Ashutosh Saxena

发表

DeepMPC: Learning Deep Latent Features for Model Predictive Control

Ross A. Knepper, Ashutosh Saxena, Ian Lenz, 2015, Robotics: Science and Systems.

Efficient grasping from RGBD images: Learning using a new rectangle representation

Ashutosh Saxena, Yun Jiang, Stephen Moseson, 2011, 2011 IEEE International Conference on Robotics and Automation.

Cascaded Classification Models: Combining Models for Holistic Scene Understanding

Ashutosh Saxena, Stephen Gould, Daphne Koller, 2008, NIPS.

Make3D: Learning 3D Scene Structure from a Single Still Image

Ashutosh Saxena, Min Sun, Andrew Y. Ng, 2009, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Deep learning for detecting robotic grasps

Honglak Lee, Ashutosh Saxena, Ian Lenz, 2013, Int. J. Robotics Res..

Robotic Grasping of Novel Objects using Vision

Ashutosh Saxena, Andrew Y. Ng, Justin Driemeyer, 2008, Int. J. Robotics Res..

Robobarista: Object Part Based Transfer of Manipulation Trajectories from Crowd-Sourcing in 3D Pointclouds

Ashutosh Saxena, Jaeyong Sung, Seok Hyun Jin, 2015, ISRR.

Learning to Grasp Novel Objects Using Vision

Ashutosh Saxena, Andrew Y. Ng, Justin Driemeyer, 2006, ISER.

Learning Grasp Strategies with Partial Shape Information

Lawson L. S. Wong, Ashutosh Saxena, Andrew Y. Ng, 2008, AAAI.

Monocular depth perception and robotic grasping of novel objects

Ashutosh Saxena, Andrew Y. Ng, A. Ng, 2009 .

Anticipating Human Activities Using Object Affordances for Reactive Robotic Response

Hema Swetha Koppula, Ashutosh Saxena, Ashutosh Saxena, 2013, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Learning 3-D Scene Structure from a Single Still Image

Ashutosh Saxena, Min Sun, Andrew Y. Ng, 2007, 2007 IEEE 11th International Conference on Computer Vision.

Reactive grasping using optical proximity sensors

Ashutosh Saxena, Andrew Y. Ng, Manfred Huber, 2009, 2009 IEEE International Conference on Robotics and Automation.

High speed obstacle avoidance using monocular vision and reinforcement learning

Ashutosh Saxena, Andrew Y. Ng, Jeff Michels, 2005, ICML.

Watch-n-patch: Unsupervised understanding of actions and relations

Silvio Savarese, Ashutosh Saxena, Jiemi Zhang, 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Anticipating human activities for reactive robotic response

Hema Swetha Koppula, Ashutosh Saxena, Ashutosh Saxena, 2013, 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Robotic Grasping of Novel Objects

Ashutosh Saxena, Andrew Y. Ng, Justin Driemeyer, 2006, NIPS.

Learning Depth from Single Monocular Images

Ashutosh Saxena, Andrew Y. Ng, Sung H. Chung, 2005, NIPS.

Semantic Labeling of 3D Point Clouds for Indoor Scenes

Thorsten Joachims, Hema Swetha Koppula, Ashutosh Saxena, 2011, NIPS.

3-D Depth Reconstruction from a Single Still Image

Ashutosh Saxena, Andrew Y. Ng, Sung H. Chung, 2007, International Journal of Computer Vision.

Learning to place new objects in a scene

Yun Jiang, Ashutosh Saxena, Changxi Zheng, 2012, Int. J. Robotics Res..

Autonomous MAV flight in indoor environments using single image perspective cues

Ashutosh Saxena, Joyce Chen, Cooper Bills, 2011, 2011 IEEE International Conference on Robotics and Automation.

Learning to open new doors

Ashutosh Saxena, Andrew Y. Ng, Ellen Klingbeil, 2010, 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Learning 3-D object orientation from images

Ashutosh Saxena, Andrew Y. Ng, Justin Driemeyer, 2009, 2009 IEEE International Conference on Robotics and Automation.

Learning to represent haptic feedback for partially-observable tasks

John Kenneth Salisbury, Ashutosh Saxena, Jaeyong Sung, 2017, 2017 IEEE International Conference on Robotics and Automation (ICRA).

Co-evolutionary predictors for kinematic pose inference from RGBD images

Ashutosh Saxena, Hod Lipson, Daniel Le Ly, 2012, GECCO '12.

