Fetching the paper…
Reading the bibliography…
Multi-person pose estimation is challenging because it localizes body keypoints for multiple persons simultaneously.
Fischler, M.A., Elschlager, R.A.: The representation and matching of pictorial structures. IEEE Transactions on Computers (1973)
1973
Earlier work this paper cites.
Felzenszwalb, P.F., Huttenlocher, D.P.: Pictorial structures for object recognition. International Journal of Computer Vision (IJCV) (2005)
2005
Earlier work this paper cites.
Gori, M., Monfardini, G., Scarselli, F.: A new model for learning in graph domains. In: IEEE International Joint Conference on Neural Networks (IJCNN) (2005)
2005
Earlier work this paper cites.
Dhillon, I.S., Guan, Y., Kulis, B.: Weighted graph cuts without eigenvectors a multilevel approach. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) (2007)
2007
Earlier work this paper cites.
Scarselli, F., Gori, M., Tsoi, A.C., Hagenbuchner, M., Monfardini, G.: The graph neural network model. IEEE Transactions on Neural Networks (TNN) (2008)
2008
Earlier work this paper cites.
Bengio, Y., Louradour, J., Collobert, R., Weston, J.: Curriculum learning. In: International Conference on Machine Learning (ICML) (2009)
2009
Earlier work this paper cites.
Johnson, S., Everingham, M.: Clustered pose and nonlinear appearance models for human pose estimation. In: BMVC (2010)
2010
Earlier work this paper cites.
Yang, Y., Ramanan, D.: Articulated human detection with flexible mixtures of parts. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) (2012)
2012
Earlier work this paper cites.
2013
Earlier work this paper cites.
Chen, X., Mottaghi, R., Liu, X., Fidler, S., Urtasun, R., Yuille, A.: Detect what you can: Detecting and representing objects using holistic models and body parts. In: The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2014)
2014
Earlier work this paper cites.
Chen, X., Yuille, A.L.: Articulated pose estimation by a graphical model with image dependent pairwise relations. In: Advances in Neural Information Processing Systems (NeurIPS) (2014)
2014
Earlier work this paper cites.
Lin, T.Y., Maire, M., Belongie, S., Hays, J., Perona, P., Ramanan, D., Dollár, P., Zitnick, C.L.: Microsoft coco: Common objects in context. In: European Conference on Computer Vision (ECCV) (2014)
2014
Earlier work this paper cites.
Tompson, J.J., Jain, A., LeCun, Y., Bregler, C.: Joint training of a convolutional network and a graphical model for human pose estimation. In: Advances in Neural Information Processing Systems (NeurIPS) (2014)
2014
Earlier work this paper cites.
Duvenaud, D.K., Maclaurin, D., Iparraguirre, J., Bombarell, R., Hirzel, T., Aspuru-Guzik, A., Adams, R.P.: Convolutional networks on graphs for learning molecular fingerprints. In: Advances in Neural Information Processing Systems (NeurIPS) (2015)
2015
Earlier work this paper cites.
Chu, X., Ouyang, W., Wang, X., et al.: Crf-cnn: Modeling structured information in human pose estimation. In: Advances in Neural Information Processing Systems (NeurIPS) (2016)
2016
Earlier work this paper cites.
Insafutdinov, E., Pishchulin, L., Andres, B., Andriluka, M., Schiele, B.: Deepercut: A deeper, stronger, and faster multi-person pose estimation model. In: European Conference on Computer Vision (ECCV) (2016)
2016
Earlier work this paper cites.
2016
Earlier work this paper cites.
2016
Earlier work this paper cites.
Newell, A., Yang, K., Deng, J.: Stacked hourglass networks for human pose estimation. In: European Conference on Computer Vision (ECCV) (2016)
2016
Cited alongside, same era.
Pishchulin, L., Insafutdinov, E., Tang, S., Andres, B., Andriluka, M., Gehler, P.V., Schiele, B.: Deepcut: Joint subset partition and labeling for multi person pose estimation. In: The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2016)
2016
Cited alongside, same era.
Cao, Z., Simon, T., Wei, S.E., Sheikh, Y.: Realtime multi-person 2d pose estimation using part affinity fields. In: The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2017)
2017
Cited alongside, same era.
