Thursday, November 21, 2013

Final Discussion and Presentations on 11/26

There is no reading for this class.  Instead, we'll have a discussion on future directions in vision research.  Before coming to this class, you should decide what you think is the most important vision problem to work on.  That is, imagine you are a professor deciding on a project for a graduate student.  What should this project focus on?

Finally, don't forget that the final project presentations are from 5-8pm in the same room where our class normally is--NSH 3002.

Tuesday, November 19, 2013

Reading for 11/21

You are required to read the following paper, but not summarize it or comment on the blog.

R. Girshick, J. Donahue, T. Darrell, J. Malik, Rich feature hierarchies for accurate object detection and semantic segmentation . Tech Report, 2013.

And optionally:

Krishnamuruthy and Kollar. Jointly Learning to Parse and Perceive: Connecting Natural Language to the Physical World. Transactions on ACL.

Friday, November 15, 2013

Reading for 11/19

Krizhevsky, A., Sutskever, I. and Hinton, G. E. ImageNet Classification with Deep Convolutional Neural Networks. NIPS 2012

And optinoally:

Q.V. Le, M.A. Ranzato, R. Monga, M. Devin, K. Chen, G.S. Corrado, J. Dean, A.Y. Ng.  Building high-level features using large scale unsupervised learning..  ICML, 2012.

We will also cover the following paper, but we cannot yet post links for download (ask us if you would like a copy):

C. Szegedy, A. Toshev, D. Erhan Deep Neural Networks for Object Detection, NIPS 2013 (in press)

Thursday, November 7, 2013

Tuesday, November 5, 2013

Tuesday, October 29, 2013

Reading for 11/5

Note: No class on 8/31

and optionally:

Saurabh Singh, Abhinav Gupta, Alexei A. Efros. Unsupervised Discovery of Mid-Level Discriminative Patches. In ECCV 2012.

Lubomir Bourdev, Subhransu Maji, Thomas Brox, Jitendra Malik, Detecting People Using Mutually Consistent Poselet Activations, ECCV 2010