Part-based models

Results: 51



#Item
111  Object Detection with Discriminatively Trained Part Based Models Pedro F. Felzenszwalb, Ross B. Girshick, David McAllester and Deva Ramanan Abstract—We describe an object detection system based on mixtures of multis

1 Object Detection with Discriminatively Trained Part Based Models Pedro F. Felzenszwalb, Ross B. Girshick, David McAllester and Deva Ramanan Abstract—We describe an object detection system based on mixtures of multis

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Source URL: cs.brown.edu

Language: English - Date: 2015-04-07 21:33:34
    12BAMED - Balloons over the Mediterranean sea An experimental campaign part of the HYMEX program Launching forecasts for BLPB based on Météo-France AROME and AROME WEST-MED models

    BAMED - Balloons over the Mediterranean sea An experimental campaign part of the HYMEX program Launching forecasts for BLPB based on Météo-France AROME and AROME WEST-MED models

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    Source URL: www.lmd.polytechnique.fr

    Language: English - Date: 2012-09-28 04:35:19
      13Detection Bank: An Object Detection Based Video Representation for Multimedia Event Recognition Tim Althoff UC Berkeley EECS/ICSI

      Detection Bank: An Object Detection Based Video Representation for Multimedia Event Recognition Tim Althoff UC Berkeley EECS/ICSI

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      Source URL: timalthoff.de

      Language: English - Date: 2012-11-20 09:30:54
      14Multi-configurations for part-based person detectors Alvaro Garcia-Martin1 , Rub´en Heras Evangelio2 , Thomas Sikora2 Video Processing and Understanding Lab at Universidad Autonoma de Madrid1 , Communication Systems Gro

      Multi-configurations for part-based person detectors Alvaro Garcia-Martin1 , Rub´en Heras Evangelio2 , Thomas Sikora2 Video Processing and Understanding Lab at Universidad Autonoma de Madrid1 , Communication Systems Gro

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      Source URL: filebox.ece.vt.edu

      Language: English - Date: 2014-08-13 17:19:09
      15Detect What You Can: Detecting and Representing Objects using Holistic Models and Body Parts Xianjie Chen1 , Roozbeh Mottaghi2 , Xiaobai Liu1 , Sanja Fidler3 , Raquel Urtasun3 , Alan Yuille1 1 University of California, L

      Detect What You Can: Detecting and Representing Objects using Holistic Models and Body Parts Xianjie Chen1 , Roozbeh Mottaghi2 , Xiaobai Liu1 , Sanja Fidler3 , Raquel Urtasun3 , Alan Yuille1 1 University of California, L

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      Source URL: www.cs.toronto.edu

      Language: English
      16Detecting avocados to zucchinis: what have we done, and where are we going? Olga Russakovsky1 , Jia Deng1 , Zhiheng Huang1 , Alexander C. Berg2 , Li Fei-Fei1 Stanford University1 , UNC Chapel Hill2 Abstract

      Detecting avocados to zucchinis: what have we done, and where are we going? Olga Russakovsky1 , Jia Deng1 , Zhiheng Huang1 , Alexander C. Berg2 , Li Fei-Fei1 Stanford University1 , UNC Chapel Hill2 Abstract

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      Source URL: web.eecs.umich.edu

      Language: English - Date: 2013-10-08 13:17:10
      17Cross Language POS Taggers (and other Tools) for Indian Languages: An Experiment with Kannada using Telugu Resources Siva Reddy Lexical Computing Ltd, UK

      Cross Language POS Taggers (and other Tools) for Indian Languages: An Experiment with Kannada using Telugu Resources Siva Reddy Lexical Computing Ltd, UK

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      Source URL: www.aclweb.org

      Language: English - Date: 2011-10-07 22:38:44
      18Problems with template matching • The template represents the object as we expect to find it in the image • The object can indeed be scaled or rotated • This technique requires a separate template for each scale an

      Problems with template matching • The template represents the object as we expect to find it in the image • The object can indeed be scaled or rotated • This technique requires a separate template for each scale an

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      Source URL: www.lira.dist.unige.it

      Language: English - Date: 2011-11-16 11:15:08
      19Spatial Priors for Part-Based Recognition using Statistical Models David Crandall1 Cornell University   Pedro Felzenszwalb

      Spatial Priors for Part-Based Recognition using Statistical Models David Crandall1 Cornell University Pedro Felzenszwalb

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      Source URL: www.cs.cornell.edu

      Language: English - Date: 2007-05-22 23:30:59
      20Department of Electrical and Computer Systems Engineering Technical Report MECSE

      Department of Electrical and Computer Systems Engineering Technical Report MECSE

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      Source URL: www.ecse.monash.edu.au

      Language: English - Date: 2006-11-13 23:11:33