Pose Estimation from a Single Depth Image for Arbitrary Kinematic Skeletons pdf

Ashutosh Saxena, Hod Lipson, Daniel Le Ly, 2011, ArXiv.

Human Activity Detection from RGBD Images pdf

Bart Selman, Ashutosh Saxena, Colin Ponce, 2011, Plan, Activity, and Intent Recognition.

RoboBrain: Large-Scale Knowledge Engine for Robots pdf

Hema Swetha Koppula, Ashutosh Saxena, Ozan Sener, 2014, ArXiv.

Learning haptic representation for manipulating deformable food objects

Ashutosh Saxena, Mevlana Gemici, Mevlana Gemici, 2014, 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Anticipating Human Activities Using Object Affordances for Reactive Robotic Response

Hema Swetha Koppula, Ashutosh Saxena, Ashutosh Saxena, 2013, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Structural-RNN: Deep Learning on Spatio-Temporal Graphs

Silvio Savarese, Ashutosh Saxena, Amir Roshan Zamir, 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Tell me Dave: Context-sensitive grounding of natural language to manipulation instructions

Ashutosh Saxena, Jaeyong Sung, Dipendra Kumar Misra, 2014, Int. J. Robotics Res..

Unstructured human activity detection from RGBD images

Bart Selman, Ashutosh Saxena, Colin Ponce, 2011, 2012 IEEE International Conference on Robotics and Automation.

Hallucinated Humans as the Hidden Context for Labeling 3D Scenes

Yun Jiang, Hema Swetha Koppula, Ashutosh Saxena, 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.

Learning hardware agnostic grasps for a universal jamming gripper

Yun Jiang, Ashutosh Saxena, Hod Lipson, 2012, 2012 IEEE International Conference on Robotics and Automation.

Tell me Dave: Context-sensitive grounding of natural language to manipulation instructions

Kevin Lee, Ashutosh Saxena, Jaeyong Sung, 2014, Int. J. Robotics Res..

Anticipating the Future by Constructing Human Activities using Object Affordances

Ashutosh Saxena, H. Koppula, 2015 .

Depth Estimation Using Monocular and Stereo Cues

Ashutosh Saxena, Andrew Y. Ng, Jamie Schulte, 2007, IJCAI.

A Fast Data Collection and Augmentation Procedure for Object Recognition

Ashutosh Saxena, Benjamin Sapp, Andrew Y. Ng, 2008, AAAI.

PlanIt: A crowdsourcing approach for learning to plan paths from large scale preference feedback

Jayesh K. Gupta, Ashutosh Saxena, Ashesh Jain, 2014, 2015 IEEE International Conference on Robotics and Automation (ICRA).

A Vision-Based System for Grasping Novel Objects in Cluttered Environments

Lawson L. S. Wong, Ashutosh Saxena, Andrew Y. Ng, 2007, ISRR.

Learning sound location from a single microphone

Ashutosh Saxena, Andrew Y. Ng, A. Ng, 2009, 2009 IEEE International Conference on Robotics and Automation.

A Microprocessor based Speech Recognizer for Isolated Hindi Digits

Ashutosh Saxena, Abhishek Singh, 2003 .

3-D Reconstruction from Sparse Views using Monocular Vision

Ashutosh Saxena, Min Sun, Andrew Y. Ng, 2007, 2007 IEEE 11th International Conference on Computer Vision.

Rapid Interactive 3 D Reconstruction from a Single Still Image

A. Ng, Ashutosh Saxena, N. Senaratna, 2008 .

Make3D: Depth Perception from a Single Still Image

Ashutosh Saxena, Min Sun, Andrew Y. Ng, 2008, AAAI.

Active Perception : Interactive Manipulation for Improvin g Object Detection

Quoc V. Le, Ashutosh Saxena, Andrew Y. Ng, 2010 .

DeepMPC : Learning Latent Nonlinear Dynamics for Real-Time Predictive Control

Ross A. Knepper, I. Lenz, Ashutosh Saxena, 2015 .

MDPs with Unawareness , with An Application ∗

Joseph Y. Halpern, Ashutosh Saxena, Nan Rong, 2016 .

Detecting Lane Departures Using Weak Visual Features

Ashutosh Saxena, Shane Soh, 2014 .

STAIR: The STanford Artificial Intelligence Robot project

Ashutosh Saxena, Andrew Y. Ng, Morgan Quigley, 2008 .

