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.

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

Berg et. al. Understanding and Predicting Importance in Images. CVPR 2012

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

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)

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:

J. Donahue and K. Grauman. Annotator Rationales for Visual Recognition.  ICCV 2011

B. Siddiquie and A, Gupta, Beyond Active Noun Tagging: Modeling Contextual Interactions for Multi-Class Active Learning, In CVPR 2010.

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)

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

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

Reading for 10/29

Bangpeng Yao and Li Fei-Fei, Modeling Mutual Context of Object and Human Pose in Human-Object Interaction Activities, In CVPR 2010

And optionally:

Abhinav Gupta and Larry S. Davis, Objects in Action: An Approach for Combining Action Understanding and Object Perception, In CVPR 2007

Abhinav Gupta, Scott Satkin, Alexei A. Efros and M. Hebert, From 3D Scene Geometry to Human Workspace. In CVPR 2011.

Reading for 10/24

Guest lecture from Leonid Sigal--but you still have to read/summarize/post to the blog as usual.

Book Chapter on Human Pose Estimation: http://www.ics.uci.edu/~dramanan/papers/people_chapter.pdf 

And optionally:

Y. Yang, D. Ramanan. Articulated Human Detection with Flexible Mixtures of Parts IEEE Pattern Analysis and Machine Intelligence (PAMI).

P. Felzenszwalb, D. Huttenlocher. Efficient Matching of Pictorial Structures. CVPR 2000

M. Andriluka, S. Roth, B. Schiele,  Pictorial Structures Revisited: People Detection and Articulated Pose Estimation, CVPR, 2009.

Reading for 10/22

Juan Carlos Niebles and Li Fei-Fei. A Hierarchical Model of Shape and Appearance for Human Action Classification. IEEE Computer Vision and Pattern Recognition (CVPR), Minneapolis, 2007

And optionally:

H. Wang, M. M. Ullah, A. Kläser, I. Laptev and C. Schmid, Evaluation of local spatio-temporal features for action recognition, BMVC, 2009.

Abhinav Gupta, Praveen Srinivasan, Jianbo Shi and Larry S. Davis, Understanding Videos, Constructing Plots: Learning a Visually Grounded Storyline Model from Annotated Videos, In CVPR 2009.

W. Brendel and S. Todorvic,  Learning Spatiotemporal Graphs of Human Activities, ICCV 2011

Reading for 10/17

D. Hoiem, A.A. Efros, and M. Hebert, Putting Objects in Perspective, IJCV 2008.

and optionally

A. Torralba. Contextual priming for object detection. IJCV 2003.

Galleguillos C., Belongie S., Context Based Object Categorization: A Critical Survey. CVIU

Reading for 10/15

Note that all readings this class are optional (Abhinav is presenting).  

V. Hedau, D. Hoiem, and D.A. Forsyth. Recovering the Spatial Layout of Cluttered Rooms. ICCV 2009

D. Hoiem, A.A. Efros, and M. Hebert. Geometric Context from a Single Image. ICCV 2005

Abhinav Gupta, Alexei A. Efros and M. Hebert, Blocks World Revisited: Image Understanding Using Qualitative Geometry and Mechanics. In ECCV 2010.

Reading for 10/10

J. Lim, R. Salakhutdinov and A. Torralba, Transfer Learning by Borrowing Examples for Multiclass Object Detection, NIPS, 2011.

and optionally:

K. Saenko, B. Kulis, M. Fritz and T. Darrell, Adapting Visual Category Models to New Domains, ECCV, 2010.


Ian Endres, Vivek Srikumar, Ming-wei Chang, and Derek Hoiem, Learning Shared Body Plans. CVPR, 2012.

Reading for 10/8

Ali Farhadi, Ian Endres, Derek Hoiem, David Forsyth, Describing Objects by their Attributes, CVPR 2009

And optionally:

Neeraj Kumar, Alex Berg, Peter Belhumer, Shree Nayar. Attribute and Simile Classifiers for Face Verification. ICCV 2009

Devi Parikh and K. Grauman, Relative Attributes, ICCV 2011.

Reading for 10/3

M. Hejrati, D. Ramanan. Analyzing 3D Objects in Cluttered Images Neural Info. Proc. Systems (NIPS), Lake Tahoe, NV, Dec 2012.

And optionally:

Bojan Pepik, Michael Stark, Peter Gehler, Bernt Schiele, Teaching 3D Geometry to Deformable Part Models,CVPR 2012.

Reading for 10/1

P. Felzenszwalb, R. Girshick, D. McAllester, D. Ramanan, Object Detection with Discriminatively Trained Part-Based Models, IEEE Pattern Analysis and Machine Intelligence (PAMI). Sept 2010.

And optionally:

Tomasz Malisiewicz, Abhinav Gupta, Alexei A. Efros, Ensemble of Exemplar-SVMs for Object Detection and Beyond, In ICCV 2011.

B. Hariharan, J. Malik, D. Ramanan. Discriminative Decorrelation for Clustering and Classification, ECCV 2012.

Reading for 9/26

Daniel Munoz, Drew Bagnell and Martial Hebert, Stacked Hierarchical Labeling, ECCV 2010.

And optionally:

TextonBoost: Joint Appearance, Shape and Context Modeling for Multi-Class Object Recognition and Segmentation, J. Shotton, J. Winn, C. Rother, A. Criminisi, ECCV, 2006.

Nonparametric Scene Parsing via Label Transfer, C. Liu, J. Yuen and A. Torralba, IEEE TPAMI, May, 2011.

Reading for 9/24

P. Arbelaez, M. Maire, C. Fowlkes and J. Malik, Contour Detection and Hierarchical Image Segmentation, IEEE Transactions on Pattern Analysis and Machine Intelligence. May 2011.

And optionally:

X. Ren and J. Malik, Learning a Classification Model for Segmentation, ICCV, 2003

Joao Carreira, Cristian Sminchisescu. Constrained parametric min-cuts for automatic object segmentation. CVPR 2010.

The reading for Thursday 9/19 is:

S. Lazebnik, C. Schmid, and J. Ponce. Beyond Bags of Features: Spatial Pyramid Matching for Recognizing Natural Scene Categories. CVPR 2006.

And optionally:

Oliva, A. Torralba. Modeling the shape of the scene: a holistic representation of the spatial envelope. IJCV 2001.

J. Xiao, J. Hays, K. Ehinger, A. Oliva, and A. Torralba. SUN Database: Large-scale Scene Recognition from Abbey to Zoo. IEEE Conference on Computer Vision and Pattern Recognition (CVPR2010)

You will need to come in to class with printed paper summaries.  You will also need to post something to this blog.  Use the "comment" function to this post.  You can argue for or against something in the paper, or ask a question, or respond to another comment/question.

Here's Zhiding's review.

-Carl

This blog exists!

Once the semester gets going, there will be a post here for every assigned reading, and your job will be to comment and have a discussion.  For a preview of what we'll be talking about, visit our course website.