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I am
currently pursuing my Graduate studies at Statistical Visual Computing
Lab, Department of
Electrical and Computer Engineering at University of
California, San Diego (UCSD). I received my Bachelor
of Technology in Electrical Engineering from Indian Institute of Technology
(Kanpur), U.P, India. in 2005. I enjoy working with
images, both technical (Computer Vision, Computer
Graphics, Image Processing) and artistic (Photography,
Graphic Design, Animation) aspects of it.
Curriculum Vitae: pdf, html
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| Research: |
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My research interests are in the areas of computer
vision, pattern recognition, and machine learning. In
particular, I aim to develop probabilistic models of
images that can be applied to computer vision problems,
such as image annotation, image retrieval, scene
classification, object detection and localization, image
segmentation etc.
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Publications:
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| Journal Articles: |
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Bridging the Semantic Gap: Query by Semantic
Example
N. Rasiwasia and N. Vasconcelos
IEEE Trans. on Multimedia,
Vol. 9(5), pp. 923-938, August 2007 ©
IEEE [ps]
[pdf]
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| Conference Papers: |
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Holistic Context Modeling using Semantic Co-occurrences N. Rasiwasia and N. Vasconcelos
In, IEEE Conference on Computer Vision and Pattern Recognition,
Miami, June 2009
© IEEE
[ps]
[pdf]
Image Retrieval using Query by Contextual Example N. Rasiwasia and N. Vasconcelos
ACM Conference on Multimedia Information Retrieval,
pp. 164-171, Vancouver, Oct 2008
©
IEEE [ps]
[pdf]
A Systematic Study of the role of Context on Image Classification N. Rasiwasia and N. Vasconcelos
IEEE Conference on Image Processing,
pp. 1720-1723, San Diego, Oct 2008 ©
IEEE [ps]
[pdf]
Scene Classification with Low-dimensional Semantic Spaces and Weak Supervision N. Rasiwasia and N. Vasconcelos
IEEE Conference on Computer Vision and Pattern Recognition,
pp. 1-6, Anchorage, June 2008
©
IEEE [ps]
[pdf]
A study of Query by Semantic Example N. Rasiwasia and N. Vasconcelos
CVPR Workshop on Semantic Learning and Applications in Multimedia,
Anchorage, Alaska, June 2008
©
IEEE [ps]
[pdf]
Query by Semantic Example
N. Rasiwasia, P. J. Moreno and N.
Vasconcelos
ACM International Conference on Image and Video
Retrieva,
LNCS 4071, pp. 51-60, Phoenix, 2006 [ORAL] ©
IEEE [ps]
[pdf]
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| Bachelor Thesis: |
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The Avatar: 3D Face Reconstruction from two
orthogonal pictures
N. Rasiwasia and K. S. Venkatesh
Indian Institute of Technology, Kanpur, May 2005
[pdf]
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Presentations:
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Hierarchical Semantic Representation for Image
Retrieval
Emerging Leaders in Multimedia, IBM T. J. Watson
Research Center,
Hawthorne, NY, Oct 2008
A study of Query by Semantic Example
CVPR Workshop on Semantic Learning and
Applications in Multimedia,
Anchorage, Alaska, June 2008
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Main Projects:
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Query by Contextual Example
Statistical Visual Computing Lab, UCSD
[coming soon]
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Scene Classification with Low-dimensional Semantic Spaces
Statistical Visual Computing Lab, UCSD
A novel approach to scene categorization is proposed. An intermediate space is
introduced, based on a low dimensional semantic "theme" image representation.
However, instead of learning the themes in an unsupervised manner, they are
learned with weak supervision, from casual image annotations.
[project] |
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Query By Semantic Example
Statistical Visual Computing Lab, UCSD
The long term goal of this ongoing project is to successfully
retrieve images in a manner that is semantically meaningful to a human
observer. A semantic space is defined, where each of the axis represents a
semantic concept from a given vocabulary. Images are then represented
on this semantic space as vectors of posterior concept probabilities.
Extensive objective evaluation shows benefits of the proposed semantic representation,
over system based on traditional low-level visual features.
[project] |
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Past Projects:
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Surveillance Video Entertainment Network
Dept Of Visual Arts, UCSD
The software consists of a custom computer
vision application that tracks pedestrians and detects their characteristics,
and a real-time video processing application that receives this information and
uses it to generate music-video like visuals from the live camera feed.
[project] |
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The Avatar - Virtual 3-D Facial Makeover
IIT Kanpur
An algorithm for the fast reconstruction of
a textured 3-D face model of a given individual from his two orthogonal
pictures a frontal view and a profile view is presented. Initially the facial
features are identified and extracted giving the coordinated of the feature
points, and then a generic model is deformed using Radial Basis Functions
(RBF).
[project] |
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Real Time Robust Tracking of Human Hand
University of Trento, Italy
Detection and tracking of human hand in real
time under varying illumination conditions and various skin tones was explored.
Subsequent recognition of simple gestures gestures were also implemented.
[project] |
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Age Invariant Face Recognition
IIT Kanpur
The aim of this project was to find the
facial features which remain invariant or transform in a predetermined way with
age, thus establishing a match between the childhood and adult frontal face
photograph of the same individual.
[project] |
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Other Interesting Suff :)
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