Visual delta generation with large multi-modal models enhances composed image retrieval using unlabeled data by Young Kyun Jang, Donghyun Kim

“…Our method involves training a large language model-based Visual Delta Generator (VDG) to produce textual descriptions of the visual differences (i.e., visual deltas) between these images. …”
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Applying individual rigid scleral contact lenses in visual rehabilitation of patients with an irregular corneal surface. Clinical cases by A. V. Ivanova, A. S. Sklyarova, A. T. Khandzhyana, N. V. Khodzhabekyan, I. V. Manukyan

“…The expected refractive result was achieved; high tolerance and good adaptation to lenses was revealed. Conclusion. Scleral RCL can be successfully used in patients with irregular cornea to improve visual acuity, reduce the number of aberrations, restore binocular vision and social adaptation.…”
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Visual impairment in any eye adversely affects quality of life: Psychometric validation of the Malay NEI VFQ-25. by Jee Yao Loke, Sanjay Rampal, Jemaima Che Hamzah, Yi Wen Lim, Tengku Ain Kamalden

“…<h4>Purpose</h4>To cross-culturally translate and adapt the National Eye Institute Visual Functioning Questionnaire (NEIVFQ-25) into Malay or Bahasa Malaysia, and to analyze its psychometric properties in a cohort of Malaysian patients with visual impairment from various causes.…”
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A Multi-Criteria Perceptual Visual Complexity Metrics-Based Optimization Approach to User Interface Design Layouts by Eren Akca, Omer Ozgur Tanriover, Asim Egemen Yilmaz

“…Generating and evaluating alternative UI design layouts with minimum perceptual visual complexity is highly desirable but is a complex and time-consuming process. …”
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How perceptual learning rewires brain connectivity: lessons from the visual system in a top-down perspective by Alan Consorti, Alan Consorti, Alessandro Sale

“…Here, we will survey classic and novel findings in the field of perceptual learning research, with a particular focus on visual perceptual learning.…”
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A dual-branch deep learning model based on fNIRS for assessing 3D visual fatigue by Yan Wu, Yan Wu, Yan Wu, TianQi Mu, SongNan Qu, XiuJun Li, XiuJun Li, XiuJun Li, Qi Li, Qi Li, Qi Li

“…A transformer was integrated into the convolutional network to enhance long-range feature extraction. Furthermore, to adaptively select fNIRS hemodynamic features, a channel attention mechanism was integrated to provide a weighted representation of multiple features.ResultsThe constructed model achieved an average accuracy of 93.12% within subjects and 84.65% across subjects, demonstrating its superior performance compared to traditional machine learning models and deep learning models.DiscussionThis study successfully constructed a novel deep learning framework for the automatic evaluation of 3D visual fatigue using fNIRS data. …”
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The Utilization of Audio-Visual Learning Media in Learning Islamic Cultural History for Grade 10 High School Students by Wadza Umi Rosida, Hafidz Hafidz

“…The conclusion is that audio-visual learning media is effective in supporting the learning of Islamic Cultural History…”
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The effect of mirroring approach with visual feedback on pronunciation improvement perception: mediating role of intrinsic motivation and cognitive engagement by Samah Yaslam Saleh Baagbah, Malini Ganapathy

“…The study aims to investigate the direct role of the mirroring approach with visual feedback on learners’ pronunciation improvement. …”
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Research on Weakly Supervised Face Segmentation Technology Based on Visual Large Models in New Media Post-Production by Baihui Tang, Sanxing Cao

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Development of algorithms for constructing two-dimensional optimal boundary-adaptive grids and their software implementation by A. E. Chistyakov, V. V. Sidoryakina, S. V. Protsenko

“…It is noted that the use of adaptive grids in calculations makes it possible to improve the accuracy and efficiency of computational algorithms without increasing the number of nodes. …”
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Accurate and Robust Train Localization: Fusing Degeneracy-Aware LiDAR-Inertial Odometry and Visual Landmark Correction by Lin Yue, Peng Wang, Jinchao Mu, Chen Cai, Dingyi Wang, Hao Ren

