Human pose estimation - PowerPoint PPT Presentation

GoogLeNet

GoogLeNet. Wei Liu, UNC. Christian Szegedy, Google. Yangqing Jia, Google. Dragomir Anguelov, Google. Scott Reed, University of Michigan. Pierre Sermanet, Google. Andrew Rabinovich, Google. Dumitru Erhan, Google. Vincent Vanhoucke, Google.

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3.98k views • 72 slides

Date: 2013/05/27 Instructor : Prof. Wang , Sheng- Jyh Student: Hung, Fei -Fan

Recognizing Human-Object Interaction in still Image by Modeling the Mutual Context of Objects and Human Poses. Date: 2013/05/27 Instructor : Prof. Wang , Sheng- Jyh Student: Hung, Fei -Fan. Yao, B., and Fei-fei , L. IEEE Transactions on PAMI (2012 ). Outline. Introduction

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545 views • 39 slides

An Efficient Branch-and-Bound Algorithm for Optimal Human Pose Estimation

An Efficient Branch-and-Bound Algorithm for Optimal Human Pose Estimation. OUTLINE. Introduction The Human Pose Estimation MRF Branch and bound Experiments Conclusion. Introduction. Introduction. Simple representations(like tree or star models) can be efficiently applied

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532 views • 28 slides

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