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members:haeusser [2018/03/05 20:46]
haeusser
members:haeusser [2019/06/04 16:07]
haeusser
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 === About === === About ===
  
-I'm a third-year PhD student in computer science at TUM, doing research in computer vision and machine learning (colloquially known as "artificial intelligence") advised by [[http://vision.in.tum.de/members/cremers|Prof. Daniel Cremers]]. +Please find my dissertation (Doktorarbeit) here: https://mediatum.ub.tum.de/1444880 
 + 
 +finished my PhD in computer science at TUM 2018. My focus was research in computer vision and machine learning (colloquially known as "artificial intelligence") advised by [[http://vision.in.tum.de/members/cremers|Prof. Daniel Cremers]]. 
  
 I hold a Master's degree in physics from the [[http://physics.ucsc.edu|University of California, Santa Cruz (USA)]] and a Bachelor's degree in physics from the LMU Munich where I was working at the [[http://www2.mpq.mpg.de/~haensch/htm_neu/HungerStart.html|cavity quantum optics group]] headed by Prof. T.W. Haensch. I hold a Master's degree in physics from the [[http://physics.ucsc.edu|University of California, Santa Cruz (USA)]] and a Bachelor's degree in physics from the LMU Munich where I was working at the [[http://www2.mpq.mpg.de/~haensch/htm_neu/HungerStart.html|cavity quantum optics group]] headed by Prof. T.W. Haensch.
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 ===== Winter Term 2016/17 ===== ===== Winter Term 2016/17 =====
   * [[teaching:ws2016:mlcv16|Machine Learning for Robotics and Computer Vision]] [4 ECTS]   * [[teaching:ws2016:mlcv16|Machine Learning for Robotics and Computer Vision]] [4 ECTS]
 +
 +===== Summer Term 2018 =====
 +  * [[teaching:ss2018:ctdl|Seminar: Current Trends in Deep Learning]] [4 ECTS]
  
 === Publications === === Publications ===

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Informatik IX
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25.01.2021

Rick Szeliski (University of Washington) will give a talk in the TUM AI lecture series on Jan 28th, 5pm! Livestream

10.12.2020

Frank Dellaert (Georgia Tech) will give a talk in the TUM AI lecture series on Dec 17th, 4pm! Livestream

15.10.2020

Jon Barron (Google) will give a talk in the TUM AI lecture series on Oct 22nd, 9pm! Livestream

02.10.2020

We have five papers accepted to 3DV 2020!

30.09.2020

Our effcient deep network architectures form the AI engine of the project Slow Down COVID-19 at Harvard.

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