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Title | Ronald Clark - Computer Vision, visual SLAM, AI, Deep Learning, Sensing Reality, Reality Capture, |
Description | Ronald Clark is a computer vision researcher working in the area of 3D vision. His research interests include visual SLAM, scene understanding, optimization methods, generative models and deep |
Keywords | N/A |
WebSite | ronnieclark.co.uk |
Host IP | 75.2.70.75 |
Location | United States |
Site | Rank |
US$369,165
Last updated: 2022-11-03 16:28:33
ronnieclark.co.uk has Semrush global rank of 28,670,970. ronnieclark.co.uk has an estimated worth of US$ 369,165, based on its estimated Ads revenue. ronnieclark.co.uk receives approximately 42,596 unique visitors each day. Its web server is located in United States, with IP address 75.2.70.75. According to SiteAdvisor, ronnieclark.co.uk is safe to visit. |
Purchase/Sale Value | US$369,165 |
Daily Ads Revenue | US$341 |
Monthly Ads Revenue | US$10,224 |
Yearly Ads Revenue | US$122,677 |
Daily Unique Visitors | 2,840 |
Note: All traffic and earnings values are estimates. |
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ronnieclark.co.uk. | A | 3600 | IP: 75.2.70.75 |
ronnieclark.co.uk. | A | 3600 | IP: 99.83.190.102 |
ronnieclark.co.uk. | NS | 3600 | NS Record: ns71.domaincontrol.com. |
ronnieclark.co.uk. | NS | 3600 | NS Record: ns72.domaincontrol.com. |
ronnieclark.co.uk. | MX | 3600 | MX Record: 10 mailstore1.secureserver.net. |
ronnieclark.co.uk. | MX | 3600 | MX Record: 0 smtp.secureserver.net. |
ronnieclark.co.uk. | TXT | 3600 | TXT Record: google-site-verification=UVNc6nN-t-CRQZ04UQos2DbTh0OZj5mRspYvsuGETxA |
Ronald Clark Home Publications Team Teaching Dr Ronald Clark Imperial College Research Fellow ronald.clark(at)imperial.ac.uk Biography Since October 2019 I hold an Imperial College Research Fellowship and serve as the principal investigator for my project on "Machine Learning for Light Field Capture and Rendering". Prior to this I was a postdoctoral research fellow at the Dyson Robotics Lab . I did my PhD at the University of Oxford Department of Computer Science where I held an EPSRC scholarship. I got my MSc in Electrical Engineering from the University of the Witwatersrand in South Africa. Research Our world is inherently 3D, yet most of computer vision has (and is still) focussed on simple 2D tasks. I believe that any intelligent system that can robustly understand, interact and analyse the real world, will need to build and maintain native 3D representations that change and update over time. My research is currently focussed on building the necessary algorithmic frameworks to |
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