Facial expression morphing: enhancing visual fidelity and preserving facial details in CycleGAN-based expression synthesis by Chayanon Sub-r-pa, Rung-Ching Chen, Ming-Zhong Fan

“…To address this issue, we introduce the Facial Expression Morphing (FEM) algorithm, a novel post-processing method designed to enhance the visual fidelity of CycleGAN-based outputs. …”
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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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Revealing the Relationship Between Urban Park Landscape Features and Visual Aesthetics by Deep Learning-Driven and Spatial Analysis by Jiaxuan Shi, Lyu Mei, Yumeng Meng, Weijun Gao

“…Five urban parks were chosen to evaluate landscape visual quality by using the Scenic Beauty Estimation (SBE) method. …”
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The New Method of Electroencephalogram Representation by R. T. Al-Kasasbeh, R. A. Shepovalnikov

“…A new method for visualization of electroencephalogram process is developed, using factorial analysis. …”
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Multimodal learning audio-visual detection for obtaining object-level sound sources in Japanese-language teaching room by Lu Li, Xiuxiu Bai, Junxiu Xu, Dingkang Wang, Tao Jiang

“…This study proposes a novel deep learning-based approach for audio-visual detection (AVD) in Japanese-language teaching rooms, combining audio and visual information to detect sound sources at the object level. …”
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Visually Secure Deep Joint Source-Channel Coding With Chaotic Map Against Deep Known-Plaintext Attack by Yuyang Fu, Katsuya Suto

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PLY-SLAM: Semantic Visual SLAM Integrating Point–Line Features with YOLOv8-seg in Dynamic Scenes by Huan Mao, Jingwen Luo

“…In dynamic and low texture environments, traditional point-feature-based visual SLAM (vSLAM) often faces the challenges of poor robustness and low localization accuracy. …”
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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

“…Furthermore, improvements in feature extraction and matching mechanisms greatly reduced the occurrence of mismatches, enhancing the system's adaptability for more accurate localization and navigation in complex indoor environments. The proposed method effectively enhances localization accuracy and system practicality in visually similar indoor environments, offering a new direction for the development of visual SLAM technology and holding significant application potential in intelligent robots and indoor navigation systems.…”
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NDEExplorer: Visual Analytics for Exploring Damage Modes via Multimodal Data in the Non-Destructive Examination of Composite Materials by Dongliang Guo, Lisha Zhou, Xingfa Luo

“…Therefore, we propose a visual analytics system, NDEExplorer, aimed at solving these problems through visual analytics techniques. …”
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Ensemble of deep learning and IoT technologies for improved safety in smart indoor activity monitoring for visually impaired individuals by Mesfer Al Duhayyim

“…These solutions improve quality of life by promoting independence while providing peace of mind to loved ones and caregivers. Visual impairment challenges daily independence, and deep learning (DL)-based Human Activity Recognition (HAR) enhances safe, real-time task performance for the visually impaired. …”
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A proposal of visual assessment of serotonergic deficits in parkinsonian syndromes: An 123I-FP-CIT SPECT study by Tomoko Totsune, Toru Baba, Yoko Sugimura, Hideki Oizumi, Hiroyasu Tanaka, Toshiaki Takahashi, Masaru Yoshioka, Ken-ichi Nagamatsu, Atsushi Takeda

“…First, we graded 123I-FP-CIT uptake in the midbrain and pons with a 4-degree scale and analyzed the interrater agreement of our grading method. Next, we compared the visual grading data of the PD (n = 59) and PS (n = 11) groups and analyzed the diagnostic utility of the qualitative visual assessment method. …”
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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

“…It also investigated the relationship between spatial features and public visual perceptions using methods such as factor and correlation analysis. …”
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Dual-Stream Contrastive Learning for Medical Visual Representations Using Synthetic Images Generated by Latent Diffusion Model by Weitao Ye, Longfu Zhang, Xiaoben Jiang, Dawei Yang, Yu Zhu

“…Deep learning-based medical image processing methods can enhance diagnostic accuracy while significantly accelerating clinical decision workflows. …”
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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

“…In this paper, we propose a novel nonholonomic mobile robot corridor-following and doorway-passing method based on image-based visual servoing (IBVS) by using a single dioptric camera. …”
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Visualizing the three-dimensional shape of a high-energy particle beam using a position-sensitive photodiode by M. Yoshino, T. Uchida, Y. Nikkawa, S. Saito, Y. Shiina, Y. Nakano

“…We describe a simple and robust method for particle beam visualization using a general-purpose position-sensitive photodiode as a time- and position-sensitive particle detector. …”
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Identification of 4876 Bent-tail Radio Galaxies in the FIRST Survey Using Deep Learning Combined with Visual Inspection by Baoqiang Lao, Heinz Andernach, Xiaolong Yang, Xiang Zhang, Rushuang Zhao, Zhen Zhao, Yun Yu, Xiaohui Sun, Sheng-Li Qin

“…This unique shape is mainly caused by the movement of the galaxy within a cluster, during which the radio jets are deflected by the intracluster medium. A combined method, which involves a deep learning-based radio source finder along with visual inspection, has been utilized to search for BTRGs from the Faint Images of the Radio Sky at Twenty cm survey images. …”
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Abstract 247: Visual versus Computer Software Assessment of Perfusion in Anterior Circulation Stroke Treated with Mechanical Thrombectomy by Igor Rigler, Tina Gspan, Senta Frol, Janja Pretnar Oblak

“…CTP assessments, performed either by the visual or computer based method, were graded into four categories, from least to most favorable. …”
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“It was a well-known fact at the time, in the ’90s, that physiotherapist was a profession for the blind.” – Experiences of physiotherapists with visual impairment. by Rékasi, Nikolett

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A Novel Deeply-Learned Image Quality Analysis Algorithm for Clustering by Zhongzhe Chen, Xing Gao

“…Addressing the limitations of existing deep clustering methods, which struggle with variations in image size and quality and are vulnerable to data noise and model deviations, we propose a deeply-learned clustering paradigm in an unsupervised context. …”
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Prenatal exposure to polyfluoroalkyl substances and visual acuity in preschool children: Findings from the Guangxi Zhuang birth cohort in China by Lidi Lei, Fangfang Lv, Peini Lu, Caimei Mo, Jinxiu Li, Xuemei Xu, Gangjie Wei, Xuanqian Huang, Xiaoqiang Qiu, Dongping Huang, Xiaomei Zhou, Hui Wei, Xiaoyun Zeng, Shun Liu

“…However, the effects on visual system had not been previously explored. Objective: The study aimed to assess the association between prenatal exposure to PFASs and visual acuity and visual impairment in preschool children. …”
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