sites.google.com/site/deepgeometry/home

Preview meta tags from the sites.google.com website.

Linked Hostnames

3

Thumbnail

Search Engine Appearance

Google

https://sites.google.com/site/deepgeometry/home

Geometry Meets Deep Learning ECCV 2016 Workshop

Geometry Meets Deep Learning in association with ECCV 2016 October 9th, Grand Hotel Krasnapolsky, Amsterdam, Netherlands Recovering 3D geometry of the world from 2D and 3D visual data is a central task in computer vision. The traditional approaches for geometric vision problems are mostly based on



Bing

Geometry Meets Deep Learning ECCV 2016 Workshop

https://sites.google.com/site/deepgeometry/home

Geometry Meets Deep Learning in association with ECCV 2016 October 9th, Grand Hotel Krasnapolsky, Amsterdam, Netherlands Recovering 3D geometry of the world from 2D and 3D visual data is a central task in computer vision. The traditional approaches for geometric vision problems are mostly based on



DuckDuckGo

https://sites.google.com/site/deepgeometry/home

Geometry Meets Deep Learning ECCV 2016 Workshop

Geometry Meets Deep Learning in association with ECCV 2016 October 9th, Grand Hotel Krasnapolsky, Amsterdam, Netherlands Recovering 3D geometry of the world from 2D and 3D visual data is a central task in computer vision. The traditional approaches for geometric vision problems are mostly based on

  • General Meta Tags

    5
    • title
      Geometry Meets Deep Learning ECCV 2016 Workshop
    • charset
      utf-8
    • viewport
      width=device-width, initial-scale=1
    • X-UA-Compatible
      IE=edge
    • referrer
      origin
  • Open Graph Meta Tags

    5
    • og:title
      Geometry Meets Deep Learning ECCV 2016 Workshop
    • og:type
      website
    • og:url
      https://sites.google.com/site/deepgeometry/home
    • og:description
      Geometry Meets Deep Learning in association with ECCV 2016 October 9th, Grand Hotel Krasnapolsky, Amsterdam, Netherlands Recovering 3D geometry of the world from 2D and 3D visual data is a central task in computer vision. The traditional approaches for geometric vision problems are mostly based on
    • og:image
      https://lh6.googleusercontent.com/znU8p8WDNWcxcdQ1Ppl-SwMrMfKDizjK6O1ehwaTT-Bn_KtSxUVs_fCPs9kvsfa5GISpoo3sgTiwdQqKwr-y67u9Y8qZiCbosY2qhmbu4r-Zr1JvdxkrMWSKPxxFrAtnzg80ghWtIN4JTBbn_NKk88Ze1nKGNMPl5vQx=w1280
  • Item Prop Meta Tags

    6
    • name
      Geometry Meets Deep Learning ECCV 2016 Workshop
    • description
      Geometry Meets Deep Learning in association with ECCV 2016 October 9th, Grand Hotel Krasnapolsky, Amsterdam, Netherlands Recovering 3D geometry of the world from 2D and 3D visual data is a central task in computer vision. The traditional approaches for geometric vision problems are mostly based on
    • url
      https://sites.google.com/site/deepgeometry/home
    • thumbnailUrl
      https://lh6.googleusercontent.com/znU8p8WDNWcxcdQ1Ppl-SwMrMfKDizjK6O1ehwaTT-Bn_KtSxUVs_fCPs9kvsfa5GISpoo3sgTiwdQqKwr-y67u9Y8qZiCbosY2qhmbu4r-Zr1JvdxkrMWSKPxxFrAtnzg80ghWtIN4JTBbn_NKk88Ze1nKGNMPl5vQx=w1280
    • image
      https://lh6.googleusercontent.com/znU8p8WDNWcxcdQ1Ppl-SwMrMfKDizjK6O1ehwaTT-Bn_KtSxUVs_fCPs9kvsfa5GISpoo3sgTiwdQqKwr-y67u9Y8qZiCbosY2qhmbu4r-Zr1JvdxkrMWSKPxxFrAtnzg80ghWtIN4JTBbn_NKk88Ze1nKGNMPl5vQx=w1280
  • Link Tags

    4
    • icon
      https://ssl.gstatic.com/atari/images/public/favicon.ico
    • stylesheet
      https://fonts.googleapis.com/css?family=Lato%3A300%2C300italic%2C400%2C400italic%2C700%2C700italic&display=swap
    • stylesheet
      https://fonts.googleapis.com/css?family=Google+Sans:400,500|Roboto:300,400,500,700|Source+Code+Pro:400,700&display=swap
    • stylesheet
      https://www.gstatic.com/_/atari/_/ss/k=atari.vw.EnIPmMkQPtU.L.X.O/am=AIEBCA/d=1/rs=AGEqA5keVf0eBwFmimhm_Ew-LlUmfK9PKw

Links

7