Object detection

Results: 550



#Item
31Exploiting 3D Semantic Scene Priors for Online Traffic Light Interpretation Dan Barnes, Will Maddern and Ingmar Posner Abstract— In this paper we present a probabilistic framework for increasing online object detection

Exploiting 3D Semantic Scene Priors for Online Traffic Light Interpretation Dan Barnes, Will Maddern and Ingmar Posner Abstract— In this paper we present a probabilistic framework for increasing online object detection

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Source URL: www.robots.ox.ac.uk

- Date: 2015-11-26 12:48:58
    32Real-Time Object Detection, Localization and Verification for Fast Robotic Depalletizing

    Real-Time Object Detection, Localization and Verification for Fast Robotic Depalletizing

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    Source URL: ais.uni-bonn.de

    - Date: 2015-08-03 16:32:04
      33Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks Shaoqing Ren∗ Kaiming He Ross Girshick

      Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks Shaoqing Ren∗ Kaiming He Ross Girshick

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      Source URL: papers.nips.cc

      - Date: 2016-02-16 15:47:49
        343D Object Proposals for Accurate Object Class Detection Xiaozhi Chen∗,1 Kaustav Kundu ∗,2

        3D Object Proposals for Accurate Object Class Detection Xiaozhi Chen∗,1 Kaustav Kundu ∗,2

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        Source URL: www.cs.toronto.edu

        - Date: 2015-12-03 09:56:18
          35Rich feature hierarchies for accurate object detection and semantic segmentation Ross Girshick1 Jeff Donahue1,2 Trevor Darrell1,2 1 UC Berkeley and 2 ICSI

          Rich feature hierarchies for accurate object detection and semantic segmentation Ross Girshick1 Jeff Donahue1,2 Trevor Darrell1,2 1 UC Berkeley and 2 ICSI

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          Source URL: www.cv-foundation.org

          - Date: 2014-05-18 15:55:03
            36SALIENT OBJECT DETECTION IN IMAGE SEQUENCES VIA SPATIAL-TEMPORAL CUE Chuang Gan1,2 , Zengchang Qin2 , Jia Xu1 , Tao Wan2,3 1 Institute for Interdisciplinary Information Sciences, Tsinghua University, Beijing, China Intel

            SALIENT OBJECT DETECTION IN IMAGE SEQUENCES VIA SPATIAL-TEMPORAL CUE Chuang Gan1,2 , Zengchang Qin2 , Jia Xu1 , Tao Wan2,3 1 Institute for Interdisciplinary Information Sciences, Tsinghua University, Beijing, China Intel

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            Source URL: www.iiis.tsinghua.edu.cn

            - Date: 2013-11-26 10:47:48
              37Multiple Component Learning for Object Detection Piotr Doll´ ar1,2 Boris Babenko2 Serge Belongie1,2 Pietro Perona1 Zhuowen Tu3 1

              Multiple Component Learning for Object Detection Piotr Doll´ ar1,2 Boris Babenko2 Serge Belongie1,2 Pietro Perona1 Zhuowen Tu3 1

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              Source URL: pages.ucsd.edu

              - Date: 2008-07-25 13:38:15
                38Generative Object Detection and Tracking in 3D Range Data Ralf Kaestner, Jérôme Maye, Yves Pilat, and Roland Siegwart Autonomous Systems Lab, ETH Zurich, Switzerland email: {ralf.kaestner, jerome.maye, roland.siegwart}

                Generative Object Detection and Tracking in 3D Range Data Ralf Kaestner, Jérôme Maye, Yves Pilat, and Roland Siegwart Autonomous Systems Lab, ETH Zurich, Switzerland email: {ralf.kaestner, jerome.maye, roland.siegwart}

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                Source URL: europa.informatik.uni-freiburg.de

                - Date: 2012-02-24 10:56:01
                  39Object detection and tracking for autonomous navigation in dynamic environments Andreas Ess · Konrad Schindler · Bastian Leibe · Luc Van Gool Abstract We address the problem of vision-based navigation in busy inner-ci

                  Object detection and tracking for autonomous navigation in dynamic environments Andreas Ess · Konrad Schindler · Bastian Leibe · Luc Van Gool Abstract We address the problem of vision-based navigation in busy inner-ci

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                  Source URL: europa.informatik.uni-freiburg.de

                  - Date: 2012-01-25 13:19:40
                    40Efficient Use of Geometric Constraints for Sliding-Window Object Detection in Video Patrick Sudowe and Bastian Leibe UMIC Research Centre RWTH Aachen University, Germany

                    Efficient Use of Geometric Constraints for Sliding-Window Object Detection in Video Patrick Sudowe and Bastian Leibe UMIC Research Centre RWTH Aachen University, Germany

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                    Source URL: europa.informatik.uni-freiburg.de

                    - Date: 2012-01-25 14:30:52