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Computational Perception & Cognition

Principal Investigator: Aude Oliva. Today, science and technology is at the threshold of paradigm-shifting discoveries. However, an obstacle remains: as technology grows exponentially, our understanding of the human mind does not. We are approaching an era in which the benefits of a highly technologized society won’t be fully realized unless we are able to understand how humans encode, process, retain, predict and imagine. Highlight: Moments in Time: A Large-Scale Dataset for Event Understanding. The tea...

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Computational Perception & Cognition | cvcl.mit.edu Reviews

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Principal Investigator: Aude Oliva. Today, science and technology is at the threshold of paradigm-shifting discoveries. However, an obstacle remains: as technology grows exponentially, our understanding of the human mind does not. We are approaching an era in which the benefits of a highly technologized society won’t be fully realized unless we are able to understand how humans encode, process, retain, predict and imagine. Highlight: Moments in Time: A Large-Scale Dataset for Event Understanding. The tea...

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Computational Perception & Cognition | cvcl.mit.edu Reviews

https://cvcl.mit.edu

Principal Investigator: Aude Oliva. Today, science and technology is at the threshold of paradigm-shifting discoveries. However, an obstacle remains: as technology grows exponentially, our understanding of the human mind does not. We are approaching an era in which the benefits of a highly technologized society won’t be fully realized unless we are able to understand how humans encode, process, retain, predict and imagine. Highlight: Moments in Time: A Large-Scale Dataset for Event Understanding. The tea...

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cvcl.mit.edu

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Computational Perception & Cognition

http://cvcl.mit.edu/audeoliva.html

Principal Investigator: Aude Oliva. CSAIL (Computer Science and Artificial Intelligence Lab). MIT Computer Vision and Graphics Group. Investigator, Athinoula A. Martinos Imaging Center. MIT, 77 Massachusetts Avenue. Cambridge, MA 02139. Email: oliva@csail.mit.edu. Phone: 617 452 2492. Inspired by strategies from human vision and cognition, we build deep learning models of object and place recognition. To this aim, we are building a core of visual knowledge (e.g.,.

2

Hybrid Images @MIT Marylin and Einstein

http://cvcl.mit.edu/hybrid_gallery/monroe_einstein.html

When you look at the image above, whose face do you see? At normal screen viewing distance you should see the face of the great scientist Albert Einstein. Now squint your eyes or take a few steps back grom the image. Does a certain Hollywood personality pop into view? The Marylin Einstein hybrid image was created by Dr. Aude Oliva for the March 31st 2007 issue of New Scientist magazine. Read the Article in New Scientist Magazine.

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Computational Perception & Cognition

http://cvcl.mit.edu/publications.html

Principal Investigator: Aude Oliva. Zhou, B., Khosla, A., Lapedriza , A., Oliva, A., and Torralba, A. (coming soon). Places: An Image Database for Deep Scene Understanding. Bylinskii, Z., Recasens, A., Borji , A., Oliva, A., Torralba, A. and Durand, F. (in press, 2016). Where should saliency models look next? Proceedings of the European Conference in Computer Vision (ECCV), Amsterdam. Proceedings of Computer Vision and Pattern Recogntion, CVPR 2016. Bainbridge, W.A., Dilks, D., and Oliva, A&#...Khaligh-R...

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Computational Visual Cognition Laboratory @ MIT: News

http://cvcl.mit.edu/hybrid_gallery/steinseriesgallery.html

The hybrid series Eight Einsteins. Was created by Aude Oliva, Antonio Torralba, and Amanda O'Keefe. It is currently on exhibit at the MIT museum in the Mark Epstein Innovation Gallery. Eight Einsteins Press Release.

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Hybrid Images @MIT Gallery

http://cvcl.mit.edu/hybrid_gallery/gallery.html

Disappearance at the desk.

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elsindicatoclandestino.blogspot.com

Marketing singular para tiempos extraños: marzo 2009

http://elsindicatoclandestino.blogspot.com/2009_03_01_archive.html

Márketing singular para tiempos extraños. 191;SE PUEDE SER EINSTEIN Y MARYLIN A LA VEZ? Viernes, marzo 20, 2009 - Posted by ESC - 2 comentarios. Como habréis observado, utilizamos con frecuencia la imagen de Albert Einstein, para muchos el más importante científico del siglo XX. Lo hacemos porque nos fascina su poder icónico, tan útil para representar la inteligencia chispeante. Otro icono del siglo pasado que nos gusta mucho es Marylin Monroe, con toda su potente carga de ingenua sensualidad. Blog de An...

cocosci.mit.edu

MIT Computational Cognitive Science Group - Resources

http://cocosci.mit.edu/resources

MIT Computational Cognitive Science Group. Department of Brain and Cognitive Sciences, MIT. Theory-based Bayesian models of inductive learning and reasoning. The discovery of structural form. Optimal predictions in everyday cognition. A global geometric framework for nonlinear dimensionality reduction. Probabilistic Models of Cognition Tutorial. Josh Tenenbaum and Tom Griffiths:. Tutorial at the Annual Meeting of the Cognitive Science Society 2004 (ppt). Tom Griffiths, Josh Tenenbaum, and Charles Kemp:.

seas.harvard.edu

What makes a data visualization memorable? | Harvard John A. Paulson School of Engineering and Applied Sciences

http://www.seas.harvard.edu/news/2013/10/what-makes-data-visualization-memorable

Skip to main content. Office of the Dean. Learn how your gift supports innovative teaching and cutting-edge research at SEAS. What makes a data visualization memorable? What makes a data visualization memorable? Computer scientists at Harvard and cognitive scientists at MIT team up to settle a debate over "chart junk". October 16, 2013. Different types of visualizations may be intrinsically more or less memorable. (Image courtesy of Michelle Borkin, Harvard SEAS.). Cambridge, Mass. October 16, 2013.

vision.stanford.edu

BAVM 2012 | Bay Area Vision Meeting | Large Scale and Fine Grained Recognition

http://vision.stanford.edu/bavm2012

Bay Area Vision Meeting (BAVM 2012). Large Scale and Fine Grained Recognition. September 14th, 2012. 12:30-6:30pm. 12:30-6:30pm, September 14th, 2012. William R. Hewlett Teaching Center, 370 Serra Mall, Stanford University. August 26th, 2012. September 3rd, 2012 (extended, limited spots, first come first serve). September 3rd, 2012 (extended). On-site registration will be available. Stanford University). Jia Deng. The topic of BAVM 2012 is Large Scale and Fine Grained Recognition. Invited talk: Aude Oliva.

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cvcl.mit.edu

Computational Perception & Cognition

Principal Investigator: Aude Oliva. Today, science and technology is at the threshold of paradigm-shifting discoveries. However, an obstacle remains: as technology grows exponentially, our understanding of the human mind does not. We are approaching an era in which the benefits of a highly technologized society won’t be fully realized unless we are able to understand how humans encode, process, retain, predict and imagine. Highlight: Moments in Time: A Large-Scale Dataset for Event Understanding. The tea...

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