Modeling Object Dissimilarity for Deep Saliency Prediction

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Features integrate along a motion trajectory when object integrity is preserved

Michael Herzog, Leila Drissi Daoudi - Kleinbauer

Information about a moving object is usually poor at each retinotopic location because photoreceptor activation is short, noisy, and affected by shadows, reflections of other objects, and so on. Integration across the motion trajectory may yield a much bet ...

2021

Global and high-level effects in crowding cannot be predicted by either high-dimensional pooling or target cueing

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In visual crowding, the perception of a target deteriorates in the presence of nearby flankers. Traditionally, target-flanker interactions have been considered as local, mostly deleterious, low-level, and feature specific, occurring when information is poo ...

2021

Crowding and the Architecture of the Visual System

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Classically, vision is seen as a cascade of local, feedforward computations. This framework has been tremendously successful, inspiring a wide range of ground-breaking findings in neuroscience and computer vision. Recently, feedforward Convolutional Neural ...

EPFL2020

Long-lasting feature integration

Leila Drissi Daoudi - Kleinbauer

In the classic model of vision, processing is local, feedforward and hierarchical. The first stages of the visual system are retinotopic, i.e., neighboring points in the outside world are mapped onto neighboring photoreceptors of the retina and this is pre ...

EPFL2020

Visual Attention and Perceptual Quality in Omnidirectional Imaging

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Omnidirectional imaging has reached a level of widespread availability driven by recent advances in integrated circuit technology, image sensors, and computer graphics which allow now capturing, rendering and displaying of such type of immersive content in ...

EPFL2020

Towards Modelling of Visual Saliency in Point Clouds for Immersive Applications

Touradj Ebrahimi, Evangelos Alexiou, Peisen Xu

Modelling human visual attention is of great importance in the field of computer vision and has been widely explored for 3D imaging. Yet, in the absence of ground truth data, it is unclear whether such predictions are in alignment with the actual human vie ...

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Gene Editing Preserves Visual Functions in a Mouse Model of Retinal Degeneration

Diego Ghezzi, Naïg Aurelia Ludmilla Chenais, Paola Vagni, Tommaso Marchetti

Inherited retinal dystrophies (IRDs) are a large and heterogeneous group of degenerative diseases caused by mutations in various genes. Given the favorable anatomical and immunological characteristics of the eye, gene therapy holds great potential for thei ...

2019

Schizophrenia patients using atypical medication perform better in visual tasks than patients using typical medication

Michael Herzog, Maya Roinishvili, Albulena Jashari-Shaqiri

Schizophrenia (SCZ) patients show deficits in many domains, including cognition and perception. However, results are often mixed. One reason for mixed results may be differences in medication. Very little is known about the role of medication in visual pro ...

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Running Large-Scale Simulations on the Neurorobotics Platform to Understand Vision - The Case of Visual Crowding

Michael Herzog, Gregory Francis, Alban Bornet, Egidio Falotico, Alessandro Ambrosano

Traditionally, human vision research has focused on specific paradigms and proposed models to explain very specific properties of visual perception. However, the complexity and scope of modern psychophysical paradigms undermine the success of this approach ...

2019

Optimal integration of intraneural somatosensory feedback with visual information: a single-case study

Silvestro Micera, Ivo Strauss, Giacomo Valle, Francesco Iberite

Providing somatosensory feedback to amputees is a long-standing objective in prosthesis research. Recently, implantable neural interfaces have yielded promising results in this direction. There is now considerable evidence that the nervous system integrate ...

Nature Research2019

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