Kristen Grauman: Difference between revisions
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| thesis_year = 2006 |
| thesis_year = 2006 |
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| thesis_url = http://hdl.handle.net/1721.1/38296 |
| thesis_url = http://hdl.handle.net/1721.1/38296 |
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| doctoral_advisor = Trevor Darrell<ref name=phd/> |
| doctoral_advisor = {{ill|Trevor Darrell|WD=Q56678928}}<ref name=phd/> |
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| awards = [[National Science Foundation CAREER Awards|National Science Foundation CAREER Award]] (2015)<br>[[Presidential Early Career Award for Scientists and Engineers]] (2013) |
| awards = [[National Science Foundation CAREER Awards|National Science Foundation CAREER Award]] (2015)<br>[[Presidential Early Career Award for Scientists and Engineers]] (2013) |
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| alma_mater = [[Boston College]] (BS)<br>[[Massachusetts Institute of Technology]] (MS, PhD) |
| alma_mater = [[Boston College]] (BS)<br>[[Massachusetts Institute of Technology]] (MS, PhD) |
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== Early life and education == |
== Early life and education == |
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Grauman |
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<ref name=msc>{{cite thesis|degree=MS|title=A statistical image-based shape model for visual hull reconstruction and 3D structure inference|oclc=53225478|publisher=Massachusetts Institute of Technology|first=Kristen Lorraine|last=Grauman|year=2003}}</ref> followed by a [[PhD]] in 2006 supervised by {{ill|Trevor Darrell|WD=Q56678928}}.<ref name=phd>{{cite thesis|degree=PhD|title=Matching sets of features for efficient retrieval and recognition|url=http://dspace.mit.edu/handle/1721.1/38296|website=mit.edu|oclc=153915528|publisher=Massachusetts Institute of Technology|hdl=1721.1/38296|website=mit.edu|first=Kristen Lorraine|last=Grauman|year=2006}} {{free access}}</ref><ref name=pyramid>{{cite journal|last1=Grauman|first1=K.|last2=Darrell|first2=T.|title=The pyramid match kernel: discriminative classification with sets of image features|url=https://www.cs.utexas.edu/~grauman/papers/grauman_darrell_iccv2005.pdf|year=2005|pages=1458–1465 Vol. 2|doi=10.1109/ICCV.2005.239}}</ref><ref name=texas>{{Cite web|url=http://www.cs.utexas.edu/~grauman/bio.html|title=Kristen Grauman Bio|website=cs.utexas.edu|access-date=2018-09-17}}</ref> During her PhD Grauman worked as a research intern at [[Intel]] and [[Lawrence Berkeley National Laboratory]]. |
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== Career and research== |
== Career and research== |
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In 2007 Grauman was appointed Clare Boothe Luce Assistant Professor at [[University of Texas at Austin]].<ref>{{Cite web|url=https://www.cs.utexas.edu/news/2006/utcs-welcomes-new-faculty|title=UTCS Welcomes New Faculty |publisher= Department of Computer Science|website=www.cs.utexas.edu|language=en|access-date=2018-09-17}}</ref> Her research looks to develop algorithms that can categorise and detect objects.<ref>{{Cite web|url=https://robotics.utexas.edu/kristen-grauman|title=Robotics|website=robotics.utexas.edu|language=en|access-date=2018-09-17}}</ref> She is interested in how [[computer vision]] can solicit information from humans.<ref>{{Cite web|url=https://www.cs.cmu.edu/calendar/robotics-seminar-117|title=Robotics Seminar |publisher= Carnegie Mellon School of Computer Science|website=www.cs.cmu.edu|language=en|access-date=2018-09-17}}</ref><ref>{{Cite news|url=https://ml.jhu.edu/2011/10/oct-18-kristen-grauman-capturing-human-insight-for-large-scale-visual-learning/|title=Oct 18: Kristen Grauman: Capturing Human Insight for Large-Scale Visual Learning|date=2011-10-11|work=Machine Learning @ Johns Hopkins University|access-date=2018-09-17|language=en-US}}</ref> She was promoted to Associate Professor with tenure in 2011.<ref>{{Cite web|url=https://www.bc.edu/content/dam/files/centers/psp/pdf/ExLibris%2005.12S.pdf|title=Alumni Announcements|last=|first=|date=2012|website=Boston College|archive-url=|archive-date=|dead-url=|access-date=2018-09-17}}</ref> |
