{"id":1778,"date":"2025-02-21T11:00:28","date_gmt":"2025-02-21T11:00:28","guid":{"rendered":"https:\/\/www.toshiba.eu\/cambridge-research-laboratory\/?page_id=1778"},"modified":"2025-05-06T15:33:46","modified_gmt":"2025-05-06T15:33:46","slug":"vlg-resources","status":"publish","type":"page","link":"https:\/\/www.toshiba.eu\/cambridge-research-laboratory\/embodied-ai\/vision-learning-group\/vlg-resources\/","title":{"rendered":"VLG Resources"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-page\" data-elementor-id=\"1778\" class=\"elementor elementor-1778\" data-elementor-post-type=\"page\">\n\t\t\t\t<div class=\"elementor-element elementor-element-228984b inner-hero mr-0 width-ih e-flex e-con-boxed e-con e-parent\" data-id=\"228984b\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-ce4c1bb font-48 elementor-widget elementor-widget-heading\" data-id=\"ce4c1bb\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h1 class=\"elementor-heading-title elementor-size-default\">VLG Resources<\/h1>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-da7b2f1 bd-row home mr-0 e-flex e-con-boxed e-con e-parent\" data-id=\"da7b2f1\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-ddeabb3 elementor-icon-list--layout-inline elementor-align-start bd-nav elementor-list-item-link-full_width elementor-widget elementor-widget-icon-list\" data-id=\"ddeabb3\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"icon-list.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<ul class=\"elementor-icon-list-items elementor-inline-items\">\n\t\t\t\t\t\t\t<li class=\"elementor-icon-list-item elementor-inline-item\">\n\t\t\t\t\t\t\t\t\t\t\t<a href=\"https:\/\/www.toshiba.eu\/cambridge-research-laboratory\">\n\n\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-icon\">\n\t\t\t\t\t\t\t<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"16\" height=\"15\" viewBox=\"0 0 16 15\" fill=\"none\"><path d=\"M15.1962 7.48458C15.1962 7.99073 14.8211 8.38722 14.396 8.38722H13.5958L13.6133 12.892C13.6133 12.9679 13.6083 13.0438 13.6008 13.1197V13.5753C13.6008 14.1967 13.1532 14.7 12.6005 14.7H12.2004C12.1729 14.7 12.1454 14.7 12.1179 14.6972C12.0829 14.7 12.0479 14.7 12.0129 14.7L11.2002 14.6972H10.6C10.0474 14.6972 9.59976 14.1939 9.59976 13.5725V11.0979C9.59976 10.6002 9.24217 10.1981 8.79956 10.1981H7.19914C6.75653 10.1981 6.39894 10.6002 6.39894 11.0979V13.5725C6.39894 14.1939 5.95132 14.6972 5.39868 14.6972H4.00082C3.96331 14.6972 3.9258 14.6944 3.88829 14.6916C3.85828 14.6944 3.82827 14.6972 3.79826 14.6972H3.39816C2.84552 14.6972 2.3979 14.1939 2.3979 13.5725V10.4231C2.3979 10.3978 2.3979 10.3696 2.4004 10.3443V8.38441H1.60019C1.15008 8.38441 0.799988 7.99073 0.799988 7.48177C0.799988 7.2287 0.875007 7.00374 1.05005 6.8069L7.45921 0.525005C7.63425 0.328168 7.83431 0.300049 8.00935 0.300049C8.1844 0.300049 8.38445 0.356288 8.53449 0.496885L14.9211 6.80971C15.1212 7.00655 15.2212 7.23151 15.1962 7.48458Z\" fill=\"#007BFF\"><\/path><\/svg>\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-text\">Home<\/span>\n\t\t\t\t\t\t\t\t\t\t\t<\/a>\n\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t\t\t<li class=\"elementor-icon-list-item elementor-inline-item\">\n\t\t\t\t\t\t\t\t\t\t\t<a href=\"https:\/\/www.toshiba.eu\/cambridge-research-laboratory\/\">\n\n\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-text\">CRL<\/span>\n\t\t\t\t\t\t\t\t\t\t\t<\/a>\n\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t\t\t<li class=\"elementor-icon-list-item elementor-inline-item\">\n\t\t\t\t\t\t\t\t\t\t\t<a href=\"https:\/\/www.toshiba.eu\/cambridge-research-laboratory\/embodied-ai\/\">\n\n\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-text\">Embodied AI<\/span>\n\t\t\t\t\t\t\t\t\t\t\t<\/a>\n\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t\t\t<li class=\"elementor-icon-list-item elementor-inline-item\">\n\t\t\t\t\t\t\t\t\t\t\t<a href=\"https:\/\/www.toshiba.eu\/cambridge-research-laboratory\/embodied-ai\/vision-learning-group\/\">\n\n\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-text\">Vision &amp; Learning<\/span>\n\t\t\t\t\t\t\t\t\t\t\t<\/a>\n\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t\t\t<li class=\"elementor-icon-list-item elementor-inline-item\">\n\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-text\">VLG Resources<\/span>\n\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t<\/ul>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-45df73e vlg-intro pt-82 pb-82 container-1746 e-flex e-con-boxed e-con e-parent\" data-id=\"45df73e\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t<div