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Topic: How to gain access to the source code (Read 102704 times) |
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Alexandra_Oncu
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Re: How to gain access to the source code
« Reply #300 on: 05/07/12 at 05:21:42 » |
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Dear Sir,
I am a Master Student at Gjovik University College (Norway) and I am currently writting my Master thesis on the topic of Digital Inpainting for Artwork. More specifically, I am evaluating the evaluation methods for inpainting algorithms, in order to determine which of the existent methods could be used objectively to assess the quality of an inpainting algorithm. As two of the evaluation methods I am considering in my thesis make use of iNVT, version 3.1, I would like to use the same toolbox in order to obtain the saliency maps.
Thank you and best regards,
Alexandra Oncu
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dl
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Re: How to gain access to the source code
« Reply #301 on: 06/22/12 at 23:58:25 » |
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Hello!
Thank you for sharing this code! I'm a Phd student at Nanyang Technological University, singapore and I'm working with the visual attention based selective rendering application. Hope that you could grant me access to your code for saliency detection on image and video! Thank you for your time and I am looking forward to your response!
Name: lu
Email: s090059@e.ntu.edu.sg
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andyTsing
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Re: How to gain access to the source code
« Reply #302 on: 07/01/12 at 01:24:34 » |
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request get source code
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jennemj
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Re: How to gain access to the source code
« Reply #303 on: 07/04/12 at 07:55:49 » |
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Source Code Request.
My name is Mark Jenne and I have recently started working on a joint Computer Vision and Cognitive Science project at Indiana University seeking to determine any correlation between visual attention and behavioral and psychological traits. Having access to your implementation for producing saliency maps would be very beneficial to the project.
Thanks,
Mark
email: jennemj@gmail.com
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mstefan
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Re: How to gain access to the source code
« Reply #304 on: 07/06/12 at 03:49:17 » |
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Hi,
My name is Stefan Mathe and I am a PhD student in the Computer Science Department at the University of Toronto. My work focuses on automatic action recognition from videos and images. Recently, I have been investigating how various attention mechanisms could be used to support better recognition models. As such, I would be interested in using your saliency-based visual attention predictor to guide my recognition algorithms. Therefore, I would like to request access to your framework in order to be able to run your saliency predictors on the datasets we are using.
My email is: mstefan@cs.toronto.edu.
Kind regards,
Stefan.
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visible
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Re: How to gain access to the source code
« Reply #305 on: 08/28/12 at 11:36:07 » |
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Hi My name is Arman Garakani. My company www.reifycorp.com has developed software for observing and measuring biological movements. I am interested to contribute and learn from what you have done ( contribute as a developer ).
Best regards
-Arman
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andyTsing
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Re: How to gain access to the source code
« Reply #306 on: 08/31/12 at 00:55:01 » |
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Source code access Requests
i am aprogramer in china ,and very interster this function,thans
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tilkejudd
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Re: How to gain access to the source code
« Reply #307 on: 10/16/12 at 13:29:57 » |
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Hello,
I do research on models of saliency and I would like to try out the Itti and Koch model under the iNVT source code.
Thanks
Tilke
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gilles.bailly
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Re: How to gain access to the source code
« Reply #308 on: 11/07/12 at 07:55:30 » |
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Hi,
I am Gilles Bailly and I am a researcher in Human-Computer Interaction at the Max-Planck Institute in Germany.
I would like to use the Saliency model to predict visual search time in pull-down menus.
Thanks for the login and the password,
Best,
Gilles Bailly
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marian.george
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Re: How to gain access to the source code
« Reply #309 on: 11/20/12 at 05:33:04 » |
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Hello,
I am a PhD student in ETH, Zurich. I am working on a research project to recognize products in super markets using cameras in mobile phones. I need the source code to experiment with the bottom-up attention approach.
Thank you
Best,
Marianne
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horimoto_usui
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Re: How to gain access to the source code
« Reply #310 on: 11/26/12 at 22:23:53 » |
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Dear Prof. Itti,
Hello! We are university students who studying architecture and urban design in Japan.
We are going to do research in using Saliency Map for future plan of construction. We want to analyze graphics. But we can't go on with this research because we have no experience of programming.
So we want to use this source cord for my research that's why we ask you to help me. If you see this e-mail, please get in touch us.
E-mail:ru001081@ed.ritsumei.ac.jp
Horimoto,Usui
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voiduser
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Re: How to gain access to the source code
« Reply #311 on: 12/10/12 at 12:52:08 » |
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Hello,
I am an undergraduate Computer Science student interested in biologically inspired methods. My Bachelor thesis is related to video content analysis and I would like to study the possible applications of the saliency map.
Thank you,
Gabriel
(I have included the email as part of the registration process)
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alcheong
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Re: How to gain access to the source code
« Reply #312 on: 12/13/12 at 16:50:54 » |
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Hi,
I'm a graduate student at the University of Houston and would like to try out the gist algorithm code on some biological images.
Email: audreys247@yahoo.com
Thank you,
Audrey
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tloverman
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Re: How to gain access to the source code
« Reply #313 on: 12/20/12 at 15:05:43 » |
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Hello, I would like access the Saliency package to investigate the Gist and Saliency features for improvements to image registration. My contact information is
Tim L. Overman
Research Scientist, Principal
Lockheed Martin Corporation
1300 S. Litchfield Road
Goodyear Arizona
623-925-7886
623-925-7080 (fax)
timothy.l.overman@lmco.com
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lachesi
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Re: How to gain access to the source code
« Reply #314 on: 12/27/12 at 13:26:35 » |
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Hi,
my name is Saverio Benetulli. I've always been interested in the Artificial Life field, and I also like programming. I'm trying to build biological plausible creatures (biochemistry, organs, genes, brains, etc.). I've found your model for visual saliency inspiring and would like to study it more in depth.
My e-mail address is saveriobenetulli@gmail.com.
Many thanks in advance.
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