In 2007 Grauman was appointed Clare Boothe Luce Assistant Professor at [[University of Texas at Austin]].<ref>{{Cite web|url=https://www.cs.utexas.edu/news/2006/utcs-welcomes-new-faculty|title=UTCS Welcomes New Faculty |publisher= Department of Computer Science|website=www.cs.utexas.edu|language=en|access-date=2018-09-17}}</ref> Her research looks to develop algorithms that can categorise and detect objects.<ref>{{Cite web|url=https://robotics.utexas.edu/kristen-grauman|title=Robotics|website=robotics.utexas.edu|language=en|access-date=2018-09-17}}</ref> She is interested in how [[computer vision]] can solicit information from humans.<ref>{{Cite web|url=https://www.cs.cmu.edu/calendar/robotics-seminar-117|title=Robotics Seminar |publisher= Carnegie Mellon School of Computer Science|website=www.cs.cmu.edu|language=en|access-date=2018-09-17}}</ref><ref>{{Cite news|url=https://ml.jhu.edu/2011/10/oct-18-kristen-grauman-capturing-human-insight-for-large-scale-visual-learning/|title=Oct 18: Kristen Grauman: Capturing Human Insight for Large-Scale Visual Learning|date=2011-10-11|work=Machine Learning @ Johns Hopkins University|access-date=2018-09-17|language=en-US}}</ref> She was promoted to Associate Professor with tenure in 2011.<ref>{{Cite web|url=https://www.bc.edu/content/dam/files/centers/psp/pdf/ExLibris%2005.12S.pdf|title=Alumni Announcements|last=|first=|date=2012|website=Boston College|archive-url=|archive-date=|dead-url=|access-date=2018-09-17}}</ref> |
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She is an [[Alfred P. Sloan Foundation]] Fellow.<ref>{{Cite web|url=https://www.cs.utexas.edu/news-tags/alfred-p-sloan-research-fellowship|title=Topic: Alfred P. Sloan Research Fellowship {{!}} Department of Computer Science|website=www.cs.utexas.edu|language=en|access-date=2018-09-17}}</ref> She was awarded an [[Office of Naval Research]] |
She is an [[Alfred P. Sloan Foundation]] Fellow.<ref>{{Cite web|url=https://www.cs.utexas.edu/news-tags/alfred-p-sloan-research-fellowship|title=Topic: Alfred P. Sloan Research Fellowship {{!}} Department of Computer Science|website=www.cs.utexas.edu|language=en|access-date=2018-09-17}}</ref> She was awarded an [[Office of Naval Research]] young investigator award in 2012.<ref>{{Cite web|url=https://www.cs.utexas.edu/news/2012/grauman-wins-young-investigator-research-award|title=Grauman Wins Young Investigator Research Award|publisher= Department of Computer Science|website=www.cs.utexas.edu|language=en|access-date=2018-09-17}}</ref> In 2013 she was awarded a Pattern Analysis and Machine Intelligence (PAMI) Young Researcher Award.<ref>{{Cite web|url=https://www.cs.utexas.edu/news/2013/kristen-grauman-wins-2013-pami-young-researcher-award|title=Kristen Grauman Wins 2013 PAMI Young Researcher Award |publisher= Department of Computer Science|website=www.cs.utexas.edu|language=en|access-date=2018-09-17}}</ref> She is working on techniques to get computers to watch and summarise videos for easy viewing.<ref>{{Cite news|url=https://www.wsj.com/articles/stop-rewind-summarize-1379724728|title=Stop, Rewind, Summarize|last=Akst|first=Daniel|date=2013-09-21|work=Wall Street Journal|access-date=2018-09-17|language=en-US|issn=0099-9660}}</ref> The egocentric films will be used to aid the elderly and those with impaired-memories.<ref>{{Cite web|url=https://www.cs.utexas.edu/news/2013/professor-continues-research-video-summarization-technology|title=Professor continues research on video summarization technology {{!}} Department of Computer Science|website=www.cs.utexas.edu|language=en|access-date=2018-09-17}}</ref><ref>{{Cite journal|last=Lee|first=Yong Jae|last2=Grauman|first2=Kristen|date=2015-01-07|title=Predicting Important Objects for Egocentric Video Summarization|journal=International Journal of Computer Vision|volume=114|issue=1|pages=38–55|doi=10.1007/s11263-014-0794-5|issn=0920-5691}}</ref> |
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She has developed several patents for machine learning; including |
