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Volumn , Issue , 2014, Pages 1661-1668

Iterated second-order label sensitive pooling for 3D human pose estimation

Author keywords

[No Author keywords available]

Indexed keywords

LARGE DATASET; PATTERN RECOGNITION;

EID: 84911420074     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2014.215     Document Type: Conference Paper
Times cited : (92)

References (35)
  • 1
    • 5044228983 scopus 로고    scopus 로고
    • 3d human pose from silhouettes by relevance vector regression
    • A. Agarwal and B. Triggs. 3d human pose from silhouettes by relevance vector regression. In CVPR, 2004.
    • (2004) CVPR
    • Agarwal, A.1    Triggs, B.2
  • 2
    • 70450203723 scopus 로고    scopus 로고
    • Pictorial structures revisited: People detection and articulated pose estimation
    • M. Andriluka, S. Roth, and B. Schiele. Pictorial structures revisited: People detection and articulated pose estimation. In CVPR, 2009.
    • (2009) CVPR
    • Andriluka, M.1    Roth, S.2    Schiele, B.3
  • 3
    • 70450192619 scopus 로고    scopus 로고
    • Structured output-associative regression
    • L. Bo and C. Sminchisescu. Structured Output-Associative Regression. In CVPR, 2009.
    • (2009) CVPR
    • Bo, L.1    Sminchisescu, C.2
  • 4
    • 80052880727 scopus 로고    scopus 로고
    • Shape-based pedestrian parsing
    • Y. Bo and C. Fowlkes. Shape-based pedestrian parsing. CVPR, 2011.
    • (2011) CVPR
    • Bo, Y.1    Fowlkes, C.2
  • 5
    • 85112851150 scopus 로고    scopus 로고
    • Poselets: Body part detectors trained using 3d human pose annotations
    • L. Bourdev and J. Malik. Poselets: Body Part Detectors Trained Using 3D Human Pose Annotations. In ICCV, 2009.
    • (2009) ICCV
    • Bourdev, L.1    Malik, J.2
  • 6
    • 45049084131 scopus 로고    scopus 로고
    • Posecut: Simultaneous segmentation and and 3d pose estimation of humans using dynamic graph cuts
    • M. Bray, P. Kohli, and P. Torr. Posecut: Simultaneous segmentation and and 3d pose estimation of humans using dynamic graph cuts. In ECCV, 2006.
    • (2006) ECCV
    • Bray, M.1    Kohli, P.2    Torr, P.3
  • 8
    • 84861335581 scopus 로고    scopus 로고
    • CPMC: Automatic object segmentation using constrained parametric min-cuts
    • J. Carreira and C. Sminchisescu. CPMC: Automatic Object Segmentation Using Constrained Parametric Min-Cuts. PAMI, 2012.
    • (2012) PAMI
    • Carreira, J.1    Sminchisescu, C.2
  • 9
    • 31844441189 scopus 로고    scopus 로고
    • A general regression technique for learning transductions
    • C. Cortes, M. Mohri, and J. Weston. A general regression technique for learning transductions. In ICML, 2005.
    • (2005) ICML
    • Cortes, C.1    Mohri, M.2    Weston, J.3
  • 10
    • 33645146449 scopus 로고    scopus 로고
    • Histograms of oriented gradients for human detection
    • N. Dalal and B. Triggs. Histograms of oriented gradients for human detection. In CVPR, 2005.
    • (2005) CVPR
    • Dalal, N.1    Triggs, B.2
  • 11
    • 84887344431 scopus 로고    scopus 로고
    • Human pose estimation using body parts dependent joint regressors
    • M. Dantone, J. Gall, C. Leistner, and L. Van Gool. Human pose estimation using body parts dependent joint regressors. In CVPR, 2013.
    • (2013) CVPR
    • Dantone, M.1    Gall, J.2    Leistner, C.3    Van Gool, L.4
  • 12
    • 0033697160 scopus 로고    scopus 로고
    • Articulated body motion capture by annealed particle filtering
    • J. Deutscher, A. Blake, and I. Reid. Articulated Body Motion Capture by Annealed Particle Filtering. In CVPR, 2000.
    • (2000) CVPR
    • Deutscher, J.1    Blake, A.2    Reid, I.3
  • 13
    • 84866707640 scopus 로고    scopus 로고
    • The shape boltz-mann machine: A strong model of object shape
    • S. M. A. Eslami, N. Heess, and J. Winn. The shape boltz-mann machine: A strong model of object shape. In CVPR, 2012.
    • (2012) CVPR
    • Eslami, S.M.A.1    Heess, N.2    Winn, J.3
  • 14
    • 70450179995 scopus 로고    scopus 로고
    • Pose Seach: Retrieving people using their pose
    • V. Ferrari, M. Marin, and A. Zisserman. Pose Seach: retrieving people using their pose. In CVPR, 2009.
    • (2009) CVPR
    • Ferrari, V.1    Marin, M.2    Zisserman, A.3
  • 15
    • 75149167102 scopus 로고    scopus 로고
    • Optimization and filtering for human motion capture: A multi-layer framework
    • J. Gall, B. Rosenhahn, T. Brox, and H. Seidel. Optimization and filtering for human motion capture: A multi-layer framework. IJCV, 2010.
    • (2010) IJCV
