAN fingerprints, BIOMETRY, ALGORITHMS
Abstract

Finger vein recognition is a promising biometric technology that has received significant research attention. However, most of the existing works often relied on a single feature, which failed to fully exploit the discriminative information in finger vein images, and therefore led to a limited recognition performance. To overcome this limitation, this paper proposes an encoding coefficient similarity-based multifeature sparse representation method for finger vein recognition. The proposed method not only uses multiple features to extract comprehensive information from finger vein images, but also obtains more discriminative information through constraints in the objective function. The sparsity constraint retains the key information of each feature, and the similarity constraint explores the shared information among the features. Furthermore, the proposed method is capable of fusing all kinds of features, not limited to specific ones. The optimization problem of the proposed method is efficiently solved using the alternating direction multiplier method algorithm. Experimental results on two public finger vein databases HKPU-FV and SDU-FV show that the proposed method achieves good recognition performance. [ABSTRACT FROM AUTHOR]

Published
2023
Full Text
View/download PDF

45. A Novel Matching Strategy for Finger Vein Recognition

Author

Xiao, Rongyang, Yang, Gongping, Yin, Yilong, Yang, Lu, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Yang, Jian, editor, Fang, Fang, editor, and Sun, Changyin, editor

Published
2013
Full Text
View/download PDF

48. Rotation Invariant Finger Vein Recognition

Author

Pang, Shaohua, Yin, Yilong, Yang, Gongping, Li, Yanan, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Zheng, Wei-Shi, editor, Sun, Zhenan, editor, Wang, Yunhong, editor, Chen, Xilin, editor, Yuen, Pong C., editor, and Lai, Jianhuang, editor

Published
2012
Full Text
View/download PDF

49. Fingerprint Identification Based on Semi-supervised FSS

Author

Li, Xuzhou, Li, Ying, Yin, Yilong, Yang, Gongping, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Zheng, Wei-Shi, editor, Sun, Zhenan, editor, Wang, Yunhong, editor, Chen, Xilin, editor, Yuen, Pong C., editor, and Lai, Jianhuang, editor

Published
2012
Full Text
View/download PDF

Catalog

Books, media, physical & digital resources
See catalog results