A Computational–Cognitive Model of Audio-Visual Attention in Dynamic Environments by Hamideh Yazdani, Alireza Bosaghzadeh, Reza Ebrahimpour, Fadi Dornaika

“…Inspired by cognitive studies, we propose a computational model that combines spatial, temporal, face (low-level and high-level visual cues), and auditory saliency to predict visual attention more effectively. …”
Get full text

Layers of the monkey visual cortex are selectively modulated during electrical stimulation. by Sangjun Lee, Zhihe Zhao, Ivan Alekseichuk, Jimin Park, Sina Shirinpour, Gary Linn, Charles E Schroeder, Arnaud Y Falchier, Alexander Opitz

“…To address this gap, we recorded laminar LFP from capuchin monkeys' primary visual cortex while presenting a flash visual stimulus. …”
Get full text

Perceptual, Not Attentional, Guidance Drives Happy Superiority in Complex Visual Search by Sjoerd M. Stuit, M. Alejandra Pardo Sanchez, David Terburg

“…We teased apart visual search behaviors into attentional and perceptual components using eye-tracking data and subsequently predicted these behaviors using low-level visual features of the distractors. …”
Get full text

Strategies of planning online scientific projects for blind and visually impaired students by Ekaterina A. Gradaleva, Maria Houston

“…The paper describes distance learning opportunities for blind and visually impaired students. The research aims at analyzing various tools and techniques that are necessary for their participation in online scientific projects and conferences. …”
Get full text

Integrating Visual Cryptography for Efficient and Secure Image Sharing on Social Networks by Lijing Ren, Denghui Zhang

“…By integrating large-scale data forwarding with visual cryptography, we enhance data security and resource utilization while minimizing overhead. …”
Get full text

Ferroelectric-Based Optoelectronic Synapses for Visual Perception: From Materials to Systems by Yuqing Hu, Yixin Zhu, Xinli Chen, Qing Wan

“…The neuromorphic visual perception system provides a novel solution for achieving efficient and low-power visual information processing by simulating the working principle of the biological visual system. …”
Get full text

Visual Positioning Detection of EMU Brake Pad Based on Deep Learning by GUAN Chunling, XU Yingjie, SONG Yuechao

“…To address the issues of low efficiency, missed and false detections in the manual inspection of EMU (electric multiple unit) brake pads, it is necessary to study visual positioning detection methods for EMU brake pads. …”
Get full text

Robot Visual Tracking Model Based on Improved GOTURN-LD Algorithm by Lijuan Xu, Dalong Liu, Huanjian Ma

“…As the key performance of visual tracking, it still has the problems of low tracking accuracy and poor real-time performance. …”
Get full text

Tiny visual latencies can profoundly impair implicit sensorimotor learning by Alkis M. Hadjiosif, Y. Dajaj, Tanvi Ranjan, Maurice A. Smith

“…This 70/30 ratio is more than double that observed in any previous study examining the effect of latency on sensorimotor learning, including a recent study which provided time-advanced visual feedback, suggesting that the low-latency continuous visual feedback we provided is critical for efficiently driving implicit learning. …”
Get full text

Emotion based attentional priority for storage in visual short-term memory. by Luca Simione, Lucia Calabrese, Francesco S Marucci, Marta Olivetti Belardinelli, Antonino Raffone, Frances A Maratos

“…Participants (n = 20) had to recall a probed stimulus from a set size of four under high (150 ms array exposure duration) and low (400 ms array exposure duration) perceptual processing competition. …”
Get full text

Spatially Localized Visual Perception Estimation by Means of Prosthetic Vision Simulation by Diego Luján Villarreal, Wolfgang Krautschneider

“…Retinal prosthetic devices aim to repair some vision in visually impaired patients by electrically stimulating neural cells in the visual system. …”
Get full text

GRVIO: Semantic-Aware Visual-Inertial Odometry for Ground Robot Platforms by Sangbum Lee, Hanyeol Lee, Chan Gook Park

“…Visual-inertial odometry (VIO) has emerged as a key technology for state estimation of mobile robots by complementarily fusing data from a lightweight, low-cost inertial measurement unit and a camera. …”
Get full text

Recognition of Visual Arabic Scripting News Ticker From Broadcast Stream by Moeen Tayyab, Ayyaz Hussain, Mohammed Ali Alshara, Shakir Khan, Reemiah Muneer Alotaibi, Abdul Rauf Baig

