Fetching the paper…
Reading the bibliography…
Recognition of human poses and actions is crucial for autonomous systems to interact smoothly with people.
Biometrika 30
Kendall, M.G.: A new measure of rank correlation · 1938
Earlier work this paper cites.
In: Annual Conference on Neural Information Processing Systems (NeurIPS) (1994)
Bromley, J., Guyon, I., LeCun, Y., Säckinger, E., Shah, R.: Signature verification using a “siamese” time delay neural network · 1994
Earlier work this paper cites.
In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2001)
Rao, C., Shah, M.: View-invariance in action recognition · 2001
Earlier work this paper cites.
In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2004)
LeCun, Y., Huang, F.J., Bottou, L., et al.: Learning methods for generic object recognition with invariance to pose and lighting · 2004
Earlier work this paper cites.
In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2006)
Hadsell, R., Chopra, S., LeCun, Y.: Dimensionality reduction by learning an invariant mapping · 2006
Earlier work this paper cites.
Computer Vision and Image Understanding (CVIU) 104
Ong, E.J., Micilotta, A.S., Bowden, R., Hilton, A.: Viewpoint invariant exemplar-based 3D human tracking · 2006
Earlier work this paper cites.
In: International Conference on Knowledge Based and Intelligent information and Engineering Systems (KES) (2008)
Ji, X., Liu, H., Li, Y., Brown, D.: Visual-based view-invariant human motion analysis: A review · 2008
Earlier work this paper cites.
IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews) 40
Ji, X., Liu, H.: Advances in view-invariant human motion analysis: A review · 2009
Earlier work this paper cites.
In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2010)
Hu, W., Zhu, S.C.: Learning a probabilistic model mixing 3D and 2D primitives for view invariant object recognition · 2010
Earlier work this paper cites.
Journal of Machine Learning Research (JMLR) 12
Duchi, J., Hazan, E., Singer, Y.: Adaptive subgradient methods for online learning and stochastic optimization · 2011
Earlier work this paper cites.
In: ACM International Conference on Multimedia (ACMMM) (2012)
Jammalamadaka, N., Zisserman, A., Eichner, M., Ferrari, V., Jawahar, C.: Video retrieval by mimicking poses · 2012
Earlier work this paper cites.
In: IEEE Conference on Computer Vision and Pattern Recognition Workshop (CVPRW) (2012)
Xia, L., Chen, C.C., Aggarwal, J.K.: View invariant human action recognition using histograms of 3D joints · 2012
Earlier work this paper cites.
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 36
Ionescu, C., Papava, D., Olaru, V., Sminchisescu, C.: Human3.6M: Large scale datasets and predictive methods for 3D human sensing in natural environments · 2013
Earlier work this paper cites.
In: IEEE International Conference on Computer Vision (ICCV) (2013)
Zhang, W., Zhu, M., Derpanis, K.G.: From actemes to action: A strongly-supervised representation for detailed action understanding · 2013
Earlier work this paper cites.
In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2014)
Andriluka, M., Pishchulin, L., Gehler, P., Schiele, B.: 2D human pose estimation: New benchmark and state of the art analysis · 2014
Earlier work this paper cites.
In: International Conference on Learning Representations (ICLR) (2014)
Kingma, D.P., Welling, M.: Auto-encoding variational Bayes · 2014
Earlier work this paper cites.
In: European Conference on Computer Vision (ECCV) (2014)
Lin, T.Y., Maire, M., Belongie, S., Hays, J., Perona, P., Ramanan, D., Dollár, P., Zitnick, C.L.: Microsoft COCO: Common objects in context · 2014
Earlier work this paper cites.
In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2014)
Wang, J., Song, Y., Leung, T., Rosenberg, C., Wang, J., Philbin, J., Chen, B., Wu, Y.: Learning fine-grained image similarity with deep ranking · 2014
Earlier work this paper cites.
URL https://www.tensorflow.org/
Abadi, M., Agarwal, A., Barham, P., Brevdo, E., Chen, Z., Citro, C., Corrado, G.S., Davis, A., Dean, J., Devin, M., Ghemawat, S., Goodfellow, I., Harp, A., Irving, G., Isard, M., Jia, Y., Jozefowicz, R., Kaiser, L., Kudlur, M., Levenberg, J., Mané, D., Monga, R., Moore, S., Murray, D., Olah, C., Schuster, M., Shlens, J., Steiner, B., Sutskever, I., Talwar, K., Tucker, P., Vanhoucke, V., Vasudevan, V., Viégas, F., Vinyals, O., Warden, P., Wattenberg, M., Wicke, M., Yu, Y., Zheng, X.: TensorFlow: Large-scale machine learning on heterogeneous systems (2015) · 2015
Earlier work this paper cites.
In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2015)
Akhter, I., Black, M.J.: Pose-conditioned joint angle limits for 3D human pose reconstruction · 2015
Earlier work this paper cites.
