Object recognition

Results: 1078



#Item
501Surveillance / Segmentation / Object recognition / Histogram of oriented gradients / Part-based models / Pedestrian detection / Object detection / Range segmentation / Longuet-Higgins Prize / Computer vision / Vision / Image processing

Practical 3-D Object Detection Using Category and Instance-level Appearance Models Kate Saenko, Sergey Karayev, Yangqing Jia, Alex Shyr, Allison Janoch, Jonathan Long, Mario Fritz, Trevor Darrell Abstract— Effective ro

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Source URL: sergeykarayev.com

Language: English - Date: 2015-01-07 04:16:21
502Imaging / Geometric hashing / Video copy detection / Triangle / Information retrieval / Feature / Object recognition / Recall / Encoding / Computer vision / Vision / Artificial intelligence

Technical Report[removed], University of Augsburg, Institute of Computer Science, March[removed]Published in Proceedings of “ACM International Conference on Multimedia Retrieval”, 2011. DOI : [removed][removed]Mul

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Source URL: www.multimedia-computing.de

Language: English - Date: 2013-08-21 09:20:02
503Market segmentation / Memory segmentation / Object recognition / Segment / Artificial intelligence / Range segmentation / Image processing / Computer vision / Segmentation

Object Recognition by Ranking Figure-Ground Hypotheses Joao Carreira, Fuxin Li, Cristian Sminchisescu Computer Vision and Machine Learning Group, INS, University of Bonn We focus on designing methods that can segment ima

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Source URL: www.eecs.berkeley.edu

Language: English - Date: 2014-06-04 23:25:03
504Convolution / Fourier analysis / Functional analysis / Object recognition / Pyramid / Artificial intelligence / Computer vision / Image processing / Mathematics

Deformable Part Models are Convolutional Neural Networks Tech report Ross Girshick Forrest Iandola Trevor Darrell UC Berkeley

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Source URL: arxiv.org

Language: English - Date: 2014-10-01 20:32:18
505Imaging / Histogram of oriented gradients / Kinect / Object recognition / Caltech 101 / Computer vision / Artificial intelligence / Vision

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: sergeykarayev.com

Language: English - Date: 2015-01-07 04:16:21
506Artificial intelligence / Imaging / Cartography / Geodesy / Machine learning / Template matching / Pattern recognition / Map projection / Object recognition / Computer vision / Image processing / Vision

PARAMETRIC CORRESPONDENCEAND CHAMFER MATCHING: TWO NEW TECHNIQUES FOR IMAGE MATCHING H.G. Barrow SRI

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Source URL: www.cs.berkeley.edu

Language: English - Date: 2004-02-15 17:59:34
507Vision / Optics / Scale-invariant feature transform / Scale space / Object recognition / Feature detection / Gaussian function / Corner detection / Scale invariance / Computer vision / Image processing / Imaging

Distinctive Image Features from Scale-Invariant Keypoints David G. Lowe Computer Science Department University of British Columbia Vancouver, B.C., Canada

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Source URL: www.cs.berkeley.edu

Language: English - Date: 2004-02-20 21:10:40
508Computer vision / Image processing / Segmentation / Object recognition / Constellation model / Visual cortex / Face detection / Symmetry / Object database / Vision / Artificial intelligence / Imaging

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, VOL. 29, NO. 3, MARCH 2007

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Source URL: cbcl.mit.edu

Language: English - Date: 2007-02-07 13:06:08
509Memory management / Market segmentation / Memory segmentation / Segment / Object recognition / Artificial intelligence / Image processing / Computer vision / Segmentation

Int J Comput Vis DOI[removed]s11263[removed]Object Recognition by Sequential Figure-Ground Ranking João Carreira · Fuxin Li · Cristian Sminchisescu

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Source URL: www.eecs.berkeley.edu

Language: English - Date: 2014-06-04 23:25:26
510Network architecture / Networks / Neural network / Geographic information system / Object recognition / Artificial intelligence / Science / Statistics / Caltech 101 / Computer vision / Computational neuroscience / Econometrics

PANDA: Pose Aligned Networks for Deep Attribute Modeling Ning Zhang1,2 , Manohar Paluri1 , Marc’Aurelio Ranzato1 , Trevor Darrell2 , Lubomir Bourdev1 1 2 Facebook AI Research EECS, UC Berkeley

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Source URL: www.cs.berkeley.edu

Language: English - Date: 2014-11-25 23:02:40
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