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In this paper, we are interested in the bottom-up paradigm of estimating human poses from an image.
Articulated pose estimation with flexible mixtures-of-parts
Yi Yang and Deva Ramanan · 2011
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Representation learning: A review and new perspectives
Yoshua Bengio, Aaron C. Courville, and Pascal Vincent · 2013
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Poselet conditioned pictorial structures
Leonid Pishchulin, Mykhaylo Andriluka, Peter V. Gehler, and Bernt Schiele · 2013
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Microsoft COCO: common objects in context
Tsung-Yi Lin, Michael Maire, Serge J. Belongie, James Hays, Pietro Perona, Deva Ramanan, Piotr Dollár, and C. Lawrence Zitnick · 2014
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Deeppose: Human pose estimation via deep neural networks
Alexander Toshev and Christian Szegedy · 2014
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Robust optimization for deep regression
Vasileios Belagiannis, Christian Rupprecht, Gustavo Carneiro, and Nassir Navab · 2015
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Combining local appearance and holistic view: Dual-source deep neural networks for human pose estimation
Xiaochuan Fan, Kang Zheng, Yuewei Lin, and Song Wang · 2015
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Spatial transformer networks
Max Jaderberg, Karen Simonyan, Andrew Zisserman, and Koray Kavukcuoglu · 2015
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Adam: A method for stochastic optimization
Diederik P. Kingma and Jimmy Ba · 2015
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Human pose estimation via convolutional part heatmap regression
Adrian Bulat and Georgios Tzimiropoulos · 2016
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Human pose estimation with iterative error feedback
João Carreira, Pulkit Agrawal, Katerina Fragkiadaki, and Jitendra Malik · 2016
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Structured feature learning for pose estimation
Xiao Chu, Wanli Ouyang, Hongsheng Li, and Xiaogang Wang · 2016
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Chained predictions using convolutional neural networks
Georgia Gkioxari, Alexander Toshev, and Navdeep Jaitly · 2016
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Deepercut: A deeper, stronger, and faster multi-person pose estimation model
Eldar Insafutdinov, Leonid Pishchulin, Bjoern Andres, Mykhaylo Andriluka, and Bernt Schiele · 2016
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Multi-person pose estimation with local joint-to-person associations
Umar Iqbal and Juergen Gall · 2016
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Human pose estimation using deep consensus voting
Ita Lifshitz, Ethan Fetaya, and Shimon Ullman · 2016
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Stacked hourglass networks for human pose estimation
Alejandro Newell, Kaiyu Yang, and Jia Deng · 2016
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Deepcut: Joint subset partition and labeling for multi person pose estimation
Leonid Pishchulin, Eldar Insafutdinov, Siyu Tang, Bjoern Andres, Mykhaylo Andriluka, Peter V. Gehler, and Bernt Schiele · 2016
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Convolutional pose machines
Shih-En Wei, Varun Ramakrishna, Takeo Kanade, and Yaser Sheikh · 2016
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End-to-end learning of deformable mixture of parts and deep convolutional neural networks for human pose estimation
Wei Yang, Wanli Ouyang, Hongsheng Li, and Xiaogang Wang · 2016
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Realtime multi-person 2d pose estimation using part affinity fields
Zhe Cao, Tomas Simon, Shih-En Wei, and Yaser Sheikh · 2017
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Adversarial posenet: A structure-aware convolutional network for human pose estimation
Yu Chen, Chunhua Shen, Xiu-Shen Wei, Lingqiao Liu, and Jian Yang · 2017
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Multi-context attention for human pose estimation
Xiao Chu, Wei Yang, Wanli Ouyang, Cheng Ma, Alan L. Yuille, and Xiaogang Wang · 2017
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Deformable convolutional networks
Jifeng Dai, Haozhi Qi, Yuwen Xiong, Yi Li, Guodong Zhang, Han Hu, and Yichen Wei · 2017
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Unsupervised learning of disentangled representations from video
Emily L. Denton and Vighnesh Birodkar · 2017
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RMPE: regional multi-person pose estimation
Haoshu Fang, Shuqin Xie, Yu-Wing Tai, and Cewu Lu · 2017
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Mask R-CNN
Kaiming He, Georgia Gkioxari, Piotr Dollár, and Ross B. Girshick · 2017
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A coarse-fine network for keypoint localization
Shaoli Huang, Mingming Gong, and Dacheng Tao · 2017
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Associative embedding: End-to-end learning for joint detection and grouping
Alejandro Newell, Zhiao Huang, and Jia Deng · 2017
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Towards accurate multi-person pose estimation in the wild
George Papandreou, Tyler Zhu, Nori Kanazawa, Alexander Toshev, Jonathan Tompson, Chris Bregler, and Kevin Murphy · 2017
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Benchmarking and error diagnosis in multi-instance pose estimation
Matteo Ruggero Ronchi and Pietro Perona · 2017
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Human pose estimation using global and local normalization
Ke Sun, Cuiling Lan, Junliang Xing, Wenjun Zeng, Dong Liu, and Jingdong Wang · 2017
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Posefix: Model-agnostic general human pose refinement network
Gyeongsik Moon, Ju Yong Chang, and Kyoung Mu Lee · 2019
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Single-stage multi-person pose machines
Xuecheng Nie, Jiashi Feng, Jianfeng Zhang, and Shuicheng Yan · 2019
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Pytorch cnn visualizations
Utku Ozbulak · 2019
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Multi-person pose estimation with enhanced channel-wise and spatial information
Kai Su, Dongdong Yu, Zhenqi Xu, Xin Geng, and Changhu Wang · 2019
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Deep high-resolution representation learning for human pose estimation
Ke Sun, Bin Xiao, Dong Liu, and Jingdong Wang · 2019
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Does learning specific features for related parts help human pose estimation?
