{"version":"1.0","provider_name":"MS Computer Vision Capstone | Team 10","provider_url":"https:\/\/mscvprojects.ri.cmu.edu\/2024team10","title":"Methodology - MS Computer Vision Capstone | Team 10","type":"rich","width":600,"height":338,"html":"<blockquote class=\"wp-embedded-content\" data-secret=\"ZOQag839Ke\"><a href=\"https:\/\/mscvprojects.ri.cmu.edu\/2024team10\/methodology-aviral-agrawal\/\">Methodology<\/a><\/blockquote><iframe sandbox=\"allow-scripts\" security=\"restricted\" src=\"https:\/\/mscvprojects.ri.cmu.edu\/2024team10\/methodology-aviral-agrawal\/embed\/#?secret=ZOQag839Ke\" width=\"600\" height=\"338\" title=\"&#8220;Methodology&#8221; &#8212; MS Computer Vision Capstone | Team 10\" data-secret=\"ZOQag839Ke\" frameborder=\"0\" marginwidth=\"0\" marginheight=\"0\" scrolling=\"no\" class=\"wp-embedded-content\"><\/iframe><script>\n\/*! This file is auto-generated *\/\n!function(d,l){\"use strict\";l.querySelector&&d.addEventListener&&\"undefined\"!=typeof URL&&(d.wp=d.wp||{},d.wp.receiveEmbedMessage||(d.wp.receiveEmbedMessage=function(e){var t=e.data;if((t||t.secret||t.message||t.value)&&!\/[^a-zA-Z0-9]\/.test(t.secret)){for(var s,r,n,a=l.querySelectorAll('iframe[data-secret=\"'+t.secret+'\"]'),o=l.querySelectorAll('blockquote[data-secret=\"'+t.secret+'\"]'),c=new RegExp(\"^https?:$\",\"i\"),i=0;i<o.length;i++)o[i].style.display=\"none\";for(i=0;i<a.length;i++)s=a[i],e.source===s.contentWindow&&(s.removeAttribute(\"style\"),\"height\"===t.message?(1e3<(r=parseInt(t.value,10))?r=1e3:~~r<200&&(r=200),s.height=r):\"link\"===t.message&&(r=new URL(s.getAttribute(\"src\")),n=new URL(t.value),c.test(n.protocol))&&n.host===r.host&&l.activeElement===s&&(d.top.location.href=t.value))}},d.addEventListener(\"message\",d.wp.receiveEmbedMessage,!1),l.addEventListener(\"DOMContentLoaded\",function(){for(var e,t,s=l.querySelectorAll(\"iframe.wp-embedded-content\"),r=0;r<s.length;r++)(t=(e=s[r]).getAttribute(\"data-secret\"))||(t=Math.random().toString(36).substring(2,12),e.src+=\"#?secret=\"+t,e.setAttribute(\"data-secret\",t)),e.contentWindow.postMessage({message:\"ready\",secret:t},\"*\")},!1)))}(window,document);\n\/\/# sourceURL=https:\/\/mscvprojects.ri.cmu.edu\/2024team10\/wp-includes\/js\/wp-embed.min.js\n<\/script>\n","description":"Problem Statement Grasping and manipulating transparent objects poses a significant challenge for robots. Recent work showed neural radiance fields (NeRFs) work well for depth perception in scenes with transparent objects, and these depth maps can be used to grasp transparent objects with high accuracy. NeRF- based depth reconstruction can still struggle with challenging transparent objects &hellip; Continue reading \"\"","thumbnail_url":"https:\/\/mscvprojects.ri.cmu.edu\/2024team10\/wp-content\/uploads\/sites\/108\/2024\/05\/training_views.png"}