class=\"elementor-element elementor-element-b078500 e-grid e-con-full vlg-card-row e-con e-child\" data-id=\"b078500\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t<div class=\"elementor-element elementor-element-2e257d5 e-con-full vlg-card e-flex e-con e-child\" data-id=\"2e257d5\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-9482713 font-18 elementor-widget elementor-widget-heading\" data-id=\"9482713\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h6 class=\"elementor-heading-title elementor-size-default\">Photometric Stereo<\/h6>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-d4ac826 font-16 pt-12 pb-26 mh-162 elementor-widget elementor-widget-text-editor\" data-id=\"d4ac826\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Retrieving geometric information provided from shading images is a challenging problem which has been widely studied in the CRL. Several resources are provided here in order to evaluate latest CVG methods including (i) LUCES a dataset containing PS images and ground truth meshes of 14 objects, (ii) PX-NET sample code and (iii) point-light adaptation of the PX-NET sample code.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-3efd580 elementor-align-left btn-bb-red elementor-widget elementor-widget-button\" data-id=\"3efd580\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm\" href=\"https:\/\/www.toshiba.eu\/cambridge-research-laboratory\/embodied-ai\/vision-learning-group\/vlg-resources\/luces\/\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-icon\">\n\t\t\t\t<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"53\" height=\"8\" viewBox=\"0 0 53 8\" fill=\"none\"><path d=\"M52.3536 4.35355C52.5488 4.15829 52.5488 3.84171 52.3536 3.64645L49.1716 0.464466C48.9763 0.269204 48.6597 0.269204 48.4645 0.464466C48.2692 0.659728 48.2692 0.976311 48.4645 1.17157L51.2929 4L48.4645 6.82843C48.2692 7.02369 48.2692 7.34027 48.4645 7.53553C48.6597 7.7308 48.9763 7.7308 49.1716 7.53553L52.3536 4.35355ZM0 4.5H52V3.5H0V4.5Z\" fill=\"transparent\"><\/path><\/svg>\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t<span class=\"elementor-button-text\">Learn More<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-68fcbc5 e-con-full vlg-card e-flex e-con e-child\" data-id=\"68fcbc5\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-2dafc81 font-18 elementor-widget elementor-widget-heading\" data-id=\"2dafc81\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h6 class=\"elementor-heading-title elementor-size-default\">ContextNet Segmentation<\/h6>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-081bd49 font-16 pt-12 pb-26 mh-162 elementor-widget elementor-widget-text-editor\" data-id=\"081bd49\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>A deep neural network architecture which builds on factorized convolution, network compression and pyramid representation to produce competitive semantic segmentation in real-time with low memory requirement. ContextNet combines a deep network branch at low resolution that capture global context information efficiently with a shallow branch that focuses on high-resolution segmentation details.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-69c5329 elementor-align-left btn-bb-red elementor-widget elementor-widget-button\" data-id=\"69c5329\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm\" href=\"https:\/\/www.toshiba.eu\/cambridge-research-laboratory\/embodied-ai\/vision-learning-group\/vlg-resources\/contextnet-segmentation-dnn\/\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-icon\">\n\t\t\t\t<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"53\" height=\"8\" viewBox=\"0 0 53 8\" fill=\"none\"><path d=\"M52.3536 4.35355C52.5488 4.15829 52.5488 3.84171 52.3536 3.64645L49.1716 0.464466C48.9763 0.269204 48.6597 0.269204 48.4645 0.464466C48.2692 0.659728 48.2692 0.976311 48.4645 1.17157L51.2929 4L48.4645 6.82843C48.2692 7.02369 48.2692 7.34027 48.4645 7.53553C48.6597 7.7308 48.9763 7.7308 49.1716 7.53553L52.3536 4.35355ZM0 4.5H52V3.5H0V4.5Z\" fill=\"transparent\"><\/path><\/svg>\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t<span class=\"elementor-button-text\">Learn More<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-1facefb e-con-full vlg-card e-flex e-con e-child\" data-id=\"1facefb\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-fbb9194 font-18 elementor-widget elementor-widget-heading\" data-id=\"fbb9194\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h6 class=\"elementor-heading-title elementor-size-default\">Toshiba CAD dataset<\/h6>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-dd46727 font-16 pt-12 pb-26 mh-162 elementor-widget elementor-widget-text-editor\" data-id=\"dd46727\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>CAD models of the 10 real objects used for evaluating a method for vote-based 3D shape recognition and registration, in particular using mean shift on 3D pose votes in the space of direct similarity transforms.