Sudheendra Vijayanarasimhan

I am a second year graduate student in the Department of Computer Sciences at the University of Texas at Austin. I obtained my B.Tech (Bachelor's) in Computer Science and Engineering at the Indian Institute of Technology, Madras.

Research Interests

I am interested in Machine Learning, Computer Vision, Object Recognition and Categorization. I'm currently working with Prof. Kristen Grauman on actively selecting annotations from a mixture of weakly and strongly labeled examples in image categorization.

Publications

Software

• Source code used in the Semantice Robot Vision Challenge

The Semantic Robot Vision Challenge (SRVC) is a workshop conducted every year where fully autonomous robots receive a text list of objects that they are to find. They use the web to automatically find image examples of those objects in order to learn visual models. These visual models are then used to identify the objects in the robot's cameras.

I participated in the 2008 event and applied a Multiple-Instance Learning based approach for the problem. Here's the complete source code of our method. This readme file should get you started if you would like to apply our method.

• Incremental SVM

Here's a C++ implementation of the Incremental SVM method of Cauwenberghs and Poggio based on their MATLAB implementation .

Useful Links

• The Open CV project

• Interest point detectors and descriptors

• An online latex equation editor

• AI/ML Conferences

Friends

Vinodh Muralidaran Murtaza Deepak Shyamnath Vishal Anirudh Anirudh Prasad Arunachalam Srikanth Sid

Contact

Address:
Department of Computer Science
University of Texas at Austin
1 University Station
CSA 1.106
Austin, TX 78712-0233

Email: svnaras at cs dot utexas dot edu