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Margrit Betke, Professor, Department of Computer Science

Short Bio and Funding, Long CV

Education: Ph.D. in Computer Science and Electrical Engineering, Massachusetts Institute of Technology
Research: Computer vision, human-computer interfaces, human computation, medical image analysis, and application of machine learning. Sample projects:
Publications: Recent publications and full list of publications, Google Scholar profile, Microsoft Academic Search profile, ACM Digital Library profile, DBLP profile.
Former Postdocs: Randa Elanwar and Zheng Wu.
Students: PhD students: Ajjen Joshi, Wenxin Feng, Yifu Hu, Mona Jalal, Wenda Qin, Elham Saraee, Yi Zheng, Most recently graduated PhD students: Andrew Kurauchi, Mehrnoosh Sameki, Danna Gurari, Diane Theriault, Mikhail Breslav. Former MA, UROP students: Ashutosh Sanan, Kratesh Ramrakhyani, Huy Le. Student Awards.
Teaching: Artificial Intelligence (CS 440/640) in Spring 2018, Room KCB 101, Tue, Thu 12:30-1:45 pm
Image and Video Computation (CS 585) in Fall 2018: Tue/Thu 12:30-2 pm, MCS CAS 313
Geometric Algorithms (CS 132) in Fall 2010
Graduate Initiation Seminar (CS 697) in Spring 2017: Fri 10:10-11:25, PHO 211.
Directed Study in Image and Video Computing: CAS CS 492, GRS CS 941, or GRS CS 979, or Directed Study in AI: GRS CS 941, ongoing.
Office Hours: Spring 2018: Tue 1:45-2, 3-4, Wed 10:30-11, Thu 1:45-2, and by appointment in MCS 286, except after lectures, meet outside the classroom.
Honors & Awards: HERS Leadership Institute Award, Wellesley Class of 2018. Elected to Senior Member of the ACM and Senior Member of the IEEE in October 2012. One of two academics to win the "Top 10 Women to Watch in New England" Award in 2005. Many students and researchers she sponsored have won awards.
In the Press: Google Award, Group Behavior Award.
Camera Mouse: Video Interview, BU, Kablenet, Belfast Telegraph, MassHighTech, Bradford Telegraph & Argus
Empathic Painting: BBC, ABC News, SydneyMH, The Hindu, DigitalWorld Tokyo, Inky, Canada TecChannel - M√ľnchen, Frontpage - Netherlands
Free Software: Camera Mouse - a program that enables a person with severe disabilities to control the mouse pointer on the computer screen just by moving the head (see also research version).
Camera Canvas - image editing software developed for people with severe motor impairments who cannot use their hands to operate a mouse or keyboard. It can be used with the Camera Mouse or other mouse-replacement tools. Camera Canvas enables users to edit images and draw pictures just by moving their heads.
Patent: "Method and system for the detection, comparison and volumetric quantification of pulmonary nodules on medical computed tomography scans." Inventors Margrit Betke and Jane P. Ko., US Patent 7,206,462, issued on April 17, 2007.
Editor: Associate Editor, Editorial Board of the journal IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)
Associate Editor, Editorial Board of the journal Computer Vision and Image Understanding (CVIU)

Book:

M. Betke and Z. Wu. 2016. Data Association for Multi-Object Visual Tracking. Morgan & Claypool Lecture Series on Computer Vision. 120 pages.

Recent Publications:

Book Chapter:

M. Betke, T. Hedrick, D. Theriault. "Multi-Camera Videography Methods for Aeroecology." In Aeroecology, edited by P. B. Chilson, W. F. Frick, J. F. Kelly, and F. Liechti. Springer International Publishing AG, 2017. pdf

Journal Papers:

R. I. Elanwar, W. Qin, and M. Betke. Making Scanned Arabic Documents Machine Accessible Using an Ensemble of SVM Classifiers. International Journal on Document Analysis and Recognition, 21(1-2):59-75, June 2018. Abstract, pdf.

D. Gurari, K. He, B. Xiong, J. Zhang, M. Sameki, S. D. Jain, S. Sclaroff, M. Betke, and K. Grauman. "Predicting Foreground Object Ambiguity and Efficiently Crowdsourcing the Segmentation(s)." International Journal of Computer Vision. 126:714-730. Online Article

W. Feng, M. Sameki, and M. Betke. "Exploration of Assistive Technologies Used by People with Quadriplegia Caused by Degenerative Neurological Diseases." International Journal of Human Computer Interaction, 34(9):834-844. Online Article.

J. Zhang, S. Ma, M. Sameki, S. Sclaroff, M. Betke, Z. Lin, X. Shen, B. Price, and R. Mech "Salient Object Subitizing," International Journal of Computer Vision, 124(2):169-186, September 2017. Online Article.

Peer-reviewed Conference Papers:

R. Agrawal, A. Joshi, and M. Betke. "Enabling Early Gesture Recognition by Motion Augmentation." The 11th Annual International Conference on Pervasive Technologies Related to Assistive Environments (PETRA 2018), Corfu, Greece, June 26-29, 2018, pages 98-101. pdf.

A. Joshi, S. Ghosh, S. Gunnery, L. Tickle-Degnen, S. Sclaroff, and M. Betke "Context-sensitive Prediction of Facial Expressivity using Multimodal Hierarchical Bayesian Neural Networks." Proceedings of the 13th IEEE Conference on Automatic Face and Gesture Recognition (FG'18), Xi'an, China, May 15-19, 2018. 8 pp. pdf.

R. Elanwar and M. Betke. "Physical Layout Analysis of Scanned Arabic books." 2nd IEEE International Workshop on Arabic and derived Script Analysis and Recognition (ASAR), March 2018.

R. S. M. Saad, R. Elanwar, N. S. Abdel Kader, S. Mashali, and M. Betke. "Analyzing scanned Arabic documents using Random Forests." 2nd IEEE International Workshop on Arabic and derived Script Analysis and Recognition (ASAR), March, 2018. Winner of the ASAR Segmentation Challenge.

W. Qin, R. Elanwar and M. Betke. "LABA: Logical Layout Analysis of Book Page Images in Arabic Using Multiple Support Vector Machines." 2nd IEEE International Workshop on Arabic and derived Script Analysis and Recognition (ASAR), March 2018.

M. Sameki, T. Zhang, L. Ding, M. Betke, and D. Gurari. "Crowd-O-Meter: Predicting the Vulnerability of Crowd Workers to False News." The Fifth AAAI Conference on Human Computation and Crowdsourcing (HCOMP 2017), Quebec City, Canada, October 24-26, 2017, 10 pages. pdf.

A. Joshi, S. Ghosh, M. Betke, S. Sclaroff, and H. Pfister. "Personalizing Gesture Recogntion using Hierarchical Bayesian Neural Networks," IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Waikiki Beach, Hawaii, July 2017, 10 pages. pdf.

Earlier Publications:


Image of Research Results
Margrit Betke, Professor
Computer Science Department
Boston University
111 Cummington Mall, Rm MCS 286
Boston, MA 02215 ( campus map )
Email: betke @ cs.bu.edu
URL: http://www.cs.bu.edu/faculty/betke
Phone: 617-353-8919 (or 6412)
Fax: 617-353-6457
Last updated: July 2018
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