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 | 2292* | 2009 |
Learning depth from single monocular images A Saxena, SH Chung, A Ng Neural Information Processing Systems (NIPS) 18, 1161, 2005 | 2082* | 2005 |
Deep Learning for Detecting Robotic Grasps I Lenz, H Lee, A Saxena Robotics: Science and Systems (RSS), 2013 | 1851 | 2013 |
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 | 1316 | 2016 |
Robotic grasping of novel objects using vision A Saxena, J Driemeyer, AY Ng The International Journal of Robotics Research (IJRR) 27 (2), 157, 2008 | 1181 | 2008 |
Unstructured Human Activity Detection from RGBD Images J Sung, C Ponce, B Selman, A Saxena International Conference on Robotics and Automation (ICRA), 2012 | 1064* | 2012 |
Anticipating human activities using object affordances for reactive robotic response HS Koppula, A Saxena Robotics: Science and Systems (RSS), 2013 | 953* | 2013 |
Learning Human Activities and Object Affordances from RGB-D Videos HS Koppula, R Gupta, A Saxena International Journal of Robotics Research (IJRR), 2012 | 869 | 2012 |
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 | 701 | 2011 |
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 | 595 | 2005 |
Semantic Labeling of 3D Point Clouds for Indoor Scenes HS Koppula, A Anand, T Joachims, A Saxena Neural Information Processing Systems (NIPS), 2011 | 462 | 2011 |
Deepmpc: Learning deep latent features for model predictive control I Lenz, R Knepper, A Saxena Robotics Science and Systems (RSS), 2015 | 410 | 2015 |
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 | 347 | 2016 |
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 | 347 | 2014 |
Depth Estimation Using Monocular and Stereo Cues. A Saxena, J Schulte, AY Ng IJCAI 7, 2197-2203, 2007 | 341 | 2007 |
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 | 329 | 2016 |
Learning Transferrable Representations for Unsupervised Domain Adaptation O Sener, HO Song, A Saxena, S Savarese Advances In Neural Information Processing Systems, 2110-2118, 2016 | 329 | 2016 |
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 | 312 | 2015 |
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 | 312 | 2015 |
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 | 302 | 2011 |