Ashutosh Saxena, Ph.D.

Affiliations: 
2009 Stanford University, Palo Alto, CA 
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"Ashutosh Saxena"

Parents

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Andrew Y. Ng grad student Stanford (Neurotree)
Andrew Ng grad student 2009 Stanford
 (Monocular depth perception and robotic grasping of novel objects.)

Children

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Ozan Sener grad student 2012-2016
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Publications

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Wu C, Zhang J, Sener O, et al. (2017) Watch-n-Patch: Unsupervised Learning of Actions and Relations. Ieee Transactions On Pattern Analysis and Machine Intelligence
Koppula HS, Saxena A. (2016) Anticipating Human Activities Using Object Affordances for Reactive Robotic Response. Ieee Transactions On Pattern Analysis and Machine Intelligence. 38: 14-29
Misra DK, Sung J, Lee K, et al. (2016) Tell me Dave: Context-sensitive grounding of natural language to manipulation instructions International Journal of Robotics Research. 35: 281-300
Jain A, Singh A, Koppula HS, et al. (2016) Recurrent Neural Networks for driver activity anticipation via sensory-fusion architecture Proceedings - Ieee International Conference On Robotics and Automation. 2016: 3118-3125
Wu C, Zhang J, Selman B, et al. (2016) Watch-Bot: Unsupervised learning for reminding humans of forgotten actions Proceedings - Ieee International Conference On Robotics and Automation. 2016: 2479-2486
Jain A, Sharma S, Saxena A. (2016) Beyond geometric path planning: Learning context-driven trajectory preferences via sub-optimal feedback Springer Tracts in Advanced Robotics. 114: 319-338
Jiang Y, Koppula H, Saxena A. (2015) Modeling 3D Environments through Hidden Human Context. Ieee Transactions On Pattern Analysis and Machine Intelligence
Zhaoyin Jia, Gallagher AC, Saxena A, et al. (2015) 3D Reasoning from Blocks to Stability. Ieee Transactions On Pattern Analysis and Machine Intelligence. 37: 905-18
Jain A, Sharma S, Joachims T, et al. (2015) Learning preferences for manipulation tasks from online coactive feedback International Journal of Robotics Research. 34: 1296-1313
Lenz I, Lee H, Saxena A. (2015) Deep learning for detecting robotic grasps The International Journal of Robotics Research. 34: 705-724
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