Fetching the paper…
Reading the bibliography…
A key assumption of top-down human pose estimation approaches is their expectation of having a single person/instance present in the input bounding box.
Multitask learning
Rich Caruana · 1997
Earlier work this paper cites.
Review of multi-instance learning and its applications
Jun Yang · 2005
Earlier work this paper cites.
No bias left behind: Covariate shift adaptation for discriminative 3d pose estimation
Makoto Yamada, Leonid Sigal, and Michalis Raptis · 2012
Earlier work this paper cites.
Single-pedestrian detection aided by multi-pedestrian detection
Wanli Ouyang and Xiaogang Wang · 2013
Earlier work this paper cites.
2d human pose estimation: New benchmark and state of the art analysis
Mykhaylo Andriluka, Leonid Pishchulin, Peter Gehler, and Bernt Schiele · 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.
Conditional generative adversarial nets
Mehdi Mirza and Simon Osindero · 2014
Earlier work this paper cites.
Detection and tracking of occluded people
Siyu Tang, Mykhaylo Andriluka, and Bernt Schiele · 2014
Earlier work this paper cites.
Panoptic studio: A massively multiview system for social motion capture
Hanbyul Joo, Hao Liu, Lei Tan, Lin Gui, Bart Nabbe, Iain Matthews, Takeo Kanade, Shohei Nobuhara, and Yaser Sheikh · 2015
Earlier work this paper cites.
Deepcut: Joint subset partition and labeling for multi person pose estimation.[arxiv], 2015
L Pishchulin, E Insafutdinov, S Tang, B Andres, M Andriluka, P Gehler, and Bb Schiele · 2015
Earlier work this paper cites.
Faster r-cnn: Towards real-time object detection with region proposal networks
Shaoqing Ren, Kaiming He, Ross Girshick, and Jian Sun · 2015
Earlier work this paper cites.
Realtime multi-person 2d pose estimation using part affinity fields. corr abs/1611.08050
Z Cao, T Simon, S Wei, and Y Sheikh · 2016
Earlier work this paper cites.
Deepercut: A deeper, stronger, and faster multi-person pose estimation model
Eldar Insafutdinov, Leonid Pishchulin, Bjoern Andres, Mykhaylo Andriluka, and Bernt Schiele · 2016
Earlier work this paper cites.
Multi-person pose estimation with local joint-to-person associations
Umar Iqbal and Juergen Gall · 2016
Earlier work this paper cites.
Ssd: Single shot multibox detector
Wei Liu, Dragomir Anguelov, Dumitru Erhan, Christian Szegedy, Scott Reed, Cheng-Yang Fu, and Alexander C Berg · 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.
End-to-end people detection in crowded scenes
Russell Stewart, Mykhaylo Andriluka, and Andrew Y Ng · 2016
Cited alongside, same era.
Rmpe: Regional multi-person pose estimation
Hao-Shu Fang, Shuqin Xie, Yu-Wing Tai, and Cewu Lu · 2017
Cited alongside, same era.
Mask r-cnn. corr abs/1703.06870 (2017)
Kaiming He, Georgia Gkioxari, Piotr Dollár, and Ross B Girshick · 2017
Cited alongside, same era.
A coarse-fine network for keypoint localization
Shaoli Huang, Mingming Gong, and Dacheng Tao · 2017
Cited alongside, same era.
Ubernet: Training a universal convolutional neural network for low-, mid-, and high-level vision using diverse datasets and limited memory
Iasonas Kokkinos · 2017
Cited alongside, same era.
Feature pyramid networks for object detection
Personlab: Person pose estimation and instance segmentation with a bottom-up, part-based, geometric embedding model
George Papandreou, Tyler Zhu, Liang-Chieh Chen, Spyros Gidaris, Jonathan Tompson, and Kevin Murphy · 2018
Later among the works it cites.
Yolov3: An incremental improvement
Joseph Redmon and Ali Farhadi · 2018
Later among the works it cites.
Simple baselines for human pose estimation and tracking
Bin Xiao, Haiping Wu, and Yichen Wei · 2018
Later among the works it cites.
Taskonomy: Disentangling task transfer learning
Amir R Zamir, Alexander Sax, William Shen, Leonidas J Guibas, Jitendra Malik, and Silvio Savarese · 2018
Later among the works it cites.
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 · 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…
Tsung-Yi Lin, Piotr Dollár, Ross Girshick, Kaiming He, Bharath Hariharan, and Serge Belongie · 2017
Cited alongside, same era.
Associative embedding: End-to-end learning for joint detection and grouping
Alejandro Newell, Zhiao Huang, and Jia Deng · 2017
Cited alongside, same era.
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
Cited alongside, same era.
Supplementary materials for the iccv 2017 paper: Benchmarking and error diagnosis in multi-instance pose estimation
Matteo Ruggero Ronchi and Pietro Perona · 2017
Cited alongside, same era.
Compositional human pose regression
Xiao Sun, Jiaxiang Shang, Shuang Liang, and Yichen Wei · 2017
Cited alongside, same era.
Posetrack: A benchmark for human pose estimation and tracking
Mykhaylo Andriluka, Umar Iqbal, Eldar Insafutdinov, Leonid Pishchulin, Anton Milan, Juergen Gall, and Bernt Schiele · 2018
Cited alongside, same era.
Multiple instance learning: A survey of problem characteristics and applications
Marc-André Carbonneau, Veronika Cheplygina, Eric Granger, and Ghyslain Gagnon · 2018
Cited alongside, same era.
You only train once: Loss-conditional training of deep networks
Alexey Dosovitskiy and Josip Djolonga · 2019
Later among the works it cites.
Pifpaf: Composite fields for human pose estimation
Sven Kreiss, Lorenzo Bertoni, and Alexandre Alahi · 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.
Attentive single-tasking of multiple tasks
Kevis-Kokitsi Maninis, Ilija Radosavovic, and Iasonas Kokkinos · 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.
Pose2seg: Detection free human instance segmentation
Song-Hai Zhang, Ruilong Li, Xin Dong, Paul Rosin, Zixi Cai, Xi Han, Dingcheng Yang, Haozhi Huang, and Shi-Min Hu · 2019
Later among the works it cites.
Detection in crowded scenes: One proposal, multiple predictions
Xuangeng Chu, Anlin Zheng, Xiangyu Zhang, and Jian Sun · 2020
Later among the works it cites.
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
Later among the works it cites.
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
Later among the works it cites.
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
Later among the works it cites.
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, et al · 2020
Later among the works it cites.