Saxena, Ashutosh
Cornell University
11 papers on CoChatORCID 0000-0002-6657-2285
Most cited papers
- Verified
Structural-RNN: Deep Learning on Spatio-Temporal Graphs
Jain, A., Zamir, A. R., Savarese, S., & Saxena, A. (2016) · 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
Advanced Graph Neural NetworksHuman Pose and Action Recognition
Cited by 1,133
- Verified
Anticipating Human Activities Using Object Affordances for Reactive Robotic Response
Koppula, H. S., & Saxena, A. (2016) · IEEE Transactions on Pattern Analysis and Machine Intelligence
Context-Aware Activity Recognition SystemsHuman Pose and Action Recognition
Cited by 596
- Verified
Car that Knows Before You Do: Anticipating Maneuvers via Learning Temporal Driving Models
Jain, A., Koppula, H. S., Raghavan, B., Soh, S., & Saxena, A. (2015) · 2015 IEEE International Conference on Computer Vision (ICCV)
Autonomous Vehicle Technology and SafetyHuman-Automation Interaction and Safety
Cited by 274
- Verified
Car that Knows Before You Do: Anticipating Maneuvers via Learning Temporal Driving Models
Jain, A., Koppula, H. S., Raghavan, B., Soh, S., & Saxena, A. (2015) · arXiv
Autonomous Vehicle Technology and SafetyHuman-Automation Interaction and Safety
Cited by 274
- Verified
Recurrent Neural Networks for driver activity anticipation via sensory-fusion architecture
Jain, A., Singh, A., Koppula, H. S., Soh, S., & Saxena, A. (2016) · 2016 IEEE International Conference on Robotics and Automation (ICRA)
Autonomous Vehicle Technology and SafetyHuman-Automation Interaction and Safety
Cited by 271
- Verified
Anticipating Human Activities using Object Affordances for Reactive Robotic Response
Koppula, H., & Saxena, A. (2013) · Robotics: Science and Systems IX
Context-Aware Activity Recognition SystemsHuman Pose and Action Recognition
Cited by 130
- Verified
Deep Learning for Detecting Robotic Grasps
Lenz, I., Lee, H., & Saxena, A. (2013) · Robotics: Science and Systems IX
Robot Manipulation and LearningAdvanced Neural Network Applications
Cited by 126
- Verified · note
Tangled: Learning to untangle ropes with RGB-D perception
Lui, W. H., & Saxena, A. (2013) · 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems
Robot Manipulation and LearningReinforcement Learning in Robotics
Cited by 71
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Tell Me Dave: Context-Sensitive Grounding of Natural Language to Manipulation Instructions
Kumar Misra, D., Sung, J., Lee, K., & Saxena, A. (2014) · Robotics: Science and Systems X
Robot Manipulation and LearningSpeech and dialogue systems
Cited by 59
- Verified · note
Robobarista: Object part-based transfer of manipulation trajectories from crowd-sourcing in 3d pointclouds
Sung, J., Jin, S. H., & Saxena, A. (2018) · Springer Proceedings in Advanced Robotics
Robot Manipulation and LearningReinforcement Learning in Robotics
Cited by 52
- Verified
Deep multimodal embedding: Manipulating novel objects with point-clouds, language and trajectories
Sung, J., Lenz, I., & Saxena, A. (2017) · 2017 IEEE International Conference on Robotics and Automation (ICRA)
Robot Manipulation and LearningMultimodal Machine Learning Applications
Cited by 26
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