{"id":504,"date":"2023-10-30T14:48:56","date_gmt":"2023-10-30T14:48:56","guid":{"rendered":"https:\/\/wp.lancs.ac.uk\/h-unique\/?p=504"},"modified":"2023-10-30T14:48:56","modified_gmt":"2023-10-30T14:48:56","slug":"latest-research","status":"publish","type":"post","link":"https:\/\/wp.lancs.ac.uk\/h-unique\/2023\/10\/30\/latest-research\/","title":{"rendered":"Latest Research"},"content":{"rendered":"\n<p>A new rearch paper authored by Dr. Zheheng Jiang was presented at the <strong>2023 IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR)<\/strong> in Vancouver, Canada.<\/p>\n\n\n\n<p>Titled <strong>A Probabilistic Attention Model with Occlusion-aware Texture Regression for 3D Hand Reconstruction from a Single RGB Image<\/strong>, this paper describes a groundbreaking method of constructing a 3-dimensional model of a human hand from one photograph.<\/p>\n\n\n\n<p> It is important to be able to compare structures in 3D to compensate for changes in orientation etc when comparing images<\/p>\n\n\n\n<p>The full paper can be found <a href=\"https:\/\/wp.lancs.ac.uk\/h-unique\/files\/2023\/10\/Jiang23Probabilistic.pdf\">here<\/a>.<\/p>\n\n\n\n<p>Abstract: <\/p>\n\n\n\n<p><em>Recently, deep learning based approaches have shown promising results in 3D hand reconstruction from a single RGB image. These approaches can be roughly divided into model-based approaches, which are heavily dependent on the model\u2019s parameter space, and model-free approaches, which require large numbers of 3D ground truths to reduce depth ambiguity and struggle in weakly-supervised scenar- ios. To overcome these issues, we propose a novel proba- bilistic model to achieve the robustness of model-based ap- proaches and reduced dependence on the model\u2019s param- eter space of model-free approaches. The proposed prob- abilistic model incorporates a model-based network as a prior-net to estimate the prior probability distribution of joints and vertices. An Attention-based Mesh Vertices Un- certainty Regression (AMVUR) model is proposed to cap- ture dependencies among vertices and the correlation be- tween joints and mesh vertices to improve their feature rep- resentation. We further propose a learning based occlusion- aware Hand Texture Regression model to achieve high- fidelity texture reconstruction. We demonstrate the flexibil- ity of the proposed probabilistic model to be trained in both supervised and weakly-supervised scenarios. The experi- mental results demonstrate our probabilistic model\u2019s state- of-the-art accuracy in 3D hand and texture reconstruction from a single image in both training schemes, including in the presence of severe occlusions.<\/em><\/p>\n","protected":false},"excerpt":{"rendered":"<p>A new rearch paper authored by Dr. Zheheng Jiang was presented at the 2023 IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR) in Vancouver, Canada. Titled A Probabilistic Attention Model with Occlusion-aware Texture Regression for 3D Hand Reconstruction from a Single RGB Image, this paper describes a groundbreaking method of constructing a 3-dimensional model [&hellip;]<\/p>\n","protected":false},"author":1516,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"default","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":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","ast-disable-related-posts":"","theme-transparent-header-meta":"","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-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[3],"tags":[],"class_list":["post-504","post","type-post","status-publish","format-standard","hentry","category-publications"],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/wp.lancs.ac.uk\/h-unique\/wp-json\/wp\/v2\/posts\/504","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/wp.lancs.ac.uk\/h-unique\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/wp.lancs.ac.uk\/h-unique\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/wp.lancs.ac.uk\/h-unique\/wp-json\/wp\/v2\/users\/1516"}],"replies":[{"embeddable":true,"href":"https:\/\/wp.lancs.ac.uk\/h-unique\/wp-json\/wp\/v2\/comments?post=504"}],"version-history":[{"count":1,"href":"https:\/\/wp.lancs.ac.uk\/h-unique\/wp-json\/wp\/v2\/posts\/504\/revisions"}],"predecessor-version":[{"id":505,"href":"https:\/\/wp.lancs.ac.uk\/h-unique\/wp-json\/wp\/v2\/posts\/504\/revisions\/505"}],"wp:attachment":[{"href":"https:\/\/wp.lancs.ac.uk\/h-unique\/wp-json\/wp\/v2\/media?parent=504"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/wp.lancs.ac.uk\/h-unique\/wp-json\/wp\/v2\/categories?post=504"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/wp.lancs.ac.uk\/h-unique\/wp-json\/wp\/v2\/tags?post=504"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}