    • Gall, J.1    Rosenhahn, B.2    Brox, T.3    Seidel, H.4
  • 17
    • 84856631919 scopus 로고    scopus 로고
    • Latent structured models for human pose estimation
    • C. Ionescu, F. Li, and C. Sminchisescu. Latent Structured Models for Human Pose Estimation. In ICCV, 2011.
    • (2011) ICCV
    • Ionescu, C.1    Li, F.2    Sminchisescu, C.3
  • 18
    • 84903127719 scopus 로고    scopus 로고
    • Hu-man3.6m: Large scale datasets and predictive methods for 3d human sensing in natural environments
    • C. Ionescu, D. Papava, V. Olaru, and C. Sminchisescu. Hu-man3.6m: Large scale datasets and predictive methods for 3d human sensing in natural environments. PAMI, 2014.
    • (2014) PAMI
    • Ionescu, C.1    Papava, D.2    Olaru, V.3    Sminchisescu, C.4
  • 19
    • 84866666373 scopus 로고    scopus 로고
    • Beyond spatial pyramids: Receptive field learning for pooled image features
    • Y. Jia, C. Huang, and T. Darrell. Beyond spatial pyramids: Receptive field learning for pooled image features. In CVPR, 2012.
    • (2012) CVPR
    • Jia, Y.1    Huang, C.2    Darrell, T.3
  • 20
    • 34948816627 scopus 로고    scopus 로고
    • Semi-supervised hierarchical models for 3d human pose reconstruction
    • A. Kanaujia, C. Sminchisescu, and D. Metaxas. Semi-supervised hierarchical models for 3d human pose reconstruction. In CVPR, 2007.
    • (2007) CVPR
    • Kanaujia, A.1    Sminchisescu, C.2    Metaxas, D.3
  • 21
    • 84887355234 scopus 로고    scopus 로고
    • Human pose estimation using a joint pixel-wise and part-wise formulation
    • L. Ladicky, P. Torr, and A. Zisserman. Human pose estimation using a joint pixel-wise and part-wise formulation. In CVPR, 2013.
    • (2013) CVPR
    • Ladicky, L.1    Torr, P.2    Zisserman, A.3
  • 22
    • 33845572523 scopus 로고    scopus 로고
    • Beyond bags of features: Spatial pyramid matching for recognizing natural scene categories
    • S. Lazebnik, C. Schmid, and J. Ponce. Beyond bags of features: Spatial pyramid matching for recognizing natural scene categories. In CVPR, 2006.
    • (2006) CVPR
    • Lazebnik, S.1    Schmid, C.2    Ponce, J.3
  • 23
    • 33745821131 scopus 로고    scopus 로고
    • Keypoint recognition using randomized trees
    • V. Lepetit and P. Fua. Keypoint recognition using randomized trees. PAMI, 2006.
    • (2006) PAMI
    • Lepetit, V.1    Fua, P.2
  • 25
    • 84897538372 scopus 로고    scopus 로고
    • Fixed-point model for structured labeling
    • Q. Li, J. Wang, Z. Tu, and D. P. Wipf. Fixed-point model for structured labeling. In ICML, 2013.
    • (2013) ICML
    • Li, Q.1    Wang, J.2    Tu, Z.3    Wipf, D.P.4
  • 27
    • 79958720362 scopus 로고    scopus 로고
    • Cascaded models for articulated pose estimation
    • B. Sapp, A. Toshev, and B. Taskar. Cascaded Models for Articulated Pose Estimation. In ECCV, 2010.
    • (2010) ECCV
    • Sapp, B.1    Toshev, A.2    Taskar, B.3
  • 28
    • 75149186907 scopus 로고    scopus 로고
    • Combined discriminative and generative articulated pose and non-rigid shape estimation
    • L. Sigal, A. Balan, and M. J. Black. Combined discriminative and generative articulated pose and non-rigid shape estimation. In NIPS, 2007.
    • (2007) NIPS
    • Sigal, L.1    Balan, A.2    Black, M.J.3
  • 31
    • 24644445659 scopus 로고    scopus 로고
    • Discriminative density propagation for 3d human motion estimation
    • C. Sminchisescu, A. Kanaujia, Z. Li, and D. Metaxas. Discriminative Density Propagation for 3D Human Motion Estimation. In CVPR, 2005.
    • (2005) CVPR
    • Sminchisescu, C.1    Kanaujia, A.2    Li, Z.3    Metaxas, D.4
  • 32
    • 0041438467 scopus 로고    scopus 로고
    • Kinematic jump processes for monocular 3d human tracking
    • C. Sminchisescu and B. Triggs. Kinematic Jump Processes for Monocular 3D Human Tracking. In CVPR, 2003.
    • (2003) CVPR
    • Sminchisescu, C.1    Triggs, B.2
  • 33
    • 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
  • 34
    • 33745823422 scopus 로고    scopus 로고
    • Priors for people tracking in small training sets
    • R. Urtasun, D. Fleet, A. Hertzmann, and P. Fua. Priors for people tracking in small training sets. In ICCV, 2005.
    • (2005) ICCV
    • Urtasun, R.1    Fleet, D.2    Hertzmann, A.3    Fua, P.4
  • 35
    • 84887598018 scopus 로고    scopus 로고
    • Articulated human detection with flexible mixtures of parts
    • Y. Yang and D. Ramanan. Articulated Human Detection with Flexible Mixtures of Parts. PAMI, 2013.
    • (2013) PAMI
    • Yang, Y.1    Ramanan, D.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.