Ashutosh Saxena

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	All	Since 2016
Citations	14785	9399
h-index	48	40
i10-index	87	73

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Co-authors

Andrew NgStanford UniversityVerified email at cs.stanford.edu
Hema Swetha KoppulaResearch Scientist, SkydioVerified email at cs.cornell.edu
Ashesh JainDirector of Engineering, Lyft Level-5 Self-Driving ProgramVerified email at cs.cornell.edu
Yun JiangCornell UniversityVerified email at cs.cornell.edu
Jaeyong SungStanford UniversityVerified email at cs.stanford.edu
Silvio SavareseAssociate Professor of Computer Science at Stanford UniversityVerified email at stanford.edu
Ian LenzCornell UniversityVerified email at cs.cornell.edu
Min SunChief AI Scientist at Appier Inc. and Associate Professor at National Tsing Hua University, EE deptVerified email at ee.nthu.edu.tw
Ozan SenerIntel LabsVerified email at cs.stanford.edu
Bart SelmanProfessor of Computer Science, Cornell UniversityVerified email at cs.cornell.edu
Thorsten JoachimsProfessor of Computer Science, Cornell UniversityVerified email at cs.cornell.edu
Chenxia WuGoogle, Cornell UniversityVerified email at google.com
Tsuhan ChenNational University of SingaporeVerified email at nus.edu.sg
Amir R. ZamirStanford, UC BerkeleyVerified email at stanford.edu
Dipendra MisraMicrosoft Research New YorkVerified email at microsoft.com
Honglak LeeLG AI Research / U. MichiganVerified email at umich.edu
Congcong LiWaymoVerified email at waymo.com
Jiemi ZhangZhejiang UniversityVerified email at zju.edu.cn
Zhaoyin JiaCornell UniversityVerified email at cornell.edu
Lawson L.S. WongAssistant Professor, CCIS, Northeastern UniversityVerified email at ccs.neu.edu

Ashutosh Saxena

CEO, Caspar.AI; Former Faculty, Computer Science, Cornell University. Stanford University

Verified email at cs.cornell.edu - Homepage

Machine Learning Artificial Intelligence Robotics Computer Vision


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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	1619*	2009
Learning depth from single monocular images A Saxena, SH Chung, A Ng Neural Information Processing Systems (NIPS) 18, 1161, 2005	1597*	2005
Deep Learning for Detecting Robotic Grasps I Lenz, H Lee, A Saxena Robotics: Science and Systems (RSS), 2013	1058	2013
Robotic grasping of novel objects using vision A Saxena, J Driemeyer, AY Ng The International Journal of Robotics Research (IJRR) 27 (2), 157, 2008	932	2008
Unstructured Human Activity Detection from RGBD Images J Sung, C Ponce, B Selman, A Saxena International Conference on Robotics and Automation (ICRA), 2012	872*	2012
Learning Human Activities and Object Affordances from RGB-D Videos HS Koppula, R Gupta, A Saxena International Journal of Robotics Research (IJRR), 2012	638	2012
Anticipating human activities using object affordances for reactive robotic response HS Koppula, A Saxena Robotics: Science and Systems (RSS), 2013	599	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	590	2016
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	473	2005
Semantic Labeling of 3D Point Clouds for Indoor Scenes HS Koppula, A Anand, T Joachims, A Saxena Neural Information Processing Systems (NIPS), 2011	412	2011
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	315	2011
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	266	2011
Depth Estimation Using Monocular and Stereo Cues. A Saxena, J Schulte, AY Ng IJCAI 7, 2197-2203, 2007	237	2007
Deepmpc: Learning deep latent features for model predictive control I Lenz, R Knepper, A Saxena Robotics Science and Systems (RSS), 2015	235	2015
Contextually Guided Semantic Labeling and Search for Three-Dimensional Point Clouds A Anand, HS Koppula, T Joachims, A Saxena The International Journal of Robotics Research, 2012	230	2012
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	227	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	227	2014
Learning Spatio-Temporal Structure from RGB-D Videos for Human Activity Detection and Anticipation HS Koppula, A Saxena International Conference on Machine Learning (ICML), 2013	207	2013
Cascaded classification models: Combining models for holistic scene understanding G Heitz, S Gould, A Saxena, D Koller Neural Information Processing Systems (NIPS), 641-648, 2008	203	2008
Learning Transferrable Representations for Unsupervised Domain Adaptation O Sener, HO Song, A Saxena, S Savarese Advances In Neural Information Processing Systems, 2110-2118, 2016	190	2016

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