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Volumn , Issue , 2011, Pages 2001-2008

Piecing together the segmentation jigsaw using context

Author keywords

[No Author keywords available]

Indexed keywords

COST FUNCTIONS; QUADRATIC PROGRAMMING;

EID: 80052906746     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2011.5995367     Document Type: Conference Paper
Times cited : (23)

References (29)
  • 4
    • 51949110976 scopus 로고    scopus 로고
    • Object categorization using co-occurrence, location and appearance
    • C. Galleguillos, A. Rabinovich, and S. Belongie. Object categorization using co-occurrence, location and appearance. In Proc. CVPR. 2008.
    • (2008) Proc. CVPR.
    • Galleguillos, C.1    Rabinovich, A.2    Belongie, S.3
  • 5
    • 84858716911 scopus 로고    scopus 로고
    • Region-based segmentation and object detection
    • S. Gould, T. Gao, and D. Koller. Region-based segmentation and object detection. In NIPS. 2009.
    • (2009) NIPS.
    • Gould, S.1    Gao, T.2    Koller, D.3
  • 6
    • 69549088877 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 Proc. ECCV. 2008.
    • (2008) Proc. ECCV.
    • Gupta, A.1    Davis, L.S.2
  • 7
    • 78149319842 scopus 로고    scopus 로고
    • Block world revisited: Image understanding using qualitative geometry and mechanics
    • A. Gupta, A. Efros, and M. Hebert. Block world revisited: Image understanding using qualitative geometry and mechanics. In In ECCV. 2010.
    • (2010) ECCV.
    • Gupta, A.1    Efros, A.2    Hebert, M.3
  • 8
  • 9
    • 34948885292 scopus 로고    scopus 로고
    • Learning and incorporating top-down cues in image segmentation
    • X. He, R. Zemel, and D. Ray. Learning and incorporating top-down cues in image segmentation. In ECCV. 2006.
    • (2006) ECCV.
    • He, X.1    Zemel, R.2    Ray, D.3
  • 10
    • 33745947933 scopus 로고    scopus 로고
    • Geometric context from a single image
    • D. Hoiem, A. Efros, and M. Hebert. Geometric context from a single image. In ICCV. 2005.
    • (2005) ICCV.
    • Hoiem, D.1    Efros, A.2    Hebert, M.3
  • 11
    • 80052900196 scopus 로고    scopus 로고
    • Learning what and how of contextual models for scene labeling
    • A. Jain, A. Gupta, and L. S. Davis. Learning what and how of contextual models for scene labeling. In ECCV. 2010.
    • (2010) ECCV.
    • Jain, A.1    Gupta, A.2    Davis, L.S.3
  • 12
    • 80052875619 scopus 로고    scopus 로고
    • Probabilistic nearest neighbor classifier with active learning
    • P. Jain and A. Kapoor. Probabilistic nearest neighbor classifier with active learning. Microsoft Research, Redmond.
    • Microsoft Research, Redmond.
    • Jain, P.1    Kapoor, A.2
  • 13
    • 80052883480 scopus 로고    scopus 로고
    • Active learning for large multi-class problems
    • P. Jain and A. Kapoor. Active learning for large multi-class problems. In IEEE CVPR. 2009.
    • (2009) IEEE CVPR.
    • Jain, P.1    Kapoor, A.2
  • 14
    • 80052913465 scopus 로고    scopus 로고
    • Efficiently selecting regions for scene understanding
    • M. P. Kumar and D. Koller. Efficiently selecting regions for scene understanding. In NIPS. 2010.
    • (2010) NIPS.
    • Kumar, M.P.1    Koller, D.2
  • 16
    • 77953225585 scopus 로고    scopus 로고
    • Associative hierarchical crfs for object class image segmentation
    • L. Ladicky, C. Russell, P. Kohli, and P. H. S. Torr. Associative hierarchical crfs for object class image segmentation. In ICCV. 2009.
    • (2009) ICCV.
    • Ladicky, L.1    Russell, C.2    Kohli, P.3    Torr, P.H.S.4
  • 17
