Kristen Grauman

From Wikipedia, the free encyclopedia

Computer vision and machine learning researcher

Born

Kristen Lorraine Grauman

1979 (age 46–47)^[1]

AlmamaterBoston College (BS)
Massachusetts Institute of Technology (MS, PhD)

AwardsNational Science Foundation CAREER Award (2015)
Presidential Early Career Award for Scientists and Engineers (2013)

FieldsComputer vision
Machine learning^[2]

Kristen Grauman
Born	Kristen Lorraine Grauman 1979 (age 46–47)^[1]
Alma mater	Boston College (BS) Massachusetts Institute of Technology (MS, PhD)
Awards	National Science Foundation CAREER Award (2015) Presidential Early Career Award for Scientists and Engineers (2013)
Scientific career
Fields	Computer vision Machine learning^[2]
Institutions	University of Texas at Austin Facebook Intel Lawrence Berkeley National Laboratory
Thesis	Matching sets of features for efficient retrieval and recognition (2006)
Doctoral advisor	Trevor Darrell^[1]

Website	www.cs.utexas.edu/~grauman

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).^[3] She works on computer vision and machine learning.^[2]^[4]

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^[5] followed by a PhD in 2006 supervised by Trevor Darrell.^[1]^[6]^[3] 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.^[7] Her research looks to develop algorithms that can categorise and detect objects.^[8] She is interested in how computer vision can solicit information from humans.^[9]^[10] She was promoted to Associate Professor with tenure in 2011.^[11]

She is an Alfred P. Sloan Foundation Fellow.^[12] She was awarded an Office of Naval Research young investigator award in 2012.^[13] In 2013 she was awarded a Pattern Analysis and Machine Intelligence (PAMI) Young Researcher Award.^[14] She is working on techniques to get computers to watch and summarise videos for easy viewing.^[15] The egocentric films will be used to aid the elderly and those with impaired-memories.^[16]^[17]

She has developed several patents for machine learning; including pyramid match kernel methods^[6] and a technique to efficiently identifying images.^[18]^[19]^[20]

Grauman serves as associate editor-in-chief of the IEEE Transactions on Pattern Analysis and Machine Intelligence.^[21] As of May 2018, Grauman is on leave at Facebook AI Research (FAIR).^[22]

Awards and honors

Her awards and honors include:

2023 Fellow of the American Association for the Advancement of Science^[23]
2019 IEEE Elected Fellow^[24]
2019 AAAI Fellow^[25]
2018 International Association for Pattern Recognition J. K. Aggarwal Prize^[26]
2017 University of Texas at Austin Academy of Distinguished Teachers^[27]
2017 Helmholtz Prize^[28]
2015 National Science Foundation CAREER Award in 2015.^[29]
2013 IJCAI Computers and Thought Award
2013 Presidential Early Career Award for Scientists and Engineers^[30]
2012 University of Texas System Regents’ Outstanding Teaching Award^[31]
2011 IEEE Intelligent Systems AI's Ten to Watch^[32]

