| Date | Paper | Presenter |
| 1/8 | Introduction | Deva |
| 1/15 | Pictorial Structures for Object Recognition | Deva |
| 1/22 | Local Image Descriptors (Paper 7) | Tony |
| 1/22 | Efficient recognition with vocab trees (Paper 4) | Ish |
| 1/29 | Feature Correspondence via Graph Matching: Models and Global Optimization | Julian |
| 2/5 | Object class recognition with sparse features and limited receptive feilds (Paper 2) | Kuang-Chih |
| 2/5 | Flexible Object Models for Category-Level 3D Object Recognition (Paper 11) | Levi |
| 2/12 | Multiple Component Learning for Object Detection | Dennis |
| 2/12 | Beyond Nouns: Exploiting Prepositions and Comparative Adjectives for Learning Visual Classifiers (Paper 13) | Ankit |
| 2/19 | Learning Spatial Context: Using Stuff to Find Things | David |
| 2/26 | Image segmentation by branch-and-mincut (Paper 16) | Uddipan |
| 2/26 | Learning CRFs using Graph Cuts | Chaitanya |
| 3/5 | Learning to Localize Objects with Structured Output Regression (Paper 8) | Hamed |
| 3/12 | Multiview action recognition | Ronen |