{"id":556,"date":"2022-06-09T18:00:33","date_gmt":"2022-06-09T18:00:33","guid":{"rendered":"https:\/\/deeplearning.iit.bme.hu\/2021\/01\/21\/taste-safe-sensory-nulla-dignissim\/"},"modified":"2023-02-20T17:45:20","modified_gmt":"2023-02-20T17:45:20","slug":"grafgeo2022","status":"publish","type":"post","link":"https:\/\/deeplearning.iit.bme.hu\/en\/2022\/06\/09\/grafgeo2022\/","title":{"rendered":"GrafGeo2022 conference"},"content":{"rendered":"<div data-elementor-type=\"wp-post\" data-elementor-id=\"556\" class=\"elementor elementor-556\">\n\t\t\t\t\t\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-342d45c1 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"342d45c1\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-20802b2f\" data-id=\"20802b2f\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-5a55bbea elementor-widget elementor-widget-text-editor\" data-id=\"5a55bbea\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.11.5 - 14-03-2023 *\/\n.elementor-widget-text-editor.elementor-drop-cap-view-stacked .elementor-drop-cap{background-color:#818a91;color:#fff}.elementor-widget-text-editor.elementor-drop-cap-view-framed .elementor-drop-cap{color:#818a91;border:3px solid;background-color:transparent}.elementor-widget-text-editor:not(.elementor-drop-cap-view-default) .elementor-drop-cap{margin-top:8px}.elementor-widget-text-editor:not(.elementor-drop-cap-view-default) .elementor-drop-cap-letter{width:1em;height:1em}.elementor-widget-text-editor .elementor-drop-cap{float:left;text-align:center;line-height:1;font-size:50px}.elementor-widget-text-editor .elementor-drop-cap-letter{display:inline-block}<\/style>\t\t\t\t<p><!-- wp:paragraph --><\/p>\n<p>The group participated in the 10th Hungarian Conference on Computer Graphics and Geometry.<\/p>\n<p>At the symposium held on June 9, 2022 at the SZTAKI Kende Street building, we presented our deep learning-based occlusion removal methods, which were developed as a result of the work of our two leading researchers, Dr. M\u00e1rton Szemenyei and M\u00e1ty\u00e1s Sz\u00e1nt\u00f3.<\/p>\n<p>The presented work is titled \"Deep Learning-based Occlusion Detection in a Differentiable Simulation Environment\". The presentation was given by Dr. M\u00e1rton Szemenyei to representatives of the GRAFGEO working group of the Neumann J\u00e1nos Computer Society.<\/p>\n<p><!-- \/wp:paragraph --><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t\t\t\t<\/div>","protected":false},"excerpt":{"rendered":"<p>The group participated in the 10th Hungarian Conference on Computer Graphics and Geometry. At the symposium held on June 9, 2022 at the SZTAKI Kende Street building, we presented our deep learning-based occlusion removal methods, which were developed as a result of the work of our two leading researchers, Dr. M\u00e1rton Szemenyei and M\u00e1ty\u00e1s Sz\u00e1nt\u00f3. The presented work is titled \"Deep Learning-based Occlusion Detection in a Differentiable Simulation Environment\" ...<\/p>\n<p class=\"read-more\"> <a class=\"\" href=\"https:\/\/deeplearning.iit.bme.hu\/en\/2022\/06\/09\/grafgeo2022\/\"> <span class=\"screen-reader-text\">GrafGeo2022 conference<\/span> Read More &raquo;<\/a><\/p>","protected":false},"author":1,"featured_media":1244,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"site-sidebar-layout":"default","site-content-layout":"default","ast-global-header-display":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","theme-transparent-header-meta":"default","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","footnotes":""},"categories":[26],"tags":[],"class_list":["post-556","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-sim2real"],"_links":{"self":[{"href":"https:\/\/deeplearning.iit.bme.hu\/en\/wp-json\/wp\/v2\/posts\/556","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/deeplearning.iit.bme.hu\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/deeplearning.iit.bme.hu\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/deeplearning.iit.bme.hu\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/deeplearning.iit.bme.hu\/en\/wp-json\/wp\/v2\/comments?post=556"}],"version-history":[{"count":14,"href":"https:\/\/deeplearning.iit.bme.hu\/en\/wp-json\/wp\/v2\/posts\/556\/revisions"}],"predecessor-version":[{"id":1291,"href":"https:\/\/deeplearning.iit.bme.hu\/en\/wp-json\/wp\/v2\/posts\/556\/revisions\/1291"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/deeplearning.iit.bme.hu\/en\/wp-json\/wp\/v2\/media\/1244"}],"wp:attachment":[{"href":"https:\/\/deeplearning.iit.bme.hu\/en\/wp-json\/wp\/v2\/media?parent=556"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/deeplearning.iit.bme.hu\/en\/wp-json\/wp\/v2\/categories?post=556"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/deeplearning.iit.bme.hu\/en\/wp-json\/wp\/v2\/tags?post=556"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}