Mori, G., Pantofaru, C., Kothari, N., Leung, T., Toderici, G., Toshev, A., Yang, W.: Pose embeddings: A deep architecture for learning to match human poses · 2015
Earlier work this paper cites.
In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2015)
Nie, B.X., Xiong, C., Zhu, S.C.: Joint action recognition and pose estimation from video · 2015
Earlier work this paper cites.
In: British Machine Vision Conference (BMVC) (2015)
Parkhi, O.M., Vedaldi, A., Zisserman, A.: Deep face recognition · 2015
Earlier work this paper cites.
In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2015)
Schroff, F., Kalenichenko, D., Philbin, J.: FaceNet: A unified embedding for face recognition and clustering · 2015
Earlier work this paper cites.
In: International Conference on Learning Representations (ICLR) (2015)
Vilnis, L., McCallum, A.: Word representations via Gaussian embedding · 2015
Earlier work this paper cites.
In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2015)
Wohlhart, P., Lepetit, V.: Learning descriptors for object recognition and 3D pose estimation · 2015
Earlier work this paper cites.
In: Annual Conference on Neural Information Processing Systems (NeurIPS) (2016)
Huang, C., Loy, C.C., Tang, X.: Local similarity-aware deep feature embedding · 2016
Earlier work this paper cites.
In: European Conference on Computer Vision (ECCV) (2016)
Misra, I., Zitnick, C.L., Hebert, M.: Shuffle and learn: Unsupervised learning using temporal order verification · 2016
Cited alongside, same era.
In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2016)
Oh Song, H., Xiang, Y., Jegelka, S., Savarese, S.: Deep metric learning via lifted structured feature embedding · 2016
Cited alongside, same era.
In: IEEE International Conference on Data Mining (ICDM) (2016)
Ronchi, M.R., Kim, J.S., Yue, Y.: A rotation invariant latent factor model for moveme discovery from static poses · 2016
Cited alongside, same era.
IEEE Transactions on Cybernetics 48
Cao, C., Zhang, Y., Zhang, C., Lu, H.: Body joint guided 3-D deep convolutional descriptors for action recognition · 2017
Cited alongside, same era.
In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2017)
Chen, C.H., Ramanan, D.: 3D human pose estimation = 2D pose estimation + matching · 2017
Cited alongside, same era.
In: European Conference on Computer Vision (ECCV) (2018)
Rayat Imtiaz Hossain, M., Little, J.J.: Exploiting temporal information for 3D human pose estimation · 2018
Later among the works it cites.
In: European Conference on Computer Vision (ECCV) (2018)
Rhodin, H., Salzmann, M., Fua, P.: Unsupervised geometry-aware representation for 3D human pose estimation · 2018
Later among the works it cites.
In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2018)
Rhodin, H., Spörri, J., Katircioglu, I., Constantin, V., Meyer, F., Müller, E., Salzmann, M., Fua, P.: Learning monocular 3D human pose estimation from multi-view images · 2018
Later among the works it cites.
Sárándi, I., Linder, T., Arras, K.O., Leibe, B.: Synthetic occlusion augmentation with volumetric heatmaps for the 2018 ECCV PoseTrack Challenge on 3D human pose estimation · 2018
Later among the works it cites.
In: International Conference on Robotics and Automation (ICRA) (2018)
Sermanet, P., Lynch, C., Chebotar, Y., Hsu, J., Jang, E., Schaal, S., Levine, S., Brain, G.: Time-contrastive networks: Self-supervised learning from video · 2018
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
In: IEEE International Conference on Computer Vision (ICCV) (2017)
Du, W., Wang, Y., Qiao, Y.: RPAN: An end-to-end recurrent pose-attention network for action recognition in videos · 2017
Cited alongside, same era.
In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2017)
He, K., Gkioxari, G., Dollár, P., Girshick, R.: Mask R-CNN · 2017
Cited alongside, same era.
Hermans, A., Beyer, L., Leibe, B.: In defense of the triplet loss for person re-identification · 2017
Cited alongside, same era.
In: IEEE International Conference on Automatic Face and Gesture Recognition (FG) (2017)
Iqbal, U., Garbade, M., Gall, J.: Pose for action - Action for pose · 2017
Cited alongside, same era.
In: Annual Conference on Neural Information Processing Systems (NeurIPS) (2017)
Kendall, A., Gal, Y.: What uncertainties do we need in Bayesian deep learning for computer vision? · 2017
Cited alongside, same era.
In: International Conference on Learning Representations (ICLR) (2017)
Kipf, T.N., Welling, M.: Semi-supervised classification with graph convolutional networks · 2017
Cited alongside, same era.
In: IEEE International Conference on Computer Vision (ICCV) (2017)
Martinez, J., Hossain, R., Romero, J., Little, J.J.: A simple yet effective baseline for 3D human pose estimation · 2017
Cited alongside, same era.
Later among the works it cites.
