Vassilis Athitsos Home Page

Vassilis Athitsos
Assistant Professor
Computer Science and Engineering Department
University of Texas at Arlington
Arlington, Texas 76019, USA
Office: Nedderman Hall 309, 416 Yates Street
Phone: 817-272-0155

Publications - Curriculum Vitae - Contact Info - Mirror site at UTA - Mirror site at BU

Teaching

Fall 2007: CSE 4308/5360 - Artificial Intelligence I.
Spring 2008: CSE 5361 - Artificial Intelligence II.

Fall 2008: CSE 4308/5360 - Artificial Intelligence I.
Spring 2009: CSE 6367 - Computer Vision.

Research

My main research areas are computer vision, machine learning, and data mining. A large part of my current work focuses on developing general methods for efficient and accurate similarity-based retrieval and classification, with applications in medical image analysis, gesture recognition, and optical character recognition. Details on the various projects I've been working on are provided in my publications. Brief descriptions of some recent/ongoing projects can be found at the following links:

Nearest-neighbor retrieval and classification
The datasets we have used for this project can be downloaded from this link. Code for the BoostMap method is freely available upon request (just send me an e-mail).
Detecting shape classes of variable structure in cluttered images
Hand pose estimation
Code and data for this project can be downloaded as a zipped file, with size approximately 100MB, from this link.

Selected Recent Publications

Z. Wu, M. Betke, J. Wang, V. Athitsos, and S. Sclaroff. Tracking with Dynamic Hidden State Shape Models. ECCV 2008.
V. Athitsos, P. Papapetrou, M. Potamias, G. Kollios, and D. Gunopulos. Approximate Embedding-Based Subsequence Matching of Time Series, SIGMOD 2008.
V. Athitsos, M. Potamias, P. Papapetrou, and G. Kollios. Nearest Neighbor Retrieval Using Distance-Based Hashing, ICDE 2008.
J. Wang, V. Athitsos, S. Sclaroff, and M. Betke. Detecting Objects of Variable Shape Structure With Hidden State Shape Models , PAMI, March 2008.
V. Athitsos, J. Alon, S. Sclaroff, and G. Kollios. BoostMap: An Embedding Method for Efficient Nearest Neighbor Retrieval, PAMI, January 2008.
V. Athitsos, A. Stefan, Q. Yuan, and S. Sclaroff. ClassMap: Efficient Multiclass Recognition via Embeddings, ICCV 2007.
A. Barbu, V. Athitsos, B. Georgescu, S. Boehm, P. Durlak, and D. Comaniciu. Hierarchical Learning of Curves: Application to Guidewire Localization in Fluoroscopy, CVPR 2007.
V. Athitsos, M. Hadjieleftheriou, G. Kollios, and S. Sclaroff. Query-Sensitive Embeddings, TODS, June 2007.