    • 84858731529 scopus 로고    scopus 로고
    • An integer projected fixed point method for graph matching and map inference
    • M. Leordeanu, M. Hebert, and R. Sukthankar. An integer projected fixed point method for graph matching and map inference. In Advances in NIPS. 2009.
    • (2009) Advances in NIPS.
    • Leordeanu, M.1    Hebert, M.2    Sukthankar, R.3
  • 18
    • 70450219021 scopus 로고    scopus 로고
    • Towards total scene understanding: Classification, annotation and segmentation in an automatic framework
    • L.-J. Li, R. Socher, and L. Fei-Fei. Towards total scene understanding: classification, annotation and segmentation in an automatic framework. In CVPR. 2009.
    • (2009) CVPR.
    • Li, L.-J.1    Socher, R.2    Fei-Fei, L.3
  • 19
    • 84898492432 scopus 로고    scopus 로고
    • Improving spatial support for objects via multiple segmentations
    • T. Malisiewicz and A. A. Efros. Improving spatial support for objects via multiple segmentations. In BMVC. 2007.
    • (2007) BMVC.
    • Malisiewicz, T.1    Efros, A.A.2
  • 20
    • 51949096556 scopus 로고    scopus 로고
    • Recognition by association via learning per-exemplar distances
    • T. Malisiewicz and A. A. Efros. Recognition by association via learning per-exemplar distances. In CVPR. 2008.
    • (2008) CVPR.
    • Malisiewicz, T.1    Efros, A.A.2
  • 21
    • 3042525106 scopus 로고    scopus 로고
    • Learning to detect natural image boundaries using local brightness, color, and texture cues
    • D. Martin, F. C., and J. Malik. Learning to detect natural image boundaries using local brightness, color, and texture cues. IEEE Tran. on PAMI, 26:530-549, 2004.
    • (2004) IEEE Tran. on PAMI , vol.26 , pp. 530-549
    • Martin, D.1    Malik, J.2
  • 23
    • 33845596932 scopus 로고    scopus 로고
    • Using multiple segmentations to discover objects and their extent in image collections
    • B. C. Russell, A. A. Efros, J. Sivic, W. T. Freeman, and A. Zisserman. Using multiple segmentations to discover objects and their extent in image collections. In ECCV. 2006.
    • (2006) ECCV.
    • Russell, B.C.1    Efros, A.A.2    Sivic, J.3    Freeman, W.T.4    Zisserman, A.5
  • 24
  • 25
    • 51949114829 scopus 로고    scopus 로고
    • Semantic texton forests for image categorization and segmentation
    • J. Shotton, M. Johnson, and R. Cipolla. Semantic texton forests for image categorization and segmentation. In Proc. IEEE CVPR. 2008.
    • (2008) Proc. IEEE CVPR.
    • Shotton, J.1    Johnson, M.2    Cipolla, R.3
  • 26
    • 33845423382 scopus 로고    scopus 로고
    • Textonboost: Joint appearance, shape and context modeling for multi-class object recognition and segmentation
    • J. Shotton, J. Winn, C. Rother, and A. Criminisi. Textonboost: Joint appearance, shape and context modeling for multi-class object recognition and segmentation. In Proc. ECCV. 2006.
    • (2006) Proc. ECCV.
    • Shotton, J.1    Winn, J.2    Rother, C.3    Criminisi, A.4
  • 28
    • 84899024607 scopus 로고    scopus 로고
    • Contextual models for object detection using boosted random fields
    • A. Torralba, K. Murphy, and W. Freeman. Contextual models for object detection using boosted random fields. In NIPS. 2005.
    • (2005) NIPS.
    • Torralba, A.1    Murphy, K.2    Freeman, W.3
  • 29
    • 51949119486 scopus 로고    scopus 로고
    • Auto-context and its application to high-level vision tasks
    • Z. Tu. Auto-context and its application to high-level vision tasks. In CVPR. 2008.
    • (2008) CVPR.
    • Tu, Z.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.