Learning Feature Pyramids for Human Pose Estimation

Keywords

Initialization, Computer science, Pyramid (geometry), Convolutional neural network, Pose

References

• PYRAMID METHODS IN IMAGE PROCESSING.Edward H. Adelson, Peter J. Burt, Charles H. Anderson — 1984
• Torch7: A Matlab-like Environment for Machine LearningRonan Collobert, Koray Kavukcuoglu, Clément Farabet — 2011
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• Human Pose Estimation with Iterative Error FeedbackJoão Carreira, Pulkit Agrawal, Katerina Fragkiadaki — 2015
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• Matching-CNN meets KNN: Quasi-parametric human parsingSi Liu, Xiaodan Liang, Luoqi Liu — 2015
• Articulated pose estimation with flexible mixtures-of-partsYi Yang, Deva Ramanan — 2011
• Articulated Human Detection with Flexible Mixtures of PartsYi Yang, Deva Ramanan — 2013
• Pictorial Structures for Object RecognitionPedro F. Felzenszwalb, Daniel P. Huttenlocher — 2004
• Clothing Co-parsing by Joint Image Segmentation and LabelingWei Yang, Ping Luo, Liang Lin — 2014
• The Representation and Matching of Pictorial StructuresMartin A. Fischler, R.A. Elschlager — 1973
• Parsing clothing in fashion photographsKota Yamaguchi, M. Hadi Kiapour, Luis E. Ortiz — 2012
• 2D Human Pose Estimation: New Benchmark and State of the Art AnalysisMykhaylo Andriluka, Leonid Pishchulin, Peter Gehler — 2014
• Fast globally optimal 2D human detection with loopy graph modelsTai-Peng Tian, Stan Sclaroff — 2010
• Going deeper with convolutionsChristian Szegedy, Wei Liu, Yangqing Jia — 2014
• Recognizing human actions from still images with latent posesWeilong Yang, Yang Wang, Greg Mori — 2010

Cited by

• Compositional Human Pose RegressionXiao Sun, Jiaxiang Shang, Shuang Liang — 2017
• Mass Displacement NetworksNatalia Neverova, Iasonas Kokkinos — 2017
• Human Pose Regression by Combining Indirect Part Detection and Contextual InformationDiogo Luvizon, Hedi Tabia, David Picard — 2017
• Cascaded Pyramid Network for Multi-person Pose EstimationYilun Chen, Zhicheng Wang, Yuxiang Peng — 2017
• Optical Flow Guided Feature: A Fast and Robust Motion Representation for Video Action RecognitionShuyang Sun, Zhanghui Kuang, Wanli Ouyang — 2017
• Numerical Coordinate Regression with Convolutional Neural NetworksAiden Nibali, Zhen He, Stuart Morgan — 2018
• Pose Flow: Efficient Online Pose TrackingYuliang Xiu, Jiefeng Li, Haoyu Wang — 2018
• 2D/3D Pose Estimation and Action Recognition Using Multitask Deep LearningDiogo Luvizon, David Picard, Hedi Tabia — 2018
• LCR-Net++: Multi-Person 2D and 3D Pose Detection in Natural ImagesGrégory Rogez, Philippe Weinzaepfel, Cordelia Schmid — 2018
• A Comprehensive Analysis of Deep RegressionStéphane Lathuilière, Pablo Mesejo, Xavier Alameda-Pineda — 2018
• Pose2Seg: Human Instance Segmentation Without DetectionRuilong Li, Xin Dong, Zixi Cai — 2018
• 3D Human Pose Estimation in the Wild by Adversarial LearningWei Yang, Wanli Ouyang, Xiaolong Wang — 2018
• DGPose: Disentangled Semi-supervised Deep Generative Models for Human Body AnalysisRodrigo de, Arnab Ghosh, Thalaiyasingam Ajanthan — 2018
• Simple Baselines for Human Pose Estimation and TrackingBin Xiao, Haiping Wu, Yichen Wei — 2018
• Mining Automatically Estimated Poses from Video Recordings of Top AthletesRainer Lienhart, Moritz Einfalt, Dan Zecha — 2018
• Jointly Optimize Data Augmentation and Network Training: Adversarial Data Augmentation in Human Pose EstimationXi Peng, Zhiqiang Tang, Fei Yang — 2018
• Ordinal Depth Supervision for 3D Human Pose EstimationGeorgios Pavlakos, Xiaowei Zhou, Kostas Daniilidis — 2018
• Learning to Refine Human Pose EstimationMihai Fieraru, Anna Khoreva, Leonid Pishchulin — 2018
• Human Pose Estimation with Parsing Induced LearnerXuecheng Nie, Jiashi Feng, Yiming Zuo — 2018
• Bi-directional Graph Structure Information Model for Multi-Person Pose EstimationJing Wang, Ze Peng, Pei Lv — 2018

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