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Topic: How to gain access to the source code (Read 102688 times) |
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seonghun0115
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Re: How to gain access to the source code
« Reply #210 on: 01/31/10 at 06:50:10 » |
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Hi,
My name is SeongHun Lee.
I am PH.D student in KAIST, Korea.
I am currently interested in object recognition, especially character recogntiion.
I want to combine saliency map and current detection skill. so I need to access saliency map source code.
Thanks,
SeongHun
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joanneti
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Re: How to gain access to the source code
« Reply #211 on: 02/03/10 at 19:09:39 » |
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Hi Laurent,
I've moved from USC to UBC, where I'm postdoc-ing with Kevin Murphy and am looking at statistical descriptions of video for compression and video retrieval. Your 2004 IEEE Transactions on Image processing paper has some nice results and we'd like to reproduce them (or at least experiment with some of the conditions). Any help would be greatly appreciated!
thanks,
Jo-Anne
jting@acm.org
Department of Computer Science
University of British Columbia
201-2366 Main Mall
Vancouver, BC, Canada
V6T 1Z4
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KFujii
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Re: How to gain access to the source code
« Reply #212 on: 03/09/10 at 10:00:30 » |
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Hi my name is Kenko Fujii,
I am a PhD student at Imperial College London under the Computer Science department.
I am interested in using your bottom up visual saliency model to conduct some experiments with eye tracking fixations. I would be grateful if you could grant me access to your code.
my email address is: k.fujii09@imperial.ac.uk
Thanks,
Kenko
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lkbwx
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Re: How to gain access to the source code
« Reply #213 on: 03/15/10 at 01:19:08 » |
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Hello!
I am a graduate student. My current project is to implement the image resizing process, the algorithm of which is described in the paper "optimized scale and stretch for image resizing". As a starting step, a saliency map should be calculated together with a gradient map,
with the help of these two, a significant map can be carried out, and then some following steps to get the image resized.
Right now I am making my first steps in trying to generate the significant map and searching the web for examples of similar codes. Google led me to your webpage, and I hope you would allow me to take a look at your code. I am "an honest beginner" in this type of work and I would just use your code as an example of how this kinds of models can be implemented.
Look forward to hearing from you,
email: 05lkbwx@gmail.com
WX
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| « Last Edit: 03/15/10 at 01:21:44 by lkbwx » |
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xiaosong
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Re: How to gain access to the source code
« Reply #214 on: 03/19/10 at 01:07:43 » |
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Hi,
I am a student from xidian University of China, songjian, and I am currently working on a project on face recognition. I am especially interested in pandemonium-like computational models like Reisenhuber&Poggio's HMAX. I would much like to get hold of the actual source code of the implementation, wich I understand is available here. The main purporse for obtaining the code is to do some experiments on the model, and testing the performance of the model on face recognition. My email is songjiebang@163.com.
Thanks for your time - I hope to hear from you !!
songjian
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motansei
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Re: How to gain access to the source code
« Reply #215 on: 03/22/10 at 01:07:33 » |
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Hi, here is a researcher from Nanyang Technological University, Singapore. I need the saliency code for further fast automatic object categorization. Please help out grant the access rights to me, thank you so much! motansei
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Dawson
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riveale
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Re: How to gain access to the source code
« Reply #216 on: 03/30/10 at 14:55:22 » |
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(I put this in a new topic before...but I think it was supposed to be in here?)
Hello,
I would like to have access to the source code for your saliency map implementation in C++.
I am a PhD student at indiana university's cognitive science program/computer science department and I work with developmental robotic models of infant learning, esp. word-referent learning in pre-verbal infants. I would like to have access to your saliency map source code so that I can use it to drive attention of my robot in experiments investigating the role attention plays in early embodied learning.
Thank you,
Richard Veale, Joint Ph.D Student CogSci/CompSci
HRI Lab
Indiana University
TEL: 812.391.4804
EMAIL: riveale AT indiana DOT edu
SITE: cs.indiana.edu/~riveale
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tedrod1991
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Re: How to gain access to the source code
« Reply #217 on: 04/12/10 at 08:15:08 » |
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Hello
I am a PHD student. I am working in Xerox Research Center Europe. I am interesting in testing your Gist Feature in image aesthetic categorization.
