Kristen Grauman Explained

Kristen Grauman
Birth Name:Kristen Lorraine Grauman
Fields:Computer vision
Machine learning
Workplaces:University of Texas at Austin
Facebook
Intel
Lawrence Berkeley National Laboratory
Thesis Title:Matching sets of features for efficient retrieval and recognition
Thesis Year:2006
Thesis Url:http://hdl.handle.net/1721.1/38296
Doctoral Advisor:Trevor Darrell
Awards:National Science Foundation CAREER Award (2015)
Presidential Early Career Award for Scientists and Engineers (2013)
Alma Mater:Boston College (BS)
Massachusetts Institute of Technology (MS, PhD)

Kristen Lorraine Grauman is a Professor of Computer Science at the University of Texas at Austin on leave as a research scientist at Facebook AI Research (FAIR). She works on computer vision and machine learning.

Early life and education

Grauman studied computer science at Boston College, graduating summa cum laude in 2001. She joined Massachusetts Institute of Technology for her postgraduate studies, earning a Master of Science degree in 2003[1] followed by a PhD in 2006 supervised by Trevor Darrell.[2] [3] [4] During her PhD Grauman worked as a research intern at Intel and Lawrence Berkeley National Laboratory.

Career and research

In 2007 Grauman was appointed Clare Boothe Luce Assistant Professor at University of Texas at Austin.[5] Her research looks to develop algorithms that can categorise and detect objects.[6] She is interested in how computer vision can solicit information from humans.[7] [8] She was promoted to Associate Professor with tenure in 2011.[9]

She is an Alfred P. Sloan Foundation Fellow.[10] She was awarded an Office of Naval Research young investigator award in 2012.[11] In 2013 she was awarded a Pattern Analysis and Machine Intelligence (PAMI) Young Researcher Award.[12] She is working on techniques to get computers to watch and summarise videos for easy viewing.[13] The egocentric films will be used to aid the elderly and those with impaired-memories.[14] [15]

She has developed several patents for machine learning; including pyramid match kernel methods[3] and a technique to efficiently identifying images.[16]

Grauman serves as associate editor-in-chief of the IEEE Transactions on Pattern Analysis and Machine Intelligence.[17] As of May 2018, Grauman is on leave at Facebook AI Research (FAIR).[18]

Awards and honors

Her awards and honors include:

Notes and References

  1. MS. A statistical image-based shape model for visual hull reconstruction and 3D structure inference. 53225478. Massachusetts Institute of Technology. Kristen Lorraine. Grauman. 2003.
  2. PhD. Matching sets of features for efficient retrieval and recognition. 153915528. Massachusetts Institute of Technology. 1721.1/38296. Kristen Lorraine. Grauman. 2006.
  3. Book: Grauman. K.. Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1. Darrell. T.. The pyramid match kernel: discriminative classification with sets of image features. https://www.cs.utexas.edu/~grauman/papers/grauman_darrell_iccv2005.pdf. 2005. 1458–1465 Vol. 2. 10.1109/ICCV.2005.239. 978-0-7695-2334-7. 10.1.1.644.6159. 13036203.
  4. Web site: Kristen Grauman Bio. cs.utexas.edu. 2018-09-17.
  5. Web site: UTCS Welcomes New Faculty . Department of Computer Science. www.cs.utexas.edu. en. 2018-09-17.
  6. Web site: Robotics. robotics.utexas.edu. en. 2018-09-17.
  7. Web site: Robotics Seminar . Carnegie Mellon School of Computer Science. www.cs.cmu.edu. en. 2018-09-17. 2013-09-25 .
  8. News: Oct 18: Kristen Grauman: Capturing Human Insight for Large-Scale Visual Learning. 2011-10-11. Machine Learning @ Johns Hopkins University. 2018-09-17. en-US.
  9. Web site: Alumni Announcements. 2012. Boston College. 2018-09-17.
  10. Web site: Topic: Alfred P. Sloan Research Fellowship Department of Computer Science. www.cs.utexas.edu. en. 2018-09-17.
  11. Web site: Grauman Wins Young Investigator Research Award. Department of Computer Science. www.cs.utexas.edu. en. 2018-09-17.
  12. Web site: Kristen Grauman Wins 2013 PAMI Young Researcher Award . Department of Computer Science. www.cs.utexas.edu. en. 2018-09-17.
  13. News: Stop, Rewind, Summarize. Akst. Daniel. 2013-09-21. Wall Street Journal. 2018-09-17. en-US. 0099-9660.
  14. Web site: Professor continues research on video summarization technology Department of Computer Science. www.cs.utexas.edu. en. 2018-09-17.
  15. Lee. Yong Jae. Grauman. Kristen. 2015-01-07. Predicting Important Objects for Egocentric Video Summarization. International Journal of Computer Vision. 114. 1. 38–55. 10.1007/s11263-014-0794-5. 0920-5691. 1505.04803. 2015arXiv150504803L. 5617021.
  16. Web site: The Pyramid Match Grauman and Darrell. www.cs.utexas.edu. 2018-09-17.
  17. Web site: About TPAMI • IEEE Computer Society. www.computer.org. en-US. 2018-09-17.
  18. Web site: Kristen Grauman. www.cs.utexas.edu. 2018-09-17.
  19. Web site: About the IEEE Fellow Program. IEEE. 2019-12-09.
  20. Web site: Elected AAAI Fellows . 2024-01-05 . AAAI . en-US.
  21. Web site: Kristen Grauman Awarded J.K. Aggarwal Prize for Image Matching Research Department of Computer Science. www.cs.utexas.edu. en. 2018-09-17.
  22. Web site: Kristen Grauman Named to UT Austin's Academy of Distinguished Teachers Department of Computer Science. www.cs.utexas.edu. en. 2018-09-17.
  23. Web site: Kristen Grauman Wins Award for Influential Computer Vision Paper Department of Computer Science. www.cs.utexas.edu. en. 2018-09-17.
  24. Web site: NSF Award Search: Award#0747356 - CAREER: Scalable Image Search and Recognition: Learning to Efficiently Leverage Incomplete Information. www.nsf.gov. 2018-09-17.
  25. Web site: Kristen Grauman to Receive Presidential Early Career Award for Scientists and Engineers Department of Computer Science. www.cs.utexas.edu. en. 2018-09-17.
  26. Web site: Kristen Grauman Wins Major Teaching Award Department of Computer Science. www.cs.utexas.edu. en. 2018-09-17.
  27. 2011. AI's 10 to Watch. IEEE Intelligent Systems. en. 26. 1. 5–15. 10.1109/MIS.2011.7. 15754502. 1541-1672.

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