Suchergebnisse - "IEEE Conference on Computer Vision and Pattern Recognition"

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    Recurrent Knowledge Distillation von Pintea, Silvia L., Liu, Yue, van Gemert, Jan C.

    ISSN: 2381-8549
    Veröffentlicht: IEEE 01.10.2018
    “… Knowledge distillation compacts deep networks by letting a small student network learn from a large teacher network. The accuracy of knowledge distillation …”
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    Tagungsbericht
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    Special Editors' Introduction to the Special Issue on Award-Winning Papers from the IEEE Conference on Computer Vision and Pattern Recognition 2010 (CVPR 2010) von Darrell, Trevor, Hogg, David, Jacobs, David

    ISSN: 0162-8828, 2160-9292, 1939-3539
    Veröffentlicht: New York IEEE 01.09.2012
    “… The nine award-winning papers in this special section were presented at the IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2010 …”
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    Journal Article
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    Learning 3D Shape Completion Under Weak Supervision von Stutz, David, Geiger, Andreas

    ISSN: 0920-5691, 1573-1405
    Veröffentlicht: New York Springer US 01.05.2020
    Veröffentlicht in International journal of computer vision (01.05.2020)
    “… We address the problem of 3D shape completion from sparse and noisy point clouds, a fundamental problem in computer vision and robotics. Recent approaches are …”
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    Journal Article
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    Point rotation invariant features and attention fusion network for point cloud registration of 3D shapes von Liu, Zeyang, Lu, Zhiguo, Shan, Yancong

    ISSN: 2045-2322, 2045-2322
    Veröffentlicht: London Nature Publishing Group UK 29.04.2025
    Veröffentlicht in Scientific reports (29.04.2025)
    “… Point cloud registration of 3D shapes remains a formidable challenge in computer vision and autonomous driving. This paper introduces a novel learning-based …”
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    Journal Article
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    Deep Bingham Networks: Dealing with Uncertainty and Ambiguity in Pose Estimation von Deng, Haowen, Bui, Mai, Navab, Nassir, Guibas, Leonidas, Ilic, Slobodan, Birdal, Tolga

    ISSN: 0920-5691, 1573-1405
    Veröffentlicht: New York Springer US 01.07.2022
    Veröffentlicht in International journal of computer vision (01.07.2022)
    “… In this work, we introduce Deep Bingham Networks (DBN) , a generic framework that can naturally handle pose-related uncertainties and ambiguities arising in …”
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    Journal Article
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    Making the V in VQA Matter: Elevating the Role of Image Understanding in Visual Question Answering von Goyal, Yash, Khot, Tejas, Agrawal, Aishwarya, Summers-Stay, Douglas, Batra, Dhruv, Parikh, Devi

    ISSN: 0920-5691, 1573-1405
    Veröffentlicht: New York Springer US 01.04.2019
    Veröffentlicht in International journal of computer vision (01.04.2019)
    “… The problem of visual question answering (VQA) is of significant importance both as a challenging research question and for the rich set of applications it …”
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    Journal Article