Publications associées à Crowding and the importance of grouping and segmentation processes in human vision

Predicting Visual Stimuli From Cortical Response Recorded With Wide-Field Imaging in a Mouse

Neural decoding of the visual system is a subject of research interest, both to understand how the visual system works and to be able to use this knowledge in areas, such as computer vision or brain-computer interfaces. Spike-based decoding is often used, ...

Ieee-Inst Electrical Electronics Engineers Inc2024

The neural correlates of topographical disorientation-a lesion analysis study

Olaf Blanke, Lukas Heydrich, Eva Blondiaux

Topographical disorientation refers to the selective inability to orient oneself in familiar surroundings. However, to date its neural correlates remain poorly understood. Here we use quantitative lesion analysis and a lesion network mapping approach in or ...

Hoboken2024

Weak correlations between visual abilities in healthy older adults, despite long-term performance stability

Michael Herzog, Simona Adele Garobbio

Using batteries of visual tests, most studies have found that there are only weak correlations between the performance levels of the tests. Factor analysis has confirmed these results. This means that a participant excelling in one test may rank low in ano ...

2024

SVGC-AVA: 360-Degree Video Saliency Prediction With Spherical Vector-Based Graph Convolution and Audio-Visual Attention

Pascal Frossard, Chenglin Li, Li Wei, Qin Yang, Yuelei Li

Viewers of 360-degree videos are provided with both visual modality to characterize their surrounding views and audio modality to indicate the sound direction. Though both modalities are important for saliency prediction, little work has been done by joint ...

Ieee-Inst Electrical Electronics Engineers Inc2024

Convolutional neural network classifies visual stimuli from cortical response recorded with wide-field imaging in mice

Silvestro Micera, Daniela De Luca

Objective. The optic nerve is a good location for a visual neuroprosthesis. It can be targeted when a subject cannot receive a retinal prosthesis and it is less invasive than a cortical implant. The effectiveness of an electrical neuroprosthesis depends on ...

IOP Publishing Ltd2023

Regularization of polynomial networks for image recognition

Volkan Cevher, Grigorios Chrysos, Bohan Wang

Deep Neural Networks (DNNs) have obtained impressive performance across tasks, however they still remain as black boxes, e.g., hard to theoretically analyze. At the same time, Polynomial Networks (PNs) have emerged as an alternative method with a promising ...

2023

Regularization of polynomial networks for image recognition

Volkan Cevher, Grigorios Chrysos, Bohan Wang

Los Alamitos2023

Recognizing distant faces

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As an 'early alerting' sense, one of the primary tasks for the human visual system is to recognize distant objects. In the specific context of facial identification, this ecologically important task has received surprisingly little attention. Most studies ...

PERGAMON-ELSEVIER SCIENCE LTD2023

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Crowding and the importance of grouping and segmentation processes in human vision

Predicting Visual Stimuli From Cortical Response Recorded With Wide-Field Imaging in a Mouse

The neural correlates of topographical disorientation-a lesion analysis study

Course Design - A Visual and Modular Approach

Weak correlations between visual abilities in healthy older adults, despite long-term performance stability

SVGC-AVA: 360-Degree Video Saliency Prediction With Spherical Vector-Based Graph Convolution and Audio-Visual Attention

Convolutional neural network classifies visual stimuli from cortical response recorded with wide-field imaging in mice

Regularization of polynomial networks for image recognition

Regularization of polynomial networks for image recognition

The role of the visual field size in artificial vision

Recognizing distant faces

Graph Chatbot

Chattez avec Graph Search

The neural correlates of topographical disorientation-a lesion analysis study

Predicting Visual Stimuli From Cortical Response Recorded With Wide-Field Imaging in a Mouse

Weak correlations between visual abilities in healthy older adults, despite long-term performance stability

Course Design - A Visual and Modular Approach

SVGC-AVA: 360-Degree Video Saliency Prediction With Spherical Vector-Based Graph Convolution and Audio-Visual Attention

Convolutional neural network classifies visual stimuli from cortical response recorded with wide-field imaging in mice

Recognizing distant faces

Regularization of polynomial networks for image recognition

Regularization of polynomial networks for image recognition

The role of the visual field size in artificial vision