| Week | Number | Papers | Presenter |
| Week 3 | #1 |
Using Contours to Detect and Localize Junctions in Natural Images M. Maire, P. Arbelaez, C. Fowlkes, and J. Malik. CVPR 2008 Learning to Detect Natural Image Boundaries Using Local Brightness, Color, and Texture Cues D. Martin, C. Fowlkes, and J. Malik. PAMI May 2004. Probability of Boundary Code |
Varun |
| Week 4 | #2 |
TextonBoost: Joint Appearance, Shape and Context Modeling for
Multi-Class Object Recognition and Segmentation. J. Shotton, J. Winn, C. Rother, A. Criminisi. In Proc. ECCV 2006. (optional) Journal version of TextonBoost TextonBoost Code Semantic Texton Forests for Image Categorization and Segmentation. J. Shotton, M. Johnson, R. Cipolla. In Proc. IEEE CVPR 2008. |
Dan |
| Week 5 | #3 |
A Discriminatively Trained, Multiscale, Deformable Part Model P. Felzenszwalb, D. McAllester, D. Ramanan, In Proc. IEEE CVPR 2008. code |
Edward |
| Week 6 | #4 |
Object Recognition by Scene Alignment B. C. Russell, A. Torralba, C. Liu, R. Fergus, W. T. Freeman In NIPS, 2007. code for gist descriptor SIFT flow: dense correspondence across different scenes C. Liu, J. Yuen, A. Torralba, J. Sivic, and W. T. Freeman. ECCV, 2008. project page |
Brian |
| Week 7 | #5 |
Contextual priming for object detection A. Torralba. IJCV, Vol. 53(2), 169-191, 2003. Object detection and localization using local and global features K. Murphy, A. Torralba, D. Eaton, W. T. Freeman. Sicily workshop on object recognition, 2005. (see also The context challenge) |
Ekaterina |
| Week 7 | #6 |
Objects in Context Andrew Rabinovich, Andrea Vedaldi, Carolina Galleguillos, Eric Wiewiora and Serge Belongie. ICCV 2007. Context Based Object Categorization: A Critical Survey Carolina Galleguillos and Serge Belongie Technical Report UCSD CS2008-0928, 2008. |
Utsav |
| Week 8 | #7 |
Learning a Classification Model for Segmentation. Xiaofeng Ren and Jitendra Malik. in ICCV 2003. project page Image Segmentation by Data-Driven Markov Chain Monte Carlo. Z. Tu and S. C. Zhu, PAMI, vol.24, no.5, pp. 657-673, May, 2002. project page |
Pyry |
| #8 |
A Simple High Performance Approach to Semantic Segmentation Gabriela Csurka, Florent Perronnin. In BMVC 2008. |
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| Week 9 | #9 |
Depth estimation from image structure A. Torralba, A. Oliva. PAMI Vol. 24(9): 1226-1238. 2003. Depth Information by Stage Classification. Vladimir Nedovic, Arnold W.M. Smeulders, Andre Redert and Jan-Mark Geusebroek. ICCV 2007. Learning Depth from Single Monocular Images Ashutosh Saxena, Sung H. Chung, Andrew Y. Ng. In NIPS 2005. |
Jiyan |
| Week 10 | #10 |
Total
Recall: Automatic Query Expansion with a Generative Feature Model for Object Retrieval Chum, O. , Philbin, J. , Sivic, J. , Isard, M. and Zisserman, A. In ICCV 2007. |
Mark |
| Week 11 | #11 |
Sharing visual features for multiclass and multiview object detection A. Torralba, K. P. Murphy and W. T. Freeman PAMI. vol. 29, no. 5, pp. 854-869, May, 2007. Sharing Features Code |
Yuandong |
| Week 11 | #12 |
Learning compositional models for object categories from small sample sets J. Porway, B. Yao, and S.C. Zhu Book Chapter in Sven Dickinson et al (eds.) Object Categorization: Computer and Human Vision Perspectives, Cambridge University Press. 2009 A Stochastic Grammar of Images Song-Chun Zhu and David Mumford Foundations and Trends in Computer Graphics and Vision Vol. 2, No 4. 2007. |
Zhaoyin |
| Week 12 | #13 |
Learning Realistic Human Actions from Movies. Ivan Laptev, Marcin Marszalek, Cordelia Schmid and Benjamin Rozenfeld. in Proc. CVPR'08 project page |
Scott |
| #14 |
Learning the discriminative power-invariance trade-off. M. Varma and D. Ray. In ICCV 2007. project page |