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Volumn , Issue , 2012, Pages 3322-3329

Learning to localize detected objects

Author keywords

[No Author keywords available]

Indexed keywords

BOUNDING BOX; COLOR MODELS; DATA SETS; DETECTION ACCURACY; GRAPH CUT; LOCAL PREDICTION;

EID: 84866636076     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2012.6248070     Document Type: Conference Paper
Times cited : (35)

References (25)
  • 1
    • 80052894155 scopus 로고    scopus 로고
    • Kernelized structural svm learning for supervised object segmentation
    • L. Bertelli, T. Yu, D. Vu, and B. Gokturk. Kernelized structural svm learning for supervised object segmentation. In CVPR, 2011.
    • (2011) CVPR
    • Bertelli, L.1    Yu, T.2    Vu, D.3    Gokturk, B.4
  • 2
    • 70350619001 scopus 로고    scopus 로고
    • Learning to localize objects with structured output regression
    • M. B. Blaschko and C. H. Lampert. Learning to localize objects with structured output regression. In ECCV, 2008.
    • (2008) ECCV
    • Blaschko, M.B.1    Lampert, C.H.2
  • 3
    • 0035509961 scopus 로고    scopus 로고
    • Fast approximate energy minimization via graph cuts
    • Y. Boykov, O. Veksler, and R. Zabih. Fast approximate energy minimization via graph cuts. PAMI, 2001.
    • (2001) PAMI
    • Boykov, Y.1    Veksler, O.2    Zabih, R.3
  • 4
    • 80052887473 scopus 로고    scopus 로고
    • Object segmentation by alignment of poselet activations to image contours
    • T. Brox, L. Bourdev, S. Maji, and J. Malik. Object segmentation by alignment of poselet activations to image contours. In CVPR, 2011.
    • (2011) CVPR
    • Brox, T.1    Bourdev, L.2    Maji, S.3    Malik, J.4
  • 5
    • 0022808786 scopus 로고
    • A computational approach to edge detection
    • J. Canny. A computational approach to edge detection. PAMI, 1986.
    • (1986) PAMI
    • Canny, J.1
  • 6
    • 84866679706 scopus 로고    scopus 로고
    • Learning object classes with generic knowledge
    • T. Deselaers, B. Alexe, and V. Ferrari. Learning object classes with generic knowledge. IJCV, 2011.
    • (2011) IJCV
    • Deselaers, T.1    Alexe, B.2    Ferrari, V.3
  • 7
    • 33845580709 scopus 로고    scopus 로고
    • Supervised learning of edges and object boundaries
    • P. Dollár, Z. Tu, and S. Belongie. Supervised learning of edges and object boundaries. In CVPR, 2006.
    • (2006) CVPR
    • Dollár, P.1    Tu, Z.2    Belongie, S.3
  • 13
    • 33744792263 scopus 로고    scopus 로고
    • Pedestrian detection in crowded scenes
    • B. Leibe, E. Seemann, and B. Schiele. Pedestrian detection in crowded scenes. In CVPR, 2005.
    • (2005) CVPR
    • Leibe, B.1    Seemann, E.2    Schiele, B.3
  • 14
    • 77953220015 scopus 로고    scopus 로고
    • Image segmentation with a bounding box prior
    • V. Lempitsky, P. Kohli, and C. Rother. Image segmentation with a bounding box prior. In ICCV, 2009.
    • (2009) ICCV
    • Lempitsky, V.1    Kohli, P.2    Rother, C.3
  • 15
    • 51949108476 scopus 로고    scopus 로고
    • Using contours to detect and localize junctions in natural images
    • M. Maire, P. Arbelaez, C. Fowlkes, and J. Malik. Using contours to detect and localize junctions in natural images. In CVPR, 2008.
    • (2008) CVPR
    • Maire, M.1    Arbelaez, P.2    Fowlkes, C.3    Malik, J.4
  • 17
    • 79851513827 scopus 로고    scopus 로고
    • Learning class-specific edges for object detection and segmentation
    • M. Prasad, A. Zisserman, A. Fitzgibbon, M. Kumar, and P. Torr. Learning class-specific edges for object detection and segmentation. In ICCV, 2006.
    • (2006) ICCV
    • Prasad, M.1    Zisserman, A.2    Fitzgibbon, A.3    Kumar, M.4    Torr, P.5
  • 18
    • 34948910140 scopus 로고    scopus 로고
    • Using segmentation to verify object hypotheses
    • D. Ramanan. Using segmentation to verify object hypotheses. In CVPR, 2007.
    • (2007) CVPR
    • Ramanan, D.1
  • 20
    • 45349091203 scopus 로고    scopus 로고
    • Multiscale categorical object recognition using contour fragments
    • J. Shotton, A. Blake, and R. Cipolla. Multiscale categorical object recognition using contour fragments. PAMI, 2008.
    • (2008) PAMI
    • Shotton, J.1    Blake, A.2    Cipolla, R.3
  • 21
    • 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 ECCV, 2006.
    • (2006) ECCV
    • Shotton, J.1    Winn, J.2    Rother, C.3    Criminisi, A.4
  • 22
    • 70450204874 scopus 로고    scopus 로고
    • Learning crfs using graph cuts
    • M. Szummer, P. Kohli, and D. Hoiem. Learning crfs using graph cuts. In ECCV, 2008.
    • (2008) ECCV
    • Szummer, M.1    Kohli, P.2    Hoiem, D.3
  • 23
    • 14344250451 scopus 로고    scopus 로고
    • Support vector machine learning for interdependent and structured output spaces
    • I. Tsochantaridis, T. Hofmann, T. Joachims, and Y. Altun. Support vector machine learning for interdependent and structured output spaces. In ICML, 2004.
    • (2004) ICML
    • Tsochantaridis, I.1    Hofmann, T.2    Joachims, T.3    Altun, Y.4
  • 24
    • 8644258401 scopus 로고    scopus 로고
    • A statistical approach to texture classification from single images
    • M. Varma and A. Zisserman. A statistical approach to texture classification from single images. IJCV, 2005.
    • (2005) IJCV
    • Varma, M.1    Zisserman, A.2
  • 25
    • 77956008428 scopus 로고    scopus 로고
    • Layered object detection for multi-class segmentation
    • Y. Yang, S. Hallman, D. Ramanan, and C. Fowlkes. Layered object detection for multi-class segmentation. In CVPR, 2010.
    • (2010) CVPR
    • Yang, Y.1    Hallman, S.2    Ramanan, D.3    Fowlkes, C.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.