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Every Picture Tells a Story: Generating Sentences from Images

Farhadi, Ali, Hejrati, Mohsen, Sadeghi, Mohammad Amin, Young, Peter, Rashtchian, Cyrus, Hockenmaier, Julia, Forsyth, David·2010·Lecture Notes in Computer Science
DOI 10.1007/978-3-642-15561-1_2
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Research works printed but not linked: 25

  1. Barnard, K., Duygulu, P., Forsyth, D.: Clustering art. In: CVPR, vol. II, pp. 434–441 (2001) · doi:10.1109/cvpr.2001.990994
  2. Duygulu, P., Barnard, K., de Freitas, N., Forsyth, D.: Object recognition as machine translation. In: Heyden, A., Sparr, G., Nielsen, M., Johansen, P. (eds.) ECCV 2002. LNCS, vol. 2353, pp. 97–112. Springer, Heidelberg (2002) · DOI · Paper page
  3. Datta, R., Li, J., Wang, J.Z.: Content-based image retrieval: approaches and trends of the new age. In: MIR 2005, pp. 253–262 (2005) · DOI · Paper page
  4. Forsyth, D., Berg, T., Alm, C., Farhadi, A., Hockenmaier, J., Loeff, N., Wang, G.: Words and pictures: Categories, modifiers, depiction and iconography. In: Object Categorization: Computer and Human Vision Perspectives, CUP (2009) · doi:10.1017/cbo9780511635465.010
  5. Phillips, P.J., Newton, E.: Meta-analysis of face recognition algorithms. In: ICAFGR (2002) · DOI
  6. Gupta, A., Davis, L.: Beyond nouns: Exploiting prepositions and comparative adjectives for learning visual classifiers. In: Forsyth, D., Torr, P., Zisserman, A. (eds.) ECCV 2008, Part I. LNCS, vol. 5302, pp. 16–29. Springer, Heidelberg (2008) · DOI
  7. Li, L.J., Fei-Fei, L.: What, where and who? classifying event by scene and object recognition. In: ICCV (2007) · DOI · Paper page
  8. Li, L.J., Socher, R., Fei-Fei, L.: Towards total scene understanding:classification, annotation and segmentation in an automatic framework. In: CVPR (2009) · DOI · Paper page
  9. Gupta, A., Davis, L.: Objects in action: An approach for combining action understanding and object perception. In: CVPR (2007) · DOI · Paper page
  10. Gupta, A., Davis, A.K.,, L.: Observing human-object interactions: Using spatial and functional compatibility for recognition. Trans. on PAMI (2009) · DOI · Paper page
  11. Yao, B., Fei-Fei, L.: Modeling mutual context of object and human pose in human-object interaction activities. In: CVPR (2010) · DOI · Paper page
  12. Berg, T.L., Berg, A.C., Edwards, J., Forsyth, D.A.: Who’s in the picture. In: Advances in Neural Information Processing (2004)
  13. Mensink, T., Verbeek, J.: Improving people search using query expansions: How friends help to find people. In: Forsyth, D., Torr, P., Zisserman, A. (eds.) ECCV 2008, Part II. LNCS, vol. 5303, pp. 86–99. Springer, Heidelberg (2008) · DOI
  14. Luo, J., Caputo, B., Ferrari, V.: Who’s doing what: Joint modeling of names and verbs for simultaneous face and pose annotation. In: NIPS (2009)
  15. Coyne, B., Sproat, R.: Wordseye: an automatic text-to-scene conversion system. In: SIGGRAPH 2001 (2001) · DOI · Paper page
  16. Gupta, A., Srinivasan, P., Shi, J., Davis, L.: Understanding videos, constructing plots: Learning a visually grounded storyline model from annotated videos. In: CVPR (2009) · DOI
  17. Yao, B.Z., Yang, X., Lin, L., Lee, M.W., Zhu, S.C.: I2t: Image parsing to text description. Proc. IEEE (2010) (in Press) · DOI · Paper page
  18. Felzenszwalb, P., Mcallester, D., Ramanan, D.: A discriminatively trained, multiscale, deformable part model. In: CVPR 2008 (2008) · DOI · Paper page
  19. Hoiem, D., Divvala, S., Hays, J.: Pascal voc 2009 challenge. In: PASCAL challenge workshop in ECCV (2009)
  20. Oliva, A., Torralba, A.: Building the gist of a scene: the role of global image features in recognition. In: Progress in Brain Research, p. 2006 (2006) · DOI · Paper page
  21. Curran, J., Clark, S., Bos, J.: Linguistically motivated large-scale nlp with c&c and boxer. In: ACL, pp. 33–36 · DOI
  22. Lin, D.: An information-theoretic definition of similarity. In: ICML, 296–304 (1998)
  23. Taskar, B., Chatalbashev, V., Koller, D., Guestrin, C.: Learning structured prediction models: a large margin approach. In: ICML, pp. 896–903 (2005) · DOI · Paper page
  24. Ratliff, N., Bagnell, J.A., Zinkevich, M.: Subgradient methods for maximum margin structured learning. In: ICML (2006)
  25. Rashtchian, C., Young, P., Hodosh, M., Hockenmaier, J.: Collecting image annotations using amazon’s mechanical turk. In: NAACL HLT 2010 Workshop on Creating Speech and Language Data with Amazon’s Mechanical Turk (2010)

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Metadata

Authors
Farhadi, A., Hejrati, M., Sadeghi, M. A., Young, P., Rashtchian, C., Hockenmaier, J., & Forsyth, D.
Venue
Lecture Notes in Computer Science
Publisher
Springer Berlin Heidelberg
Published
2010
Pages
15-29
ISSN
  • 0302-9743 (ISSN-L)
  • 1611-3349
DOI
10.1007/978-3-642-15561-1_2
OpenAlex
W1897761818
Cited by
1,204
References
0
FWCI
20.34
Type
conference paper
Language
en
Open access
closed
Licence
www.springer.com/tdm (tdm)

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CoChat. (2026). Citation check: Every Picture Tells a Story: Generating Sentences from Images. https://app.cochat.ai/papers/10.1007/978-3-642-15561-1_2
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Farhadi, A., Hejrati, M., Sadeghi, M. A., Young, P., Rashtchian, C., Hockenmaier, J., & Forsyth, D. (2010). Every Picture Tells a Story: Generating Sentences from Images. Lecture Notes in Computer Science. https://doi.org/10.1007/978-3-642-15561-1_2

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.