[CMU AI Seminar] Feb 15 at 12pm (Zoom) -- Christian Theobalt (Max Planck Institute for Informatics) -- Neural Methods for Reconstruction and Rendering of Real World Scenes -- AI Seminar sponsored by Morgan Stanley

[Asher Trockman]

Hi all,

The seminar today by Christian Theobalt on neural rendering is happening
right now!

In case you are interested:
https://cmu.zoom.us/j/99510233317?pwd=ZGx4aExNZ1FNaGY4SHI3Qlh0YjNWUT09

Thanks,
Asher

On Mon, Feb 14, 2022 at 1:51 PM Asher Trockman <ashert at cs.cmu.edu> wrote:

> Hi all,
>
> Just a reminder that the CMU AI Seminar
> <http://www.cs.cmu.edu/~aiseminar/> is tomorrow *12pm-1pm*:
> https://cmu.zoom.us/j/99510233317?pwd=ZGx4aExNZ1FNaGY4SHI3Qlh0YjNWUT09.
>
> Professor *Christian Theobalt (Max Planck Institute for Informatics)* will
> be sharing his research on new neural rendering approaches.
>
> Thanks,
> Asher
>
> On Fri, Feb 11, 2022 at 12:20 PM Asher Trockman <ashert at cs.cmu.edu> wrote:
>
>> Dear all,
>>
>> We look forward to seeing you *next Tuesday (2/15)* from *1**2:00-1:00
>> PM (U.S. Eastern time)* for the next talk of our *CMU AI seminar*,
>> sponsored by Morgan Stanley
>> <https://www.morganstanley.com/about-us/technology/>.
>>
>> To learn more about the seminar series or see the future schedule, please
>> visit the seminar website <http://www.cs.cmu.edu/~aiseminar/>.
>>
>> On 2/15, Professor *Christian Theobalt *(Max Planck Institute for
>> Informatics) will be giving a talk titled "*Neural Methods for
>> Reconstruction and Rendering of Real World Scenes*" to share his
>> research on new neural rendering approaches.
>>
>> *Title*: Neural Methods for Reconstruction and Rendering of Real World
>> Scenes
>>
>> *Talk Abstract*: In this presentation, I will talk about some of the
>> recent work we did on new methods for reconstructing computer graphics
>> models of real world scenes from sparse or even monocular video data. These
>> methods are based on bringing together neural network-based and explicit
>> model-based approaches. I will also talk about new neural rendering
>> approaches that combine explicit model-based and neural network based
>> concepts for image formation in new ways. They enable new means to
>> synthesize highly realistic imagery and videos of real work scenes under
>> user control.
>>
>> *Speaker Bio*: Christian Theobalt is The Scientific Director of the new
>> Visual Computing and Artificial Intelligence Department at the
>> Max-Planck-Institute for Informatics, Saarbrücken, Germany. He is also a
>> Professor of Computer Science at Saarland University, Germany. From 2007
>> until 2009 he was a Visiting Assistant Professor in the Department of
>> Computer Science at Stanford University. He received his MSc degree in
>> Artificial Intelligence from the University of Edinburgh, his Diplom (MS)
>> degree in Computer Science from Saarland University, and his PhD (Dr.-Ing.)
>> from the Max-Planck-Institute for Informatics.
>>
>> In his research he looks at algorithmic problems that lie at the
>> intersection of Computer Graphics, Computer Vision and Machine Learning,
>> such as: static and dynamic 3D scene reconstruction, neural rendering and
>> neural scene representations, marker-less motion and performance capture,
>> virtual humans, virtual and augmented reality, computer animation,
>> intrinsic video and inverse rendering, computational videography, machine
>> learning for graphics and vision, new sensors for 3D acquisition, as well
>> as image- and physically-based rendering. He is also interested in using
>> reconstruction techniques for human computer interaction. For his work, he
>> received several awards, including the Otto Hahn Medal of the Max-Planck
>> Society in 2007, the EUROGRAPHICS Young Researcher Award in 2009, the
>> German Pattern Recognition Award 2012, and the Karl Heinz Beckurts Award in
>> 2017, and the EUROGRAPHICS Outstanding Technical Contributions Award in
>> 2020. He received two ERC grants, an ERC Starting Grant in 2013 and an ERC
>> Consolidator Grant in 2017.
>>
>> *Zoom Link*:
>> https://cmu.zoom.us/j/99510233317?pwd=ZGx4aExNZ1FNaGY4SHI3Qlh0YjNWUT09
>>
>> Thanks,
>> Asher Trockman
>>
>
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