Fang, H.S., Xie, S., Tai, Y.W., Lu, C.: Rmpe: Regional multi-person pose estimation. In: The IEEE International Conference on Computer Vision (ICCV) (2017)
2017
Cited alongside, same era.
Veličković, P., Cucurull, G., Casanova, A., Romero, A., Lio, P., Bengio, Y.: Graph attention networks. International Conference on Learning Representations (ICLR) (2018)
2018
Later among the works it cites.
2018
Later among the works it cites.
Xiao, B., Wu, H., Wei, Y.: Simple baselines for human pose estimation and tracking. In: European Conference on Computer Vision (ECCV) (2018)
2018
Later among the works it cites.
Yan, S., Xiong, Y., Lin, D.: Spatial temporal graph convolutional networks for skeleton-based action recognition. In: Thirty-Second AAAI Conference on Artificial Intelligence (AAAI) (2018)
2018
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
2017
Cited alongside, same era.
Huang, S., Gong, M., Tao, D.: A coarse-fine network for keypoint localization. In: The IEEE International Conference on Computer Vision (ICCV) (2017)
2017
Cited alongside, same era.
Insafutdinov, E., Andriluka, M., Pishchulin, L., Tang, S., Levinkov, E., Andres, B., Schiele, B., Campus, S.I.: Arttrack: Articulated multi-person tracking in the wild. In: The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2017)
2017
Cited alongside, same era.
Jin, S., Ma, X., Han, Z., Wu, Y., Yang, W., Liu, W., Qian, C., Ouyang, W.: Towards multi-person pose tracking: Bottom-up and top-down methods. In: ICCV PoseTrack Workshop (2017)
2017
Cited alongside, same era.
Newell, A., Huang, Z., Deng, J.: Associative embedding: End-to-end learning for joint detection and grouping. In: Advances in Neural Information Processing Systems (NeurIPS) (2017)
2017
Cited alongside, same era.
2017
Cited alongside, same era.
2017
Cited alongside, same era.
Chen, Y., Wang, Z., Peng, Y., Zhang, Z., Yu, G., Sun, J.: Cascaded pyramid network for multi-person pose estimation. In: The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2018)
2018
Cited alongside, same era.
Chen, Y., Rohrbach, M., Yan, Z., Shuicheng, Y., Feng, J., Kalantidis, Y.: Graph-based global reasoning networks. In: The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2019)
2019
Later among the works it cites.
Jin, S., Liu, W., Ouyang, W., Qian, C.: Multi-person articulated tracking with spatial and temporal embeddings. In: The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2019)
2019
Later among the works it cites.
Li, J., Wang, C., Zhu, H., Mao, Y., Fang, H.S., Lu, C.: Crowdpose: Efficient crowded scenes pose estimation and a new benchmark. The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2019)
2019
Later among the works it cites.
Nie, X., Feng, J., Zhang, J., Yan, S.: Single-stage multi-person pose machines. In: The IEEE International Conference on Computer Vision (ICCV) (2019)
2019
Later among the works it cites.
Song, J., Andres, B., Black, M.J., Hilliges, O., Tang, S.: End-to-end learning for graph decomposition. In: The IEEE International Conference on Computer Vision (ICCV) (2019)
2019
Later among the works it cites.
2019
Later among the works it cites.
2019
Later among the works it cites.
Tian, Z., Shen, C., Chen, H., He, T.: Fcos: Fully convolutional one-stage object detection. In: The IEEE International Conference on Computer Vision (ICCV) (2019)
2019
Later among the works it cites.
Wang, Y., Sun, Y., Liu, Z., Sarma, S.E., Bronstein, M.M., Solomon, J.M.: Dynamic graph cnn for learning on point clouds. ACM Transactions on Graphics (TOG) (2019)
2019
Later among the works it cites.
2019
Later among the works it cites.
2019
Later among the works it cites.
Zhang, S.H., Li, R., Dong, X., Rosin, P., Cai, Z., Han, X., Yang, D., Huang, H., Hu, S.M.: Pose2seg: detection free human instance segmentation. In: The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2019)
2019
Later among the works it cites.
Zhou, X., Wang, D., Krähenbühl, P.: Objects as points. arXiv preprint arXiv:1904.07850 (2019)
2019
Later among the works it cites.