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Computer vision and machine learning researcher From Wikipedia, the free encyclopedia
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]
Kristen Grauman | |
---|---|
Born | Kristen Lorraine Grauman 1979 (age 44–45)[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 Intel Lawrence Berkeley National Laboratory |
Thesis | Matching sets of features for efficient retrieval and recognition (2006) |
Doctoral advisor | Trevor Darrell[1] |
Website | www |
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.
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]
Her awards and honors include:
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