|AI & Emerging Media||BU AIR @ HIC||Camera Mouse Website||Graduate Student Applicants||Women in CS|
|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.
|Publications:||Recent publications and full list of publications, Google Scholar profile, Microsoft Academic Search profile, ACM Digital Library profile, DBLP profile.|
|Students:||Current PhD students: Yiwen Gu, Mona Jalal, Stan (Sha) Lai, Wenda Qin, Hao Yu, Yi Zheng. Current MS students: Kaihong Wang. Qitong Wang. Most recently graduated PhD students: Ajjen Joshi, Wenxin Feng, Andrew Kurauchi, Elham Saraee, Mehrnoosh Sameki, Former MA, UROP students: Ashutosh Sanan, Kratesh Ramrakhyani, Huy Le. Student Awards.|
|Former Postdocs:||Randa Elanwar and Zheng Wu.|
Artificial Intelligence (CS 640) in Fall 2020, Room LAW AUD, Tue, Thu
9:30-10:45 am |
Image and Video Computation (CS 585) in Spring 2020: Tue/Thu 12:30-2 pm
Geometric Algorithms (CS 132) in Fall 2010
Graduate Initiation Seminar (CS 697) in Spring 2018: 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 2019: Mon 3:30-4. Tue 1:45-4, Thu 1:45-2, and by appointment in MCS 286, except after lectures, meet outside the classroom CGS 129.|
|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:||
Can the U.S. win the A.I. arms race?
Interview by Futurity, March 4, 2019.
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 - München, Frontpage - Netherlands
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.
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.
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)
L. Guo, K. Mays, S. Lai, M. Jalal, P. Ishwar, and M. Betke. Accurate, Fast, But Not Always Cheap: Evaluating "Crowdcoding" as an Alternative Approach to Analyze Social Media Data. Journalism \& Mass Communication Quarterly, 97(3): 811-834.
D. Gurari, Y. Zhao, S. Jain, M. Betke, and K. Grauman. Predicting How to Distribute Work Between Algorithms and Humans to Segment an Image Batch. International Journal of Computer Vision. 127(9):1198-1216, September 2019. pdf
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(7):714-730. July 2018. 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. 2018. Online Article.
Peer-reviewed Conference Papers:
Y. Zheng, W. Qin, D. Wijaya, and M. Betke. LAL: Linguistically Aware Learning for Scene Text Recognition. MM'20: Proceedings of the 28th ACM International Conference on Multimedia, October 2020, pages 4051-4059. https://doi.org/10.1145/3394171.3413913
Afra Feyza Akyurek, Lei Guo, Randa Elanwar, Margrit Betke, Prakash Ishwar, Derry T. Wijaya. Multi-label and Multilingual News Framing Analysis Proceedings of ACL 2020. To appear.
Q. Wang, Y. Zheng, M. Betke. A method for detecting text of arbitrary shapes in natural scenes that improves text spotting. IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2020 Workshops. June. 10 pages.
Siyi Liu, Lei Guo, Kate Mays, Margrit Betke, and Derry Wijaya. Detecting Frames in News Headlines and Its Application to Analyzing News Framing Trends Surrounding U.S. Gun Violence. Proc. of CoNLL, Hong Kong, November 2019, 11 pages. Gun Violence Frame Corpus (GVFC) dataset
Yiwen Gu, Shreya Pandit, Elham Saraee, Timothy Nordahl, Terry Ellis, and Margrit Betke. Home-based Physical Therapy with an Interactive Computer Vision System. ICCV Workshop, October 2019, 10 pages. pdf.
M. Jalal, K. Wang, S. Jefferson, Y. Zheng, E. O. Nsoesie, M. Betke. Scraping Social Media Photos Posted in Kenya and Elsewhere to Detect and Analyze Food Types, MADiMA 2019, the 5th International Workshop on Multimedia Assisted Dietary Management. In conjunction with the 27th ACM International Conference on Multimedia (ACMMMM 2019) Nice, France, October 21, 2019, 10 pages. pdf.
A. Joshi, D. Allessio, R. Lisle, J. Magee, I. Arroyo, S. Sclaroff, B. Woolf, and M. Betke. Affect-driven Learning Outcomes Prediction in Intelligent Tutoring Systems. The 14th IEEE Conference on Automatic Face and Gesture Recognition, Lille, France, May 2019, 5 pages. pdf.
M. Jalal, J. Spjut, B. Boudaoud, and M. Betke. SIDOD: A Synthetic Image Dataset for 3D Object Pose Recognition with Distractors. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, June 2019. 3 pp. pdf.
S. Pandit, S. Tran, Y. Gu, E. Saraee, F. Jansen, S. Singh, S. Cao, A. Sadeghi, E. Shandelman, T. Ellis and M. Betke. ExerciseCheck: A Scalable Platform for Remote Physical Therapy Deployed as a Hybrid Desktop and Web Application. 12th Annual ACM International Conference on Pervasive Technologies Related to Assistive Environments (PETRA 2019), Rhodos, Greece, June, 2019, 8 pages.
E. Saraee, Y. Gu, S. Pandit, S. Tran, E. Shandelman, S. Singh, T. Nordahl, T. Ellis and M. Betke. ExerciseCheck: Data Analytics for a Remote Monitoring and Evaluation Platform for Home-Based Physical Therapy. 12th Annual ACM International Conference on Pervasive Technologies Related to Assistive Environments (PETRA 2019), Rhodos, Greece, June, 2019, 9 pages.
L. Guo, K. Mays, Y. Zhang, M. Betke and D. Wijaya. What makes gun violence a prominent issue? A computational analysis of compelling arguments and partisanship. The Association for Education in Journalism and Mass Communication 2019 Conference, Toronto, Canada, August 7-10.
E. Saraee, M. Jalal, M. Betke. SAVOIAS: A Diverse, Multi-Category Visual Complexity Dataset. 10 pages. arXiv preprint arXiv:1810.01771. September 2018.
Mehrnoosh Sameki, Sha Lai, Kate K. Mays, Lei Guo, Prakash Ishwar, Margrit Betke. BUOCA: Budget-Optimized Crowd Worker Allocation. https://arxiv.org/abs/1901.06237. January 2019.