Confinement et foule virtuelle : Rationalité médicale et panique collective / Lockdowns and Virtual Crowds: Medical Rationality and Collective Panic

There have been many epidemics in the past, but the Covid-19 outbreak is the first worldwide epidemic, or more precisely pandemic, to have been subject to continuous media coverage. What impact did this media flow have on our behaviour, both individually and collectively? In many countries moreover, Italy and France in particular (the two countries of reference for this analysis), lockdown orders forbade all public gatherings and suddenly, the streets, the squares, the public places in general were completely deserted. So if, as is generally accepted, a crowd is understood as being a gathering of human beings in a given space (a square, a stadium, …) with a common purpose, usually celebrations or protests, the lockdowns we experienced, causing geographic and social atomization, would, therefore, seem to be an exact antithesis. Nonetheless, a crowd, albeit a virtual crowd, united by fear in the face of an unprecedented threat relentlessly relayed by the media, did indeed exist. Moreover, this ‘crowd that was not a crowd’ was governed by certain behaviours specific to physical crowds. In this paper, I would like to discuss these behaviours and their causes

Summer Commencement Ceremony

Program for the Summer Commencement ceremony held at UNF Arena

Learning to Zoom and Unzoom

Many perception systems in mobile computing, autonomous navigation, and AR/VR face strict compute constraints that are particularly challenging for high-resolution input images. Previous works propose nonuniform downsamplers that "learn to zoom" on salient image regions, reducing compute while retaining task-relevant image information. However, for tasks with spatial labels (such as 2D/3D object detection and semantic segmentation), such distortions may harm performance. In this work (LZU), we "learn to zoom" in on the input image, compute spatial features, and then "unzoom" to revert any deformations. To enable efficient and differentiable unzooming, we approximate the zooming warp with a piecewise bilinear mapping that is invertible. LZU can be applied to any task with 2D spatial input and any model with 2D spatial features, and we demonstrate this versatility by evaluating on a variety of tasks and datasets: object detection on Argoverse-HD, semantic segmentation on Cityscapes, and monocular 3D object detection on nuScenes. Interestingly, we observe boosts in performance even when high-resolution sensor data is unavailable, implying that LZU can be used to "learn to upsample" as well.Comment: CVPR 2023. Code and additional visuals available at https://tchittesh.github.io/lzu

Parallelization Support for ImageJ Macro Language

Fiji je open-source platforma založená na ImageJ, která se zabývá zpracováním obrazu pro vědecké disciplíny. Ve Fiji chybí podpora paralelizace, a proto je cílem práce návrh a implementace pluginu, který paralelně zpracovává konvoluční funkci na superpočítači s využitím OpenMPI. Konvoluční funkce se skládá z aplikace filtru na vstupní obrázek a vrácení výstupního obrázku. Proces implementace je v práci popsán a demonstrován. Navržený plugin lze využít i v rámci makro jazyka ImageJ. Na závěr je implementace testována na superpočítači s různými vstupními parametry.Fiji is an open-source platfrom based on ImageJ software that focuses on scientific image processing. Fiji lacks paralelization support and therefore the goal of this thesis is to develop and implement plugin that uses parallelization to apply convolution algorithm on image by using OpenMPI. Convolution consists of applying convolution filter on image and returns processed image. Detailed process of implementation is described and showcased. The plugin can be also used in ImageJ macro language. The implementation is then tested on supercomputer with variable input parameters.460 - Katedra informatikyvelmi dobř

O\u27Bier, Cebron J.

Body shipped to Dania, FLhttps://stars.library.ucf.edu/cfm-ch-memoranda-1945/1250/thumbnail.jp

Variational formalism applied to control of autonomous switching systems

The formalism of the calculus of variations is applied to determine an optimal control of a class of Hybrid Dynamical Systems. This class consists of autonomous switching systems where jumps of the state are taken into account. It is shown that model switching involves discontinuities in the adjoint state of the system. The expression of the gradient of the cost function, with respect to the control, allows for the calculation of an optimal control by implementing a descent method. Au illustrative linear quadratic example is given, which allows to conclude that, the method can be easily implemented

Libration driven elliptical instability (vol 24, 061703, 2012)

International audienc

Libration driven elliptical instability (vol 24, 061703, 2012)

International audienc