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Mateusz Malinowski
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We put our tutorial on Visual Turing Test, also Visual Question Answering, from the Summer School on Integrating Language with Vision (Malta'16) publicly available. 

Tutorial is self-paced and uses iPython Notebook: https://github.com/mateuszmalinowski/visual_turing_test-tutorial/blob/master/visual_turing_test.ipynb

Tutorial is written using a framework around Keras/Theano.
To run you need among others Keras-3.3. More details can be found in README: https://github.com/mateuszmalinowski/visual_turing_test-tutorial
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We put our tutorial on Visual Turing Test, also Visual Question Answering, from the Summer School on Integrating Language with Vision (Malta'16) publicly available. 

Tutorial is self-paced and uses iPython Notebook: https://github.com/mateuszmalinowski/visual_turing_test-tutorial/blob/master/visual_turing_test.ipynb

Tutorial is written using a framework around Keras/Theano.
Photo

Post has attachment
We put our tutorial on Visual Turing Test, also Visual Question Answering, from the Summer School on Integrating Language with Vision (Malta'16) publicly available. 

Tutorial is self-paced and uses iPython Notebook: https://github.com/mateuszmalinowski/visual_turing_test-tutorial/blob/master/visual_turing_test.ipynb

Tutorial is written using a framework around Keras/Theano.
Photo

Post has attachment
We put our tutorial on Visual Turing Test, also Visual Question Answering, from the Summer School on Integrating Language with Vision (Malta'16) publicly available. 

Tutorial is self-paced and uses iPython Notebook: https://github.com/mateuszmalinowski/visual_turing_test-tutorial/blob/master/visual_turing_test.ipynb

Tutorial is written using a framework around Keras/Theano.
Photo

Post has attachment
We put our tutorial on Visual Turing Test, aka Visual Question Answering, from the Summer School on Integrating Language with Vision (Malta'16) publicly available. 

Tutorial is self-paced and uses iPython Notebook: https://github.com/mateuszmalinowski/visual_turing_test-tutorial/blob/master/visual_turing_test.ipynb

Tutorial is written using a framework around Keras/Theano.
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It took me much longer than expected,
but I finally got around updating the "Who is the best at X ?" listing.
The updates are mainly on the classification task.

As always feel free to submit new entries, or send suggestions for improvement.

http://rodrigob.github.io/are_we_there_yet/build/
now hosts 200+ results across multiple datasets. 

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Our new neural-based approach to automatically answer questions about the content of images. The work will appear at ICCV'15.

Paper: http://arxiv.org/abs/1505.01121

Project: https://www.d2.mpi-inf.mpg.de/visual-turing-challenge

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Our new neural-based approach to automatically answer questions about the content of images. The work will appear at ICCV'15.

Paper: http://arxiv.org/abs/1505.01121

Project: https://www.d2.mpi-inf.mpg.de/visual-turing-challenge

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Our new neural-based approach to automatically answer questions about the content of images. The work will appear at ICCV'15.

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It is cool to see more and more computer vision in wild.
Dear AI Enthusiasts,

My name is Tomasz and I've been building computer vision systems (you can them robot eyes or visual artificial intelligence) for the last 10 years. My PhD is from CMU's Robotics Institute. Last September I left my colleagues at MIT to create a startup designed to bring this kind of technology to your fingertips. We are the in middle of a Kickstarter campaign which is designed to bring computer vision technology to the masses.

With our web app and vision API, you'll be able to integrate state-of-the-art object recognition into your creative projects. We are looking for backers, feedback, and some more FB/G+/twitter shares so all creative types get a chance to learn what we're all about.

Let's make 2014 the year of the maker, the year of the hacker! Google is buying up robotics companies, but why should they have all the fun?
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