Image segmentation

Results: 2050



#Item
512013 IEEE International Conference on Computer Vision  Cosegmentation and Cosketch by Unsupervised Learning Jifeng Dai1,2 , Ying Nian Wu2 , Jie Zhou1 , and Song-Chun Zhu2 1 Department of Automation, Tsinghua University,

2013 IEEE International Conference on Computer Vision Cosegmentation and Cosketch by Unsupervised Learning Jifeng Dai1,2 , Ying Nian Wu2 , Jie Zhou1 , and Song-Chun Zhu2 1 Department of Automation, Tsinghua University,

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Source URL: www.stat.ucla.edu

Language: English - Date: 2014-04-20 03:06:17
52Proc. Natl. Acad. Sci. USA Vol. 94, pp. 3477–3480, April 1997 Psychology Reciprocal interactions between occlusion and motion computations

Proc. Natl. Acad. Sci. USA Vol. 94, pp. 3477–3480, April 1997 Psychology Reciprocal interactions between occlusion and motion computations

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Source URL: www.psych.usyd.edu.au

Language: English - Date: 2003-11-13 20:33:14
53The Self-Aware Matching Measure for Stereo Philippos Mordohai Stevens Institute of Technology Hoboken, New Jersey, USA

The Self-Aware Matching Measure for Stereo Philippos Mordohai Stevens Institute of Technology Hoboken, New Jersey, USA

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Source URL: www.cs.stevens.edu

Language: English - Date: 2009-07-13 14:00:22
54Incorporating On-demand Stereo for Real Time Recognition T. Deselaers1,2 , A. Criminisi1 , J. Winn1 and A. Agarwal1 1 Microsoft Research Ltd., Cambridge, United Kingdom 2 Human Language Technology and Pattern Recognition

Incorporating On-demand Stereo for Real Time Recognition T. Deselaers1,2 , A. Criminisi1 , J. Winn1 and A. Agarwal1 1 Microsoft Research Ltd., Cambridge, United Kingdom 2 Human Language Technology and Pattern Recognition

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Source URL: thomas.deselaers.de

Language: English - Date: 2014-10-11 09:29:30
55Published at International Joint Conference on Neural Networks (IJCNN), 2015  Recurrent Convolutional Neural Networks for Object-Class Segmentation of RGB-D Video Mircea Serban Pavel, Hannes Schulz, and Sven Behnke Unive

Published at International Joint Conference on Neural Networks (IJCNN), 2015 Recurrent Convolutional Neural Networks for Object-Class Segmentation of RGB-D Video Mircea Serban Pavel, Hannes Schulz, and Sven Behnke Unive

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Source URL: www.ais.uni-bonn.de

Language: English - Date: 2015-08-14 09:34:45
56DICOM Correction Proposal STATUS Letter Ballot  Date of Last Update

DICOM Correction Proposal STATUS Letter Ballot Date of Last Update

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Source URL: dicom.nema.org

Language: English - Date: 2016-05-30 09:28:00
57IMPROVED MODELING OF AUDIO SIGNALS BY MODIFYING TRANSIENT LOCATIONS Renat Vafin1 , Richard Heusdens2 , Steven van de Par3 , W. Bastiaan Kleijn1 1 Department of Speech, Music and Hearing KTH (Royal Institute of Technology

IMPROVED MODELING OF AUDIO SIGNALS BY MODIFYING TRANSIENT LOCATIONS Renat Vafin1 , Richard Heusdens2 , Steven van de Par3 , W. Bastiaan Kleijn1 1 Department of Speech, Music and Hearing KTH (Royal Institute of Technology

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Source URL: www.mp3-tech.org

Language: English - Date: 2009-06-28 10:47:39
58The Journal of Neuroscience, May 11, 2016 • 36(19):5373–5384 • 5373  Behavioral/Cognitive How the Human Brain Represents Perceived Dangerousness or “Predacity” of Animals

The Journal of Neuroscience, May 11, 2016 • 36(19):5373–5384 • 5373 Behavioral/Cognitive How the Human Brain Represents Perceived Dangerousness or “Predacity” of Animals

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Source URL: haxbylab.dartmouth.edu

Language: English - Date: 2016-08-01 11:09:09
59In Proceedings of 37th German Conference on Artificial Intelligence (KI), pp, Springer LNCS 8736, Stuttgart, SeptemberFast Semantic Segmentation of RGB-D Scenes with GPU-Accelerated Deep Neural Networks Nic

In Proceedings of 37th German Conference on Artificial Intelligence (KI), pp, Springer LNCS 8736, Stuttgart, SeptemberFast Semantic Segmentation of RGB-D Scenes with GPU-Accelerated Deep Neural Networks Nic

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Source URL: www.ais.uni-bonn.de

Language: English - Date: 2014-08-04 06:23:43
60Introduction Your mailing list contains a lot of important data. In addition to what you’ve collected from your customers about their location, interests, and delivery preferences, there’s also campaign engagement,

Introduction Your mailing list contains a lot of important data. In addition to what you’ve collected from your customers about their location, interests, and delivery preferences, there’s also campaign engagement,

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Source URL: static.mailchimp.com

Language: English - Date: 2015-11-30 09:59:13