Bernt

Results: 117



#Item
1Towards Reverse-Engineering Black-Box Neural Networks Seong Joon Oh Max Augustin  Bernt Schiele

Towards Reverse-Engineering Black-Box Neural Networks Seong Joon Oh Max Augustin Bernt Schiele

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Source URL: vision.soic.indiana.edu

Language: English - Date: 2018-02-23 06:31:16
    2Progress in Computer Vision in the Last Decade: Object Recognition, People Detection and Human Pose Estimation Bernt Schiele Max Planck Institute Informatics, Germany  Abstract

    Progress in Computer Vision in the Last Decade: Object Recognition, People Detection and Human Pose Estimation Bernt Schiele Max Planck Institute Informatics, Germany Abstract

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    Source URL: iplab.dmi.unict.it

    - Date: 2017-03-17 10:54:29
      3Loss Functions for Top-k Error: Analysis and Insights Maksim Lapin,1 Matthias Hein2 and Bernt Schiele1 1 Max Planck Institute for Informatics, Saarbrücken, Germany 2 Saarland University, Saarbrücken, Germany

      Loss Functions for Top-k Error: Analysis and Insights Maksim Lapin,1 Matthias Hein2 and Bernt Schiele1 1 Max Planck Institute for Informatics, Saarbrücken, Germany 2 Saarland University, Saarbrücken, Germany

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      Source URL: resources.mpi-inf.mpg.de

      - Date: 2016-08-17 07:37:16
        4Multi-Cue Zero-Shot Learning with Strong Supervision Zeynep Akata, Mateusz Malinowski, Mario Fritz and Bernt Schiele Max-Planck Institute for Informatics Abstract

        Multi-Cue Zero-Shot Learning with Strong Supervision Zeynep Akata, Mateusz Malinowski, Mario Fritz and Bernt Schiele Max-Planck Institute for Informatics Abstract

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        Source URL: resources.mpi-inf.mpg.de

        - Date: 2016-09-22 16:28:21
          5Sundheds- og Omsorgsforvaltningen Center for Sundhed Att.: Mikkel Bernt og Melissa Holmes SundholmsvejKøbenhavn S

          Sundheds- og Omsorgsforvaltningen Center for Sundhed Att.: Mikkel Bernt og Melissa Holmes SundholmsvejKøbenhavn S

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          Source URL: www.avlu.dk

          - Date: 2016-01-05 07:15:47
            6Surface Reconstruction by Voronoi Filtering Nina Am&a* Marshall Bernt  points, but also of Voronoi vertices. The crust comes with

            Surface Reconstruction by Voronoi Filtering Nina Am&a* Marshall Bernt points, but also of Voronoi vertices. The crust comes with

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            Source URL: www.cs.jhu.edu

            - Date: 2005-09-08 11:45:46
              7Evaluation of Output Embeddings for Fine-Grained Image Classification Zeynep Akata∗ , Scott Reed† , Daniel Walter† , Honglak Lee† and Bernt Schiele∗ ∗ arXiv:1409.8403v2 [cs.CV] 28 Aug 2015

              Evaluation of Output Embeddings for Fine-Grained Image Classification Zeynep Akata∗ , Scott Reed† , Daniel Walter† , Honglak Lee† and Bernt Schiele∗ ∗ arXiv:1409.8403v2 [cs.CV] 28 Aug 2015

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              Source URL: arxiv.org

              - Date: 2015-08-30 20:48:16
                81  CET Installationshinweise =========================  Copyright (C) 1995, 1996, 1997 Bernt Karasch. All rights reserved.

                1 CET Installationshinweise ========================= Copyright (C) 1995, 1996, 1997 Bernt Karasch. All rights reserved.

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                Source URL: karas.ch

                - Date: 2004-07-01 12:49:30
                  91  CET Installation Notes ======================  Copyright (C) 1995, 1996, 1997 Bernt Karasch. All rights reserved.

                  1 CET Installation Notes ====================== Copyright (C) 1995, 1996, 1997 Bernt Karasch. All rights reserved.

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                  Source URL: karas.ch

                  - Date: 2004-07-01 12:49:28
                    10What is Holding Back Convnets for Detection? Bojan Pepik, Rodrigo Benenson, Tobias Ritschel, Bernt Schiele arXiv:1508.02844v2 [cs.CV] 18 AugMax-Planck Institute for Informatics

                    What is Holding Back Convnets for Detection? Bojan Pepik, Rodrigo Benenson, Tobias Ritschel, Bernt Schiele arXiv:1508.02844v2 [cs.CV] 18 AugMax-Planck Institute for Informatics

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                    Source URL: arxiv.org

                    - Date: 2015-08-18 21:09:59