References

1 2 3 Grauman, Kristen Lorraine (2006). Matching sets of features for efficient retrieval and recognition (PhD thesis). Massachusetts Institute of Technology. hdl:1721.1/38296. OCLC 153915528.
1 2 Kristen Grauman publications indexed by Google Scholar
1 2 "Kristen Grauman Bio". cs.utexas.edu. Retrieved 2018-09-17.
↑ Kristen Grauman at DBLP Bibliography Server
↑ Grauman, Kristen Lorraine (2003). A statistical image-based shape model for visual hull reconstruction and 3D structure inference (MS thesis). Massachusetts Institute of Technology. OCLC 53225478.
1 2 Grauman, K.; Darrell, T. (2005). "The pyramid match kernel: discriminative classification with sets of image features" (PDF). Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1. pp. 1458–1465 Vol. 2. CiteSeerX 10.1.1.644.6159. doi:10.1109/ICCV.2005.239. ISBN 978-0-7695-2334-7. S2CID 13036203.
↑ "UTCS Welcomes New Faculty". www.cs.utexas.edu. Department of Computer Science. Retrieved 2018-09-17.
↑ "Robotics". robotics.utexas.edu. Retrieved 2018-09-17.
↑ "Robotics Seminar". www.cs.cmu.edu. Carnegie Mellon School of Computer Science. 2013-09-25. Retrieved 2018-09-17.
↑ "Oct 18: Kristen Grauman: Capturing Human Insight for Large-Scale Visual Learning". Machine Learning @ Johns Hopkins University. 2011-10-11. Archived from the original on 2022-02-24. Retrieved 2018-09-17.
↑ "Alumni Announcements" (PDF). Boston College. 2012. Retrieved 2018-09-17.
↑ "Topic: Alfred P. Sloan Research Fellowship | Department of Computer Science". www.cs.utexas.edu. Retrieved 2018-09-17.
↑ "Grauman Wins Young Investigator Research Award". www.cs.utexas.edu. Department of Computer Science. Retrieved 2018-09-17.
↑ "Kristen Grauman Wins 2013 PAMI Young Researcher Award". www.cs.utexas.edu. Department of Computer Science. Retrieved 2018-09-17.
↑ Akst, Daniel (2013-09-21). "Stop, Rewind, Summarize". Wall Street Journal. ISSN 0099-9660. Retrieved 2018-09-17.
↑ "Professor continues research on video summarization technology | Department of Computer Science". www.cs.utexas.edu. Retrieved 2018-09-17.
↑ Lee, Yong Jae; Grauman, Kristen (2015-01-07). "Predicting Important Objects for Egocentric Video Summarization". International Journal of Computer Vision. 114 (1): 38–55. arXiv:1505.04803. Bibcode:2015arXiv150504803L. doi:10.1007/s11263-014-0794-5. ISSN 0920-5691. S2CID 5617021.
↑ "The Pyramid Match Grauman and Darrell". www.cs.utexas.edu. Retrieved 2018-09-17.
↑ Efficiently identifying images, videos, songs or documents most relevant to the user using binary search trees on attributes for guiding relevance feedback, retrieved 2018-09-17
↑ Efficiently identifying images, videos, songs or documents most relevant to the user using binary search trees on attributes for guiding relevance feedback, retrieved 2018-09-17
↑ "About TPAMI • IEEE Computer Society". www.computer.org. 12 November 2008. Retrieved 2018-09-17.
↑ "Kristen Grauman". www.cs.utexas.edu. Retrieved 2018-09-17.
↑ "2023 AAAS Fellows". American Association for the Advancement of Science (AAAS). Retrieved 2025-03-06.
↑ "About the IEEE Fellow Program". IEEE. Retrieved 2019-12-09.
↑ "Elected AAAI Fellows". AAAI. Retrieved 2024-01-05.
↑ "Kristen Grauman Awarded J.K. Aggarwal Prize for Image Matching Research | Department of Computer Science". www.cs.utexas.edu. Retrieved 2018-09-17.
↑ "Kristen Grauman Named to UT Austin's Academy of Distinguished Teachers | Department of Computer Science". www.cs.utexas.edu. Retrieved 2018-09-17.
↑ "Kristen Grauman Wins Award for Influential Computer Vision Paper | Department of Computer Science". www.cs.utexas.edu. Retrieved 2018-09-17.
↑ "NSF Award Search: Award#0747356 - CAREER: Scalable Image Search and Recognition: Learning to Efficiently Leverage Incomplete Information". www.nsf.gov. Retrieved 2018-09-17.
↑ "Kristen Grauman to Receive Presidential Early Career Award for Scientists and Engineers | Department of Computer Science". www.cs.utexas.edu. Retrieved 2018-09-17.
↑ "Kristen Grauman Wins Major Teaching Award | Department of Computer Science". www.cs.utexas.edu. Retrieved 2018-09-17.
↑ Wang, Fei-Yue (2011). "AI's 10 to Watch". IEEE Intelligent Systems. 26 (1): 5–15. Bibcode:2011IISys..26a...5W. doi:10.1109/MIS.2011.7. ISSN 1541-1672. S2CID 15754502.

Authority control databases
International	ISNI VIAF WorldCat
National	United States
Academics	CiNii Mathematics Genealogy Project Association for Computing Machinery Google Scholar DBLP MathSciNet
Other	IdRef

Awards and honors

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