Efficient Max-Margin Learning in Laplacian MRFs for Monocular Depth Estimation

Ashutosh Saxena, Dhruv Batra, 2011 .

Deep learning for detecting robotic grasps

Honglak Lee, Ashutosh Saxena, Ian Lenz, 2013, Int. J. Robotics Res..

Fiber optic sensing of liquid refractive index

Ashutosh Saxena, Sayak Mukherjee, Joseph John, 2007 .

Recent Developments in FRFT, DFRFT with their Applications in Signal and Image Processing

Ashutosh Kumar Singh and Rajiv Saxena, Ashutosh Saxena, 2011 .

Energy-efficient reporting scheme for cognitive radio networks

Ashutosh Saxena, Chilakala Sudhamani, Aswini Vunnava, 2021, IET Networks.

Embedded Multiresolution Signaling Scheme for CPFSK Modulation

Ashutosh Saxena, A. Chaturvedi, 2003 .

Multidimensional Membership Mixture Models

Ashutosh Saxena, Yun Jiang, Marcus Lim, 2012, ArXiv.

Make3D: Learning 3D Scene Structure from a Single Still Image

A. Ng, Ashutosh Saxena, Min Sun, 2022 .

Anticipatory Planning for Human-Robot Teams

Hema Swetha Koppula, Ashutosh Saxena, Ashesh Jain, 2014, ISER.

Unsupervised Transductive Domain Adaptation pdf

Silvio Savarese, Ashutosh Saxena, Ozan Sener, 2016, ArXiv.

Hallucinating Humans for Learning Robotic Placement of Objects

Yun Jiang, Ashutosh Saxena, Ashutosh Saxena, 2012, ISER.

Deep multimodal embedding: Manipulating novel objects with point-clouds, language and trajectories

Ashutosh Saxena, Ian Lenz, Jaeyong Sung, 2015, 2017 IEEE International Conference on Robotics and Automation (ICRA).

Tangled: Learning to untangle ropes with RGB-D perception

Ashutosh Saxena, Wen Hao Lui, Ashutosh Saxena, 2013, 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Non-linear Dimensionality Reduction by Locally Linear Isomaps

Amitabha Mukerjee, Abhinav Gupta, Ashutosh Saxena, 2004, ICONIP.

Learning human activities and object affordances from RGB-D videos

Hema Swetha Koppula, Rudhir Gupta, Ashutosh Saxena, 2012, Int. J. Robotics Res..

Bioinspired Modification of Polystyryl Matrix: Single-step Chemical Evolution to a Moderately Conducting Polymer

Ashutosh Saxena, S. Verma, S. Srivatsan, 2004 .

A Generic Model to Compose Vision Modules for Holistic Scene Understanding

Tsuhan Chen, Congcong Li, Ashutosh Saxena, 2010, ECCV Workshops.

Learning Object Arrangements in 3D Scenes using Human Context

Yun Jiang, Ashutosh Saxena, Marcus Lim, 2012, ICML.

Recurrent Neural Networks for driver activity anticipation via sensory-fusion architecture

Hema Swetha Koppula, Ashutosh Saxena, Avi Singh, 2015, 2016 IEEE International Conference on Robotics and Automation (ICRA).

Learning Transferrable Representations for Unsupervised Domain Adaptation

Silvio Savarese, Ashutosh Saxena, Ozan Sener, 2016, NIPS.

Brain4Cars: Car That Knows Before You Do via Sensory-Fusion Deep Learning Architecture pdf

Hema Swetha Koppula, Ashutosh Saxena, Avi Singh, 2016, ArXiv.

Physically Grounded Spatio-temporal Object Affordances

Hema Swetha Koppula, Ashutosh Saxena, Ashutosh Saxena, 2014, ECCV.

Contextually Guided Semantic Labeling and Search for 3D Point Clouds pdf

Thorsten Joachims, Hema Swetha Koppula, Ashutosh Saxena, 2011, ArXiv.

Unsupervised Semantic Parsing of Video Collections

Silvio Savarese, Ashutosh Saxena, Amir Roshan Zamir, 2015, 2015 IEEE International Conference on Computer Vision (ICCV).

Learning Spatio-Temporal Structure from RGB-D Videos for Human Activity Detection and Anticipation

Hema Swetha Koppula, Ashutosh Saxena, Ashutosh Saxena, 2013, ICML.

