Mon, Feb 1 - ImageNet

ImageNet: A Large-Scale Hierarchical Image Database. J. Deng, W. Dong, R. Socher, L.-J. Li, K. Li and L. Fei-Fei. IEEE Computer Vision and Pattern Recognition (CVPR), 2009

pdf, project page

Fri Jan 29 - AlexNet

ImageNet Classification with Deep Convolutional Neural Networks. Alex Krizhevsky, Ilya Sutskever, Geoffrey E Hinton. NIPS 2012.

pdf

Wed, Jan 27 - Deep Learning Tutorial

This class will be somewhat unusual in that we won't discuss a particular paper. We'll try to make sure that we understand deep learning well enough to follow the papers for the rest of the semester.

CVPR 2014 Tutorial on Deep Learning. Graham Taylor, Marc'Aurelio Ranzato, and Honglak Lee. Read only the first two sets of labeled Introduction and Supervised learning.

CVPR 2014 tutorial

No class Friday

Campus will close at noon so we will not have class on Friday. We will talk about "Learning to predict where humans look" on Monday.

Mon Jan 25: Learning to predict where humans look

This topic is delayed until Monday because of inclement weather.

Paper assignments are up, and a tentative early schedule.

Learning to predict where humans look. T. Judd, K. Ehinger, F. Durand, and A. Torralba. IEEE International Conference on Computer Vision (ICCV), 2009.

Project Page

Wed, Jan 20: Photo Clip Art

Hi Class, I'm going to go ahead and lead another discussion on Wednesday because I don't think I would be giving enough notice for someone else to present.

The image generation topics seemed popular but nobody selected this paper. It's a good paper to read before we get to the later papers.

Photo Clip Art. Jean-Francois Lalonde, Derek Hoeim, Alexei A. Efros, Carsten Rother, John Winn and Antonio Criminisi. ACM Transactions on Graphics (SIGGRAPH 2007).

project page

Fri, Jan 15: MS COCO

Microsoft COCO: Common Objects in Context. Tsung-Yi Lin, Michael Maire, Serge Belongie, James Hays, Pietro Perona, Deva Ramanan, Piotr Dollar, and C. Lawrence Zitnick. ECCV 2014.

Wed, Jan 13 paper: Scene Completion

Scene Completion Using Millions of Photographs. James Hays, Alexei A. Efros. ACM Transactions on Graphics (SIGGRAPH 2007). August 2007, vol. 26, No. 3.

project page.

This is the first paper for which you'll post reading summaries. Here is the description of these summaries from the class website: Students will be expected to read one paper for each class. For each assigned paper, students must write a two or three sentence summary and identify at least one question or topic of interest for class discussion. Interesting topics for discussion could relate to strengths and weaknesses of the paper, possible future directions, connections to other research, uncertainty about the conclusions of the experiments, etc. Reading summaries must be posted to the class blog http://cs7476.blogspot.com/ by 11:59pm the day before each class. Feel free to reply to other comments on the blog and help each other understanding confusing aspects of the papers. The blog discussion will be the starting point for the class discussion. If you are presenting you don't need to post a summary to the blog.

Simply click on the comment link below this to post your short summary and one or more questions / discussion topics.

Partner Search

Hi Class. If you don't know who you want to work with feel free to reply to this thread and perhaps say a bit about what project topics you had in mind, if any. E.g. "I'm James and I'm very interested object proposals or crowdsourcing strategies. Let me know if you want to chat about working together on a project".

Welcome to CS 7476 Advanced Computer Vision

This is the blog where you will post discussion topics and questions for each class. We still need to decide which topics we want to cover. Many suggestions are available on the course website. http://www.cc.gatech.edu/~hays/7476/.

Please answer the poll, as well. It closes on the 18th of January.