1. A. Berg: What makes recognition algorithms work?

2. G. Csurka, E. Gaussier, F. Pacull, F. Perronnin, J-M. Renders: Image and Multimedia Categorization

3. T. Darrell, A. Quattoni, M. Collins: Multi-task learning of Predictive Structures for Visual Category Learning

4. O. Duchenne, J-Y. Audibert: Fast interactive segmentation using color and textural information

5. R. Fergus, A. Torralba: The World of Objects

6. A. Hoogs, R. Collins: Object Boundary Detection in Images using a Semantic Ontology

7. H. Jegou: Improving projection-based approximate nearest neighbors search

8. A. Kushal, C. Schmid, J. Ponce: Weakly Supervised Learning of Models for Multi-View Object Recognition

9. I. Laptev: Improvements of Object Detection Using Boosted Histograms

10. J. Lasserre: Principled Hybrids of Generative and Discriminative Models

11. S. Lazebnik, M. Raginsky: Learning Nearest Neighbor Quantizers from Labeled Data by Information Loss Minimization

12. B. Leibe, K. Mikolajcyk, B. Schiele: Segmentation-Based Multi-Cue Integration for Object Detection

13. M. Marszalek, C. Schmid, J. Zhang, S. Lazebnik: Bag-of-features image representation: state-of-the-art and beyond

14. K. Mikolajczyk: Efficient Clustering and Matching of Local Features

15. T. Miller: Building Datasets Using Words and Pictures

16. B. Ommer: Learning Top-Down Grouping of Compositional Hierarchies for Recognition

17. A. Opelt, A. Pinz, A. Zisserman: Fusing shape and appearance information for object category detection

18. A. Pinz: Categorization-Driven Segmentation: Active Shape Models for Categories

19. B. Russell, A. Efros, J. Sivic, W. Freeman, A. Zisserman: Using Multiple Segmentations to Discover Objects and their Extent in Image Collections

20. F. Schroff, A. Criminisi, A. Zisserman: Single-Histogram Class Models for Image Segmentation

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

22. E. Sudderth, A. Torralba, W. Freeman, A. Willsky: Depth from Familiar Objects: A Hierarchical Model for 3D Scenes

23. R. Sukthankar: Boosting Distance Metrics for Improved Recognition

24. C. Williams: On a Connection between Object Localization with a Generative Template of Features and Pose-space Prediction Methods