Assistant Computer

Shttp://researchweb.iiit.ac.in/ siddhartha.chandra

iddhartha Chandra

NBH 146, IIIT Hyderabad **************@*****.***

Gachibowli, Hyderabad - 500032, India +91-939*******

Education

**** ***** ***helor of Technology (Honours) + M.S. by Research

IIIT Hyderabad.

CGPA: 9.3/10

ISC XIIth Board

2006

Overall Percentage: 94.0% St. Joseph s College, Allahabad

ICSE Xth Board

2004

Overall Percentage: 95.4% St. Joseph s College, Allahabad

Research Positions

2009 today Research Assistant, Center for Visual Information Technology, IIIT Hyderabad

Research Advisor: Prof. C. V. Jawahar

Primary Research Areas: Machine Learning, Computer Vision

2010-2011 Research student visitor, Visual Geometry Group, University of Oxford

Publications

2012 Siddhartha Chandra, Shailesh Kumar, C.V. Jawahar. Learning Hierarchical Bag of

Words using Naive Bayes Clustering at Asian Conference on Computer Vision, Korea

2012 Siddhartha Chandra & C.V. Jawahar. Partial Least Squares Kernel for Computing

Similarities between Video Sequences Oral Presentation, International Conference on

Pattern Recognition, Japan

2012 Vinay Garg, Siddhartha Chandra, C.V. Jawahar. Sparse Discriminative Fisher Vectors

in Visual Classi cation Oral Presentation, ICVGIP, India

2010 Mayank Juneja, Siddhartha Chandra, Omkar Parkhi, C.V. Jawahar, Andrea Vedaldi, Marcin

Marszalek, Andrew Zisserman. Oxford/IIIT - TRECVID 2010 - Notebook paper, In

Proceedings of the TREC Video Retrieval Workshop organized by NIST, USA

Papers Under Review

2012 Siddhartha Chandra, Shailesh Kumar, C.V. Jawahar. Title withheld for anonymity at

CVPR 2013, USA

2012 Vinay Garg, Siddhartha Chandra, C.V. Jawahar. Title withheld for anonymity at CVPR

2013, USA

Research Projects

Feature Feature extraction using Restricted Boltzmann Machines

Learning K-RBMs for dense feature learning on natural images.

Clustering, Non-linear subspace clustering using K-RBMs

Subspace A novel EM type coupled approach to clustering that employs K-Restricted Boltzmann

Learning Machines for learning multiple non-linear subspaces in data.

Bag of Words, Naive Bayes clustering for learning Hierarchical Bag of Words

Image A novel Naive Bayes clustering method for clustering symbolic data to learn higher level

Classi cation visual words from low level visual words by aggregating symbols in a neighbourhood, thus

enriching the BoW representation with spatial context.

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Feature Sparse Discriminative Fisher Vectors

Learning A novel approach to creating sparse, discriminative Fisher Vectors.

Visual Discriminative visual words and visual vocabularies

Vocabularies Here we seek solutions to two fundamental questions: (a)which visual words are important?

and (b)which visual vocabularies are important?

Action Using Partial Least Squares Kernel for Action Recognition

Recognition PLS regression for computing similarity between two videos.

Detection, TREC Video Retrieval

Category SIFT, Spatial Pyramids based Bag of Words representation with SVM classi ers for scene

Retrieval category retrieval and deformable part based models for object detection in videos.

Detection, Detecting, Tracking and Recognizing Humans in Hollywood Movies

Tracking, Deformable parts based model to detect human upper bodies in video frames, tracking, and

Recognition recognition based on colour features.

Image Similar Image Search

Retrieval Colour features encoded into text; text search engine Lucene to index a database of images

and retrieve images similar to a query image.

Video Clustering NEWS Videos based on Visual Content

Clustering Story segmentation on video feeds from NEWS channels, hierarchical clustering of colour

features of video-stories.

Relevant Courses Taken

Advanced Machine Learning, Computer Vision, Pattern Recognition, Digital Image Processing, Arti -

Research cial Intelligence, Computer Graphics, Speech Systems

Other Data Structures, Algorithms, Theory of Computation, Operating Systems, Computer Orga-

nization, Software Engineering, Database Management, Compilers, Computer Networks

Other Positions

Working as System Administrator for CVIT, IIIT Hyderabad. Familiar with Sun-Grid Engine, among

other Linux Administration tools.

Worked as a Teaching Assistant for the following courses at IIIT Hyderabad through the 3rd 5th year:

Computer Vision (1 semester), C Programming (2 semesters), Algorithms (1 semester), Information

Technology (2 semesters).

Skill Set

Programming C, C++, Python, Shell Scripting, Scheme, Brainfuck

Graphics Open GL, Open CV, MATLAB

Programming

Version Control SVN, git

Ubuntu 8.04 12.10, Fedora 10 14, Windows Vista, XP, 7

Working

Platforms

O ce Work L TEX, Open O ce, MS O ce

A

Web Designing HTML, DHTML, JavaScript, Ajax, CSS, Flash MX 2004, MS Expression Web

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Server Side ModPython, CGI, PHP

Programming

Database MySQL

Image Adobe Photoshop

Manipulation

Other Academic Achievements

2007-2011 Mentioned regularly in the Dean s List of meritorious undergrad students at IIIT-H (seven

semesters)

2007 AIEEE All India Rank 2532 (out of > 700,000 candidates)

IIT All India Rank 3879 (out of > 450,000 candidates)

Extra Curricular

Music Vocalist of the Rock/Metal Band Karmic Blend, Hyderabad. Former vocalist of the Rock

Bands Blackhole, Hyderabad and Victims of Rock, Allahabad.

Literature Amateur Writer, Poet, Song writer, Blogger. www.sidjustice21.wordpress.com

Community Did voluntary work for BHUMI, a NGO for a year in 2007.

Service

Sports Play Cricket, Football, Basketball; tness enthusiast, swimming and shot put gold medalist

for school and college respectively.

References

Available on request.

Acknowledgement

I state that the information in this document is true to the best of my knowledge.

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