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Publications
MS Thesis:
Unsupervised Activity Discovery & Characterization for Sensor-Rich Environments.
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Refereed Journal Publications:
R. Hamid, S. Maddi, A. Johnson, A. Bobick, I. Essa, C. Isbell. A Novel Sequence Representation for Unsupervised Analysis of Human Activities. Accepted for Artificial Intelligence Journal.
R. Hamid, S. Maddi, A. Bobick, I. Essa. Unsupervised Analysis of Everyday Human Activities Using Suffix Trees. Submitted to IEEE Journal for Pattern Analysis and Machine Intelligence (PAMI).
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.K., 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.
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Refereed Conference Publications:
C. Zhang, R. Hamid, Z. Zhang. Taylor Expansion Based Classifier Adaptation: Application to Person Detection - To appear in proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2008.
[To Be Posted]
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.
Y. Ivanov, R. Hamid. Weighted Ensemble Boosting for Robust Activity Recognition in Video - In proceedings of International Conferenc of Computer Vision and Graphics 2006.
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, Utah, April 5-8 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), Madison, WI, June 2003.
Hamid, M. R., Baloch, A., Bilal, A., and Zaffar, N. (2003). Object Segmentation Using Feature Based Conditional Morphology. In proceedings of the 12th International Conference on Image Analysis and Processing - ICIAP 2003. Mantova, Italy, 548-553.
Amar R, Dow S, Gordon R, Hamid R, Sellers C, “Mobile ADVICE: An Accessible Device for Visually Impaired Capability Enhancement”, CHI 2003 Extended Abstract.
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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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