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2. CyberLoc: Towards Accurate Long-term Visual Localization

Author

Liu, Liu, Lin, Yukai, Liang, Xiao, Xu, Qichao, Jia, Miao, Liu, Yangdong, Wen, Yuxiang, Luo, Wei, and Li, Jiangwei

Subjects
Computer Science - Computer Vision and Pattern Recognition
Abstract

This technical report introduces CyberLoc, an image-based visual localization pipeline for robust and accurate long-term pose estimation under challenging conditions. The proposed method comprises four modules connected in a sequence. First, a mapping module is applied to build accurate 3D maps of the scene, one map for each reference sequence if there exist multiple reference sequences under different conditions. Second, a single-image-based localization pipeline (retrieval--matching--PnP) is performed to estimate 6-DoF camera poses for each query image, one for each 3D map. Third, a consensus set maximization module is proposed to filter out outlier 6-DoF camera poses, and outputs one 6-DoF camera pose for a query. Finally, a robust pose refinement module is proposed to optimize 6-DoF query poses, taking candidate global 6-DoF camera poses and their corresponding global 2D-3D matches, sparse 2D-2D feature matches between consecutive query images and SLAM poses of the query sequence as input. Experiments on the 4seasons dataset show that our method achieves high accuracy and robustness. In particular, our approach wins the localization challenge of ECCV 2022 workshop on Map-based Localization for Autonomous Driving (MLAD-ECCV2022)., Comment: MLAD-ECCV 2022

Published
2023

11. Innovation of Talent Training Mode of Higher Vocational Education in the Information Age with Industry-Teaching Integration

Author

Li Jiangwei and Wu Yang

Subjects
information age, integration of industry and education, fuzzy intuitive hierarchy analysis, binary semantics, talent cultivation, 00a35, Mathematics, QA1-939
Abstract

The optimization of talent training structures and the promotion of scientific and technical accomplishments transformation may be achieved via the merger of industry and education with higher vocational education, particularly in the information technology era. This paper uses the fuzzy intuition stacked analysis method to compute the weights of the industry-education integration evaluation indexes and the binary semantics-based comprehensive evaluation method to convert the voice evaluation of experts into binary semantic information. According to the study’s findings, there will be 1,594 faculty members overall in 2021—114 more than there were in 2016. In 2021, there will be 1,012 full-time faculty members, representing 63.32% of the overall faculty members. Of the full-time professors on campus, 65.86% of them held a master’s degree in 2016. This represents the percentage of faculty degrees. 72.14% of all full-time professors on campus obtained their master’s degree in 2020, which is equivalent to 720 full-time faculty members. Furthermore, there is a general downward tendency in Institution B’s title faculty profiles from 2016 to 2020. Senior positions will be earned by 315 full-time faculty members, which is 31.56% of the total number of full-time professors on campus in 2020. In 2016 and 2020, the percentage of mid-level degrees was 48.38% and 45.19%, respectively. Assessing the degree of development of industry-taught integration can help modernize the governance structure and diversify the core integration. These developments will help enhance higher vocational education, enhance the development plan, and advance talent cultivation reform.

Published
2024
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12. Exploring the synergistic development strategy of vocational education and regional economy based on the separating equilibrium game model

Author

Li Jiangwei and Wu Yang

Subjects
separating equilibrium, game model, game tree, evolutionary stabilization strategy, vocational education, 00a35, Mathematics, QA1-939
Abstract

To promote the synergistic development of vocational education and regional economy, this paper proposes to use the separated equilibrium game model to study vocational education and regional economy. Starting from the theoretical foundation of the components of game theory, the separated equilibrium game model oriented to the synergistic development of vocational education and regional economy is constructed by combining the game tree and the separated equilibrium game. According to the calculation formula for evolutionary stabilization strategies and equilibrium analysis, the case analysis of vocational education and regional economies is conducted. The results show that when W2 is taken as 2, 3, or 4, the system evolves towards antagonistic cooperation, but evolution is becoming increasingly slow. When W2=6, the two sides of the school and enterprise choose the strategy tends to (positive cooperation, positive cooperation), which indicates that in the school-enterprise cooperation, the government departments through tax concessions, capital subsidies and other incentives to improve the enthusiasm of enterprises is an effective method. This study analyzes the dispute of interests of school-enterprise cooperation in vocational education development from the game perspective. It provides the basis for the construction of regional economic synergistic development strategy.

