Welcome back to Beyond the Patterns.

Today I have the great pleasure to announce Prof. Dr. Daniel Kremers from TU Munich.

So he is a very well-known scientist in the field of computer vision and machine intelligence.

And if you don't know him, just let me shortly introduce him.

So he received his PhD in computer science in 2002 from the University of Mannheim, Germany.

Then he spent two years as a postdoctoral researcher at the University of California

at Los Angeles and one year as a permanent researcher at Siemens Corporate Research in

Princeton.

From 2005 until 2009 he was associate professor at the University of Bonn.

Since 2009 he holds the chair of computer vision and artificial intelligence at the

Technical University of Munich.

His publications received numerous awards including the best paper of the year 2003

award from the International Pattern Recognition Society, the Olympus Award 2004 from the German

Society for Pattern Recognition and the 2005 UCLA Chancellor's Award for postdoctoral

research.

For pioneering research he received five grants from the European Research Council including

a starting grant, a consolidated grant and an advanced grant.

In 2018 he organized the largest ever European conference on computer vision in Munich.

He is a member of the Bavarian Academy of Sciences and Humanities.

In December 2010 he was listed among Germany's top 40 researchers below 40 and on March 1st

2016 he received the Gottfried Wilhelm Leibniz Award, the biggest award in German academia.

He is also a co-founder of several companies, most recently the high-tech startup Artisense.

So it's a great pleasure to welcome Professor Kremers here and I'm very much looking forward

to his presentation and it's entitled Deep Direct Visual Slam.

Daniel glad to have you here and the stage is yours.

Thank you Andreas, it's a great pleasure to be here, it's a great pleasure to be part

of the series and to give a glimpse into our research.

Yes, my name is Daniel Kremers, you introduced me nicely so there's nothing more I can add

except that the work that I'm presenting today has been done largely by some current and

former PhD students of mine in particular Nan Yang, Lukas von Stumberg, Rui Wang, Jacob

Engel and Martin Oswald.

Maybe a bit of background information about what we do in Munich.

I hope you can see the slides, yes I'm heading the chair of computer vision and artificial

intelligence at TU Munich, in particular running the computer vision group.

We have at this point about some 30 employees, mostly PhD students and some post-docs and

we work on quite a range of topics in the field of computer vision, machine learning,

robotics and related areas and it's a little bit, you know, not enough time really to go

into all the different topics that we're working on and so I'm going to give you a glimpse

into one specific area today.

Beyond running my own team, I'm also involved in a lot of activities, some of you may know

that TU Munich is very much restructuring itself, for some reason TU Munich is continuously

restructuring itself and here again we are now changing to a system where the departments

are merged into schools, larger schools, so there are going to be a number of schools

that combine departments such as informatics, mathematics and electrical engineering into

one big school and in addition, crossing these schools there are so-called integrated research

centres, I think seven of them at this point.

Two of them I am involved in, one is the Munich School of Robotics and Machine Intelligence,

short MSRM and another integrated research centre is the Munich Data Science Institute

where I'm one of the directors.

Maybe a bit more about these integrated research centres, the idea is really that they try