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133 results on '"Liu, Mingmin"'

1. TSCM: A Teacher-Student Model for Vision Place Recognition Using Cross-Metric Knowledge Distillation

Author

Shen, Yehui, Liu, Mingmin, Lu, Huimin, and Chen, Xieyuanli

Subjects
Computer Science - Computer Vision and Pattern Recognition
Abstract

Visual place recognition (VPR) plays a pivotal role in autonomous exploration and navigation of mobile robots within complex outdoor environments. While cost-effective and easily deployed, camera sensors are sensitive to lighting and weather changes, and even slight image alterations can greatly affect VPR efficiency and precision. Existing methods overcome this by exploiting powerful yet large networks, leading to significant consumption of computational resources. In this paper, we propose a high-performance teacher and lightweight student distillation framework called TSCM. It exploits our devised cross-metric knowledge distillation to narrow the performance gap between the teacher and student models, maintaining superior performance while enabling minimal computational load during deployment. We conduct comprehensive evaluations on large-scale datasets, namely Pittsburgh30k and Pittsburgh250k. Experimental results demonstrate the superiority of our method over baseline models in terms of recognition accuracy and model parameter efficiency. Moreover, our ablation studies show that the proposed knowledge distillation technique surpasses other counterparts. The code of our method has been released at https://github.com/nubot-nudt/TSCM.

Published
2024

4. Application of an Improved Fast Corner Detection Algorithm in ORB-SLAM2

Author

Huo, Xiaochuang, Zhang, Lei, Liu, Guitao, Du, Zhenjun, Liu, Mingmin, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Hirche, Sandra, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Möller, Sebastian, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zamboni, Walter, Series Editor, Zhang, Junjie James, Series Editor, Wu, Meiping, editor, Niu, Yifeng, editor, Gu, Mancang, editor, and Cheng, Jin, editor

Published
2022
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13. Epileptic Seizure Detection Based on Time Domain Features and Weighted Complex Network

Author

Zhang, Hanyong, Meng, Qingfang, Meng, Bo, Liu, Mingmin, Li, Yang, 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, Huang, De-Shuang, editor, Jo, Kang-Hyun, editor, and Zhang, Xiao-Long, editor

Published
2018
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14. A New Epileptic Seizure Detection Method Based on Fusion Feature of Weighted Complex Network

Author

Zhang, Hanyong, Meng, Qingfang, Liu, Mingmin, Li, Yang, 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, Huang, Tingwen, editor, Lv, Jiancheng, editor, Sun, Changyin, editor, and Tuzikov, Alexander V., editor

Published
2018
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20. The Feature Extraction Method of EEG Signals Based on the Loop Coefficient of Transition Network

Author

Liu, Mingmin, Meng, Qingfang, Zhang, Qiang, Zhang, Hanyong, Wang, Dong, 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, Huang, De-Shuang, editor, Jo, Kang-Hyun, editor, and Figueroa-García, Juan Carlos, editor

Published
2017
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21. A Method to Detecting Ventricular Tachycardia and Ventricular Fibrillation Based on Symbol Entropy and Wavelet Analysis

Author

Wei, Yingda, Meng, Qingfang, Liu, Haihong, Liu, Mingmin, Zhang, Hanyong, 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, Huang, De-Shuang, editor, Bevilacqua, Vitoantonio, editor, Premaratne, Prashan, editor, and Gupta, Phalguni, editor

Published
2017
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22. A Novel Detection of Ventricular Tachycardia and Fibrillation Based on Degree Centrality of Complex Network

Author

Liu, Haihong, Meng, Qingfang, Zhang, Qiang, Wei, Yingda, Liu, Mingmin, Zhang, Hanyong, 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, Huang, De-Shuang, editor, Bevilacqua, Vitoantonio, editor, Premaratne, Prashan, editor, and Gupta, Phalguni, editor

Published
2017
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23. The Feature Extraction Method of EEG Signals Based on Transition Network

