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Volumn 2016-December, Issue , 2016, Pages 2837-2845

Efficient Point Process Inference for Large-Scale Object Detection

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER VISION; MARKOV PROCESSES; MONTE CARLO METHODS; OBJECT RECOGNITION; OPTIMIZATION; PATTERN RECOGNITION;

EID: 84986294206     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2016.310     Document Type: Conference Paper
Times cited : (19)

References (29)
  • 2
  • 3
    • 77955987097 scopus 로고    scopus 로고
    • On detection of multiple object instances using hough transforms
    • O. Barinova, V. Lempitsky, and P. Kohli. On detection of multiple object instances using hough transforms. In CVPR, 2010.
    • (2010) CVPR
    • Barinova, O.1    Lempitsky, V.2    Kohli, P.3
  • 4
    • 51949104316 scopus 로고    scopus 로고
    • Privacy preserving crowd monitoring: Counting people without people models or tracking
    • A. Chan, Z.-S. Liang, and N. Vasconcelos. Privacy preserving crowd monitoring: Counting people without people models or tracking. In CVPR, 2008.
    • (2008) CVPR
    • Chan, A.1    Liang, Z.-S.2    Vasconcelos, N.3
  • 6
    • 51449093495 scopus 로고    scopus 로고
    • Automatic flamingo detection using a multiple birth and death process
    • S. Descamps, X. Descombes, A. Bechet, and J. Zerubia. Automatic flamingo detection using a multiple birth and death process. In ICASSP, 2008.
    • (2008) ICASSP
    • Descamps, S.1    Descombes, X.2    Bechet, A.3    Zerubia, J.4
  • 7
    • 60449119515 scopus 로고    scopus 로고
    • Object extraction using a stochastic birth-and-death dynamics in continuum
    • X. Descombes, R. Minlos, and E. Zhizhina. Object extraction using a stochastic birth-and-death dynamics in continuum. J. Math. Imaging Vis., 33(3):347-359, 2009.
    • (2009) J. Math. Imaging Vis. , vol.33 , Issue.3 , pp. 347-359
    • Descombes, X.1    Minlos, R.2    Zhizhina, E.3
  • 13
    • 79952580625 scopus 로고    scopus 로고
    • Multiple birth and cut algorithm for point process optimization
    • A. Gamal-Eldin, X. Descombes, and J. Zerubia. Multiple birth and cut algorithm for point process optimization. In SITIS, 2010.
    • (2010) SITIS
    • Gamal-Eldin, A.1    Descombes, X.2    Zerubia, J.3
  • 14
    • 70450161263 scopus 로고    scopus 로고
    • Marked point processes for crowd counting
    • W. Ge and R. Collins. Marked point processes for crowd counting. In CVPR, 2009.
    • (2009) CVPR
    • Ge, W.1    Collins, R.2
  • 17
    • 84941194361 scopus 로고    scopus 로고
    • Detecting humans in dense crowds using locally-consistent scale prior and global occlusion reasoning
    • Oct
    • H. Idrees, K. Soomro, and M. Shah. Detecting humans in dense crowds using locally-consistent scale prior and global occlusion reasoning. Pattern Analysis and Machine Intelligence, IEEE Transactions on, 37(10):1986-1998, Oct 2015.
    • (2015) Pattern Analysis and Machine Intelligence, IEEE Transactions on , vol.37 , Issue.10 , pp. 1986-1998
    • Idrees, H.1    Soomro, K.2    Shah, M.3
  • 18
    • 27644525535 scopus 로고    scopus 로고
    • Point processes for unsupervised line network extraction in remote sensing
    • C. Lacoste, X. Descombes, and J. Zerubia. Point processes for unsupervised line network extraction in remote sensing. IEEE TPAMI, 27(10):1568-1579, 2005.
    • (2005) IEEE TPAMI , vol.27 , Issue.10 , pp. 1568-1579
    • Lacoste, C.1    Descombes, X.2    Zerubia, J.3
  • 19
    • 77955411791 scopus 로고    scopus 로고
    • Geometric feature extraction by a multimarked point process
    • F. Lafarge, G. Gimel'farb, and X. Descombes. Geometric feature extraction by a multimarked point process. IEEE TPAMI, 32(9):1597-1609, 2010.
    • (2010) IEEE TPAMI , vol.32 , Issue.9 , pp. 1597-1609
    • Lafarge, F.1    Gimel'Farb, G.2    Descombes, X.3
  • 21
    • 85162384490 scopus 로고    scopus 로고
    • Learning to Count Objects in Images
    • V. Lempitsky and A. Zisserman. Learning To Count Objects in Images. In NIPS 23, 2010.
    • (2010) NIPS , vol.23
    • Lempitsky, V.1    Zisserman, A.2
  • 22
    • 33846265346 scopus 로고    scopus 로고
    • Building outline extraction from digital elevation models using marked point processes
    • M. Ortner, X. Descombes, and J. Zerubia. Building outline extraction from digital elevation models using marked point processes. IJCV, 72(2):107-132, 2007.
    • (2007) IJCV , vol.72 , Issue.2 , pp. 107-132
    • Ortner, M.1    Descombes, X.2    Zerubia, J.3
  • 23
    • 57049097722 scopus 로고    scopus 로고
    • Adaptive simulated annealing for energy minimization problem in a marked point process application
    • G. Perrin, X. Descombes, and J. Zerubia. Adaptive simulated annealing for energy minimization problem in a marked point process application. In EMMCVPR, 2005.
    • (2005) EMMCVPR
    • Perrin, G.1    Descombes, X.2    Zerubia, J.3
  • 24
    • 2142813785 scopus 로고    scopus 로고
    • A gibbs point process for road extraction from remotely sensed images
    • R. Stoica, X. Descombes, and J. Zerubia. A gibbs point process for road extraction from remotely sensed images. IJCV, 57(2):121-136, 2004.
    • (2004) IJCV , vol.57 , Issue.2 , pp. 121-136
    • Stoica, R.1    Descombes, X.2    Zerubia, J.3
  • 25
    • 80052895188 scopus 로고    scopus 로고
    • A 3-d marked point process model for multi-view people detection
    • A. Utasi and C. Benedek. A 3-d marked point process model for multi-view people detection. In CVPR, 2011.
    • (2011) CVPR
    • Utasi, A.1    Benedek, C.2
  • 27
    • 84887363319 scopus 로고    scopus 로고
    • Efficient monte carlo sampler for detecting parametric objects in large scenes
    • Y. Verdíe and F. Lafarge. Efficient monte carlo sampler for detecting parametric objects in large scenes. In ECCV, 2012.
    • (2012) ECCV
    • Verdíe, Y.1    Lafarge, F.2
  • 28
    • 84893695303 scopus 로고    scopus 로고
    • Detecting parametric objects in large scenes by monte carlo sampling
    • Y. Verdi and F. Lafarge. Detecting parametric objects in large scenes by monte carlo sampling. International Journal of Computer Vision, 106(1):57-75, 2014.
    • (2014) International Journal of Computer Vision , vol.106 , Issue.1 , pp. 57-75
    • Verdi, Y.1    Lafarge, F.2
  • 29
    • 0742273930 scopus 로고    scopus 로고
    • A review of trust region algorithms for optimization
    • Oxford Univ. Press, Oxford
    • Y.-x. Yuan. A review of trust region algorithms for optimization. In ICIAM 99 (Edinburgh), pages 271-282. Oxford Univ. Press, Oxford, 2000.
    • (2000) ICIAM 99 (Edinburgh) , pp. 271-282
    • Yuan, Y.-X.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.