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-1314906 elementor-align-left btn-bb-red elementor-widget elementor-widget-button\" data-id=\"1314906\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm\" href=\"https:\/\/www.toshiba.eu\/cambridge-research-laboratory\/toshiba-cad-dataset\/\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-icon\">\n\t\t\t\t<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"53\" height=\"8\" viewBox=\"0 0 53 8\" fill=\"none\"><path d=\"M52.3536 4.35355C52.5488 4.15829 52.5488 3.84171 52.3536 3.64645L49.1716 0.464466C48.9763 0.269204 48.6597 0.269204 48.4645 0.464466C48.2692 0.659728 48.2692 0.976311 48.4645 1.17157L51.2929 4L48.4645 6.82843C48.2692 7.02369 48.2692 7.34027 48.4645 7.53553C48.6597 7.7308 48.9763 7.7308 49.1716 7.53553L52.3536 4.35355ZM0 4.5H52V3.5H0V4.5Z\" fill=\"transparent\"><\/path><\/svg>\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t<span class=\"elementor-button-text\">Learn More<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-f24c633 e-con-full vlg-card e-flex e-con e-child\" data-id=\"f24c633\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-3ce05c7 font-18 elementor-widget elementor-widget-heading\" data-id=\"3ce05c7\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h6 class=\"elementor-heading-title elementor-size-default\">World Models<\/h6>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-e5b87a5 font-16 pt-12 pb-26 mh-162 elementor-widget elementor-widget-text-editor\" data-id=\"e5b87a5\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>A world model is a representation of an environment in which an agent operates. It captures the dynamics of the environment, including how it evolves over time. It allows for sample efficiency, planning, and effective control in embodied agents.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-92e2c29 elementor-align-left btn-bb-red elementor-widget elementor-widget-button\" data-id=\"92e2c29\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm\" href=\"https:\/\/www.toshiba.eu\/cambridge-research-laboratory\/embodied-ai\/vision-learning-group\/vlg-resources\/world-models-for-embodied-agents\/\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-icon\">\n\t\t\t\t<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"53\" height=\"8\" viewBox=\"0 0 53 8\" fill=\"none\"><path d=\"M52.3536 4.35355C52.5488 4.15829 52.5488 3.84171 52.3536 3.64645L49.1716 0.464466C48.9763 0.269204 48.6597 0.269204 48.4645 0.464466C48.2692 0.659728 48.2692 0.976311 48.4645 1.17157L51.2929 4L48.4645 6.82843C48.2692 7.02369 48.2692 7.34027 48.4645 7.53553C48.6597 7.7308 48.9763 7.7308 49.1716 7.53553L52.3536 4.35355ZM0 4.5H52V3.5H0V4.5Z\" fill=\"transparent\"><\/path><\/svg>\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t<span class=\"elementor-button-text\">Learn More<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-32a9fdc e-con-full botton-row pt-43 e-flex e-con e-child\" data-id=\"32a9fdc\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-d50f30b elementor-align-left btn-bb-red vlg elementor-widget elementor-widget-button\" data-id=\"d50f30b\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm\" href=\"https:\/\/www.toshiba.eu\/cambridge-research-laboratory\/embodied-ai\/\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-icon\">\n\t\t\t\t<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"53\" height=\"8\" viewBox=\"0 0 53 8\" fill=\"none\"><path d=\"M52.3536 4.35355C52.5488 4.15829 52.5488 3.84171 52.3536 3.64645L49.1716 0.464466C48.9763 0.269204 48.6597 0.269204 48.4645 0.464466C48.2692 0.659728 48.2692 0.976311 48.4645 1.17157L51.2929 4L48.4645 6.82843C48.2692 7.02369 48.2692 7.34027 48.4645 7.53553C48.6597 7.7308 48.9763 7.7308 49.1716 7.53553L52.3536 4.35355ZM0 4.5H52V3.5H0V4.5Z\" fill=\"transparent\"><\/path><\/svg>\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t<span class=\"elementor-button-text\">back to Embodied AI<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-130b7e4 e-con-full e-flex e-con e-parent\" data-id=\"130b7e4\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-ee7bcf6 elementor-widget elementor-widget-template\" data-id=\"ee7bcf6\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"template.