Extracting adaptive contextual cues from unlabeled regions

Proceedings of the IEEE International Conference on Computer Vision

Volumn , Issue , 2011, Pages 511-518

  Li, Congcong ^a   Parikh, Devi ^b   Chen, Tsuhan ^a  

^a Cornell University ^*  (United States)

^b TOYOTA TECHNOLOGICAL INSTITUTE AT CHICAGO   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CONTEXTUAL CUE; CONTEXTUAL INFORMATION; CONTEXTUAL REASONING; DATA SETS; META-OBJECTS; OBJECT DETECTION; OBJECT DETECTORS;

ELECTRICAL ENGINEERING;

IMAGE PROCESSING;

EID: 84863018717     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCV.2011.6126282     Document Type: Conference Paper

References (30)

1. MSRC 21-class Dataset. http://research.microsoft.com/enus/projects/ objectclassrecognition/.
2. M. Blaschko and C. Lampert. Object localization with global and local context kernels. In BMVC, 2009.
3. M. Choi, J. Lim, A. Torralba, and A. Willsky. Exploiting hierarchical context on a large database of object categories. In CVPR, 2010.
4. N. Dalal and B. Triggs. Histograms of oriented gradients for human detection. In CVPR, 2005.
5. C. Desai, D. Ramanan, and C. Fowlkes. Discriminative models for multi-class object layout. In ICCV, 2009.
6. S. Divvala, D. Hoiem, J. Hays, A. Efros, and M. Hebert. An empirical study of context in object detection. In CVPR, 2009.
7. M. Everingham, L. Gool, C. Williams, J. Winn, and A. Zisserman. The Pascal Visual Object Classes Challenge. http://pascallin.ecs.soton.ac.uk/ challenges/VOC/.
8. P. Felzenszwalb, R. Girshick, and D. McAllester. Discriminatively trained deformable part models, release 4. http://people.cs.uchicago.edu/pff/ latentrelease4/.
9. P. Felzenszwalb, R. Girshick, D. McAllester, and D. Ramanan. Object detection with discriminatively trained part-based models. PAMI, IEEE Transactions on, 32(9):1627-1645, sep. 2010.
10. C. Galleguillos, B. McFee, S. Belongie, and G. Lanckriet. Multi-class object localization by combining local contextual interactions. In CVPR, 2010.
11. C. Galleguillos, A. Rabinovich, and S. Belongie. Object categorization using co-occurrence, location and appearance. In CVPR, Anchorage, AK, 2008.
12. G. Heitz and D. Koller. Learning spatial context: Using stuff to find things. In ECCV, 2008.
13. D. Hoiem, A. Efros, and M. Hebert. Putting objects in perspective. In CVPR, 2006.
14. S. Kumar and M. Hebert. A hierarchical field framework for unified contextbased classification. In ICCV, 2005.
15. Y. Lee and K. Grauman. Object-graphs for context-aware category discovery. In CVPR, 2010.
16. B. Leibe, A. Leonardis, and B. Schiele. Robust object detection with interleaved categorization and segmentation. Int. J. Comput. Vision, 77:259-289, May 2008.
17. J. Lim, P. Arbel andez, C. Gu, and J. Malik. Context by region ancestry. In ICCV, 2009.
18. K. Murphy, A. Torralba, and W. Freeman. Using the forest to see the trees: A graphical model relating features, objects, and scenes. In NIPS, 2003.
19. D. Parikh, C. Zitnick, and T. Chen. From appearance to context-based recognition: Dense labeling in small images. In CVPR, 2008.
20. D. Parikh, C. Zitnick, and T. Chen. Unsupervised learning of hierarchical spatial structures in images. In CVPR, 2009.
21. D. Park, D. Ramanan, and C. Fowlkes. Multiresolution models for object detection. In ECCV, 2010.
22. A. Rabinovich, A. Vedaldi, C. Galleguillos, E. Wiewiora, and S. Belongie. Objects in context. In ICCV, 2007.
23. N. Rasiwasia and N. Vasconcelos. Holistic context modeling using semantic co-occurrences. In CVPR, 2009.
24. M. Sadeghi and A. Farhadi. Recognition using visual phrases. In CVPR, 2011.
25. E. Sudderth, A. Torralba, W. Freeman, and A. Willsky. Learning hierarchical models of scenes, objects, and parts. In ICCV, 2005.
26. A. Torralba. Contextual priming for object detection. Int. J. Comput. Vision, 53(2):169-191, 2003.
27. A. Torralba, A. Oliva, M. Castelhano, and J. Henderson. Contextual guidance of eye movements and attention in real-world scenes: the role of global features in object search. Psychol Rev, 113(4), 2006.
28. A. Vedaldi, V. Gulshan, M. Varma, and A. Zisserman. Multiple kernels for object detection. In ICCV, 2009.
29. L. Wolf and S. Bileschi. A critical view of context. Int. J. Comput. Vision, 69:251-261, August 2006.
30. B. Yao and L. Fei-Fei. Modeling mutual context of object and human pose in human-object interaction activities. In CVPR, 2010.