Vision

Results: 44076



#Item
881Elsevier Journal of Computer Vision and Image Understanding (CVIU) Special issue on Multi-camera and Multi-modal Sensor Fusion Call for papers Advances in sensing technologies as well as the increasing availability of co

Elsevier Journal of Computer Vision and Image Understanding (CVIU) Special issue on Multi-camera and Multi-modal Sensor Fusion Call for papers Advances in sensing technologies as well as the increasing availability of co

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Source URL: www.eecs.qmul.ac.uk

- Date: 2008-06-09 10:43:20
    882Secure remote matching with privacy: Scrambled Support Vector Vaulted Verification (S 2 V 3 ) Michael J. Wilber and Terrance E. Boult Vision and Security Technology Lab, UCCS Colorado Springs, CO, 80918, USA {mwilber,tbo

    Secure remote matching with privacy: Scrambled Support Vector Vaulted Verification (S 2 V 3 ) Michael J. Wilber and Terrance E. Boult Vision and Security Technology Lab, UCCS Colorado Springs, CO, 80918, USA {mwilber,tbo

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    Source URL: mjwilber.org

    - Date: 2015-09-25 13:01:34
      883Inverse Volume Rendering with Material Dictionaries Ioannis Gkioulekas Harvard University Shuang Zhao Cornell University

      Inverse Volume Rendering with Material Dictionaries Ioannis Gkioulekas Harvard University Shuang Zhao Cornell University

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      Source URL: vision.seas.harvard.edu

      - Date: 2013-10-28 13:05:19
        884Etherisc decentralized insurance VISION The multi-trillion dollar insurance industry is dominated by huge corporations, weighed down by heavy regulation and plagued by misalignments of company and consumer incentives. Th

        Etherisc decentralized insurance VISION The multi-trillion dollar insurance industry is dominated by huge corporations, weighed down by heavy regulation and plagued by misalignments of company and consumer incentives. Th

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        Source URL: etherisc.com

        - Date: 2018-03-30 11:40:24
          885Practical Non-parametric Density Estimation on a Transformation Group for Vision Erik G. Miller Christophe Chefd’hotel∗

          Practical Non-parametric Density Estimation on a Transformation Group for Vision Erik G. Miller Christophe Chefd’hotel∗

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          Source URL: people.cs.umass.edu

          - Date: 2004-11-05 16:36:53
            886NATIONAL STRATEGY FOR COMBATING ANTIBIOTICRESISTANT BACTERIA Vision: The United States will work domestically and internationally to prevent, detect, and control illness and death related to infections caused by antibiot

            NATIONAL STRATEGY FOR COMBATING ANTIBIOTICRESISTANT BACTERIA Vision: The United States will work domestically and internationally to prevent, detect, and control illness and death related to infections caused by antibiot

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            Source URL: www.cdc.gov

            - Date: 2017-05-03 12:35:06
              887COMPANY PROFILE In our vision software can think AISLOGIC warrants that it will not collect data, either anonymously or for statistical purposes, regarding the configuration and use of the software

              COMPANY PROFILE In our vision software can think AISLOGIC warrants that it will not collect data, either anonymously or for statistical purposes, regarding the configuration and use of the software

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              Source URL: www.aislogic.com

              - Date: 2018-02-17 03:35:59
                888Smart Kitchen: A Multi-Modal AR System Andrew Mendez Cornell Tech

                Smart Kitchen: A Multi-Modal AR System Andrew Mendez Cornell Tech

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                Source URL: vision.cornell.edu

                - Date: 2017-12-18 16:47:24
                  889Appears in Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPRWhat do color changes reveal about an outdoor scene? Kalyan Sunkavalli1 Fabiano Romeiro1

                  Appears in Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPRWhat do color changes reveal about an outdoor scene? Kalyan Sunkavalli1 Fabiano Romeiro1

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                  Source URL: www.eecs.harvard.edu

                  - Date: 2016-08-18 02:21:38
                    890Learning to Describe E-Commerce Images from Noisy Online Data Takuya Yashima, Naoaki Okazaki, Kentaro Inui, Kota Yamaguchi, and Takayuki Okatani Tohoku University, Sendai, Japan

                    Learning to Describe E-Commerce Images from Noisy Online Data Takuya Yashima, Naoaki Okazaki, Kentaro Inui, Kota Yamaguchi, and Takayuki Okatani Tohoku University, Sendai, Japan

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                    Source URL: vision.is.tohoku.ac.jp

                    - Date: 2016-09-13 05:46:47