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-template\">\n\t\t\t\t\t<div data-elementor-type=\"section\" data-elementor-id=\"6468\" class=\"elementor elementor-6468\" data-elementor-post-type=\"elementor_library\">\n\t\t\t<div class=\"elementor-element elementor-element-2b6079c latest-pub-qig pt-83 pb-47 container-1746 e-flex e-con-boxed e-con e-parent\" data-id=\"2b6079c\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t<div class=\"elementor-element elementor-element-cbc7936 e-con-full col-left pr-112 e-flex e-con e-child\" data-id=\"cbc7936\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-6c38791 crl-dual-head pb-26 font-62 elementor-widget elementor-widget-exad-exclusive-dual-heading\" data-id=\"6c38791\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"exad-exclusive-dual-heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\r\n        <div class=\"exad-dual-heading\">\r\n            <div class=\"exad-dual-heading-wrapper\">\r\n            \r\n                <h2 class=\"exad-dual-heading-title\">\r\n                                    <span class=\"first-heading\">Vision &amp; Learning Group<\/span>\r\n                    <span class=\"second-heading\">Latest Publications<\/span>\r\n                                    <\/h2>\r\n\r\n                                    <p class=\"exad-dual-heading-description\">Information contained in news and other announcements is current on the date of posting, but subject to change without notice.<\/p>\r\n                  \r\n\r\n            <\/div>\r\n        <\/div>\r\n        \t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-9c17ee7 elementor-align-left btn-bb-red lp-btn elementor-widget elementor-widget-button\" data-id=\"9c17ee7\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm\" href=\"\/cambridge-research-laboratory\/publications_category\/vision-learning-group\/\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-icon\">\n\t\t\t\t<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"53\" height=\"8\" viewBox=\"0 0 53 8\" fill=\"none\"><path d=\"M52.3536 4.35355C52.5488 4.15829 52.5488 3.84171 52.3536 3.64645L49.1716 0.464466C48.9763 0.269204 48.6597 0.269204 48.4645 0.464466C48.2692 0.659728 48.2692 0.976311 48.4645 1.17157L51.2929 4L48.4645 6.82843C48.2692 7.02369 48.2692 7.34027 48.4645 7.53553C48.6597 7.7308 48.9763 7.7308 49.1716 7.53553L52.3536 4.35355ZM0 4.5H52V3.5H0V4.5Z\" fill=\"transparent\"><\/path><\/svg>\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t<span class=\"elementor-button-text\">See What's New<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-61edf12 e-con-full col-right e-flex e-con e-child\" data-id=\"61edf12\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-df5cfa4 elementor-grid-1 pp-equal-height-yes lp-post elementor-widget__width-inherit elementor-grid-tablet-1 elementor-grid-mobile-1 elementor-widget elementor-widget-pp-posts\" data-id=\"df5cfa4\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"pp-posts.template\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"pp-posts-container\">\n\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t<div class=\"pp-posts pp-posts-skin-template elementor-grid pp-posts-grid\" data-query-type=\"custom\" data-layout=\"grid\" data-page=\"6468\" data-skin=\"template\">\n\t\t\t\t\t\t\t\t\t\t\t<div class=\"pp-post-wrap pp-grid-item-wrap elementor-grid-item post-8167 latest-publication type-latest-publication status-publish hentry publications_category-embodied-ai 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url('https:\/\/www.toshiba.eu\/cambridge-research-laboratory\/wp-content\/uploads\/2025\/02\/ToshibaSans-Regular.ttf') format('truetype');\n}\n@font-face {\n\tfont-family: 'Toshiba Sans';\n\tfont-style: normal;\n\tfont-weight: 500;\n\tfont-display: auto;\n\tsrc: url('https:\/\/www.toshiba.eu\/cambridge-research-laboratory\/wp-content\/uploads\/2025\/02\/ToshibaSans-Medium.ttf') format('truetype');\n}\n@font-face {\n\tfont-family: 'Toshiba Sans';\n\tfont-style: normal;\n\tfont-weight: bold;\n\tfont-display: auto;\n\tsrc: url('https:\/\/www.toshiba.eu\/cambridge-research-laboratory\/wp-content\/uploads\/2025\/02\/ToshibaSans-Bold.ttf') format('truetype');\n}\n\/* End Custom Fonts CSS *\/<\/style>\t\t<div data-elementor-type=\"loop-item\" data-elementor-id=\"5261\" class=\"elementor elementor-5261 e-loop-item e-loop-item-8167 post-8167 latest-publication