Conference on Computer Vision and Pattern Recognition

Results: 209



#Item
111Information science / Search algorithms / Artificial intelligence / Information retrieval / Data mining / Discrete geometry / Nearest neighbor search / Numerical analysis / Nearest neighbor / Image segmentation / Conference on Computer Vision and Pattern Recognition / K-nearest neighbors algorithm

Yannis Kalantidis National Technical University of Athens Email: PhD thesis: Nearest Neighbor Search and Clustering for Large scale Visual Search Estimated graduation date: November 2014

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Source URL: image.ntua.gr

Language: English - Date: 2014-06-15 04:09:25
112

Based on the paper in Proceedings of the IEEE Computer Society Workshop on Embedded Computer Vision, Conference on Computer Vision and Pattern Recognition, (New York, NY), JuneThe Tyzx DeepSea G2 Vision System, A

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Source URL: www.woodfill.com

Language: English - Date: 2014-12-10 01:38:36
    113Formal sciences / Artificial intelligence / Science and technology / Vision / Image processing / Computational neuroscience / Machine learning / Feature detection / Histogram of oriented gradients / Outline of object recognition / Conference on Computer Vision and Pattern Recognition / Computer vision

    Recognizing Actions from Still Images Nazli Ikizler, R. Gokberk Cinbis, Selen Pehlivan and Pinar Duygulu Bilkent University, Dept of Computer Engineering, 06800, Ankara, Turkey {inazli, cinbis, pselen, duygulu}@bilkent.e

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    Source URL: web.cs.hacettepe.edu.tr

    Language: English - Date: 2009-01-22 10:36:20
    114

    General Instructions for Tutorials/Short Courses Proposals Tutorials/Short courses proposals are invited for the 2011 Intl. Conference on Computer Vision and Pattern Recognition (CVPR). Important Dates Submission deadlin

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    Source URL: www.ic.unicamp.br

    Language: English - Date: 2010-11-17 11:05:12
      115Artificial intelligence / Optical flow / Conference on Computer Vision and Pattern Recognition / Pedestrian detection / Activity recognition / Video tracking

      Learning an image-based motion context for multiple people tracking Laura Leal-Taix´e1,2 , Michele Fenzi2 , Alina Kuznetsova2 , Bodo Rosenhahn2 , and Silvio Savarese3 1 2

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      Source URL: www.tnt.uni-hannover.de

      Language: English
      116Feature detection / Computer vision / Artificial intelligence / Vision / Computational neuroscience / Convolutional neural network / Deep learning / Outline of object recognition / Maximally stable extremal regions / Visual descriptor / GLOH / Conference on Computer Vision and Pattern Recognition

      Local Convolutional Features with Unsupervised Training for Image Retrieval Mattis Paulin 1 Julien Mairal1 1 Inria ∗

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      Source URL: www.cv-foundation.org

      Language: English - Date: 2015-10-24 14:55:25
      117IEEE conferences / Science and technology / Science in society / Activity recognition / Cognition / Cluster analysis / Conference on Computer Vision and Pattern Recognition / Image segmentation / International Conference on Computer Vision / Electrical engineering

      Action Recognition by Hierarchical Mid-level Action Elements Tian Lan⇤ , Yuke Zhu⇤, Amir Roshan Zamir and Silvio Savarese Stanford University Abstract Realistic videos of human actions exhibit rich spatiotemporal str

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      Source URL: cvgl.stanford.edu

      Language: English
      118Machine learning / Image segmentation / ImageNet / Conference on Computer Vision and Pattern Recognition / Automatic image annotation / Minimum bounding box / Pattern recognition / Object detection / Computer vision

      Best of both worlds: human-machine collaboration for object annotation Olga Russakovsky1 Li-Jia Li2 Li Fei-Fei1 1 Stanford University 2 Snapchat∗ Abstract

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      Source URL: ai.stanford.edu

      Language: English - Date: 2015-04-12 19:52:49
      119Science and technology / Mathematics / Conference on Computer Vision and Pattern Recognition / Academia / Sparse approximation / Attribute / Machine learning / Outline of object recognition / Compressed sensing

      Human Action Recognition by Learning Bases of Action Attributes and Parts Bangpeng Yao1 , Xiaoye Jiang2 , Aditya Khosla1 , Andy Lai Lin3 , Leonidas Guibas1 , and Li Fei-Fei1 1 2

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      Source URL: geometry.stanford.edu

      Language: English - Date: 2011-09-28 17:56:07
      120IEEE conferences / Image segmentation / Image processing / Conference on Computer Vision and Pattern Recognition / GrabCut / ImageNet / Computer vision / International Conference on Computer Vision / British Machine Vision Conference / Outline of object recognition / Minimum bounding box

      Fine-Grained Recognition without Part Annotations Jonathan Krause1 Hailin Jin2 1 Stanford University

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      Source URL: vision.stanford.edu

      Language: English - Date: 2015-07-12 18:35:39
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