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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, https://orcid.org/0000-0002-4491-6868
Students: Current PhD students: Yiwen Gu, Mona Jalal, Stan (Sha) Lai, Wenda Qin, Hao Yu, Kaihong Wang. Yi Zheng. Most recently graduated PhD students: Elham Saraee, Ajjen Joshi, Wenxin Feng, Andrew Kurauchi, Mehrnoosh Sameki, Former MA, UROP students: Qitong Wang. Ashutosh Sanan, Kratesh Ramrakhyani, Huy Le. Student Awards.
Former Postdocs: Randa Elanwar and Zheng Wu.
Teaching: 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 2021: Tue/Thu 9:30-10:45 am
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 2021: Mon 4-5:30. Tue, Thu after class at 10:45 in person & on zoom. Zoom link: https://bostonu.zoom.us/my/margritbetke
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. 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 - München, 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:

Journal Papers:

Lauren Etter, Alinani Simukanga, Wenda Qin, Rachel Pieciak, Lawrence Mwananyanda, Margrit Betke, Jackson Phiri, Caroline Carbo, Arnold Hamapa, and Chris Gill. Project SEARCH (Scanning EARs for Child Health): validating an ear biometric tool for patient identification in Zambia. Gates Open Research, 4(168):1--14, November 2020, https://gatesopenresearch.org/articles/4-168.

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. September 2020. https://doi.org/10.1177/1077699019891437

W. Qin, R. Elanwar, and M. Betke. Text and metadata extraction from scanned Arabic documents using support vector machines, Journal of Information Science, July 2020. 12 pages. https://doi.org/10.1177/0165551520961256

Elham Saraee, Mona Jalal, and Margrit Betke, Visual complexity analysis using deep intermediate-layer features, Computer Vision and Image Understanding, Vol. 195, June 2020, pages 1--17, https://doi.org/10.1016/j.cviu.2020.102949.

Peer-reviewed Conference Papers:

Kaihong Wang, Chenhongyi Yang, and Margrit Betke. Consistency Regularization with High-dimensional Non-adversarial Source-guided Perturbation for Unsupervised Domain Adaptation in Segmentation The Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI-21), February 2021. 9 pages.

A. Kurauchi, W. Feng, A. Joshi, C.H. Morimoto, and M. Betke. Swipe&Switch: Text Entry Using Gaze Paths and Context Switching Adjunct Publication of the 33rd Annual ACM Symposium on User Interface Software and Technology (UIST '20), October 20–23, 2020, Virtual Event, USA, pages 84-86. https://dl.acm.org/doi/pdf/10.1145/3379350.3416193

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

Chenhongyi Yang, Vitaly Ablavsky, Kaihong Wang, Qi Feng, and Margrit Betke, Learning to Separate: {D}etecting Heavily-Occluded Objects in Urban Scenes 16th European Conference on Computer Vision: ECCV'20 Online. August, 2020

Afra Feyza Akyurek, Lei Guo, Randa Elanwar, Margrit Betke, Prakash Ishwar, and Derry T. Wijaya. Multi-label and Multilingual News Framing Analysis Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics (ACL), July 2020, pages 8614-8624.

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.

Y. Gu, M. Bahrani, A. Billot, S. Lai, E. J. Braun, M. Varkanitsa, J. Bighetto, B. Rapp, T. B. Parrish, D. Caplan, C. K. Thompson, S. Kiran, M. Betke. A machine learning approach for predicting post-stroke {A}phasia recovery: {A} pilot study. Proceedings of the 13th ACM International Conference on PErvasive Technologies Related to Assistive Environments, June 2020. pages 1-9.

Technical Reports:

Alyssa Smith, David Assefa Tofu, Mona Jalal, Edward Edberg Halim, Yimeng Sun, Vidya Akavoor, Margrit Betke, Prakash Ishwar, Lei Guo, and Derry Wijaya OpenFraming: We brought the ML; you bring the data. Interact with your data and discover its frames. August 2020. 8 pages. https://arxiv.org/abs/2008.06974

Nataniel Ruiz, Mona Jalal, Vitaly Ablavsky, Danielle Allessio, John Magee, Jacob Whitehill, Ivon Arroyo, Beverly Woolf, Stan Sclaroff, and Margrit Betke. Leveraging Affect Transfer Learning for Behavior Prediction in an Intelligent Tutoring System Authors. February 2020. 5 pages. https://arxiv.org/abs/2002.05242

Earlier Publications:


Image of Research Results
Margrit Betke, Professor
Computer Science Department
Boston University
111 Cummington Mall, Rm MCS 295B
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
Zoom: https://bostonu.zoom.us/j/6510753330
Last updated: January 2021
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