type-latest-publication status-publish hentry publications_category-embodied-ai publications_category-vision-learning-group ast-article-single\" data-elementor-post-type=\"elementor_library\" data-custom-edit-handle=\"1\">\n\t\t\t<div data-pp-template-widget-id=\"ee29110-7726\" class=\"elementor-pp-element-ee29110-7726 elementor-element elementor-element-ee29110 e-con-full pub-content pb-34 e-flex e-con e-parent\" data-id=\"ee29110\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div data-pp-template-widget-id=\"f9ed225-8167\" class=\"elementor-pp-element-f9ed225-8167 elementor-element elementor-element-f9ed225 font-15 elementor-widget elementor-widget-text-editor\" data-id=\"f9ed225\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t2025\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div data-pp-template-widget-id=\"b29bdd0-8167\" class=\"elementor-pp-element-b29bdd0-8167 elementor-element elementor-element-b29bdd0 font-25 pt-19 pb-9 elementor-widget elementor-widget-theme-post-title elementor-page-title elementor-widget-heading\" data-id=\"b29bdd0\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"theme-post-title.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h4 class=\"elementor-heading-title elementor-size-default\"><a href=\"https:\/\/openaccess.thecvf.com\/content\/WACV2025\/papers\/Logothetis_NPL-MVPS_Neural_Point-Light_Multi-View_Photometric_Stereo_WACV_2025_paper.pdf\" target=\"_blank\" rel=\"noopener\">NPLMV-PS: Neural Point-Light Multi-View Photometric Stereo<\/a><\/h4>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div data-pp-template-widget-id=\"9c3f25e-8167\" class=\"elementor-pp-element-9c3f25e-8167 elementor-element elementor-element-9c3f25e font-15 elementor-widget elementor-widget-text-editor\" data-id=\"9c3f25e\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>F Logothetis, I Budvytis, R Cipolla<\/p>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div data-pp-template-widget-id=\"405d361-8167\" class=\"elementor-pp-element-405d361-8167 elementor-element elementor-element-405d361 font-15 pb-36 elementor-widget elementor-widget-text-editor\" data-id=\"405d361\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\tWACV 2025\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div data-pp-template-widget-id=\"c67fb5d-8167\" class=\"elementor-pp-element-c67fb5d-8167 elementor-element elementor-element-c67fb5d elementor-align-left btn-rm elementor-widget elementor-widget-button\" data-id=\"c67fb5d\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<div 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8H9.19141V7H8.19141V8Z\" fill=\"black\"><\/path><\/svg>\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t<span class=\"elementor-button-text\">Read More<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<\/div>\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"pp-post-wrap pp-grid-item-wrap elementor-grid-item post-8168 latest-publication type-latest-publication status-publish hentry publications_category-embodied-ai publications_category-vision-learning-group\">\n\t\t\t\t\t\t<div class=\"pp-post pp-grid-item\">\n\t\t\t\t<div class=\"elementor-template\"><style>.elementor-5261 .elementor-element.elementor-element-ee29110{--display:flex;--flex-direction:column;--container-widget-width:100%;--container-widget-height:initial;--container-widget-flex-grow:0;--container-widget-align-self:initial;--flex-wrap-mobile:wrap;--gap:0px 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{\n\tfont-family: 'Toshiba Sans';\n\tfont-style: normal;\n\tfont-weight: bold;\n\tfont-display: auto;\n\tsrc: url('https:\/\/www.toshiba.eu\/cambridge-research-laboratory\/wp-content\/uploads\/2025\/02\/ToshibaSans-Bold.ttf') format('truetype');\n}\n\/* End Custom Fonts CSS *\/<\/style>\t\t<div data-elementor-type=\"loop-item\" data-elementor-id=\"5261\" class=\"elementor elementor-5261 e-loop-item e-loop-item-8168 post-8168 latest-publication type-latest-publication status-publish hentry publications_category-embodied-ai publications_category-vision-learning-group ast-article-single\" data-elementor-post-type=\"elementor_library\" data-custom-edit-handle=\"1\">\n\t\t\t<div data-pp-template-widget-id=\"ee29110-7726\" class=\"elementor-pp-element-ee29110-7726 elementor-element elementor-element-ee29110 e-con-full pub-content pb-34 e-flex e-con e-parent\" data-id=\"ee29110\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div data-pp-template-widget-id=\"f9ed225-8168\" class=\"elementor-pp-element-f9ed225-8168 elementor-element elementor-element-f9ed225 font-15 elementor-widget elementor-widget-text-editor\" data-id=\"f9ed225\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t2025\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div data-pp-template-widget-id=\"b29bdd0-8168\" class=\"elementor-pp-element-b29bdd0-8168 elementor-element elementor-element-b29bdd0 font-25 pt-19 pb-9 elementor-widget elementor-widget-theme-post-title elementor-page-title elementor-widget-heading\" data-id=\"b29bdd0\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"theme-post-title.