Efficient object localization using Convolutional Networks

Keywords

Pooling, Computer science, Artificial intelligence, Pose, Convolutional neural network

References

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• Learning Human Pose Estimation Features with Convolutional NetworksArjun Jain, Jonathan Tompson, Mykhaylo Andriluka — 2013
• Improving neural networks by preventing co-adaptation of feature detectorsGeoffrey E. Hinton, Nitish Srivastava, Alex Krizhevsky — 2012
• Articulated Pose Estimation Using Discriminative Armlet ClassifiersGeorgia Gkioxari, Pablo Arbeláez, Lubomir Bourdev — 2013
• Articulated pose estimation with flexible mixtures-of-partsYi Yang, Deva Ramanan — 2011
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• 2D Human Pose Estimation: New Benchmark and State of the Art AnalysisMykhaylo Andriluka, Leonid Pishchulin, Peter Gehler — 2014
• Poselet Conditioned Pictorial StructuresLeonid Pishchulin, Mykhaylo Andriluka, Peter Gehler — 2013
• Learning effective human pose estimation from inaccurate annotationP. Sam Johnson, Mark Everingham — 2011
• Gradient-based learning applied to document recognitionYann LeCun, Léon Bottou, Yoshua Bengio — 1998
• DeepPose: Human Pose Estimation via Deep Neural NetworksAlexander Toshev, Christian Szegedy — 2013
• A discriminatively trained, multiscale, deformable part modelPedro F. Felzenszwalb, David McAllester, Deva Ramanan — 2008
• MODEC: Multimodal Decomposable Models for Human Pose EstimationBen Sapp, Ben Taskar — 2013
• Pictorial structures revisited: People detection and articulated pose estimationMykhaylo Andriluka, Stefan Roth, Bernt Schiele — 2009
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• Joint Training of a Convolutional Network and a Graphical Model for Human Pose EstimationJonathan Tompson, Arjun Jain, Yann LeCun — 2014
• Human Pose Estimation Using Body Parts Dependent Joint RegressorsMatthias Dantone, Jüergen Gall, Christian Leistner — 2013
• Strong Appearance and Expressive Spatial Models for Human Pose EstimationLeonid Pishchulin, Mykhaylo Andriluka, Peter Gehler — 2013
• Signature Verification Using A "Siamese" Time Delay Neural NetworkJane Bromley, JAMES W. BENTZ, Léon Bottou — 1993
• Poselets: Body part detectors trained using 3D human pose annotationsLubomir Bourdev, Jitendra Malik — 2009

Cited by

• Local Restricted Convolutional Neural Network for Change Detection in Polarimetric SAR ImagesPeter Passell — 2019
• Employing automatic content recognition for teaching methodology analysis in classroom videosMonique Dorizon — 2022
• Human Pose EstimationLeonid Sigal — 2014
• Dense Semantic Correspondence Where Every Pixel is a ClassifierHilton Bristow, Jack Valmadre, Simon Lucey — 2015
• Flowing ConvNets for Human Pose Estimation in VideosTomas Pfister, James Charles, Andrew Zisserman — 2015
• Unconstrained Facial Landmark Localization with Backbone-Branches Fully-Convolutional NetworksZhujin Liang, Shengyong Ding, Liang Lin — 2015
• Human Pose Estimation with Iterative Error FeedbackJoão Carreira, Pulkit Agrawal, Katerina Fragkiadaki — 2015
• Object detection in surveillance video from dense trajectoriesMengyao Zhai, Lei Chen, Jinling Li — 2015
• Mixture of parts revisited: Expressive part interactions for Pose EstimationAnoop R Katti, Anurag Mittal — 2014
• Advancing human pose and gesture recognitionTomas Pfister — 2015
• Learning Compact Convolutional Neural Networks with Nested DropoutChelsea Finn, Lisa Anne Hendricks, Trevor Darrell — 2014
• Channel-Level Acceleration of Deep Face RepresentationsAdam Polyak, Lior Wolf — 2015
• DeepCut: Joint Subset Partition and Labeling for Multi Person Pose EstimationLeonid Pishchulin, Eldar Insafutdinov, Siyu Tang — 2015
• Deep learning for visual understanding: A reviewYanming Guo, Yu Liu, Ard Oerlemans — 2016
• Recombinator Networks: Learning Coarse-to-Fine Feature AggregationSina Honari, Jason Yosinski, Pascal Vincent — 2015
• Training CNNs with Low-Rank Filters for Efficient Image ClassificationYani Ioannou, Duncan Robertson, Jamie Shotton — 2015
• Computational Analysis of Behavior.S.E. Roian Egnor, Kristin Branson — 2016
• Convolutional Pose MachinesWei, Shih-En, Ramakrishna, Varun, Kanade, Takeo — 2016
• Marker-less motion capture in general scenes with sparse multi-camera setupsAhmed Elhayek — 2015
• 3D Pictorial Structures on RGB-D Data for Articulated Human Detection in Operating RoomsAbdolrahim Kadkhodamohammadi, Afshin Gangi, Michel de Mathelin — 2016

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