“…To overcome the limitations of current train positioning systems, including low positioning accuracy and heavy reliance on track transponders or GNSS signals, this paper proposes a novel LiDAR-inertial and visual landmark fusion framework. Firstly, an IMU preintegration factor considering the Earth’s rotation and a LiDAR-inertial odometry factor accounting for degenerate states are constructed to adapt to railway train operating environments. …”
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Visual Geolocalization for Aerial Vehicles via Fusion of Satellite Remote Sensing Imagery and Its Relative Depth Information by Maoan Zhou, Dongfang Yang, Jieyu Liu, Weibo Xu, Xiong Qiu, Yongfei Li

“…Visual geolocalization for aerial vehicles based on an analysis of Earth observation imagery is an effective method in GNSS-denied environments. …”
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Accurate localization of indoor high similarity scenes using visual slam combined with loop closure detection algorithm. by Zhuoheng Xiang, Jiaxi Guo, Jin Meng, Xin Meng, Yan Li, Jonghyuk Kim, Shifeng Wang, Bo Lu, Yu Chen

“…To address this issue, this paper proposes an improved visual SLAM loop closure detection algorithm that integrates deep learning techniques. …”
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Latent Graph Attention for Spatial Context in Light-Weight Networks: Multi-Domain Applications in Visual Perception Tasks by Ayush Singh, Yash Bhambhu, Himanshu Buckchash, Deepak K. Gupta, Dilip K. Prasad

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Superior monocular visual function but compromised binocular balance in precision shooters compared to age and refraction matched controls by Izabela K. Garaszczuk, Wiktoria Jenczewska, Magdalena Asejczyk

“…These findings suggest that visual expertise in precision shooting is linked to task-specific visual adaptations. …”
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Comparative Analysis of TAG (Three-Dimensional Architectural Greening) Scenic Beauty Quantitative Techniques Based on Visual Perception by Xi Zhou, Ziyang Dong, Fang Zhang

“…Currently, there is a lack of a systematic assessment approach that focuses on the public’s visual perception of TAG. It is critical to focus on advances in visual perception approaches and create a “people-oriented perception driven” evaluation system that serves as a scientific foundation for urban three-dimensional greening initiatives. …”
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Central Dioptric Line Image-Based Visual Servoing for Nonholonomic Mobile Robot Corridor-Following and Doorway-Passing by Chen Zhong, Qingjia Kong, Ke Wang, Zhe Zhang, Long Cheng, Sijia Liu, Lizhu Han

“…Autonomous navigation in indoor environments demands reliable perception and control strategies for nonholonomic mobile robots operating under geometric constraints. While visual servoing offers a promising framework for such tasks, conventional approaches often rely on explicit 3D feature estimation or predefined reference trajectories, limiting their adaptability in dynamic scenarios. …”
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An activity theory-based exploration of “Eyeland”, a task-based serious game for EFL visually impaired students by Karen Villalba, Heydy Robles, Miguel Jimeno, Martha Cecilia Delgado-Cañas, Adriana Perez, Francisco Quintero

“…This study investigates how the Eyeland app, an accessible task-based serious game for English as a foreign language (EFL), can remediate traditional lessons for both visually impaired students (VISs) and sighted students (those without visual impairments) in a public high school in Colombia. …”
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Effects of balance training combined with stroboscopic visual training on balance ability in college-aged male soccer players by Maochun Lu, Yuan Zhai, Hui Peng, Junsheng Cao, Yi Yang, Liang Chen

“…Abstract Background Balance training combined with stroboscopic visual training (SVT) has emerged as a potential intervention for enhancing athletic performance. …”
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The effect of visual feedback on balance rehabilitation in people with impaired ankle instability: a systematic review and meta-analysis by Chuan qiu shui Wang, Kun Wang, Liang Sun, Shi qi Liu, Jiong Luo

“…Conclusion The provision of visual feedback in the context of balance rehabilitation has been demonstrated to facilitate beneficial adaptations to balance in individuals presenting with ankle instability. …”
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