Követés
Ashutosh Saxena
Ashutosh Saxena
Former Faculty, Computer Science, Cornell University. Stanford University
E-mail megerősítve itt: cs.stanford.edu - Kezdőlap
Cím
Hivatkozott rá
Hivatkozott rá
Év
Make3d: Learning 3d scene structure from a single still image
A Saxena, M Sun, AY Ng
Pattern Analysis and Machine Intelligence (PAMI), IEEE Transactions on 31 (5 …, 2009
2407*2009
Learning depth from single monocular images
A Saxena, SH Chung, A Ng
Neural Information Processing Systems (NIPS) 18, 1161, 2005
2158*2005
Deep Learning for Detecting Robotic Grasps
I Lenz, H Lee, A Saxena
Robotics: Science and Systems (RSS), 2013
20152013
Structural-RNN: Deep learning on spatio-temporal graphs
A Jain, AR Zamir, S Savarese, A Saxena
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016
14242016
Robotic grasping of novel objects using vision
A Saxena, J Driemeyer, AY Ng
The International Journal of Robotics Research (IJRR) 27 (2), 157, 2008
12212008
Unstructured Human Activity Detection from RGBD Images
J Sung, C Ponce, B Selman, A Saxena
International Conference on Robotics and Automation (ICRA), 2012
1092*2012
Anticipating human activities using object affordances for reactive robotic response
HS Koppula, A Saxena
Robotics: Science and Systems (RSS), 2013
1019*2013
Learning Human Activities and Object Affordances from RGB-D Videos
HS Koppula, R Gupta, A Saxena
International Journal of Robotics Research (IJRR), 2012
9152012
Efficient grasping from rgbd images: Learning using a new rectangle representation
Y Jiang, S Moseson, A Saxena
2011 IEEE International conference on robotics and automation, 3304-3311, 2011
8042011
High speed obstacle avoidance using monocular vision and reinforcement learning
J Michels, A Saxena, AY Ng
Proceedings of the 22nd international conference on Machine learning (ICML …, 2005
6122005
Semantic Labeling of 3D Point Clouds for Indoor Scenes
HS Koppula, A Anand, T Joachims, A Saxena
Neural Information Processing Systems (NIPS), 2011
4712011
Deepmpc: Learning deep latent features for model predictive control
I Lenz, R Knepper, A Saxena
Robotics Science and Systems (RSS), 2015
4432015
Tell me Dave: Context-sensitive grounding of natural language to manipulation instructions
DK Misra, J Sung, K Lee, A Saxena
The International Journal of Robotics Research 35 (1-3), 281-300, 2016
3642016
Tell me Dave: Context-sensitive grounding of natural language to manipulation instructions
DK Misra, J Sung, K Lee, A Saxena
Proceedings of Robotics: Science and Systems (RSS), Berkeley, USA, 2014
3642014
Depth Estimation Using Monocular and Stereo Cues.
A Saxena, J Schulte, AY Ng
IJCAI 7, 2197-2203, 2007
3562007
Recurrent neural networks for driver activity anticipation via sensory-fusion architecture
A Jain, A Singh, HS Koppula, S Soh, A Saxena
2016 IEEE International Conference on Robotics and Automation (ICRA), 3118-3125, 2016
3532016
Car that knows before you do: Anticipating maneuvers via learning temporal driving models
A Jain, HS Koppula, B Raghavan, S Soh, A Saxena
Proceedings of the IEEE International Conference on Computer Vision, 3182-3190, 2015
3412015
Car that knows before you do: Anticipating maneuvers via learning temporal driving models
A Jain, HS Koppula, B Raghavan, S Soh, A Saxena
Proceedings of the IEEE International Conference on Computer Vision, 3182-3190, 2015
3412015
Learning Transferrable Representations for Unsupervised Domain Adaptation
O Sener, HO Song, A Saxena, S Savarese
Advances In Neural Information Processing Systems, 2110-2118, 2016
3402016
Autonomous MAV flight in indoor environments using single image perspective cues
C Bills, J Chen, A Saxena
2011 IEEE International Conference on Robotics and Automation, 5776-5783, 2011
3072011
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