Kristen Grauman | |
---|---|
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:
- 2019 IEEE Elected Fellow[23]
- 2019 AAAI Fellow[24]
- 2018 International Association for Pattern Recognition J. K. Aggarwal Prize[25]
- 2017 University of Texas at Austin Academy of Distinguished Teachers[26]
- 2017 Helmholtz Prize[27]
- 2015 National Science Foundation CAREER Award in 2015.[28]
- 2013 IJCAI Computers and Thought Award
- 2013 Presidential Early Career Award for Scientists and Engineers[29]
- 2012 University of Texas System Regents’ Outstanding Teaching Award[30]
- 2011 IEEE Intelligent Systems AI's Ten to Watch[31]
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 (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). 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. 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. Retrieved 2018-09-17.
- ^ "Kristen Grauman". www.cs.utexas.edu. Retrieved 2018-09-17.
- ^ "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.
- ^ "AI's 10 to Watch". IEEE Intelligent Systems. 26 (1): 5–15. 2011. doi:10.1109/MIS.2011.7. ISSN 1541-1672. S2CID 15754502.