메뉴 건너뛰기




Volumn 07-12-June-2015, Issue , 2015, Pages 2984-2993

Don't just listen, use your imagination: Leveraging visual common sense for non-visual tasks

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER VISION; PATTERN RECOGNITION; SEMANTICS; VISION;

EID: 84959227898     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2015.7298917     Document Type: Conference Paper
Times cited : (62)

References (52)
  • 1
    • 84959209132 scopus 로고    scopus 로고
    • Zero-shot learning via visual abstraction
    • S. Antol, C. L. Zitnick, and D. Parikh. Zero-shot learning via visual abstraction. In ECCV. 2014
    • (2014) ECCV
    • Antol, S.1    Zitnick, C.L.2    Parikh, D.3
  • 2
    • 84911409986 scopus 로고    scopus 로고
    • Seeing 3d chairs: Exemplar part-based 2d-3d alignment using a large dataset of cad models
    • M. Aubry, D. Maturana, A. Efros, B. Russell, and J. Sivic. Seeing 3d chairs: exemplar part-based 2d-3d alignment using a large dataset of cad models. In CVPR, 2014
    • (2014) CVPR
    • Aubry, M.1    Maturana, D.2    Efros, A.3    Russell, B.4    Sivic, J.5
  • 7
    • 77953642308 scopus 로고    scopus 로고
    • Efficient algorithms for ranking with svms
    • O. Chapelle and S. S. Keerthi. Efficient algorithms for ranking with svms. Information Retrieval, 13(3):201-215, 2010
    • (2010) Information Retrieval , vol.13 , Issue.3 , pp. 201-215
    • Chapelle, O.1    Keerthi, S.S.2
  • 8
    • 84951272941 scopus 로고    scopus 로고
    • A fast and accurate dependency parser using neural networks
    • D. Chen and C. D. Manning. A fast and accurate dependency parser using neural networks. In EMNLP, 2014
    • (2014) EMNLP
    • Chen, D.1    Manning, C.D.2
  • 9
    • 84898803720 scopus 로고    scopus 로고
    • Neil: Extracting visual knowledge from web data
    • X. Chen, A. Shrivastava, and A. Gupta. Neil: Extracting visual knowledge from web data. In ICCV, 2013
    • (2013) ICCV
    • Chen, X.1    Shrivastava, A.2    Gupta, A.3
  • 10
    • 74549180901 scopus 로고    scopus 로고
    • Overview of the TREC 2007 question answering track
    • Citeseer
    • H. T. Dang, D. Kelly, and J. J. Lin. Overview of the trec 2007 question answering track. In TREC, volume 7, page 63. Citeseer, 2007
    • (2007) TREC , vol.7 , pp. 63
    • Dang, H.T.1    Kelly, D.2    Lin, J.J.3
  • 11
    • 84911368326 scopus 로고    scopus 로고
    • Learning everything about anything: Webly-supervised visual concept learning
    • S. Divvala, A. Farhadi, and C. Guestrin. Learning everything about anything: Webly-supervised visual concept learning. In CVPR, 2014
    • (2014) CVPR
    • Divvala, S.1    Farhadi, A.2    Guestrin, C.3
  • 18
    • 84911394491 scopus 로고    scopus 로고
    • Predicting object dynamics in scenes
    • D. F. Fouhey and C. L. Zitnick. Predicting object dynamics in scenes. In CVPR, 2014
    • (2014) CVPR
    • Fouhey, D.F.1    Zitnick, C.L.2
  • 19
    • 84925422907 scopus 로고    scopus 로고
    • Visual turing test for computer vision systems
    • D. Geman, S. Geman, N. Hallonquist, and L. Younes. Visual turing test for computer vision systems. PNAS, 112(12):3618-3623, 2015
    • (2015) PNAS , vol.112 , Issue.12 , pp. 3618-3623
    • Geman, D.1    Geman, S.2    Hallonquist, N.3    Younes, L.4
  • 22
    • 70450155469 scopus 로고    scopus 로고
    • Beyond nouns: Exploiting prepositions and comparative adjectives for learning visual classifiers
    • A. Gupta and L. S. Davis. Beyond nouns: Exploiting prepositions and comparative adjectives for learning visual classifiers. In ECCV. 2008
    • (2008) ECCV
    • Gupta, A.1    Davis, L.S.2
  • 24
    • 51949088643 scopus 로고    scopus 로고
    • Im2gps: Estimating geographic information from a single image
    • J. Hays and A. A. Efros. Im2gps: estimating geographic information from a single image. In CVPR, 2008
    • (2008) CVPR
    • Hays, J.1    Efros, A.A.2
  • 25
    • 84866725130 scopus 로고    scopus 로고
    • Recovering free space of indoor scenes from a single image
    • V. Hedau, D. Hoiem, and D. Forsyth. Recovering free space of indoor scenes from a single image. In CVPR, 2012
    • (2012) CVPR
    • Hedau, V.1    Hoiem, D.2    Forsyth, D.3
  • 26
    • 84870293219 scopus 로고    scopus 로고
    • Yago2: A spatially and temporally enhanced knowledge base from wikipedia
    • J. Hoffart, F. M. Suchanek, K. Berberich, and G. Weikum. Yago2: a spatially and temporally enhanced knowledge base from wikipedia. Artificial Intelligence, 194:28-61, 2013
    • (2013) Artificial Intelligence , vol.194 , pp. 28-61
