Saxena

Results: 216



#Item
31On Power Splitting Games in Distributed Computation: The Case of Bitcoin Pooled Mining Loi Luu∗ , Ratul Saha∗ , Inian Parameshwaran∗ , Prateek Saxena∗ , Aquinas Hobor†,∗ ∗ School of Computing, † Yale-NUS

On Power Splitting Games in Distributed Computation: The Case of Bitcoin Pooled Mining Loi Luu∗ , Ratul Saha∗ , Inian Parameshwaran∗ , Prateek Saxena∗ , Aquinas Hobor†,∗ ∗ School of Computing, † Yale-NUS

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Source URL: www.comp.nus.edu.sg

- Date: 2015-05-28 00:51:58
    32Infinite Latent Conditional Random Fields for Modeling Environments through Humans Yun Jiang and Ashutosh Saxena. Department of Computer Science, Cornell University, USA. {yunjiang,asaxena}@cs.cornell.edu Abstract—Huma

    Infinite Latent Conditional Random Fields for Modeling Environments through Humans Yun Jiang and Ashutosh Saxena. Department of Computer Science, Cornell University, USA. {yunjiang,asaxena}@cs.cornell.edu Abstract—Huma

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    Source URL: www.cs.cornell.edu

    - Date: 2013-06-03 16:50:50
      33Tangled: Learning to Untangle Ropes with RGB-D Perception Wen Hao Lui and Ashutosh Saxena. Department of Computer Science, Cornell University, Ithaca, USA. Email: , Abstract— In

      Tangled: Learning to Untangle Ropes with RGB-D Perception Wen Hao Lui and Ashutosh Saxena. Department of Computer Science, Cornell University, Ithaca, USA. Email: , Abstract— In

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      Source URL: pr.cs.cornell.edu

      - Date: 2013-07-31 23:58:43
        34Efficient Grasping from RGBD Images: Learning using a new Rectangle Representation Yun Jiang, Stephen Moseson, and Ashutosh Saxena Abstract— Given an image and an aligned depth map of an object, our goal is to estimate

        Efficient Grasping from RGBD Images: Learning using a new Rectangle Representation Yun Jiang, Stephen Moseson, and Ashutosh Saxena Abstract— Given an image and an aligned depth map of an object, our goal is to estimate

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        Source URL: pr.cs.cornell.edu

        - Date: 2011-06-22 18:43:14
          35Robotic Grasping of Novel Objects Ashutosh Saxena, Justin Driemeyer, Justin Kearns, Andrew Y. Ng Computer Science Department Stanford University, Stanford, CA 94305 {asaxena,jdriemeyer,jkearns,ang}@cs.stanford.edu

          Robotic Grasping of Novel Objects Ashutosh Saxena, Justin Driemeyer, Justin Kearns, Andrew Y. Ng Computer Science Department Stanford University, Stanford, CA 94305 {asaxena,jdriemeyer,jkearns,ang}@cs.stanford.edu

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          Source URL: pr.cs.cornell.edu

          - Date: 2011-06-22 18:43:17
            36A Model Counter For Constraints Over Unbounded Strings Loi Luu, Shweta Shinde, Prateek Saxena Brian Demsky School of Computing, National University of Singapore

            A Model Counter For Constraints Over Unbounded Strings Loi Luu, Shweta Shinde, Prateek Saxena Brian Demsky School of Computing, National University of Singapore

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            Source URL: www.comp.nus.edu.sg

            - Date: 2014-07-09 00:11:04
              37Reactive Grasping Using Optical Proximity Sensors Kaijen Hsiao, Paul Nangeroni, Manfred Huber, Ashutosh Saxena, Andrew Y Ng Abstract— We propose a system for improving grasping using fingertip optical proximity sensors

              Reactive Grasping Using Optical Proximity Sensors Kaijen Hsiao, Paul Nangeroni, Manfred Huber, Ashutosh Saxena, Andrew Y Ng Abstract— We propose a system for improving grasping using fingertip optical proximity sensors

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              Source URL: www.cs.cornell.edu

              - Date: 2009-08-05 13:51:56
                38Hallucinated Humans as the Hidden Context for Labeling 3D Scenes Yun Jiang, Hema Koppula and Ashutosh Saxena Department of Computer Science, Cornell University. {yunjiang,hema,asaxena}@cs.cornell.edu Abstract

                Hallucinated Humans as the Hidden Context for Labeling 3D Scenes Yun Jiang, Hema Koppula and Ashutosh Saxena Department of Computer Science, Cornell University. {yunjiang,hema,asaxena}@cs.cornell.edu Abstract

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                Source URL: www.cs.cornell.edu

                - Date: 2013-05-15 17:44:06
                  39Anticipating Human Activities using Object Affordances for Reactive Robotic Response Hema S. Koppula and Ashutosh Saxena. Department of Computer Science, Cornell University. {hema,asaxena}@cs.cornell.edu Abstract—An im

                  Anticipating Human Activities using Object Affordances for Reactive Robotic Response Hema S. Koppula and Ashutosh Saxena. Department of Computer Science, Cornell University. {hema,asaxena}@cs.cornell.edu Abstract—An im

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                  Source URL: www.cs.cornell.edu

                  - Date: 2013-08-02 00:03:57
                    40Modeling 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: www.cs.cornell.edu

                    - Date: 2014-06-17 04:30:35