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h4 class=\"elementor-heading-title elementor-size-default\"><a href=\"https:\/\/proceedings.neurips.cc\/paper_files\/paper\/2024\/file\/19f7f755908372efb25826d61959cdf9-Paper-Conference.pdf\" target=\"_blank\" rel=\"noopener\">Recurrent Reinforcement Learning with Memoroids<\/a><\/h4>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div data-pp-template-widget-id=\"9c3f25e-8168\" class=\"elementor-pp-element-9c3f25e-8168 elementor-element elementor-element-9c3f25e font-15 elementor-widget elementor-widget-text-editor\" data-id=\"9c3f25e\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>S Morad, C Lu, R Kortvelesy, S Liwicki, J Foerster, A Prorok<\/p>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div data-pp-template-widget-id=\"405d361-8168\" class=\"elementor-pp-element-405d361-8168 elementor-element elementor-element-405d361 font-15 pb-36 elementor-widget elementor-widget-text-editor\" data-id=\"405d361\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\tNeurIPS 2024\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div data-pp-template-widget-id=\"c67fb5d-8168\" class=\"elementor-pp-element-c67fb5d-8168 elementor-element elementor-element-c67fb5d elementor-align-left btn-rm elementor-widget elementor-widget-button\" data-id=\"c67fb5d\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm\" href=\"https:\/\/proceedings.neurips.cc\/paper_files\/paper\/2024\/file\/19f7f755908372efb25826d61959cdf9-Paper-Conference.pdf\" rel=\"noopener\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span 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url('https:\/\/www.toshiba.eu\/cambridge-research-laboratory\/wp-content\/uploads\/2025\/02\/ToshibaSans-Light.ttf') format('truetype');\n}\n@font-face {\n\tfont-family: 'Toshiba Sans';\n\tfont-style: normal;\n\tfont-weight: 400;\n\tfont-display: auto;\n\tsrc: url('https:\/\/www.toshiba.eu\/cambridge-research-laboratory\/wp-content\/uploads\/2025\/02\/ToshibaSans-Regular.ttf') format('truetype');\n}\n@font-face {\n\tfont-family: 'Toshiba Sans';\n\tfont-style: normal;\n\tfont-weight: 500;\n\tfont-display: auto;\n\tsrc: url('https:\/\/www.toshiba.eu\/cambridge-research-laboratory\/wp-content\/uploads\/2025\/02\/ToshibaSans-Medium.ttf') format('truetype');\n}\n@font-face {\n\tfont-family: 'Toshiba Sans';\n\tfont-style: normal;\n\tfont-weight: bold;\n\tfont-display: auto;\n\tsrc: url('https:\/\/www.toshiba.eu\/cambridge-research-laboratory\/wp-content\/uploads\/2025\/02\/ToshibaSans-Bold.ttf') format('truetype');\n}\n\/* End Custom Fonts CSS *\/<\/style>\t\t<div data-elementor-type=\"loop-item\" data-elementor-id=\"5261\" class=\"elementor elementor-5261 e-loop-item e-loop-item-8169 post-8169 latest-publication type-latest-publication status-publish hentry publications_category-embodied-ai publications_category-vision-learning-group ast-article-single\" data-elementor-post-type=\"elementor_library\" data-custom-edit-handle=\"1\">\n\t\t\t<div data-pp-template-widget-id=\"ee29110-7726\" class=\"elementor-pp-element-ee29110-7726 elementor-element elementor-element-ee29110 e-con-full pub-content pb-34 e-flex e-con e-parent\" data-id=\"ee29110\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div data-pp-template-widget-id=\"f9ed225-8169\" class=\"elementor-pp-element-f9ed225-8169 elementor-element elementor-element-f9ed225 font-15 elementor-widget elementor-widget-text-editor\" data-id=\"f9ed225\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t2024\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div data-pp-template-widget-id=\"b29bdd0-8169\" class=\"elementor-pp-element-b29bdd0-8169 elementor-element elementor-element-b29bdd0 font-25 pt-19 pb-9 elementor-widget elementor-widget-theme-post-title elementor-page-title elementor-widget-heading\" data-id=\"b29bdd0\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"theme-post-title.