Published
2024
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21. Aligning Linguistic Words and Visual Semantic Units for Image Captioning

Author

Guo, Longteng, Liu, Jing, Tang, Jinhui, Li, Jiangwei, Luo, Wei, and Lu, Hanqing

Subjects
Computer Science - Computer Vision and Pattern Recognition, Computer Science - Computation and Language, Computer Science - Machine Learning, Computer Science - Multimedia, I.5.4, I.4.9, I.4.10, I.2.7
Abstract

Image captioning attempts to generate a sentence composed of several linguistic words, which are used to describe objects, attributes, and interactions in an image, denoted as visual semantic units in this paper. Based on this view, we propose to explicitly model the object interactions in semantics and geometry based on Graph Convolutional Networks (GCNs), and fully exploit the alignment between linguistic words and visual semantic units for image captioning. Particularly, we construct a semantic graph and a geometry graph, where each node corresponds to a visual semantic unit, i.e., an object, an attribute, or a semantic (geometrical) interaction between two objects. Accordingly, the semantic (geometrical) context-aware embeddings for each unit are obtained through the corresponding GCN learning processers. At each time step, a context gated attention module takes as inputs the embeddings of the visual semantic units and hierarchically align the current word with these units by first deciding which type of visual semantic unit (object, attribute, or interaction) the current word is about, and then finding the most correlated visual semantic units under this type. Extensive experiments are conducted on the challenging MS-COCO image captioning dataset, and superior results are reported when comparing to state-of-the-art approaches., Comment: 8 pages, 5 figures. Accepted by ACM MM 2019

Published
2019
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24. Identification and characterization of blocking nanobodies against human CD70

Author

Zhang Xin, Liu Chang, Xie Yuan, Hu Qianqian, Chen Yuanyuan, and Li Jiangwei

Subjects
CD70, CD27, nanobody, phage display, blocking antibody, Biochemistry, QD415-436, Genetics, QH426-470
Abstract

CD70 is overexpressed in a variety of solid and hematological tumors and plays a role in tumor proliferation and evasion of immune surveillance. Targeting and blocking its binding to the receptor CD27 have the potential to treat CD70-dependent tumors. To generate novel CD70 blocking agents, we screen a human CD70-immunized camel VHH phage display library and isolate two blocking nanobodies against human CD70 targeting different epitopes. Upon enrichment by three rounds of biopanning, two strategies are employed to identify CD70 blockers. One named affinity selection is used for detecting clones with CD70 binding by conventional PE-ELISA. However, no clone with a blocking effect is obtained from 188 enriched clones by this method. The alternative strategy named competitive selection is based on the inhibiting capacity of CD70-CD27 binding by enriched VHHs. By this method, two clones, Nb-2B3 and Nb-3B6, with strong blocking capacity are obtained from 20 enriched VHHs, suggesting the efficiency of this strategy. Furthermore, Nb-2B3 and Nb-3B6 specifically bind to CD70-positive SKOV3 and Raji cells at low concentrations. Meanwhile, Nb-2B3 has no competitive effect on the binding of Nb-3B6 to CD70, and vice versa, indicating that they target two different epitopes on CD70. Our data show that nanobodies Nb-2B3 and Nb-3B6 are potential attractive theranostic agents for CD70-expressing cancers.

Published
2022
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39. Simulation Analysis of LEO Satellite Navigation-Augmented Property Based on Beidou-3

Author

Wang, Dixing, Jia, Xiaolin, Li, Jiangwei, 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, 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, Zhang, Junjie James, Series Editor, Sun, Jiadong, editor, Yang, Changfeng, editor, and Xie, Jun, editor

Published
2020
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