Saxena

Results: 216



#Item
21PEEP: Passively Eavesdropping Private Input via Brainwave Signals 1 1 Ajaya Neupane, 2 Md Lutfor Rahman ? , 1 Nitesh Saxena

PEEP: Passively Eavesdropping Private Input via Brainwave Signals 1 1 Ajaya Neupane, 2 Md Lutfor Rahman ? , 1 Nitesh Saxena

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Source URL: fc17.ifca.ai

- Date: 2017-04-05 01:53:13
    22Human Activity Detection from RGBD Images Jaeyong Sung and Colin Ponce and Bart Selman and Ashutosh Saxena Department of Computer Science Cornell University, Ithaca, NY 14850 , {cponce,selman,asaxena}@cs

    Human Activity Detection from RGBD Images Jaeyong Sung and Colin Ponce and Bart Selman and Ashutosh Saxena Department of Computer Science Cornell University, Ithaca, NY 14850 , {cponce,selman,asaxena}@cs

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    Source URL: pr.cs.cornell.edu

    - Date: 2011-07-11 11:01:41
      23Learning Trajectory Preferences for Manipulators via Iterative Improvement Ashesh Jain Thorsten Joachims Ashutosh Saxena Department of Computer Science, Cornell University

      Learning Trajectory Preferences for Manipulators via Iterative Improvement Ashesh Jain Thorsten Joachims Ashutosh Saxena Department of Computer Science, Cornell University

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      Source URL: pr.cs.cornell.edu

      - Date: 2013-08-25 18:49:40
        24PlanIt: A Crowdsourcing Approach for Learning to Plan Paths from Large Scale Preference Feedback Ashesh Jain, Debarghya Das, Jayesh K. Gupta and Ashutosh Saxena Abstract— We consider the problem of learning user prefer

        PlanIt: A Crowdsourcing Approach for Learning to Plan Paths from Large Scale Preference Feedback Ashesh Jain, Debarghya Das, Jayesh K. Gupta and Ashutosh Saxena Abstract— We consider the problem of learning user prefer

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        Source URL: pr.cs.cornell.edu

        - Date: 2015-08-30 15:04:30
          25A Vision-based System for Grasping Novel Objects in Cluttered Environments Ashutosh Saxena, Lawson Wong, Morgan Quigley, Andrew Y. Ng Computer Science Department, Stanford University, Stanford, CA 94305, USA. {asaxena,ls

          A Vision-based System for Grasping Novel Objects in Cluttered Environments Ashutosh Saxena, Lawson Wong, Morgan Quigley, Andrew Y. Ng Computer Science Department, Stanford University, Stanford, CA 94305, USA. {asaxena,ls

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          Source URL: ai.stanford.edu

          - Date: 2007-12-18 11:48:23
            26Deep Learning for Detecting Robotic Grasps Ian Lenz,† Honglak Lee,∗ and Ashutosh Saxena† Department of Computer Science, Cornell University. ∗ Department of EECS, University of Michigan, Ann Arbor. Email: ianlenz

            Deep Learning for Detecting Robotic Grasps Ian Lenz,† Honglak Lee,∗ and Ashutosh Saxena† Department of Computer Science, Cornell University. ∗ Department of EECS, University of Michigan, Ann Arbor. Email: ianlenz

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            Source URL: pr.cs.cornell.edu

            - Date: 2013-08-02 13:26:29
              27Modeling High-Dimensional Humans for Activity Anticipation using Gaussian Process Latent CRFs Yun Jiang and Ashutosh Saxena Department of Computer Science, Cornell University, USA. Email:{yunjiang,asaxena}@cs.cornell.edu

              Modeling High-Dimensional Humans for Activity Anticipation using Gaussian Process Latent CRFs Yun Jiang and Ashutosh Saxena Department of Computer Science, Cornell University, USA. Email:{yunjiang,asaxena}@cs.cornell.edu

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              Source URL: pr.cs.cornell.edu

              - Date: 2014-07-09 12:46:11
                28Hierarchical Semantic Labeling for Task-Relevant RGB-D Perception Chenxia Wu, Ian Lenz and Ashutosh Saxena Department of Computer Science, Cornell University, USA. Email: {chenxiawu,ianlenz,asaxena}@cs.cornell.edu Abstra

                Hierarchical Semantic Labeling for Task-Relevant RGB-D Perception Chenxia Wu, Ian Lenz and Ashutosh Saxena Department of Computer Science, Cornell University, USA. Email: {chenxiawu,ianlenz,asaxena}@cs.cornell.edu Abstra

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                Source URL: www.cs.cornell.edu

                - Date: 2014-06-03 21:19:43
                  29Learning Spatio-Temporal Structure from RGB-D Videos for Human Activity Detection and Anticipation Hema S. Koppula Ashutosh Saxena Computer Science Department, Cornell University, Ithaca, NYUSA

                  Learning Spatio-Temporal Structure from RGB-D Videos for Human Activity Detection and Anticipation Hema S. Koppula Ashutosh Saxena Computer Science Department, Cornell University, Ithaca, NYUSA

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                  Source URL: pr.cs.cornell.edu

                  - Date: 2013-05-08 18:49:09
                    30Finding The Greedy, Prodigal, and Suicidal Contracts at Scale Ivica Nikoli´c School of Computing, NUS Singapore Prateek Saxena School of Computing, NUS

                    Finding The Greedy, Prodigal, and Suicidal Contracts at Scale Ivica Nikoli´c School of Computing, NUS Singapore Prateek Saxena School of Computing, NUS

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                    Source URL: ilyasergey.net

                    - Date: 2018-03-26 18:04:21