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h4 class=\"elementor-heading-title elementor-size-default\"><a href=\"https:\/\/openaccess.thecvf.com\/content\/WACV2024\/papers\/Logothetis_A_Neural_Height-Map_Approach_for_the_Binocular_Photometric_Stereo_Problem_WACV_2024_paper.pdf\" target=\"_blank\" rel=\"noopener\">A Neural Height-Map Approach for the Binocular Photometric Stereo Problem<\/a><\/h4>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div data-pp-template-widget-id=\"9c3f25e-8169\" class=\"elementor-pp-element-9c3f25e-8169 elementor-element elementor-element-9c3f25e font-15 elementor-widget elementor-widget-text-editor\" data-id=\"9c3f25e\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>F Logothetis, I Budvytis, R Cipolla<\/p>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div data-pp-template-widget-id=\"405d361-8169\" class=\"elementor-pp-element-405d361-8169 elementor-element elementor-element-405d361 font-15 pb-36 elementor-widget elementor-widget-text-editor\" data-id=\"405d361\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\tWACV 2024\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div data-pp-template-widget-id=\"c67fb5d-8169\" class=\"elementor-pp-element-c67fb5d-8169 elementor-element elementor-element-c67fb5d 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More<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-6eb6e9e e-con-full e-flex e-con e-parent\" data-id=\"6eb6e9e\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-da3f7c6 elementor-widget elementor-widget-template\" data-id=\"da3f7c6\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"template.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-template\">\n\t\t\t\t\t<div data-elementor-type=\"section\" data-elementor-id=\"552\" class=\"elementor elementor-552\" data-elementor-post-type=\"elementor_library\">\n\t\t\t<div class=\"elementor-element elementor-element-b1e3327 big-card pb-38 e-flex e-con-boxed e-con e-parent\" data-id=\"b1e3327\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t<div class=\"elementor-element elementor-element-3e9aaf4 e-con-full card-content e-flex e-con e-child\" data-id=\"3e9aaf4\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-8959040 font-52 pb-6 elementor-widget elementor-widget-heading\" data-id=\"8959040\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Vacancies<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-4e50eff elementor-align-left btn-txt-white elementor-widget elementor-widget-button\" data-id=\"4e50eff\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm\" href=\"https:\/\/careers.toshiba.eu\/Home\/Job?lstRegion=1&#038;lstdepartment=12&#038;chkCategory=15\" rel=\"noopener\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-icon\">\n\t\t\t\t<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"53\" height=\"8\" viewBox=\"0 0 53 8\" fill=\"none\"><path d=\"M52.3536 4.35355C52.5488 4.15829 52.5488 3.84171 52.3536 3.64645L49.1716 0.464466C48.9763 0.269204 48.6597 0.269204 48.4645 0.464466C48.2692 0.659728 48.2692 0.976311 48.4645 1.17157L51.2929 4L48.4645 6.82843C48.2692 7.02369 48.2692 7.34027 48.4645 7.53553C48.6597 7.7308 48.9763 7.7308 49.1716 7.53553L52.3536 4.35355ZM0 4.5H52V3.5H0V4.5Z\" fill=\"transparent\"><\/path><\/svg>\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t<span class=\"elementor-button-text\">Learn More<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-252a4dd e-con-full e-flex e-con e-parent\" data-id=\"252a4dd\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-254b122 elementor-widget elementor-widget-template\" data-id=\"254b122\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"template.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-template\">\n\t\t\t\t\t<div data-elementor-type=\"section\" data-elementor-id=\"557\" class=\"elementor elementor-557\" data-elementor-post-type=\"elementor_library\">\n\t\t\t<div class=\"elementor-element elementor-element-e4f4860 outro-cards pb-82 e-flex e-con-boxed e-con e-parent\" data-id=\"e4f4860\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t<div class=\"elementor-element elementor-element-903217a e-con-full out-card e-flex e-con e-child\" data-id=\"903217a\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t<div class=\"elementor-element elementor-element-78f6ea1 e-con-full card-content e-flex e-con e-child\" data-id=\"78f6ea1\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-3e3121a font-26 elementor-widget elementor-widget-heading\" data-id=\"3e3121a\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h4 class=\"elementor-heading-title elementor-size-default\">Newsroom<\/h4>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-c407530 