She has developed several patents for machine learning; including pyramid match [[kernel method]]s<ref name=pyramid/> and a technique to efficiently identifying images.<ref>{{Cite web|url=http://www.cs.utexas.edu/~grauman/research/projects/pmk/pmk_projectpage.htm|title=The Pyramid Match Grauman and Darrell|website=www.cs.utexas.edu|access-date=2018-09-17}}</ref><ref>{{Citation|last=|first=|title=Efficiently identifying images, videos, songs or documents most relevant to the user using binary search trees on attributes for guiding relevance feedback|url=https://patents.google.com/patent/US9176993B2/en|volume=|pages=|access-date=2018-09-17}}</ref><ref>{{Citation|last=|first=|title=Efficiently identifying images, videos, songs or documents most relevant to the user using binary search trees on attributes for guiding relevance feedback|url=https://patents.google.com/patent/US20140188901A1/en|volume=|pages=|access-date=2018-09-17}}</ref> |
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Grauman serves as associate [[ |
Grauman serves as associate [[editor-in-chief]] of the ''[[IEEE Transactions on Pattern Analysis and Machine Intelligence]]''.<ref>{{Cite web|url=https://www.computer.org/web/tpami/about|title=About TPAMI • IEEE Computer Society|website=www.computer.org|language=en-US|access-date=2018-09-17}}</ref> As of May 2018, Grauman is on leave at [[Facebook]] AI Research (FAIR).<ref>{{Cite web|url=http://www.cs.utexas.edu/users/grauman/|title=Kristen Grauman|website=www.cs.utexas.edu|access-date=2018-09-17}}</ref> |
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=== Awards and honors === |
=== Awards and honors === |
Revision as of 06:39, 21 September 2018
Kristen Grauman | |
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Born | Kristen Lorraine Grauman 1979 (age 44–45)[2] |
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[1] |
Institutions | University of Texas at Austin Intel Lawrence Berkeley National Laboratory |
Thesis | Matching sets of features for efficient retrieval and recognition (2006) |
Doctoral advisor | Trevor Darrell[2] |
Website | www |
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.[1][4]
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[5] followed by a PhD in 2006 supervised by Trevor Darrell.[2][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:
- 2018 International Association for Pattern Recognition J. K. Aggarwal Prize[23]
- 2017 University of Texas at Austin Academy of Distinguished Teachers[24]
- 2017 Helmholtz Prize[25]
- 2015 National Science Foundation CAREER Award in 2015.[26]
- 2013 Presidential Early Career Award for Scientists and Engineers[27]
- 2012 University of Texas System Regents’ Outstanding Teaching Award[28]
- 2011 IEEE Intelligent Systems AI’s Ten to Watch[29]
References
- ^ a b Kristen Grauman publications indexed by Google Scholar
- ^ a b c Grauman, Kristen Lorraine (2006). Matching sets of features for efficient retrieval and recognition. mit.edu (PhD thesis). Massachusetts Institute of Technology. hdl:1721.1/38296. OCLC 153915528.
- ^ a b "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.
- ^ a b Grauman, K.; Darrell, T. (2005). "The pyramid match kernel: discriminative classification with sets of image features" (PDF): 1458–1465 Vol. 2. doi:10.1109/ICCV.2005.239.
{{cite journal}}
: Cite journal requires|journal=
(help) - ^ "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. Retrieved 2018-09-17.
- ^ "Oct 18: Kristen Grauman: Capturing Human Insight for Large-Scale Visual Learning". Machine Learning @ Johns Hopkins University. 2011-10-11. Retrieved 2018-09-17.
- ^ "Alumni Announcements" (PDF). Boston College. 2012. Retrieved 2018-09-17.
{{cite web}}
: Cite has empty unknown parameter:|dead-url=
(help) - ^ "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. doi:10.1007/s11263-014-0794-5. ISSN 0920-5691.
- ^ "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. Retrieved 2018-09-17.
- ^ "Kristen Grauman". www.cs.utexas.edu. Retrieved 2018-09-17.
- ^ "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.
- ^ "AI's 10 to Watch". IEEE Intelligent Systems. 26 (1): 5–15. 2011. doi:10.1109/MIS.2011.7. ISSN 1541-1672.
- Women computer scientists
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