PPT-PANDA: Pose Aligned Networks for Deep Attribute Modeling

Author : ellena-manuel | Published Date : 2017-03-20

Ning Zhang 12 Manohar Paluri 1 Marć Aurelio Ranzato 1 Trevor Darrell 2 Lumbomir Boudev 1 1 Facebook AI Research 2 EECS UC Berkeley

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PANDA: Pose Aligned Networks for Deep Attribute Modeling: Transcript


Ning Zhang 12 Manohar Paluri 1 Marć Aurelio Ranzato 1 Trevor Darrell 2 Lumbomir Boudev 1 1 Facebook AI Research 2 EECS UC Berkeley. (status report). Solène. . Lejosne. , Forrest . Mozer. and Oleksiy . Agapitov. . SSL, University of California, Berkeley . solene@ssl.berkeley.edu. Special thanks to the HOPE team. SWG Meeting, 29-31 July 2015, APL. By: . Hawa. . Hafejee. Habitat. The Giant Panda lives in broadleaf and mixed forests in Southern China.. Where it’s located. The Giant Panda is located in the continent of Asia. The Giant Panda is located in Southwest China. Yu Chen, Tae-. K. yun. Kim, Roberto . Cipolla. Department of Engineering. University of Cambridge. Roadmap. Brief Introductions. Our Framework. Experimental Results. Summary. Motivation. +. 3D Shapes. IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER . GRAPHICS, . DECEMBER 2012. Authors:. . Christian . Tominski. Heidrun. Schumann. Gennady . Andrienko. Natalia . Andrienko. BY:. Farah . Kamw. Introduction. Leonid . Pishchulin. . . Arjun. Jain. . Mykhaylo. . Andriluka. Thorsten . Thorm¨ahlen. . Bernt. . Schiele. Max . Planck Institute for Informatics, . Saarbr¨ucken. , Germany. Introduction. Generation of novel training . Used by Kinect. Accurate when the pose closely matches a stored pose. Inaccurate when novel poses are made. Can often produce shaky movement due to pose snapping. 3d Pose Tracking. Calculate poses based on previous poses and current data. Bangpeng Yao and Li Fei-Fei. Computer Science Department, Stanford University. {bangpeng,feifeili}@cs.stanford.edu. 1. Robots interact with objects. Automatic sports commentary. “Kobe is dunking the ball.”. Ashish. Myles. †. Nico. . Pietroni. * . Denis Kovacs. †. . Denis . Zorin. †. . †. . New York University. * . ISTI, Italian National Research Council. Motivation. Problem 1: . Convert. arbitrary meshes to . Pelvic Tilt. 3. Bridge Pose. 4. Rocking. 5. Little Boat Twist. 6. Cat. 7. Swan. 8. Table Balancing Pose. 9. Thread the Needle. 10. Cobra. 11 . Corpse. Rocking. Swan. 1. 2. 3. 4. 5. 6. 7. 8. 9. 0. 1. Chair. Bangpeng Yao and Li Fei-Fei. Computer Science Department, Stanford University. {bangpeng,feifeili}@cs.stanford.edu. 1. Robots interact with objects. Automatic sports commentary. “Kobe is dunking the ball.”. Ashish. Myles. †. Nico. . Pietroni. * . Denis Kovacs. †. . Denis . Zorin. †. . †. . New York University. * . ISTI, Italian National Research Council. Motivation. Problem 1: . Convert. arbitrary meshes to . NEARC Spring 2013. Brian Hebert, Solutions Architect. www.scribekey.com. . www.scribekey.com . 1. Abstract and Goal. Classic relational database and object-oriented . modeling diagrams, tools, and techniques . a prototype for Super c-tau factory. 5/27/2018. E.Pyata, BINP, Super c-tau factory workshop. 2. The accelerator facility FAIR and GSI. 5/27/2018. E.Pyata, BINP, Super c-tau factory workshop. 3. The main milestones of production of the PANDA solenoid magnet. Maxim . Potekhin. (presenting for BNL Physics Applications Group). Brookhaven National Laboratory. OSG All Hands Meeting. March 2-5, 2009. LIGO Livingston Observatory. 2. Panda . Intro. The Panda (. P.

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