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Christopher Kanan's Home Page – Advancing artificial intelligence using deep learning.

Christopher Kanan creates deep learning algorithms capable of lifelong learning and goal-directed understanding of images and videos.

http://www.chriskanan.com/

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Christopher Kanan's Home Page – Advancing artificial intelligence using deep learning. | chriskanan.com Reviews
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Christopher Kanan creates deep learning algorithms capable of lifelong learning and goal-directed understanding of images and videos.
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Christopher Kanan's Home Page – Advancing artificial intelligence using deep learning. | chriskanan.com Reviews

https://chriskanan.com

Christopher Kanan creates deep learning algorithms capable of lifelong learning and goal-directed understanding of images and videos.

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1

Refereed Publications – Christopher Kanan's Home Page

http://www.chriskanan.com/publications

Christopher Kanan's Home Page. Studying intelligence in brains and machines. Kafle, K., Kanan. 2016) Answer-Type Prediction for Visual Question Answering. Proceedings of IEEE Computer Vision and Pattern Recognition Conference 2016 (CVPR-2016). Visual Question Answering, Deep Learning. We combined deep learning with a conditional version of Quadratic Discriminant Analysis to do Visual Question Answering. Yousefhussien, M., Browning, N.A., and Kanan, C. 2016) Online Tracking using Saliency. This paper desc...

2

Top-Down Saliency – Christopher Kanan's Home Page

http://www.chriskanan.com/top-down-saliency

Christopher Kanan's Home Page. Studying intelligence in brains and machines. In Kanan et al. (2009). To develop SUN we used the LabelMe dataset. There is a lot of work left to do, but our models are gradually getting better. Kanan, C., Tong, M. H., Zhang, L., & Cottrell, G. W. (2009). SUN: Top-down saliency using natural statistics.

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Consulting – Christopher Kanan's Home Page

http://www.chriskanan.com/consulting

Christopher Kanan's Home Page. Studying intelligence in brains and machines. Please email me to inquire about consulting services for your project. Send email to: chriskanan@gmail.com.

4

NIMBLE – Christopher Kanan's Home Page

http://www.chriskanan.com/nimble

Christopher Kanan's Home Page. Studying intelligence in brains and machines. In Kanan and Cottrell (2010). We developed an object recognition system called NIMBLE that achieved state-of-the-art performance, as of early 2010, on popular face and object datasets in computer vision. Most object recognition systems have only one chance to recognize an object in an image. They take in an image, compute some features, and then decide what is in the image. MATLAB code implementing an animated NIMBLE demo. MATLA...

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Christopher Kanan's Blog

http://www.chriskanan.com/blog

Christopher Kanan's Home Page. Studying intelligence in brains and machines. Statistics on Computer Science Professors at America’s Best Universities. Jeff Huang posted a bunch of computer science professor hiring statistics on his site. Unlike the statistics I gathered previously (see this post and this one), he had his students use crowdsourcing so he has a much larger database consisting of over 2000 professors at 51 top US universities. Consistent …. June 2, 2014. Post-PhD Careers: Teaching Professor.

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The Cottrell Lab

http://cseweb.ucsd.edu/groups/guru/index.html

Aka GURU: Gary's Unbelievable Research Unit. S lab at the University of California, San Diego. UCSD) investigates the mechanisms that underlie cognition in animals and people using computational modeling. Some projects have also advanced the state-of-the-art in machine learning and computer vision. Our work is highly interdisciplinary and draws on findings in psychology, neuroscience, machine learning, computer vision, and behavioral economics. Sparse principal component analysis. Wang, P., Gauthier,...

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Christopher Kanan's Home Page. Advancing artificial intelligence using deep learning. I’m an Assistant Professor in the Carlson Center for Imaging Science at the Rochester Institute of Technology (RIT). I direct the Machine and Neuromorphic Perception Laboratory (a.k.a., kLab). Won a $352K grant from USAF Materiel Command as Co-PI (Andreas Savakis is PI)! Our DVQA paper that does VQA for data visualizations was accepted to CVPR-2018! Our FearNet paper for lifelong learning was accepted to ICLR-2018!

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