Drago Anguelov

Thesis

D. Anguelov, Learning Models of Shape from 3D Range Data. Stanford University, CA, December 2005.

Conference Submissions

New! Qi-Xing Huang and Dragomir Anguelov. High Quality Pose Estimation By Aligning Multiple Scans to a Latent Map. Proceedings of the International Conference on Robotics and Automation (ICRA), 2010.

D. Anguelov, K.-C. Lee, S. B. Gokturk and B. Sumengen. Contextual Identity Recognition in Personal Photo Albums. Proceedings of the Conference on Computer Vision and Pattern Recognition (CVPR), 2007.

J. Rodgers, D. Anguelov, H. Pang and D. Koller. Object Pose Detection in Range Scan Data. Proceedings of the Conference on Computer Vision and Pattern Recognition (CVPR), 2006.

D. Anguelov, P.Srinivasan, D.Koller, S.Thrun, J. Rodgers, J.Davis. SCAPE: Shape Completion and Animation of People.
Proceedings of the SIGGRAPH Conference, 2005.

D. Anguelov, B. Taskar, V. Chatalbashev, D. Koller, D. Gupta, G. Heitz, A. Ng. Discriminative Learning of Markov Random Fields for Segmentation of 3D Range Data. Proceedings of the Conference on Computer Vision and Pattern Recognition (CVPR), 2005.

D. Anguelov, P. Srinivasan, D. Koller, S. Thrun, H. Pang and J. Davis. The Correlated Correspondence Algorithm for Unsupervised Registration of Nonrigid Surfaces. Proceedings of the Neural Information Processing Systems (NIPS) Conference, 2004.

D. Anguelov, D. Koller, H. Pang, P. Srinivasan, S. Thrun. Recovering Articulated Object Models from 3D Range Data. Proceedings of the Uncertainty in Artificial Intelligence Conference(UAI), 2004.

D. Anguelov, D. Koller, E. Parker, S. Thrun. Detecting and Modeling Doors with Mobile Robots. Proceedings of the International Conference on Robotics and Automation (ICRA), 2004.

D. Anguelov, R. Biswas, D. Koller, B. Limketkai, S. Sanner, and S. Thrun. Learning hierarchical object maps of non-stationary environments with mobile robots. In Proceedings of the 17th Annual Conference on Uncertainty in AI (UAI), 2002.

M. Gavrilov, D. Anguelov, P.Indyk and R. Motwani, Data Mining The Stock Market: Cluster Discovery Proceedings of the 6th International Conference on Knowledge Discovery and Data Mining (KDD), 2000.

D. Koller, U. Lerner, D. Anguelov. A General Algorithm for Approximate Inference and its Application to Hybrid Bayes Nets, Proceedings of the 15th Annual Conference on Uncertainty in Artificial Intelligence (UAI-99).

Technical Report

D. Anguelov, P. Srinivasan, D. Koller, S. Thrun, H. Pang and J. Davis. The Correlated Correspondence Algorithm for Unsupervised Registration of Nonrigid Surfaces. Technical Report TR-SAIL-2004-100. Stanford University, 2004.
MP4 movie [zipped, 15MB]

Teaching

I was a teaching assistant for the following classes:

• CS 221. Artificial Intelligence: Principles and Techniques. Fall 2001
• CS 528. Broad Area Colloquium for Artificial Intelligence, Geometry, Graphics, Robotics and Vision. Fall, Winter, Spring 2002 - 2003.
• CS 228. Uncertainty in Artificial Intelligence. Winter 2004.