    • Hoffart, J.1    Suchanek, F.M.2    Berberich, K.3    Weikum, G.4
  • 27
    • 84856657387 scopus 로고    scopus 로고
    • Evaluation of image features using a photorealistic virtual world
    • B. Kaneva, A. Torralba, and W. T. Freeman. Evaluation of image features using a photorealistic virtual world. In ICCV, 2011
    • (2011) ICCV
    • Kaneva, B.1    Torralba, A.2    Freeman, W.T.3
  • 30
    • 70450172710 scopus 로고    scopus 로고
    • Learning to detect unseen object classes by between-class attribute transfer
    • C. H. Lampert, H. Nickisch, and S. Harmeling. Learning to detect unseen object classes by between-class attribute transfer. In CVPR, 2009
    • (2009) CVPR
    • Lampert, C.H.1    Nickisch, H.2    Harmeling, S.3
  • 32
    • 85162555049 scopus 로고    scopus 로고
    • Transfer learning by borrowing examples for multiclass object detection
    • J. J. Lim, R. Salakhutdinov, and A. Torralba. Transfer learning by borrowing examples for multiclass object detection. In NIPS, 2011
    • (2011) NIPS
    • Lim, J.J.1    Salakhutdinov, R.2    Torralba, A.3
  • 34
    • 84937822746 scopus 로고    scopus 로고
    • A multi-world approach to question answering about real-world scenes based on uncertain input
    • M. Malinowski and M. Fritz. A multi-world approach to question answering about real-world scenes based on uncertain input. In NIPS, pages 1682-1690, 2014
    • (2014) NIPS , pp. 1682-1690
    • Malinowski, M.1    Fritz, M.2
  • 35
    • 84911410734 scopus 로고    scopus 로고
    • Costa: Co-occurrence statistics for zero-shot classification
    • T. Mensink, E. Gavves, and C. Snoek. Costa: Co-occurrence statistics for zero-shot classification. In CVPR, 2014
    • (2014) CVPR
    • Mensink, T.1    Gavves, E.2    Snoek, C.3
  • 36
    • 84898956512 scopus 로고    scopus 로고
    • Distributed representations of words and phrases and their compositionality
    • T. Mikolov, I. Sutskever, K. Chen, G. S. Corrado, and J. Dean. Distributed representations of words and phrases and their compositionality. In NIPS, 2013
    • (2013) NIPS
    • Mikolov, T.1    Sutskever, I.2    Chen, K.3    Corrado, G.S.4    Dean, J.5
  • 37
    • 84976702763 scopus 로고
    • Wordnet: A lexical database for english
    • G. A. Miller. Wordnet: a lexical database for english. Communications of the ACM, 38(11):39-41, 1995
    • (1995) Communications of the ACM , vol.38 , Issue.11 , pp. 39-41
    • Miller, G.A.1
  • 42
    • 84926345282 scopus 로고    scopus 로고
    • Mctest: A challenge dataset for the open-domain machine comprehension of text
    • M. Richardson, C. J. Burges, and E. Renshaw. Mctest: A challenge dataset for the open-domain machine comprehension of text. In EMNLP, pages 193-203, 2013
    • (2013) EMNLP , pp. 193-203
    • Richardson, M.1    Burges, C.J.2    Renshaw, E.3
  • 45
    • 84906089632 scopus 로고    scopus 로고
    • Conceptnet 5: A large semantic network for relational knowledge
    • Springer
    • R. Speer and C. Havasi. Conceptnet 5: A large semantic network for relational knowledge. In The Peoples Web Meets NLP, pages 161-176. Springer, 2013
    • (2013) The Peoples Web Meets NLP , pp. 161-176
    • Speer, R.1    Havasi, C.2
  • 49
    • 84887337480 scopus 로고    scopus 로고
    • Beyond point clouds: Scene understanding by reasoning geometry and physics
    • B. Zheng, Y. Zhao, J. Yu, K. Ikeuchi, and S.-C. Zhu. Beyond point clouds: Scene understanding by reasoning geometry and physics. In CVPR, 2013
    • (2013) CVPR
    • Zheng, B.1    Zhao, Y.2    Yu, J.3    Ikeuchi, K.4    Zhu, S.-C.5
  • 50
    • 84952058866 scopus 로고    scopus 로고
    • Reasoning about object affordances in a knowledge base representation
    • Y. Zhu, A. Fathi, and L. Fei-Fei. Reasoning about object affordances in a knowledge base representation. In ECCV. 2014
    • (2014) ECCV
    • Zhu, Y.1    Fathi, A.2    Fei-Fei, L.3
  • 51
    • 84887338442 scopus 로고    scopus 로고
    • Bringing semantics into focus using visual abstraction
    • C. L. Zitnick and D. Parikh. Bringing semantics into focus using visual abstraction. In CVPR, 2013
    • (2013) CVPR
    • Zitnick, C.L.1    Parikh, D.2
  • 52
    • 84898772194 scopus 로고    scopus 로고
    • Learning the visual interpretation of sentences
    • C. L. Zitnick, D. Parikh, and L. Vanderwende. Learning the visual interpretation of sentences. In ICCV, 2013.
    • (2013) ICCV
    • Zitnick, C.L.1    Parikh, D.2    Vanderwende, L.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.