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.
16-824: Learning-based Methods in Vision (F'13)
Thursday, November 21, 2013
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:
Abhinav Gupta and Larry S. Davis, Beyond Nouns: Exploiting prepositions and comparative adjectives for learning visual classifiers, In ECCV 2008
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)
Tuesday, November 12, 2013
Reading for 11/14
S. Vijayanarasimhan and K. Grauman. Large-Scale Live Active Learning: Training Object Detectors with Crawled Data and Crowds. CVPR 2011.
And optionally:
B. Siddiquie and A, Gupta, Beyond Active Noun Tagging: Modeling Contextual Interactions for Multi-Class Active Learning, In CVPR 2010.
Thursday, November 7, 2013
reading for 11/12
R. Fergus, Y. Weiss, and A. Torralba Semi-supervised Learning in Gigantic Image Collections. NIPS 2009
and optionally:
A. Shrivastava, S. Singh and A. Gupta. Constrained Semi-Supervised Learning Using Attributes and Comparative Attributes. In ECCV 2012.
Guillaumin, M., Verbeek, J., Schmid, C.: Multimodal semi-supervised learning for image classification. In: CVPR. (2010)
Tuesday, November 5, 2013
Reading for 11/7
Y. J. Lee and K. Grauman. Object-Graphs for Context-Aware Category Discovery. CVPR 2010
And optionally:
Bryan Russell, Alexei A. Efros, Josef Sivic, Bill Freeman, Andrew Zisserman. Using Multiple Segmentations to Discover Objects and their Extent in Image Collections. CVPR 2006
Y. J. Lee and K. Grauman. Learning the Easy Things First: Self-Paced Visual Category Discovery. CVPR 2011
Tuesday, October 29, 2013
Reading for 11/5
Note: No class on 8/31
Lubomir Bourdev, Jitendra Malik, Poselets: Body Part Detectors Trained Using 3D Human Pose Annotations, ICCV 2009
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
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