Please scroll down for all the paper downloads.
Lecture |
Date |
Description |
Readings |
Presenter |
1 |
Wed, Sep 23
|
Class introduction |
|
|
|
Wed, Sep 30 |
Class cancelled Make-up Session: 9am - 12pm, Fri Oct 9 |
|
|
2 |
Wed, Oct 7 |
Course project papers |
2 students |
|
3 |
Fri, Oct 9 9am - 12pm |
Object recognition tutorial |
Fei-Fei |
|
4 |
Wed, Oct 14 |
Pictorial structure |
|
|
5 |
Wed, Oct 21 |
3D object categorization |
1 student |
|
6 |
Wed, Oct 28 |
Object in context; Project proposal due |
2 students |
|
7 |
Wed, Nov 4 |
Natural scene understanding |
1 student |
|
8 |
Wed, Nov 11 |
Total scene understanding |
2 students |
|
9 |
Wed, Nov 18 |
Human action recognition |
1 student |
|
|
Wed, Nov 25 |
NO CLASS, Thanksgiving break |
|
|
10 |
Wed, Dec 2 |
Video analysis |
1 student |
|
11 |
TBA |
Course project presentation |
||
|
Fri, Dec 4 |
Course project due |
References
Lecture #2:
J. Deng, W. Dong, R. Socher, L.-J. Li, K. Li and L. Fei-Fei. (2009) ImageNet: A Large-Scale Hierarchical Image Database, To Appear in IEEE Computer Vision and Pattern Recognition (CVPR).
N. Ikizler and D.A. Forsyth (2008) Searching for Complex Human Activities with No Visual Examples, Int. J. Computer Vision. Vol. 80, no. 3, pp. 337-357.
Lecture #3:
L. Fei-fei, R. Fergus, and A. Torralba. (2006) Recognizing and learning object categories, http://people.csail.mit.edu/torralba/iccv2005, Tutorial presented at ICCV 2005 pages visited Feb. 7, 2006.
Lecture #4:
P. Felzenszwalb, D. Huttenlocher. (2004) Efficient Graph-Based Image Segmentation, International Journal of Computer Vision (IJCV) 59(2):167-181.
P. Felzenszwalb, R. Girshick, D. McAllester, D. Ramanan. (2009) Object Detection with Discriminatively Trained Part-Based Models, IEEE Pattern Analysis and Machine Intelligence (PAMI). Accepted for publication.
Lecture #5:
S. Savarese and L. Fei-Fei. (2007) 3D generic object categorization, localization and pose estimation, IEEE International Conference in Computer Vision (ICCV). 2007.
*M. Sun, *H. Su, S. Savarese and L. Fei-Fei. (2009) A Multi-View Probabilistic Model for 3D Object Classes, To appear in IEEE Computer Vision and Pattern Recognition (CVPR) (*indicates equal contributions)
Lecture #6:
D. Hoiem, A. Efros, and M. Herbert. (2006) Putting Objects in Perspective, Proc. IEEE International Conf. Computer Vision and Pattern Recognition (CVPR).
A. Gupta, L. Davis. (2008) Beyond Nouns: Exploiting Prepositions and Comparative Adjectives for Learning Visual Classifiers, Proceedings of the 10th European Conference on Computer Vision: Part I.
Lecture #7:
L. Fei-Fei, R. VanRuellen, C. Koch and P. Perona. (2005) Why does natural scene categorization require little attention? Exploring attentional requirements for natural and synthetic stimuli, Visual Cognition. 12(6): pp. 893-924.
S. Lazebnik, C. Schmid, and J. Ponce, Beyond Bags of Features: Spatial Pyramid Matching for Recognizing Natural Scene Categories, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, New York, June 2006, vol. II, pp. 2169-2178.
Lecture #8:
L.-J. Li, R. Socher and L. Fei-Fei. (2009) Towards Total Scene Understanding:Classification, Annotation and Segmentation in an Automatic Framework, To appear in Computer Vision and Pattern Recognition (CVPR). (Oral)
B. Yao, X. Yang, Liang Lin, M.W. Lee, and S.C. Zhu. (2009) I2T: Image Parsing to Text Description, Proceedings of IEEE, (under review, invited for the special issue on Internet Vision).
Lecture #9:
I. Laptev, M. Marszałek, C. Schmid and B. Rozenfeld. (2008) Learning realistic human actions from movies, in Proc. CVPR'08, Anchorage, US.
B. Babenko, M.H. Yang, S.J. Belongie. (2009) Visual tracking with online Multiple Instance Learning, in Proc. CVPR'09, pp. 983-990.
Lecture #10:
A. Gupta, P. Srinivasan, J. B. Shi, L.S. Davis. (2009) Understanding videos, constructing plots learning a visually grounded storyline model from annotated videos, in Proc. CVPR'09 pp. 2012-2019.
Y. Ke, R. Sukthankar, and M. Hebert. Event Detection in Crowded Videos, ICCV, 2007.