| Manik Varma |
| Researcher |
| Microsoft Research India |
| manik@microsoft.com |
Brief Bio: I received a bachelor's degree in
Physics from St. Stephen's College, University of Delhi in 1997 and
another one in Computation from the University of Oxford in 2000 on a
Rhodes Scholarship. I then stayed on at Oxford on a University
Scholarship and obtained a DPhil in Engineering in 2004. Before
joining Microsoft Research I was a Post-Doctoral Fellow at MSRI
Berkeley. My research interests lie in the areas of machine learning
and computer vision.
Research
I am interested in the following research areas
- Multiple Kernel Learning
- Transfer Learning
- Density Estimation
- Feature Extraction and Low Level Vision
- Reading Text in Images
- Texture Classification
- Aerial Image Analysis
If you would like to apply for an internship at Microsoft Research
India then please e-mail me directly. This is better than applying
online as it'll ensure that I notice, and go through, your
application. However, I still might not be able to respond to each
e-mail in person. Internships are open throughout the year and
typically last between 3 to 6 months (though this is quite flexible).
Publications
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M. Varma and A. Zisserman.
A statistical approach to material classification using image
patch exemplars.
IEEE Transactions on Pattern Analysis and Machine Intelligence,
to appear.
Bibtex source |
Abstract |
Download in pdf format
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M. Varma and D. Ray.
Learning the discriminative power-invariance trade-off.
In Proceedings of the IEEE International Conference on
Computer Vision, Rio de Janeiro, Brazil, October 2007.
Bibtex source |
Abstract |
Download in pdf format |
Slides |
www |
Code |
Caltech
Challenge 2007
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M. Varma and R. Garg.
Locally invariant fractal features for statistical texture
classification.
In Proceedings of the IEEE International Conference on
Computer Vision, Rio de Janeiro, Brazil, October 2007.
Bibtex source |
Abstract |
Download in pdf format
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N. Adabala and M. Varma and K. Toyama.
Computer aided generation of stylized maps.
Computer Animation and Virtual Worlds, 18(2):133--140, May 2007.
Bibtex source |
Abstract |
Download in pdf format
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M. Varma and A. Zisserman.
A statistical approach to texture classification from single images.
International Journal of Computer Vision: Special Issue on
Texture Analysis and Synthesis, 62(1--2):61--81, April 2005.
Bibtex source |
Abstract |
Download in pdf format
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M. Varma and A. Zisserman.
Unifying statistical texture classification frameworks.
Image and Vision Computing, 22(14):1175--1183, December 2004.
Bibtex source |
Abstract |
Download in pdf format
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M. Varma.
Statistical Approaches To Texture Classification.
DPhil Thesis, University of Oxford, October 2004.
Bibtex source |
Abstract |
Download in pdf format (~18 Mb)
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M. Varma and A. Zisserman.
Estimating illumination direction from textured images.
In Proceedings of the IEEE Conference on Computer Vision and
Pattern Recognition, Washington, DC, volume 1, pages
179--186, June 2004.
Bibtex source |
Abstract |
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M. Varma and A. Zisserman.
Texture classification: Are filter banks necessary?
In Proceedings of the IEEE Conference on Computer Vision and
Pattern Recognition, Madison, Wisconsin, volume 2, pages
691--698, June 2003.
Bibtex source |
Abstract |
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M. Varma and A. Zisserman.
Statistical approaches to material classification.
In Proceedings of the Indian Conference on Computer Vision,
Graphics and Image Processing, Ahmedabad, India, pages
167--172, December 2002.
Bibtex source |
Abstract |
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M. Varma and A. Zisserman.
Classifying materials from images: to cluster or not to cluster?
In Proceedings of the 2nd International Workshop on Texture
Analysis and Synthesis, Copenhagen, Denmark, pages
139--144, June 2002.
Bibtex source |
Abstract
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M. Varma and A. Zisserman.
Classifying images of materials: Achieving viewpoint and illumination
independence.
In Proceedings of the 7th European Conference on Computer
Vision, Copenhagen, Denmark, volume 3, pages 255--271.
Springer-Verlag, May 2002.
Bibtex source |
Abstract |
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M. Varma and V. S. Varma.
Computer simulation of evolution.
In Proceedings of the GIREP-ICPE International Conference,
Ljubljana, Slovenia, pages 138--150, August 1996.
Bibtex source