Wei Tang and Ying Wu · 2019
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Decomposing motion and content for natural video sequence prediction
Ruben Villegas, Jimei Yang, Seunghoon Hong, Xunyu Lin, and Honglak Lee · 2017
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Learning feature pyramids for human pose estimation
Wei Yang, Shuang Li, Wanli Ouyang, Hongsheng Li, and Xiaogang Wang · 2017
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Cascaded pyramid network for multi-person pose estimation
Yilun Chen, Zhicheng Wang, Yuxiang Peng, Zhiqiang Zhang, Gang Yu, and Jian Sun · 2018
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Learning to refine human pose estimation
Mihai Fieraru, Anna Khoreva, Leonid Pishchulin, and Bernt Schiele · 2018
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Multi-scale structure-aware network for human pose estimation
Lipeng Ke, Ming-Ching Chang, Honggang Qi, and Siwei Lyu · 2018
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Cornernet: Detecting objects as paired keypoints
Hei Law and Jia Deng · 2018
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Directpose: Direct end-to-end multi-person pose estimation
Zhi Tian, Hao Chen, and Chunhua Shen · 2019
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Fast human pose estimation
Feng Zhang, Xiatian Zhu, and Mao Ye · 2019
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Human pose estimation with spatial contextual information
Hong Zhang, Hao Ouyang, Shu Liu, Xiaojuan Qi, Xiaoyong Shen, Ruigang Yang, and Jiaya Jia · 2019
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Gait recognition via disentangled representation learning
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Objects as points
Xingyi Zhou, Dequan Wang, and Philipp Krähenbühl · 2019
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Unipose: Unified human pose estimation in single images and videos
Bruno Artacho and Andreas E. Savakis · 2020
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Adversarial semantic data augmentation for human pose estimation
Yanrui Bin, Xuan Cao, Xinya Chen, Yanhao Ge, Ying Tai, Chengjie Wang, Jilin Li, Feiyue Huang, Changxin Gao, and Nong Sang · 2020
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Learning delicate local representations for multi-person pose estimation
Yuanhao Cai, Zhicheng Wang, Zhengxiong Luo, Binyi Yin, Angang Du, Haoqian Wang, Xiangyu Zhang, Xinyu Zhou, Erjin Zhou, and Jian Sun · 2020
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Higherhrnet: Scale-aware representation learning for bottom-up human pose estimation
Bowen Cheng, Bin Xiao, Jingdong Wang, Honghui Shi, Thomas S. Huang, and Lei Zhang · 2020
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The devil is in the details: Delving into unbiased data processing for human pose estimation
Junjie Huang, Zheng Zhu, Feng Guo, and Guan Huang · 2020
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Differentiable hierarchical graph grouping for multi-person pose estimation
Sheng Jin, Wentao Liu, Enze Xie, Wenhai Wang, Chen Qian, Wanli Ouyang, and Ping Luo · 2020
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Simple pose: Rethinking and improving a bottom-up approach for multi-person pose estimation
Jia Li, Wen Su, and Zengfu Wang · 2020
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Peeking into occluded joints: A novel framework for crowd pose estimation
Lingteng Qiu, Xuanye Zhang, Yanran Li, Guanbin Li, Xiaojun Wu, Zixiang Xiong, Xiaoguang Han, and Shuguang Cui · 2020
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Mixture dense regression for object detection and human pose estimation
Ali Varamesh and Tinne Tuytelaars · 2020
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Graph-pcnn: Two stage human pose estimation with graph pose refinement
Jian Wang, Xiang Long, Yuan Gao, Errui Ding, and Shilei Wen · 2020
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Deep high-resolution representation learning for visual recognition
Jingdong Wang, Ke Sun, Tianheng Cheng, Borui Jiang, Chaorui Deng, Yang Zhao, Dong Liu, Yadong Mu, Mingkui Tan, Xinggang Wang, Wenyu Liu, and Bin Xiao · 2020
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Point-set anchors for object detection, instance segmentation and pose estimation
Fangyun Wei, Xiao Sun, Hongyang Li, Jingdong Wang, and Stephen Lin · 2020
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Distribution-aware coordinate representation for human pose estimation
Feng Zhang, Xiatian Zhu, Hanbin Dai, Mao Ye, and Ce Zhu · 2020
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Occlusion-aware siamese network for human pose estimation
Lu Zhou, Yingying Chen, Yunze Gao, Jinqiao Wang, and Hanqing Lu · 2020
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S3VAE: self-supervised sequential VAE for representation disentanglement and data generation
Yizhe Zhu, Martin Renqiang Min, Asim Kadav, and Hans Peter Graf · 2020
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