Paper list

1. Spatial Pyramid Matching S. Lazebnik, C. Schmid, and J. Ponce, In Object Categorization: Computer and Human Vision Perspectives 08.

2. Object class recognition and localization using sparse features with limited receptive fields Jim Mutch and David G. Lowe, IJCV 08.

3. Learning the discriminative power-invariance trade-off M. Varma and D. Ray, ICCV 07.

4. Scalable Recognition with a Vocabulary Tree D. Nister and H. Stewnius. CVPR 06.

5. Learning Methods for Generic Object Recognition with Invariance to Pose and Lighting Yann LeCun, Fu-Jie Huang and Leon Bottou. CVPR 04
   Original reference on convolutional neural nets.

6. Discriminative Face Alignment Xiaoming Liu, PAMI 08.
   

7. Learning Local Image Descriptors S. Winder and M. Brown, CVPR07.
   A useful reference is this paper on the SIFT descriptor.

8. Learning to Localize Objects with Structured Output Regression Blaschko, M. B. and C. H. Lampert, ECCV 08.

9. The Pyramid Match Kernel: Efficient Learning with Sets of Features K. Grauman and T. Darrell, JMLR 07.

10. Shape guided object segmentation E. Borenstein, and J. Malik, CVPR 06.

11. Flexible Object Models for Category-Level 3D Object Recognition Akash Kushal, Cordelia Schmid and Jean Ponce, CVPR 07.

12. Fast Non-Rigid Surface Detection, Registration, and Realistic Augmentation J. Pilet, V. Lepetit and P. Fua, IJCV 07.

13. Beyond Nouns: Exploiting Prepositions and Comparative Adjectives for Learning Visual Classifiers Abhinav Gupta and Larry Davis, ECCV 08.

14. Towards scalable dataset construction: An active learning approach ECCV08
    A useful reference on dataset issues.

15. Retrieving actions in movies I. Laptev and Perez ICCV07.

16. Image segmentation by branch-and-mincut Victor Lempitsky, Andrew Blake, and Carsten Rother, ECCV 08.