davidstutz.de

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Title	David
Description	IAM I am a researcher and engineer working on robust and trustworthy artificial intelligence and (3D) computer
Keywords	N/A

Server Information

WebSite	davidstutz.de
Host IP	88.198.176.147
Location	Germany

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davidstutz.de Valuation

US$1,718,840

Last updated: 2022-06-16 06:43:57

davidstutz.de has Semrush global rank of 6,157,818. davidstutz.de has an estimated worth of US$ 1,718,840, based on its estimated Ads revenue. davidstutz.de receives approximately 198,328 unique visitors each day. Its web server is located in Germany, with IP address 88.198.176.147. According to SiteAdvisor, davidstutz.de is safe to visit.

Traffic & Worth Estimates

Purchase/Sale Value	US$1,718,840
Daily Ads Revenue	US$1,587
Monthly Ads Revenue	US$47,599
Yearly Ads Revenue	US$571,184
Daily Unique Visitors	13,222
Note: All traffic and earnings values are estimates.

DNS Records

Host	Type	TTL	Data
davidstutz.de.	A	7199	IP: 88.198.176.147
davidstutz.de.	NS	7200	NS Record: ns3.second-ns.de.
davidstutz.de.	NS	7200	NS Record: ns.second-ns.com.
davidstutz.de.	NS	7200	NS Record: ns1.your-server.de.
davidstutz.de.	MX	7200	MX Record: 10 mail.davidstutz.de.

HtmlToTextCheckTime:2022-06-16 06:43:57

I AM DAVID STUTZ CV ABOUT PROJECTS BLOG CV ABOUT PROJECTS BLOG I am a PhD student at the Max Planck Institute for Informatics supervised by Bernt Schiele as well as Matthias Hein from the University of Tübingen . In 2021, I was a research scientist intern in the robust and verified AI team at DeepMind working with Taylan Cemgil , Krishnamurthy (Dj) Dvijotham and Arnaud Doucet . Throughout my PhD, I also collaborated with Nandhini Chandramoorthy from the IBM T. J. Watson Research Center . I volunteer in the PhdNet survey group. Broadly, my research interests lie in computer vision and machine learning. My academic research addresses robustness of deep neural networks against adversarial examples and adversarial or random bit errors in (quantized) weights. Previously, I worked on weakly-supervised 3D reconstruction and superpixel segmentation. In industry, I worked on various computer vision problems including line segment/kaypoint tracking and pedestrian detection. Generally, I am

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davidstutz.de valuation and analysis