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Rodrigo Benenson
Works at Max-Planck-Institut für Informatik
Attends School of life
Lived in Saarbrücken, Germany
727 followers|414,092 views
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Rodrigo Benenson

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Quote of the day: "There is one thing that the Inceptionism pictures are good for: the press now uses those instead of Terminator pictures whenever they talk about AI"

https://www.facebook.com/yann.lecun/posts/10153020543487143
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The ultimate would be if in Terminator 6, they use inceptionism when they show the terminator's vision of the world
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Rodrigo Benenson

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The last few weeks have been a time of neural nets generating stuff. By deep nets we mean recurrent and convolutional neural networks, while the …
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Rodrigo Benenson

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Robotics in 2015 ! (so awesome, so much left to be done)
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Rodrigo Benenson

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This is seems quite cool !
Motion sensing using the doppler effect. Recently I stumbled upon an interesting paper for implementing motion sensing requiring no special hardware, only a speaker and mic! Unfortunately the paper didn't include code to test it, so I decided to reproduce it here on the web!
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Rodrigo Benenson

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Every year edge.org asks a "non-trivial question" to a group of ~100 thinkers. The question of 2015 is 

"What do you think about machines that think ?".

You can enjoy the 185 answers here: http://edge.org/contributors/what-do-you-think-about-machines-that-think
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Rodrigo Benenson

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Tomorrow is going to be an exciting day.  
Success or failure, I am so happy to see my tax money spent on bold adventures that push the boundaries what mankind has achieved.

I wish the best outcome to the ESA mission on Comet 67P.
 
You asked us: can we watch Rosetta and Philae's historic landing event live? Yes you can - via our dedicated Rosetta site: rosetta.esa.int.

Streaming starts at 20:00 CET (19:00 UTC).

Alternative link: http://new.livestream.com/ESA/cometlanding

#cometlanding  
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Rodrigo Benenson

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Here is a good recapitulation of the DARPA Robotics Challenge 2015. Enjoy !
With the DRC over, here's what we learned, and what we have to look forward to
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We just updated our face detection paper project page to include the results from the recently introduced Multi-Attribute Labelled Faces (MALF) dataset.

Our  ECCV2014 methods reach top performance on all major face detection benchmarks: AFW, Pascal Faces, FDDB, and MALF.

We also added the link to presentation video.

The main point of the methods proposed in ECCV2014 is that these are baselines, inspired by 5~10 years old methods (DPM and Viola&Jones). Looking forward to see how much face detection will further improve in the next iterations.
Abstract. Face detection is a mature problem in computer vision. While diverse high performing face detectors have been proposed in the past, we present two surprising new top performance results. First, we show that a properly trained vanilla DPM reaches top performance , improving over ...
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+Markus Mathias Cool, thanks!
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Microsoft accelerates the race towards augmented reality in daily life. I have to say: I am impressed.
 
Hands-on with Microsoft’s unbelievable new holographic goggles http://www.wired.com/2015/01/microsoft-hands-on/ #AR, Project #HoloLens, #Baraboo
The prototype is amazing. It amplifies the special powers that Kinect introduced, using a small fraction of the energy. Project HoloLens’ key achievement—realistic holograms—works by tricking your brain into seeing light as matter.
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Quite impressive demonstration. It somewhat reminds me of the sound quality of international (land-line) phone calls in the 1980s.
Cannot wait to see how awesome this will be in ~10 years.
Microsoft's research department has been building some incredible things of late, and one of them comes from the Skype team and was demoed on stage at..
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Quote of the day: "part of being human is that we jiggle when we move".

Very nice work on human shape reconstruction from sparse motion capture points.
 
Our new Siggraph Asia paper addresses a common problem; that mocap results in unnatural animations.

Mocap systems output skeletons, throwing away all the soft tissue motions of real humans. The result is a lifeless animation.

In contrast, MoSh estimates body shape, pose and soft tissue deformations directly from sparse markers. MoSh turns a mocap system into a body scanner. Animation is driven directly by the markers, preserving subtle nuance.

MoSh captures soft tissue motions without large marker sets. Soft tissue motions make animations more realistic. These can be amplified or attenuated and even retargeted to new characters.

MoSh is automatic, does not need a body scan and can work with any marker set.
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Education
  • School of life
    present
  • École publique rue de l'Ouest, Paris 14ème
  • Alliance Française de Valparaiso
  • UTFSM
  • Mines ParisTech
Story
Introduction
Dreamer, thinker, doer; 
tries to smile as much as he can, 
tries to do as much good as he can.
Work
Occupation
Engineer & Researcher
Employment
  • Max-Planck-Institut für Informatik
    Post-doc researcher, 2013 - present
  • K.U. Leuven
    Post-doc researcher, 2013
  • INRIA
    PhD student
  • Mines ParisTech
    PhD student
Places
Map of the places this user has livedMap of the places this user has livedMap of the places this user has lived
Previously
Saarbrücken, Germany - Leuven, Belgium - Versailles, France - France and Chile - Valparaiso, Chile - Paris, France