Connecting missing links: Object discovery from sparse observations using 5 million product images

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 7577 LNCS, Issue PART 6, 2012, Pages 794-807

  Kang, Hongwen ^a   Hebert, Martial ^a   Efros, Alexei A ^a   Kanade, Takeo ^a  

^a Carnegie Mellon University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DATABASE OBJECTS; DISCOVERY ALGORITHM; IMAGE REGIONS; INPUT DATAS; INPUT IMAGE; MULTIPLE VIEWS; PRODUCT IMAGES;

IMAGE SEGMENTATION;

COMPUTER VISION;

EID: 84867845646     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-33783-3_57     Document Type: Conference Paper

References (23)

1. Tuytelaars, T., Lampert, C.H., Blaschko, M.B., Buntine, W.: Unsupervised object discovery: A comparison. IJCV (2009)
2. Sivic, J., Russell, B.C., Efros, A.A., Zisserman, A., Freeman, W.T.: Discovering object categories in image collections. In: ICCV (2005)
3. Russell, B.C., Efros, A.A., Sivic, J., Freeman, W.T., Zisserman, A.: Using multiple segmentations to discover objects and their extent in image collections. In: CVPR (2006)
4. Quack, T., Ferrari, V., Leibe, B., Van Gool, L.: Efficient mining of frequent and distinctive feature configurations. In: ICCV 2007 (2007)
5. Kim, G., Faloutsos, C., Hebert, M.: Unsupervised modeling of object categories using link analysis techniques. In: CVPR (2008)
6. Cho, M., Shin, Y.M., Lee, K.M.: Unsupervised detection and segmentation of identical objects. In: CVPR (2010)
7. Lee, Y.J., Grauman, K.: Object-graphs for context-aware category discovery. In: CVPR (2010)
8. Payet, N., Todorovic, S.: From a Set of Shapes to Object Discovery. In: Daniilidis, K., Maragos, P., Paragios, N. (eds.) ECCV 2010, Part V. LNCS, vol. 6315, pp. 57-70. Springer, Heidelberg (2010)
9. Kang, H., Hebert, M., Kanade, T.: Discovering object instances from scenes of daily living. In: ICCV (2011)
10. Huffman, D.A.: Impossible Objects as Nonsense Sentences. Machine Intelligence 6, 295-323 (1971)
11. Li, L.J., Su, H., Xing, E.P., Fei-Fei, L.: Object bank: A high-level image representation for scene classification & semantic feature sparsification. In: NIPS (2010)
12. Lim, J., Salakhutdinov, R., Torralba, A.: Transfer learning by borrowing examples. In: NIPS (2011)
13. Schroff, F., Treibitz, T., Kriegman, D., Belongie, S.: Pose, illumination and expression invariant pairwise face-similarity measure via doppelgänger list comparison. In: ICCV (2011)
14. Torralba, A., Efros, A.A.: Unbiased look at dataset bias. In: CVPR 2011 (2011)
15. Ke, Y., Tang, X., Jing, F.: The design of high-level features for photo quality assessment. In: CVPR (2006)
16. Felzenszwalb, P.F., Huttenlocher, D.P.: Efficient graph-based image segmentation. IJCV (2004)
17. Mishra, A., Aloimonos, Y.: Active segmentation with fixation. In: ICCV (2009)
18. Arkin, E.M., Chew, L.P., Huttenlocher, D.P., Kedem, K., Mitchell, J.S.B.: An efficiently computable metric for comparing polygonal shapes. PAMI (1991)
19. Dalal, N., Triggs, B.: Histograms of oriented gradients for human detection. In: CVPR (2005)
20. Hays, J., Efros, A.A.: Scene completion using millions of photographs. In: SIGGRAPH (2007)
21. Torralba, A., Fergus, R., Freeman, W.T.: 80 million tiny images: A large data set for nonparametric object and scene recognition. PAMI (2008)
22. Lai, K., Bo, L., Ren, X., Fox, D.: A large-scale hierarchical multi-view rgb-d object dataset. In: ICRA (2011)
23. Brown, M., Lowe, D.: Recognising panoramas. In: Proceedings of the 9th International Conference on Computer Vision, Nice, vol. 2, pp. 1218-1225 (2003)