Car that Knows Before You Do: Anticipating Maneuvers via Learning Temporal Driving Models

Hema Swetha Koppula, Ashutosh Saxena, Ashesh Jain, 2015, 2015 IEEE International Conference on Computer Vision (ICCV).

Learning preferences for manipulation tasks from online coactive feedback

Thorsten Joachims, Ashutosh Saxena, Shikhar Sharma, 2015, Int. J. Robotics Res..

Toward Holistic Scene Understanding: Feedback Enabled Cascaded Classification Models

Tsuhan Chen, Congcong Li, Ashutosh Saxena, 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Contextually guided semantic labeling and search for three-dimensional point clouds

Thorsten Joachims, Hema Swetha Koppula, Ashutosh Saxena, 2013, Int. J. Robotics Res..

Hierarchical Semantic Labeling for Task-Relevant RGB-D Perception

Ashutosh Saxena, Ian Lenz, Chenxia Wu, 2014, Robotics: Science and Systems.

3D-Based Reasoning with Blocks, Support, and Stability

Tsuhan Chen, Ashutosh Saxena, Andrew C. Gallagher, 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.

Learning Trajectory Preferences for Manipulators via Iterative Improvement

Thorsten Joachims, Ashutosh Saxena, Ashesh Jain, 2013, NIPS.

Robotic Object Detection: Learning to Improve the Classifiers Using Sparse Graphs for Path Planning

Tsuhan Chen, Ashutosh Saxena, Zhaoyin Jia, 2011, IJCAI.

Environment-Driven Lexicon Induction for High-Level Instructions

Ashutosh Saxena, Percy Liang, Dipendra Kumar Misra, 2015, ACL.

Know Before You Do: Anticipating Maneuvers via Learning Temporal Driving Models pdf

Hema Swetha Koppula, Ashutosh Saxena, Ashesh Jain, 2015, ArXiv.

Beyond Geometric Path Planning: Learning Context-Driven Trajectory Preferences via Sub-optimal Feedback

Ashutosh Saxena, Shikhar Sharma, Ashesh Jain, 2016, ISRR.

Hierarchical classification of e-commerce related social media pdf

Ashutosh Saxena, Matthew Long, Aditya Jami, 2015, ArXiv.

Watch-n-Patch: Unsupervised Learning of Actions and Relations

Silvio Savarese, Bart Selman, Ashutosh Saxena, 2016, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Watch-Bot: Unsupervised learning for reminding humans of forgotten actions

Silvio Savarese, Bart Selman, Ashutosh Saxena, 2015, 2016 IEEE International Conference on Robotics and Automation (ICRA).

MDPs with Unawareness in Robotics pdf

Nan Rong, Joseph Y. Halpern, Ashutosh Saxena, 2016, UAI.

Learning to place new objects

Yun Jiang, Ashutosh Saxena, Changxi Zheng, 2011, 2012 IEEE International Conference on Robotics and Automation.

i23 - Rapid Interactive 3D Reconstruction from a Single Image

Sebastian Thrun, Ashutosh Saxena, Christian Theobalt, 2009, VMV.

Robobarista: Learning to Manipulate Novel Objects via Deep Multimodal Embedding pdf

Ashutosh Saxena, Ian Lenz, Jaeyong Sung, 2016, ArXiv.

Synthesizing manipulation sequences for under-specified tasks using unrolled Markov Random Fields

Bart Selman, Ashutosh Saxena, Jaeyong Sung, 2013, 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Learning Sequences of Controllers for Complex Manipulation Tasks pdf

Bart Selman, Ashutosh Saxena, Jaeyong Sung, 2013, ArXiv.

Absorption/amplification-induced self-tapering and uptapering of a laser beam in a saturable nonlinear medium: large nonlinearity

Rajkamal, Ashutosh Saxena, M. Sodha, 1994 .

Modeling 3D Environments through Hidden Human Context

Yun Jiang, Hema Swetha Koppula, Ashutosh Saxena, 2016, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Infinite Latent Conditional Random Fields for Modeling Environments through Humans

Yun Jiang, Ashutosh Saxena, Ashutosh Saxena, 2013, Robotics: Science and Systems.

Human Activity Learning using Object Affordances from RGB-D Videos pdf

Hema Swetha Koppula, Rudhir Gupta, Ashutosh Saxena, 2012, ArXiv.

Environment-Driven Lexicon Induction for High-Level Instructions

Percy Liang, Ashutosh Saxena, Dipendra Misra, 2015, ACL.