Raffay Hamid

Raffay Hamid

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Ph.D. Thesis

A Computational Framework for Unsupervised Analysis of Human Activities In Everyday Environments. Ph.D. Thesis, College of Computing, Georgia Institute Of Technology, 2008.

Journal Publications:

R. Hamid, S. Maddi, A. Bobick, I. Essa. Unsupervised Analysis of Everyday Human Activities Using Suffix Trees. Submitted Artificial Intelligence Journal.

R. Hamid, S. Maddi, A. Johnson, A. Bobick, I. Essa, C. Isbell. A Novel Sequence Representation for Unsupervised Analysis of Human Activities. Artificial Intelligence Journal 173 (14): 2009.

Y. Ivanov, R. Hamid. Weighted Ensemble Boosting for Robust Activity Recognition in Video. International Journal of Machine Graphics and Vision 4(2): 2007.

Dey, A., Hamid, R., Beckmann, C., Hsu, D. and Li, I. - a CAPPElla: Programming by Demonstration of Context-Aware Applications. CHI Letters 6(1): April 24-29, 2004.

Refereed Conference & Workshop Publications:

C. Zhang, R. Hamid, Z. Zhang. Taylor Expansion Based Classifier Adaptation: Application to Person Detection - In proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2008.

R. Hamid, S. Maddi, A. Bobick, I. Essa. Structure from Statistics - Unsupervised Activity Analysis using Suffix Trees - In proceedings of International Conference on Computer Vision 2007.

R. Hamid, S. Maddi, A. Bobick, I. Essa. Unsupervised Analysis of Activity Sequences Using Event Motifs - In proceedings of 4th ACM International Workshop on Video Surveillance and Sensor Networks (in conjunction with ACM Multimedia 2006).

R. Hamid, S. Maddi, A. Johnson, A. Bobick, I. Essa, C. Isbell. Discovery and Characterization of Activities from Event-Streams - In proceedings of UAI 2005.

R. Hamid, S. Maddi, A. Johnson, A. Bobick, I. Essa, C. Isbell. Unsupervised Activity Discovery and Characterization From Event-Streams - In proceedings of The Learning Workshop at Snowbird, 2005.

R. Hamid, A. Johnson, S. Batta, A. Bobick, C. Isbell, G. Coleman. Detection and Explanation of Anomalous Activities: Representing Activities as Bags of Event n-Grams. In proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2005.

R. Hamid, A. Bobick, A. Yezzi. Audio-Visual Flow - A Variational Approach to Multi-Modal Flow Estimation. In proceedings of 12th International Conference on Image Processing (ICIP) 2004.

R. Hamid, Yan Huang, Irfan Essa. "ARGMode - Activity Recognition using Graphical Models". In proceedings of IEEE Workshop on Event Mining: Detection and Recognition of Events in Video, held in Conjunction with the Computer Vision and Pattern Recognition Conference (CVPR) 2003.

R. Hamid, A. Baloch, A. Bilal, and N. Zaffar. Object Segmentation Using Feature Based Conditional Morphology. In proceedings of the 12th International Conference on Image Analysis and Processing (ICIAP) 2003.

Amar R, Dow S, Gordon R, Hamid R, Sellers C, “Mobile ADVICE: An Accessible Device for Visually Impaired Capability Enhancement”, CHI 2003 Extended Abstract.

Technical Reports:

A Gradient-Based Method for Adaptation of Ensemble Classifiers - Work was done at Microsoft Research - Summer 07.

Weighted Ensemble Boosting for Robust Activity Recognition in Video - Work was done at Mitsubishi Electric Research Lab - Summer 05.

aCAPpella - a new approach for prototyping context-aware applications by demonstration. Work was done at Intel Research Lab Berkeley - Summer 03.

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