Visual Object Tracking in RGB-D Data via Genetic Feature Learning by Ming-xin Jiang, Xian-xian Luo, Tao Hai, Hai-yan Wang, Song Yang, Ahmed N. Abdalla

“…Visual object tracking is a fundamental component in many computer vision applications. …”
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Schur Complement Optimized Iterative EKF for Visual–Inertial Odometry in Autonomous Vehicles by Guo Ma, Cong Li, Hui Jing, Bing Kuang, Ming Li, Xiang Wang, Guangyu Jia

“…Accuracy and nonlinear processing capabilities are critical to the positioning and navigation of autonomous vehicles in visual–inertial odometry (VIO). Existing filtering-based VIO methods struggle to deal with strongly nonlinear systems and often exhibit low precision. …”
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Visual information guided multi-modal model for plant disease anomaly detection by Jiuqing Dong, Yifan Yao, Alvaro Fuentes, Yongchae Jeong, Sook Yoon, Dong Sun Park

“…Extensive experimental results demonstrate that our method significantly improves the current baseline methods by incorporating visual information. …”
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Self-Supervised Visual Tracking via Image Synthesis and Domain Adversarial Learning by Gu Geng, Sida Zhou, Jianing Tang, Xinming Zhang, Qiao Liu, Di Yuan

“…With the widespread use of sensors in applications such as autonomous driving and intelligent security, stable and efficient target tracking from diverse sensor data has become increasingly important. Self-supervised visual tracking has attracted increasing attention due to its potential to eliminate reliance on costly manual annotations; however, existing methods often train on incomplete object representations, resulting in inaccurate localization during inference. …”
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Visual Analysis of Multimodal Movie Network Data Based on the Double-Layered View by Ying Tang, Jia Yu, Chen Li, Jing Fan

“…Multimodal visualization of network data is a method considering various types of nodes and visualizing them based on their types, or modes. …”
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TWO-STAGE INTELLIGENT FAULT DIAGNOSIS OF MOTORS BASED ON VISUAL IMAGE FEATURES

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Comparison of Environmental DNA Metabarcoding and Underwater Visual Census for Assessing Macrobenthic Diversity by Zifeng Zhan, Weiwei Huo, Shangwei Xie, Wandong Chen, Xinming Liu, Kuidong Xu, Yanli Lei

“…In contrast, traditional UVC was crucial for identifying certain taxa, such as Bryozoa, which were undetectable by eDNA methods. The low overlap in species detected by these methods underscores their complementary nature, highlighting the necessity of integrating multiple approaches to achieve a more comprehensive and accurate biodiversity assessment. …”
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Research on step-by-step visual servo control system of anchor drilling robot by Mengyu LEI, Xuhui ZHANG, Wenjuan YANG, Jicheng WAN, Yuyang DU, Henghan YU, Chenhui TIAN

“…To address the challenges of low automation levels and poor support efficiency in existing roadway support systems, this study has developed an anchor drilling robot integrating a boom-type roadheader with a multi-degree-of-freedom manipulator, proposing a step-by-step visual servo-based control methodology. Firstly, a binocular vision-based spatial positioning method for drilling holes was established utilizing triangulation principles to achieve precise hole localization. …”
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YOLO-MMCE algorithm for visual detection of engineering vehicles in high-consequence area by Huimei SUN, Lu LIU, Degang WANG, Taiyong WANG

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Reading the Visual Aspects of the Grotesque Body in the Iranian Cinema and Theater Posters (1390s) by Amir Hossein Pormehr Yabandeh, Mohsen Marasy

“…The descriptive research method includes content analysis and library information collecting methods, through note-taking and image reading. …”
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Enhancing Real-Time Visual SLAM with Distant Landmarks in Large-Scale Environments by Hexuan Dou, Xinyang Zhao, Bo Liu, Yinghao Jia, Guoqing Wang, Changhong Wang

“…This paper presents a practical method to enhance the accuracy of feature-based real-time visual SLAM for compact unmanned vehicles by constructing distant map points. …”
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VCINet: Visual Cue-Inspired Feature Learning Network for SAR Building Segmentation by Mengyu Wang, Zhiyuan Yan, Wenhui Diao, Xudong Hu, Yingchao Feng, Linlin Xin, Junxi Li, Xian Sun

“…General deep learning methods often struggle to effectively represent consistent building features due to insufficient exploitation of the characteristics and visual cues. …”
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Model Constrained by Visual Hierarchy Improves Prediction of Neural Responses to Natural Scenes. by Ján Antolík, Sonja B Hofer, James A Bednar, Thomas D Mrsic-Flogel

“…We introduce a new method for estimating receptive fields simultaneously for a population of V1 neurons, using a model-based analysis incorporating knowledge of the feed-forward visual hierarchy. …”
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Visual assessment of leaf area index in coffee (Coffea arabica L.) fields by Sergio A. Castro-Pacheco, María I. González-Lutz, José M. Araya-Alfaro, Mariano Vargas-Chinchilla, Marco V. Gutiérrez-Soto

“…The proposed visual methodology constitutes a statistically sound, rapid, simple, and reliable method for determining the LAI of coffee fields to aid in decision-making for crop management.…”
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Association between health literacy and health-promoting behaviors in individuals with visual impairments by Soyoung Choi, Jessie Chin, Chung-Yi Chiu

“…This study aimed to examine the association between health literacy and health-promoting behaviors in individuals with visual impairments. MATERIALS AND METHODS: A cross-sectional online survey was conducted using an accessible web-based questionnaire developed by the research team. …”
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Utility Evaluation Model for Subway Transfer Guidance Signs Based on Visual Entropy by ZHONG Jialu, FANG Yong, WEI Wanxu, HU Ha, WAN Su

“…A passenger visual entropy evaluation model and the utility quantification method based on entropy theory are established. …”
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Neural network approach to ensuring visual coherence in augmented reality flight simulators by A. L. Gorbunov, Yunhan Li

“…These disadvantages are not found in the spectral transplantation method based on twodimensional spectral image conversions, which, however, requires determining the size of the spectrum part being transplanted from the real picture of the world to a virtual object. …”
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VISUAL ACUITY AND CLINICAL REFRACTION FOLLOWING IMPLANTATION OF VARIOUS MULTIFOCAL INTRAOCULAR LENSES by N. N. Temirov, N. E. Temirov

“…Aim. To analyze visual acuity, clinical refraction, and defocusing tolerance after the implantation of monofocal IOL with rotational asymmetric optic (Lentis Mplus 313 MF) compared with Acrysof ReSTOR SN6AD1.Materials and methods. …”
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Digital Twins by Physical Education Teaching Practice in Visual Sensing Training System by Xinran Liu, Ji Jiang

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Visual Place Recognition Based on Dynamic Difference and Dual-Path Feature Enhancement by Guogang Wang, Yizhen Lv, Lijie Zhao, Yunpeng Liu

“…Aiming at the problem of appearance drift and susceptibility to noise interference in visual place recognition (VPR), we propose DD–DPFE: a Dynamic Difference and Dual-Path Feature Enhancement method. …”
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