In: European Conference on Computer Vision (ECCV) (2018)
Sun, X., Xiao, B., Wei, F., Liang, S., Wei, Y.: Integral human pose regression · 2018
Later among the works it cites.
In: International Conference on 3D Vision (3DV) (2018)
Tome, D., Toso, M., Agapito, L., Russell, C.: Rethinking pose in 3D: Multi-stage refinement and recovery for markerless motion capture · 2018
Later among the works it cites.
In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2019)
Chen, C.H., Tyagi, A., Agrawal, A., Drover, D., Stojanov, S., Rehg, J.M.: Unsupervised 3D pose estimation with geometric self-supervision · 2019
Later among the works it cites.
In: IEEE International Conference on Computer Vision (ICCV) (2019)
Cheng, Y., Yang, B., Wang, B., Yan, W., Tan, R.T.: Occlusion-aware networks for 3D human pose estimation in video · 2019
Later among the works it cites.
In: IEEE International Conference on Computer Vision (ICCV) (2019)
Chu, R., Sun, Y., Li, Y., Liu, Z., Zhang, C., Wei, Y.: Vehicle re-identification with viewpoint-aware metric learning · 2019
Later among the works it cites.
In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2019)
Dwibedi, D., Aytar, Y., Tompson, J., Sermanet, P., Zisserman, A.: Temporal cycle-consistency learning · 2019
Later among the works it cites.
Sensors 19
Garcia-Salguero, M., Gonzalez-Jimenez, J., Moreno, F.A.: Human 3D pose estimation with a tilting camera for social mobile robot interaction · 2019
Later among the works it cites.
In: IEEE Conference on Multimedia Information Processing and Retrieval (MIPR) (2019)
Gu, R., Wang, G., Hwang, J.N.: Efficient multi-person hierarchical 3D pose estimation for autonomous driving · 2019
Later among the works it cites.
In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2019)
Ho, C.H., Morgado, P., Persekian, A., Vasconcelos, N.: PIEs: Pose Invariant Embeddings · 2019
Later among the works it cites.
In: IEEE International Conference on Computer Vision (ICCV) (2019)
Iskakov, K., Burkov, E., Lempitsky, V., Malkov, Y.: Learnable triangulation of human pose · 2019
Later among the works it cites.
In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2019)
Kocabas, M., Karagoz, S., Akbas, E.: Self-supervised learning of 3D human pose using multi-view geometry · 2019
Later among the works it cites.
In: International Conference on Learning Representations (ICLR) (2019)
Oh, S.J., Murphy, K., Pan, J., Roth, J., Schroff, F., Gallagher, A.: Modeling uncertainty with hedged instance embedding · 2019
Later among the works it cites.
In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2019)
Pavllo, D., Feichtenhofer, C., Grangier, D., Auli, M.: 3D human pose estimation in video with temporal convolutions and semi-supervised training · 2019
Later among the works it cites.
In: IEEE International Conference on Computer Vision (ICCV) (2019)
Qiu, H., Wang, C., Wang, J., Wang, N., Zeng, W.: Cross view fusion for 3D human pose estimation · 2019
Later among the works it cites.
In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2019)
Zhao, L., Peng, X., Tian, Y., Kapadia, M., Metaxas, D.N.: Semantic graph convolutional networks for 3D human pose regression · 2019
Later among the works it cites.
IEEE Transactions on Image Processing (TIP) 28
Zheng, L., Huang, Y., Lu, H., Yang, Y.: Pose invariant embedding for deep person re-identification · 2019
Later among the works it cites.
In: International Conference on Machine Learning (ICML) (2020)
Chen, T., Kornblith, S., Norouzi, M., Hinton, G.: A simple framework for contrastive learning of visual representations · 2020
Closest in time.
In: AAAI Conference on Artifical Intelligence (AAAI) (2020)
Cheng, Y., Yang, B., Wang, B., Tan, R.T.: 3D human pose estimation using spatio-temporal networks with explicit occlusion training · 2020
Closest in time.
In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2020)
Li, S., Ke, L., Pratama, K., Tai, Y.W., Tang, C.K., Cheng, K.T.: Cascaded deep monocular 3D human pose estimation with evolutionary training data · 2020
Closest in time.
In: European Conference on Computer Vision (ECCV) (2020)
Sun, J.J., Zhao, J., Chen, L.C., Schroff, F., Adam, H., Liu, T.: View-invariant probabilistic embedding for human pose · 2020
Closest in time.
In: European Conference on Computer Vision (ECCV) (2020)
Zeng, A., Sun, X., Huang, F., Liu, M., Xu, Q., Lin, S.: SRNet: Improving generalization in 3D human pose estimation with a split-and-recombine approach · 2020
Closest in time.
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) pp. 2752–2764 (2021)
Luvizon, D.C., Tabia, H., Picard, D.: Multi-task deep learning for real-time 3D human pose estimation and action recognition · 2021
Closest in time.