Towards Laws of Visual Attention

PH.D. THESIS Author: Dario Zanca Date: March, 2019 Topics: Computational modeling of visual attention; Computer vision; Machine Learning. Abstract Visual attention is a crucial process for humans and foveated animals in general. The ability to select relevant locations in the visual field greatly simplifies the problem of vision. It allows a parsimonious management of the […]

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[Jun 17th 2020] LabMeeting: Analyzing and Improving the Image Quality of StyleGAN

Giorgio Ciano (University of Florence) Jun 17, 2020 – 11:00 AM Conference Meeting Description The style-based GAN architecture (StyleGAN) yields state-of-the-art results in data-driven unconditional generative image modeling. We expose and analyze several of its characteristic artifacts, and propose changes in both model architecture and training methods to address them. In particular, we redesign generator […]

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[Jun 3rd 2020] LabMeeting: Wave Propagation of Visual Stimuli in Focus of Attention

Lapo Faggi (University of Florence) Jun 3, 2020 – 11:00 AM Conference Meeting Description Fast reactions to changes in the surrounding visual environment require efficient attention mechanisms to reallocate computational resources to the most relevant locations in the visual field. While current computational models keep improving their predictive ability thanks to the increasing availability of […]

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[May 20th 2020] LabMeeting: Towards understanding glasses with graph neural networks

Niccolò Pancino May 20, 2020 – 11:00 AM Conference Meeting Description The glass transition is a reversible transition that occurs when an amorphous polymer material is heated or cooled in a particular temperature range. On cooling, the material becomes less flexible, like a glass, and on heating becomes soft. This characteristics dramatically affects the usefulness […]

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[May 6th 2020] LabMeeting: A workbench for the translational control of gene expression

Giorgia Giacomini May 6th, 2020 – 11:00 AM Conference Meeting Description Ribosome profiling (Ribo-seq profiling) is the most advanced tool to study the translational control of gene expression. Unfortunately, the resolution of this cutting edge technique is severely limited by a low signal to noise ratio. To tackle this issue, we introduce here a newly […]

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[Apr 29th 2020] LabMeeting: COVID-19 Italian and European pandemic: a SEIR model with undetected fraction and mobility-dependent transmission rate

Nicola Picchiotti Apr 29, 2020 – 11:00 AM Conference Meeting Description We propose a COVID-19 pandemic modelling, based on a SEIR compartmental framework, taking into account the heterogeneous fraction of undetected cases, the mobility variations along time and the adoption of personal protective measures. The model is experimentally validated across both Italian regions and several […]

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[Apr 22nd 2020] LabMeeting: A possible strategy to fight COVID-19:Interfering with spike glycoprotein trimerization.

Pietro Bongini (University of Florence) Apr 22, 2020 – 11:00 AM Conference Meeting Description The recent release of COVID-19 spike glycoprotein allows detailed analysis of the structural features that are required for stabilizing the infective form of its quaternary assembly. Trying to disassemble the trimeric structure of COVID-19 spike glycoprotein, we analyzed single protomer surfaces […]

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Interface of Monomer B (green) with Monomer A (red). The druggable pocket is highlighted in yellow

Research on Covid-19 spike protein

The spike glycoprotein of COVID-19 is fundamental in the life cicle of the virus, allowing virions to attach to host cell receptors. We analyzed the structure of this protein, which is composed of three monomers, searching for concave moieties located in the monomer-monomer interface regions. The presence of some druggable pockets in these locations suggests […]

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