Thank you very much and I am looking forward to your response.
Best regards!
Rodrigue
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chwang
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Re: How to gain access to the source code
« Reply #218 on: 04/27/10 at 00:43:56 » |
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Dear Prof. Itti,
I am a postdoctoral researcher at NSYSU, Taiwan.
I am currently working on a project on image retrieval.
I would like to get the source code of the paper
"A Model of Saliency-Based Visual Attention for Rapid Scene Analysis," IEEE Trans. on PAMI.
Thank you for you kindness.
Best Regards,
-
Chao-Huang Wang
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qiezi1015
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Re: How to gain access to the source code
« Reply #219 on: 05/11/10 at 00:40:28 » |
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Hi
I am a postgraduate student from Nanyang Technological University, Singapore. I am currently working on an image retargeting project. I am planning to use the saliency map for determining the importance of image regions.
I would like to have access to the saliency map source code in C++.
Thank you
Xuejie Zhang
School of Computer Engineering
Nanyang Technological University
EMAIL: zhangxuejie@ntu.edu.sg
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masha_taka
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Re: How to gain access to the source code
« Reply #220 on: 05/21/10 at 20:03:15 » |
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Dear Mr. Itti,
My name is Masaki Takahashi,
a researcher of Japanese company.
I'm interesting in testing the saliency maps source code, because I'm trying to detect abnormal human behavior
from a fixed surveillance camera.
My email address is
mataka@f2.dion.ne.jp
Best Regards.
Masaki Takahashi,
Tokyo, Japan
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| « Last Edit: 05/21/10 at 20:05:49 by masha_taka » |
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Sang-Gyu, Cho
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Re: How to gain access to the source code
« Reply #221 on: 05/28/10 at 15:59:53 » |
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Dear Prof. Itti.
I'm a Ph.D student in Development of Elect. & Inform. Eng. of Kunsan National University at Source KOREA
I'm working on image/video processing and computer vision relative to the HCI.
I have a interesting the 3D image/video quality assessment based on Human Visual System.
I hope to contribute my current working with your saliency area detection research for a image quality assessment that contruct modified Daly's algorithms (Visible Different Prediction, VDP, 1992).
So, I want to try your source code to detect the salience region or points and hope to find the answer "Bottom-up system".
Thanks for your attention!!
sgcho@kunsan.ac.kr
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skamalas
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Re: How to gain access to the source code
« Reply #222 on: 06/02/10 at 03:00:52 » |
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Hello!
My name is Yannis Kalantidis, and I am a Ph.D student in the National Technical University of Athens (NTUA) working on Image analysis and retrieval. Here is a demo of our retrieval and localization system: http://viral.image.ntua.gr/
Since I am testing methods for feature selection, your saliency code could really help me experiment towards that direction.
So, I would be glad if you would grand me access to the SVN with the source code.
Thank you so much in advance!
Yannis Kalantidis
NTUA - IVA
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orchidia
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Re: How to gain access to the source code
« Reply #223 on: 06/07/10 at 02:09:59 » |
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Hello,
My name is Beata Dopierala. I am a PhD student at Universty of Oslo. I am investigating the role of attention in perceptual quality assesment of multimedia content. Currently I'm testing various methods of attention mapping for both images and videos. Thank you in advance.
Beata Dopierala
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valencia_kro
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Re: How to gain access to the source code
« Reply #224 on: 06/14/10 at 08:43:55 » |
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Hi,
I am a student from Institute of Physics of São Carlos, University of Sao Paulo, Brasil. I am currently working on a project on visual attention. I would very much like to get hold of the actual source code of the implementation, wich I understand is available here. The main reason for obtaining the code is to do some experiments on the model, and testing.
Thank you for your time - I hope to hear from you soon!!
Carolina Guillen
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