Object

Results: 18808



#Item
281

Geodesic Object Proposals Philipp Kr¨ ahenb¨ uhl1 and Vladlen Koltun2 1

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Source URL: www.philkr.net

- Date: 2017-10-06 12:46:13
    282

    Volumetric and Multi-View CNNs for Object Classification on 3D Data Charles R. Qi*, Hao Su*, Matthias Nießner, Angela Dai, MengyuanYan, Leonidas J. Guibas

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    Source URL: ai.stanford.edu

    - Date: 2016-09-19 20:57:31
      283

      Object Recognition as Ranking Holistic Figure-Ground Hypotheses Fuxin Li∗ and Joao Carreira∗ and Cristian Sminchisescu Computer Vision and Machine Learning Group, Institute for Numerical Simulation, Faculty of Mathem

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      Source URL: www.maths.lth.se

      - Date: 2013-02-05 06:53:54
        284

        Deep Supervision with Shape Concepts for Occlusion-Aware 3D Object Parsing Chi Li1 , M. Zeeshan Zia2 , Quoc-Huy Tran2 , Xiang Yu2 , Gregory D. Hager1 and Manmohan Chandraker2,3 1 Johns Hopkins University

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        Source URL: www.nec-labs.com

        - Date: 2017-04-18 11:22:41
          285

          VdS Schadenverhütung confirms the apptication of an object specific security management system for

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          Source URL: www.noris.de

          - Date: 2018-03-28 03:06:56
            286

            Confidence-Rated Multiple Instance Boosting for Object Detection Karim Ali1,2 and Kate Saenko2 1 2 University of California Berkeley, Berkeley, CA, USA

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            Source URL: www.karimali.org

            - Date: 2014-05-15 23:42:36
              287

              Using Cloud Services and Object Storage Bacula Communit Version This document describes how to extend your local Bacula infrastructure with cloud storage capacities. Bacula is best suited to implement a cloud backup and

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              Source URL: blog.bacula.org

              - Date: 2017-05-13 10:51:47
                288

                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
                  289

                  A Category-Level 3-D Object Dataset: Putting the Kinect to Work Allison Janoch, Sergey Karayev, Yangqing Jia, Jonathan T. Barron, Mario Fritz, Kate Saenko, Trevor Darrell UC Berkeley and Max-Plank-Institute for Informati

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                  Source URL: alliejanoch.com

                  - Date: 2015-07-03 14:48:00
                    290

                    ShortCut: Architectural Support forFast Object Access in Scripting Languages

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                    Source URL: iacoma.cs.uiuc.edu

                    - Date: 2017-05-01 17:58:48
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