Get full text

Visual Point Cloud Map Construction and Matching Localization for Autonomous Vehicle by Shuchen Xu, Kedong Zhao, Yongrong Sun, Xiyu Fu, Kang Luo

“…However, conventional digital maps suffer from high construction costs, easy misalignment, and low localization accuracy. Thus, this paper proposes a visual point cloud map (VPCM) construction and matching localization for autonomous vehicles. …”
Get full text

Modern Methodological Approaches to the Correction of Astenopia in Patients with Visual-Intensive Work by I. G. Ovechkin, E. I. Belikova, A. A. Kozhukhov, M. D. Pozharitskii, V. E. Yudin, A. A. Budko, A. V. Shakula

“…It was found that the combined use of multidirectional technologies of physical impact (low-energy laser radiation, cranial osteopathic effects and special training of the cervical-thoracic spine) provides effective correction of accommodation disorders, which is confirmed by a pronounced, statistically significant positive dynamics of clinical and functional, ophthalmic-ergonomic and subjective indicators of the visual system after a course of therapeutic and restorative measures.…”
Get full text

Video-evoked neuromarkers of visual function in age-related macular degeneration by Angela I. Renton, David J. Klein, Jesse A. Livezey, Dan Nemrodov, Stephanie Wolfer, Adam Hanina, Dimitri Van De Ville, Dimitri Van De Ville

“…Neural markers of visual function in age-related macular degeneration (AMD) allow clinicians and researchers to directly evaluate the functional changes in visual processing which occur as a result of the progressive loss of afferent input from the macula. …”
Get full text

Pavement Disease Visual Detection by Structure Perception and Feature Attention Network by Bin Lv, Shuo Zhang, Haixia Gong, Hongbo Zhang, Bin Dong, Jianzhu Wang, Cong Du, Jianqing Wu

“…Furthermore, while achieving significant accuracy improvements, the proposed method maintains a similar parameter count as the baseline, preserving its low computational demands and high efficiency, making it suitable for real-time pavement damage detection in energy-constrained environments.…”
Get full text

Exploring interactions between shading and view using visual difference prediction by Stephen Wasilewski, Marilyne Andersen

“…It is also sensitive to view features such as high-contrast edges, low-contrast details and composition. Moving forward, these findings should be used to confirm the fundamental attributes of human visual perception across shading systems and, relying on human subjects, calibrate them to models’ responses. …”
Get full text

User-centered design approach to visualize PROMs for molecular tumor boards by Sara Bäcker, Brita Sedlmayr, Miriam Goldammer, Katharina Schuler, Maria Zerlik, Cosima Strantz, Philipp Unberath, Linda Gräßel, Martin Sedlmayr, Markus Wolfien

“…Abstract Integrating Patient-Reported Outcome Measures (PROMs) into Molecular Tumor Boards (MTBs) remains challenging due to the complexity of data visualization and integration into clinical workflows. …”
Get full text

An unsupervised map of excitatory neuron dendritic morphology in the mouse visual cortex by Marissa A. Weis, Stelios Papadopoulos, Laura Hansel, Timo Lüddecke, Brendan Celii, Paul G. Fahey, Eric Y. Wang, J. Alexander Bae, Agnes L. Bodor, Derrick Brittain, JoAnn Buchanan, Daniel J. Bumbarger, Manuel A. Castro, Forrest Collman, Nuno Maçarico da Costa, Sven Dorkenwald, Leila Elabbady, Akhilesh Halageri, Zhen Jia, Chris Jordan, Dan Kapner, Nico Kemnitz, Sam Kinn, Kisuk Lee, Kai Li, Ran Lu, Thomas Macrina, Gayathri Mahalingam, Eric Mitchell, Shanka Subhra Mondal, Shang Mu, Barak Nehoran, Sergiy Popovych, R. Clay Reid, Casey M. Schneider-Mizell, H. Sebastian Seung, William Silversmith, Marc Takeno, Russel Torres, Nicholas L. Turner, William Wong, Jingpeng Wu, Wenjing Yin, Szi-chieh Yu, Jacob Reimer, Philipp Berens, Andreas S. Tolias, Alexander S. Ecker

“…Here, we took a data-driven approach using graph-based machine learning methods to obtain a low-dimensional morphological “bar code” describing more than 30,000 excitatory neurons in mouse visual areas V1, AL, and RL that were reconstructed from the millimeter scale MICrONS serial-section electron microscopy volume. …”
Get full text