Talks of Interest - Devi Parikh and Dhruv Batra

We have two visitors whose work has come up in this class. Devi Parikh will give a talk in TSRB in the second floor GVU cafe at 11:00 today (Tuesday). Dhruv Batra will give a talk at the same location on Wednesday. Topics include the Visual Question Answering task that we've addressed in class. Please attend if you can.

Final Presentations - Friday, April 29, 8am

We will have final project presentations this Friday during the final exam slot. Please aim for the same 6 minute presentation length that has been recommended all semester.

As the course syllabus says "Students will also produce a conference-formatted write-up of their project. Projects will be published on the this web page". This will not be due on Friday, but instead Wednesday, May 4th. Also, you have the option of producing either a conference-formatted pdf (download something like the CVPR author toolkit) or a web page with a similar level of detail. The level of detail should be that of a "short paper", i.e. about 4 pages with figures and references. It's OK if the writeup is longer.

Fri, April 22 - Sketchy Database

The Sketchy Database: Learning to Retrieve Badly Drawn Bunnies. Patsorn Sangkloy, Nathan Burnell, Cusuh Ham, James Hays. Siggraph 2016

This is our last paper. The camera ready is tomorrow so the paper will be posted on Thursday.

Edit: Here is the paper. Since I'm making this available so late don't worry about the summaries or questions. Feel free to post if you do have comments, though.

Wed, April 20 - LSDA

LSDA: Large Scale Detection Through Adaptation. Judy Hoffman, Sergio Guadarrama, Eric Tzeng, Ronghang Hu, Jeff Donahue, Ross Girshick, Trevor Darrell, Kate Saenko. 2014.
arXiv

Varun will spend some time discussion this paper first:
Rich feature hierarchies for accurate object detection and semantic segmentation. Ross Girshick, Jeff Donahue, Trevor Darrell, Jitendra Malik. 2014.
arXiv

Mon, April 18 - Adverserial Networks

Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks. Alec Radford, Luke Metz, Soumith Chintala. 2015.

project page, arXiv

Fri, April 15 - no class

Use this free period to work on your semester projects. On Friday it is exactly two weeks until your final presentations during our final exam slot.

Wed, April 13 - A Neural Algorithm of Artistic Style

A Neural Algorithm of Artistic Style. Leon A. Gatys, Alexander S. Ecker, Matthias Bethge. 2015.

implementation, arXiv

Mon, April 11 -- Learning to Generate Chairs

Learning to Generate Chairs, Tables and Cars with Convolutional Networks. Alexey Dosovitskiy, Jost Tobias Springenberg, Maxim Tatarchenko, Thomas Brox. CVPR 2015.

arXiv

Fri, April 8 - Dense Semantic Correspondence

Dense Semantic Correspondence Where Every Pixel is a Classifier. Hilton Bristow, Jack Valmadre, Simon Lucey. ICCV 2015.

arXiv

Wed, April 6 - Visual Madlibs

Visual Madlibs: Fill in the blank Description Generation and Question Answering. Licheng Yu, Eunbyung Park, Alexander C. Berg, Tamara L. Berg. ICCV, 2015.

project page, pdf

Another note -- attendance hasn't been great and many people are arriving to class late. It's vital to have people present for discussions. I do take attendance and as the syllabus says it is part of your grade.

Mon, April 4 - VQA

VQA: Visual Question Answering. S. Antol*, A. Agrawal*, J. Lu, M. Mitchell, D. Batra, C. L. Zitnick, and D. Parikh. ICCV, 2015.

project page, arXiv