메뉴 건너뛰기




Volumn 9912 LNCS, Issue , 2016, Pages 483-499

Stacked hourglass networks for human pose estimation

Author keywords

Human pose estimation

Indexed keywords

CONVOLUTIONAL NEURAL NETWORKS;

EID: 84990052811     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-319-46484-8_29     Document Type: Conference Paper
Times cited : (4497)

References (49)
  • 7
    • 84887598018 scopus 로고    scopus 로고
    • Articulated human detection with flexible mixtures of parts
    • Yang, Y., Ramanan, D.: Articulated human detection with flexible mixtures of parts. IEEE Trans. Pattern Anal. Mach. Intell. 35(12), 2878-2890 (2013)
    • (2013) IEEE Trans. Pattern Anal. Mach. Intell , vol.35 , Issue.12 , pp. 2878-2890
    • Yang, Y.1    Ramanan, D.2
  • 10
    • 0032203257 scopus 로고    scopus 로고
    • Gradient-based learning applied to document recognition
    • LeCun, Y., Bottou, L., Bengio, Y., Haffner, P.: Gradient-based learning applied to document recognition. Proc. IEEE 86(11), 2278-2324 (1998)
    • (1998) Proc. IEEE , vol.86 , Issue.11 , pp. 2278-2324
    • Lecun, Y.1    Bottou, L.2    Bengio, Y.3    Haffner, P.4
  • 26
    • 84906506070 scopus 로고    scopus 로고
    • Pose machines: Articulated pose estimation via inference machines
    • Fleet, D., Pajdla, T., Schiele, B., Tuytelaars, T. (eds.), Springer, Heidelberg
    • Ramakrishna, V., Munoz, D., Hebert, M., Andrew Bagnell, J., Sheikh, Y.: Pose machines: articulated pose estimation via inference machines. In: Fleet, D., Pajdla, T., Schiele, B., Tuytelaars, T. (eds.) ECCV 2014, Part II. LNCS, vol. 8690, pp. 33-47. Springer, Heidelberg (2014). doi:10.1007/978-3-319-10605-2_3
    • (2014) ECCV 2014, Part II. LNCS , vol.8690 , pp. 33-47
    • Ramakrishna, V.1    Munoz, D.2    Hebert, M.3    Rew Bagnell, J.4    Sheikh, Y.5
  • 28
    • 84945972584 scopus 로고    scopus 로고
    • MoDeep: A deep learning framework using motion features for human pose estimation
    • Cremers, D., Reid, I., Saito, H., Yang, M.-H. (eds.), Springer, Heidelberg
    • Jain, A., Tompson, J., LeCun, Y., Bregler, C.: MoDeep: a deep learning framework using motion features for human pose estimation. In: Cremers, D., Reid, I., Saito, H., Yang, M.-H. (eds.) ACCV 2014. LNCS, vol. 9004, pp. 302-315. Springer, Heidelberg (2015). doi:10.1007/978-3-319-16808-1_21
    • (2015) ACCV 2014. LNCS , vol.9004 , pp. 302-315
    • Jain, A.1    Tompson, J.2    Lecun, Y.3    Bregler, C.4
  • 37
    • 84973897611 scopus 로고    scopus 로고
    • Predicting depth, surface normals and semantic labels with a common multi-scale convolutional architecture
    • Eigen, D., Fergus, R.: Predicting depth, surface normals and semantic labels with a common multi-scale convolutional architecture. In: Proceedings of the IEEE International Conference on Computer Vision, pp. 2650-2658 (2015)
    • (2015) Proceedings of the IEEE International Conference on Computer Vision , pp. 2650-2658
    • Eigen, D.1    Fergus, R.2
  • 46
    • 84965161391 scopus 로고    scopus 로고
    • Weakly-supervised disentangling with recurrent transformations for 3d view synthesis
    • Cortes, C., Lawrence, N.D., Lee, D.D., Sugiyama, M., Garnett, R. (eds.), Curran Associates, Inc
    • Yang, J., Reed, S.E., Yang, M.H., Lee, H.: Weakly-supervised disentangling with recurrent transformations for 3d view synthesis. In: Cortes, C., Lawrence, N.D., Lee, D.D., Sugiyama, M., Garnett, R. (eds.) Advances in Neural Information Processing Systems, vol. 28, pp. 1099-1107. Curran Associates, Inc. (2015)
    • (2015) Advances in Neural Information Processing Systems , vol.28 , pp. 1099-1107
    • Yang, J.1    Reed, S.E.2    Yang, M.H.3    Lee, H.4
  • 49
    • 84893343292 scopus 로고    scopus 로고
    • Lecture 6.5-rmsprop: Divide the gradient by a running average of its recent magnitude
    • Tieleman, T., Hinton, G.: Lecture 6.5-rmsprop: divide the gradient by a running average of its recent magnitude. In: COURSERA: Neural Networks for Machine Learning (2012)
    • (2012) COURSERA: Neural Networks for Machine Learning
    • Tieleman, T.1    Hinton, G.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.