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Tomasz Malisiewicz
PhD Student

Email address: tomasz@cmu.edu

Mailing address:
Carnegie Mellon University
Robotics Institute
5000 Forbes Avenue
Pittsburgh, PA 15213

For more information, see my personal homepage.

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I want to build robotic vision systems that understand the visual world around them. I study computer vision, and I am interested in the problems of unsupervised image segmentation and object recognition. I enjoy applying machine learning techniques to vision problems in combination with large amounts of training data. I am also interested in statistical text modeling and knowledge extraction from unstructured text.

computer vision, machine learning, and object recognition

Note: This list may not be comprehensive. It contains only those publications in the RI publications database. Entries are listed in reverse chronological order.

• Recognition by Association via Learning Per-exemplar Distances
  T. Malisiewicz and A.A. Efros
  Proc. Computer Vision and Pattern Recognition (CVPR), June, 2008. [Abstract]
  Download: pdf [7859 KB] copyrighted

• Improving Spatial Support for Objects via Multiple Segmentations
  T. Malisiewicz and A.A. Efros
  British Machine Vision Conference (BMVC), September, 2007. [Abstract]
  Download: pdf [2423 KB] copyrighted

• Registration of Multiple Range Scans as a Location Recognition Problem: Hypothesis Generation, Refinement and Verification
  B.J. King, T. Malisiewicz, C.V. Stewart, and R.J. Radke
  Proceedings of 3DIM 2005, June, 2005, pp. 180-187. [Abstract]
  Download: pdf [4783 KB] copyrighted