Fetching the paper…
Reading the bibliography…
Heatmap regression has become the most prevalent choice for nowadays human pose estimation methods.
Robotic grasping of novel objects using vision
A. Saxena, Justin Driemeyer, and A. Ng · 2008
Earlier work this paper cites.
Machine learning - a probabilistic perspective
K. Murphy · 2012
Earlier work this paper cites.
Adam: a method for stochastic optimization. corr abs/1412.6980 (2014), 2014
Diederik P Kingma and Jimmy Ba · 2014
Earlier work this paper cites.
Microsoft coco: Common objects in context
Tsung-Yi Lin, Michael Maire, Serge Belongie, James Hays, Pietro Perona, Deva Ramanan, Piotr Dollár, and C Lawrence Zitnick · 2014
Earlier work this paper cites.
Deeppose: Human pose estimation via deep neural networks
Alexander Toshev and Christian Szegedy · 2014
Earlier work this paper cites.
Dropout as a bayesian approximation: Representing model uncertainty in deep learning
Yarin Gal and Zoubin Ghahramani · 2016
Earlier work this paper cites.
Stacked hourglass networks for human pose estimation
Alejandro Newell, Kaiyu Yang, and Jia Deng · 2016
Earlier work this paper cites.
Convolutional pose machines
Shih-En Wei, Varun Ramakrishna, Takeo Kanade, and Yaser Sheikh · 2016
Earlier work this paper cites.
Semantic instance segmentation with a discriminative loss function
Bert De Brabandere, D. Neven, and L. Gool · 2017
Earlier work this paper cites.
How far are we from solving the 2d & 3d face alignment problem?(and a dataset of 230,000 3d facial landmarks)
Adrian Bulat and Georgios Tzimiropoulos · 2017
Earlier work this paper cites.
Rmpe: Regional multi-person pose estimation
Haoshu Fang, S. Xie, Yu-Wing Tai, and Cewu Lu · 2017
Earlier work this paper cites.
Semantic instance segmentation via deep metric learning
Alireza Fathi, Z. Wojna, Vivek Rathod, P. Wang, Hyun Oh Song, S. Guadarrama, and K. Murphy · 2017
Earlier work this paper cites.
A coarse-fine network for keypoint localization
Shaoli Huang, M. Gong, and D. Tao · 2017
Earlier work this paper cites.
Deep convolutional encoder-decoder network with model uncertainty for semantic segmentation
S. Isobe and S. Arai · 2017
Cited alongside, same era.
Associative embedding: End-to-end learning for joint detection and grouping
Alejandro Newell, Zhiao Huang, and J. Deng · 2017
Cited alongside, same era.
Towards accurate multi-person pose estimation in the wild
G. Papandreou, Tyler Lixuan Zhu, Nori Kanazawa, A. Toshev, J. Tompson, C. Bregler, and Kevin Murphy · 2017
Cited alongside, same era.
Hand keypoint detection in single images using multiview bootstrapping
Tomas Simon, Hanbyul Joo, I. Matthews, and Yaser Sheikh · 2017
Cited alongside, same era.
Cascaded pyramid network for multi-person pose estimation
Yilun Chen, Zhicheng Wang, Yuxiang Peng, Zhiqiang Zhang, Gang Yu, and Jian Sun · 2018
Cited alongside, same era.
Personlab: Person pose estimation and instance segmentation with a bottom-up, part-based, geometric embedding model
Pifpaf: Composite fields for human pose estimation
S. Kreiss, L. Bertoni, and Alexandre Alahi · 2019
Later among the works it cites.
Cornernet: Detecting objects as paired keypoints
Hei Law and J. Deng · 2019
Later among the works it cites.
Crowdpose: Efficient crowded scenes pose estimation and a new benchmark
Jiefeng Li, Can Wang, Hao Zhu, Yihuan Mao, Hao-Shu Fang, and Cewu Lu · 2019
Later among the works it cites.
Single-stage multi-person pose machines
Xuecheng Nie, J. Zhang, S. Yan, and Jiashi Feng · 2019
Later among the works it cites.
Probabilistic face embeddings
Yichun Shi, Anil K. Jain, and Nathan D. Kalka · 2019
Later among the works it cites.
Deep high-resolution representation learning for human pose estimation
Ke Sun, Bin Xiao, Dong Liu, and Jingdong Wang · 2019
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
G. Papandreou, Tyler Lixuan Zhu, Liang-Chieh Chen, Spyros Gidaris, J. Tompson, and Kevin Murphy · 2018
Cited alongside, same era.
Pose proposal networks
Taiki Sekii · 2018
Cited alongside, same era.
Integral human pose regression
Xiao Sun, Bin Xiao, S. Liang, and Y. Wei · 2018
Cited alongside, same era.
Simple baselines for human pose estimation and tracking
Bin Xiao, Haiping Wu, and Yichen Wei · 2018
Cited alongside, same era.
Openpose: Realtime multi-person 2d pose estimation using part affinity fields
Zhe Cao, Gines Hidalgo Martinez, Tomas Simon, Shih-En Wei, and Yaser Sheikh · 2019
Cited alongside, same era.
Bottom-up higher-resolution networks for multi-person pose estimation
Bowen Cheng, Bin Xiao, J. Wang, Humphrey Shi, T. Huang, and Lei Zhang · 2019
Cited alongside, same era.
Gaussian yolov3: An accurate and fast object detector using localization uncertainty for autonomous driving
J. Choi, Dayoung Chun, H. Kim, and H. Lee · 2019
Cited alongside, same era.
Xingyi Zhou, Dequan Wang, and Philipp Krähenbühl · 2019
Later among the works it cites.
Learning delicate local representations for multi-person pose estimation
Yuanhao Cai, Zhicheng Wang, Zhengxiong Luo, Binyi Yin, Angang Du, Haoqian Wang, Xinyu Zhou, Erjin Zhou, Xiangyu Zhang, and Jian Sun · 2020
Closest in time.
Refinement of boundary regression using uncertainty in temporal action localization
Y. Chen · 2020
Closest in time.
Mask r-cnn
Kaiming He, Georgia Gkioxari, P. Dollár, and Ross B. Girshick · 2020
Closest in time.
Simple pose: Rethinking and improving a bottom-up approach for multi-person pose estimation
Jia Li, Wen Su, and Zeng-Fu Wang · 2020
Closest in time.
Focal loss for dense object detection
Tsung-Yi Lin, Priyal Goyal, Ross B. Girshick, Kaiming He, and P. Dollár · 2020
Closest in time.