elementor-align-left btn-txt-white elementor-widget elementor-widget-button\" data-id=\"c407530\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm\" href=\"\/cambridge-research-laboratory\/news\/\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-icon\">\n\t\t\t\t<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"53\" height=\"8\" viewBox=\"0 0 53 8\" fill=\"none\"><path d=\"M52.3536 4.35355C52.5488 4.15829 52.5488 3.84171 52.3536 3.64645L49.1716 0.464466C48.9763 0.269204 48.6597 0.269204 48.4645 0.464466C48.2692 0.659728 48.2692 0.976311 48.4645 1.17157L51.2929 4L48.4645 6.82843C48.2692 7.02369 48.2692 7.34027 48.4645 7.53553C48.6597 7.7308 48.9763 7.7308 49.1716 7.53553L52.3536 4.35355ZM0 4.5H52V3.5H0V4.5Z\" fill=\"transparent\"><\/path><\/svg>\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t<span class=\"elementor-button-text\">Learn More<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-9ef5d6c e-con-full out-card e-flex e-con e-child\" data-id=\"9ef5d6c\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t<div class=\"elementor-element elementor-element-692e946 e-con-full card-content e-flex e-con e-child\" data-id=\"692e946\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-ff12981 font-26 elementor-widget elementor-widget-heading\" data-id=\"ff12981\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h4 class=\"elementor-heading-title elementor-size-default\">Global R &amp; D<\/h4>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-9bd39c1 elementor-align-left btn-txt-white elementor-widget elementor-widget-button\" data-id=\"9bd39c1\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm\" href=\"https:\/\/www.global.toshiba\/ww\/technology\/corporate\/rdc.html\" rel=\"noopener\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-icon\">\n\t\t\t\t<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"53\" height=\"8\" viewBox=\"0 0 53 8\" fill=\"none\"><path d=\"M52.3536 4.35355C52.5488 4.15829 52.5488 3.84171 52.3536 3.64645L49.1716 0.464466C48.9763 0.269204 48.6597 0.269204 48.4645 0.464466C48.2692 0.659728 48.2692 0.976311 48.4645 1.17157L51.2929 4L48.4645 6.82843C48.2692 7.02369 48.2692 7.34027 48.4645 7.53553C48.6597 7.7308 48.9763 7.7308 49.1716 7.53553L52.3536 4.35355ZM0 4.5H52V3.5H0V4.5Z\" fill=\"transparent\"><\/path><\/svg>\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t<span class=\"elementor-button-text\">Learn More<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>VLG Resources Home CRL Embodied AI Vision &amp; Learning VLG Resources Photometric Stereo Retrieving geometric information provided from shading images [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":1708,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"site-sidebar-layout":"no-sidebar","site-content-layout":"","ast-site-content-layout":"full-width-container","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"disabled","ast-breadcrumbs-content":"","ast-featured-img":"disabled","footer-sml-layout":"","ast-disable-related-posts":"","theme-transparent-header-meta":"default","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"set","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center 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center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"footnotes":""},"class_list":["post-1778","page","type-page","status-publish","hentry"],"acf":[],"_links":{"self":[{"href":"https:\/\/www.toshiba.eu\/cambridge-research-laboratory\/wp-json\/wp\/v2\/pages\/1778","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.toshiba.eu\/cambridge-research-laboratory\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.toshiba.eu\/cambridge-research-laboratory\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.toshiba.eu\/cambridge-research-laboratory\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.toshiba.eu\/cambridge-research-laboratory\/wp-json\/wp\/v2\/comments?post=1778"}],"version-history":[{"count":99,"href":"https:\/\/www.toshiba.eu\/cambridge-research-laboratory\/wp-json\/wp\/v2\/pages\/1778\/revisions"}],"predecessor-version":[{"id":7533,"href":"https:\/\/www.toshiba.eu\/cambridge-research-laboratory\/wp-json\/wp\/v2\/pages\/1778\/revisions\/7533"}],"up":[{"embeddable":true,"href":"https:\/\/www.toshiba.eu\/cambridge-research-laboratory\/wp-json\/wp\/v2\/pages\/1708"}],"wp:attachment":[{"href":"https:\/\/www.toshiba.eu\/cambridge-research-laboratory\/wp-json\/wp\/v2\/media?parent=1778"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}