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Tobias Weyand
Works at Google
Attended RWTH Aachen
Lives in Venice
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Tobias Weyand

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Amazing results on novel view synthesis using deep learning... This is the paper http://arxiv.org/abs/1506.06825

(Via +Kosta Derpanis​)
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Tobias Weyand

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New Paper:

Fixing WTFs: Detecting Image Matches caused by Watermarks, Timestamps, and Frames in Internet Photos

http://www.vision.rwth-aachen.de/projects/fixing-wtfs
Detecting Image Matches caused by Watermarks, Timestamps, and Frames in Internet Photos. examples.png. Summary. A common problem of computer vision applications that are based on Internet photos are false-positive matches caused by Watermarks, Timestamps, and Frames (WTFs) superimposed on the ...
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WTF. Cool name :D
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Project Tango wouldn't be possible without the decades of research from around the world that has gone into computer vision and robotics. We thought it appropriate to highlight some of this great work and show how it has direct impact on the future of mobile devices with a more human-like sense of space and movement.

These are just a small portion of the many great engineers whose work has gone into Project Tango. But it's some amazing stuff and I hope everyone enjoys this look behind the scenes of some phenomenal research labs.
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Put together a little tool to create 3D point clouds from the depth maps that Google Camera's new Lens Blur feature generates: https://github.com/0xtob/gcam2ply
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ICCV2013  Conference videos are now available !
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Googlers forked my favorite physics library Box2D to add fluid dynamics support.
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A good article on academia's broken relationship with software.
Regardless of what you might think of the ubiquity of the "Big Data" meme, it's clear that the growing size of datasets is changing the way we approach the world around us. This is true in fields from industry to government to media to academia and virtually everywhere in between.
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Tobias Weyand

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All of these images were computer generated!

For the last few weeks, Googlers have been obsessed with an internal visualization tool that Alexander Mordvintsev in our Zurich office created to help us visually understand some of the things happening inside our deep neural networks for computer vision.  The tool essentially starts with an image, runs the model forwards and backwards, and then makes adjustments to the starting image in weird and magnificent ways.  

In the same way that when you are staring at clouds, and you can convince yourself that some part of the cloud looks like a head, maybe with some ears, and then your mind starts to reinforce that opinion, by seeing even more parts that fit that story ("wow, now I even see arms and a leg!"), the optimization process works in a similar manner, reinforcing what it thinks it is seeing.  Since the model is very deep, we can tap into it at various levels and get all kinds of remarkable effects.

Alexander, +Christopher Olah, and Mike Tyka wrote up a very nice blog post describing how this works:

http://googleresearch.blogspot.com/2015/06/inceptionism-going-deeper-into-neural.html

There's also a bigger album of more of these pictures linked from the blog post:

https://goo.gl/photos/fFcivHZ2CDhqCkZdA

I just picked a few of my favorites here.
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There's a new podcast on machine learning called Talking Machines. The first episode sounds promising. http://www.thetalkingmachines.com/blog/
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I have a little favor to ask: For an upcoming paper, I'm creating a new public ground truth for evaluating landmark recognition systems. If you have a bit of time, it would be awesome if you could help me out with creating the annotations. It's super-easy and fun! Here's how it works:

https://docs.google.com/presentation/d/1Af6EEXdf6i6Fu0kVUxPK-y94zjzexbILEV6jQTWPJF4/pub?start=false&loop=false&delayms=3000

The annotation tool is here:

http://recog.vision.rwth-aachen.de:31415/

Every little contribution counts! Thank you already for your help and please spread the word!
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Ich bin leider zu dumm dazu am Handy...
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I'm quite impressed with the lens blur feature in the new Google Camera. The first photo was taken with a 35mm lens at f/1.8, the second was taken with a Nexus 5.
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Whoa! Google releases a ton of useful datasets!
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People
Have him in circles
150 people
Kelly Smith's profile photo
Guozhi Zou's profile photo
Jó Ágila Bitsch's profile photo
How Videos's profile photo
Andrei Bursuc's profile photo
Arne Mauser's profile photo
Siyu Tang's profile photo
Yii Wood's profile photo
Klaus Naumann's profile photo
Education
  • RWTH Aachen
    2015
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  • Google
    present
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Aachen - Paris
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Sehr nett und super lecker! Unbedingt das Cornelius-Bräu probieren!
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