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Python all any built-in function
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Computer Vision
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- https://filebox.ece.vt.edu/~jbhuang
- Vision course: University of Auckland
- MuJoCo simulator
- https://www.omnigroup.com/omnigraffle
- most-influential-psychologists-world
- https://robotbenchmark.net/
- Animesh Garg, Stanford
- RSS'17 Semantic Representation workshop
- Robotic Art: workshop IROS'17
- Kovesi Toolbox
- Kevin Murphy Toolbox
- iccv-2017-fashion-visual-workshop
- ICCV-deepgeometry2017
- https://www.lucidchart.com
- http://www.cytoscape.org
- Data Driven Documents
- reveal.js
- Cat paper collection (GVMH)
- Simulator Zoo
- http://bulletphysics.org
- Johns Hopkins University Future Teaching Program
- https://robotart.org/
- http://www.inference.vc
- ros-robotics-projects book
- lecunn short tutorial for deep learning
GMU important sites
- Kernel Density Estimation KDE (code from UCI)
- https://voyage.auto/
- http://www.abedavis.com
- http://icra2015.org/
- CVPR 2014
- travel.gmu.edu
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- Conference list robotics
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- gradfellows
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- Nima Kalantari
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- http://petewarden.com/2015/11/09/five-deep-links-2/
- Who is best at X: dataset and algorithm
- Alireza Fathi
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- Yuri Boykov
- http://machinamenta.blogspot.com/
- Perception research UC Berkeley
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- www.robotics-vo.us
- Jianxiong Xiao
- Alexander Schwing: Structured Learning expert
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- Phillip Torr: Oxford Brookes University Vision Group
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- Learning-Based Methods in Vision: Alyosha Efros
- http://www.johndcook.com/blog/
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- SIGGRAPH-ASIA 12
- Workshop on environment perception and navigation for intelligent robots 2013
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- Pathology Informatics Conference 2011
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- Visual Analysis of animal and Insect Behavior 2010
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- fetchrobotics
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- daqri
- http://www.essess.com/
- Robotics Unlimited
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- https://www.sighthound.com
- https://paracosm.io
- magic-leap
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