Author

Liu, Mingmin, Meng, Qingfang, Zhang, Qiang, Wang, Dong, Zhang, Hanyong, 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, Cong, Fengyu, editor, Leung, Andrew, editor, and Wei, Qinglai, editor

Published
2017
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24. A New Epileptic Seizure Detection Method Based on Degree Centrality and Linear Features

Author

Liu, Haihong, Meng, Qingfang, Wei, Yingda, Zhang, Qiang, Liu, Mingmin, Zhou, Jin, 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, Cong, Fengyu, editor, Leung, Andrew, editor, and Wei, Qinglai, editor

Published
2017
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27. Analysis of Dynamic Performance of Magnetic Field Modulated Gear

Author

Liu Meijun, Bao Guangqing, Hou Chenchen, Zuo Zhengpu, and Liu Mingmin

Subjects
Magnetic gear, Finite element, Loss, Damping wingding, Mechanical engineering and machinery, TJ1-1570
Abstract

The magnetic field modulated gear is a new technology,compared with the traditional mechanical gear,it can effectively avoid vibration,noise,lubrication and other issues. But its stiffness is low,which will lead to the transient oscillations undergoing the torque of prime motor is disturbance or the velocity changes.Based on the analysis of the basic principle of magnetic gear,a magnetic field modulated gear is designed,whose transmission ratio is 5. 5,and the performance of the magnetic gear with different structures is analyzed by using the electromagnetic field finite element method. A structure type with the highest efficiency is selected,in the iron core of high speed mover of selected gear by introducing damping winding with closed loop,in the process of transient oscillations,the current will be induced in the damping winding,which will produce damping electromagnetic torque can inhibit the mechanical vibration of transmission shaft and maintain the stability of system. In addition,the influence and variation law of the damping wingding parameters on the transient characteristics of magnetic gear are analyzed.

Published
2017
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31. Vision based wafer states detection in front opening unified pod load-port system

Author

Zhang Qiang, Sun Xueying, and Liu Mingmin

Subjects
Engineering (General). Civil engineering (General), TA1-2040
Abstract

In modern integrated circuit manufacturing processes, wafers are always transported from one procedure to another. To reduce the risk of dust, Front Opening Unified Pod (FOUP) load-port system is always adopted. Misplaced wafers should be detected before transported. Traditional methods always fail to detect wafer states correctly. To improve detection accuracy, this paper proposed a vision based method. Wafer overlap and malposition detection approach based on modified YOLO-V3 algorithm was suggested. Experiment results shows superiority of the proposed approach.

Published
2021
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47. Strength and Modal Analysis of a Gun Barrel under Four Different Strength Theories

Author

Ge Shuqiang, Liu Mingmin, and Xie Feng

Subjects
History, Computer Science Applications, Education
Abstract

The barrel with reasonable strength and vibration characteristics needs to be designed for safe and high accuracy firing. The finite element simulation analysis of a gun barrel based on the pressure-length curve load that calculated based on interior ballistic is carried out. Then the strength analysis and modal analysis of the barrel are carried out respectively. The twin shear strength theory is introduced into the design of barrel structure, and barrel elastic ultimate strength analysis method based on the twin shear strength theory is deduced in this paper. The barrel elastic ultimate strength along with the ratio of outer diameter and inner diameter according to three kinds of classical strength theory (i.e., the second, Tresca, and Mises strength theory) and twin shear strength theory were contrasted and analyzed, respectively, and the structural strength of the barrel and corresponding safety coefficient were checked and contrasted based on four different strength theories. The results show that the twin shear strength theory is the most appropriate theory for the design of the barrel. Under the same strength condition, the ratio of outer diameter to inner diameter of the barrel designed by this theory is smallest, and the weight of the barrel is the smallest. The barrel that design based on the twin shear strength theory was safer and not overweight. It also avoids the resonance frequency range and will not cause the occurrence of structure resonance phenomenon.

Published
2023

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