|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, 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.|
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.
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, Y. Zhang, D. Wijaya, and M. Betke. What makes gun violence a (less) prominent issue? A computational analysis of compelling arguments and selective agenda setting. Mass Communication & Society, Accepted. Forthcoming in 2021.
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: Detecting Heavily-Occluded Objects in Urban Scenes 16th European Conference on Computer Vision: ECCV'20 Online. August, 2020. https://doi.org/10.1007/978-3-030-58523-5_31, pp 530-546.
Afra Feyza Akyürek, 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 Aphasia recovery: A pilot study. Proceedings of the 13th ACM International Conference on PErvasive Technologies Related to Assistive Environments, June 2020. pages 1-9.
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