Kristen Grauman
Kristen Grauman
Professor of Computer Science, University of Texas at Austin
Verified email at cs.utexas.edu - Homepage
TitleCited byYear
Pyramid match kernels: Discriminative classification with sets of image features (version 2)
K Grauman, T Darrell
17222006
Geodesic flow kernel for unsupervised domain adaptation
B Gong, Y Shi, F Sha, K Grauman
2012 IEEE Conference on Computer Vision and Pattern Recognition, 2066-2073, 2012
10252012
Kernelized locality-sensitive hashing for scalable image search.
B Kulis, K Grauman
ICCV 9, 2130-2137, 2009
7892009
Relative attributes
D Parikh, K Grauman
2011 International Conference on Computer Vision, 503-510, 2011
7882011
Learning a hierarchy of discriminative space-time neighborhood features for human action recognition
A Kovashka, K Grauman
2010 IEEE computer society conference on computer vision and pattern …, 2010
5532010
Discovering important people and objects for egocentric video summarization
YJ Lee, J Ghosh, K Grauman
2012 IEEE Conference on Computer Vision and Pattern Recognition, 1346-1353, 2012
4652012
Observe locally, infer globally: a space-time MRF for detecting abnormal activities with incremental updates
J Kim, K Grauman
2009 IEEE Conference on Computer Vision and Pattern Recognition, 2921-2928, 2009
4562009
Key-segments for video object segmentation
YJ Lee, J Kim, K Grauman
2011 International conference on computer vision, 1995-2002, 2011
4142011
The pyramid match kernel: Efficient learning with sets of features
K Grauman, T Darrell
Journal of Machine Learning Research 8 (Apr), 725-760, 2007
3952007
Story-Driven Summarization for Egocentric Video
Z Lu, K Grauman
Conference on Computer Vision and Pattern Recognition (CVPR), 0
374*
Kernelized locality-sensitive hashing
B Kulis, K Grauman
IEEE Transactions on Pattern Analysis and Machine Intelligence 34 (6), 1092-1104, 2011
2972011
Connecting the dots with landmarks: Discriminatively learning domain-invariant features for unsupervised domain adaptation
B Gong, K Grauman, F Sha
International Conference on Machine Learning, 222-230, 2013
2962013
Fast image search for learned metrics
P Jain, B Kulis, K Grauman
2008 IEEE Conference on computer vision and pattern recognition, 1-8, 2008
2912008
Active learning with gaussian processes for object categorization
A Kapoor, K Grauman, R Urtasun, T Darrell
2007 IEEE 11th International Conference on Computer Vision, 1-8, 2007
2812007
Large-Scale Live Active Learning: Training Object Detectors with Crawled Data and Crowds
S Vijayanarasimhan, K Grauman
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2011
2622011
Discovering localized attributes for fine-grained recognition
K Duan, D Parikh, D Crandall, K Grauman
2012 IEEE Conference on Computer Vision and Pattern Recognition, 3474-3481, 2012
2602012
Fast similarity search for learned metrics
B Kulis, P Jain, K Grauman
IEEE Transactions on Pattern Analysis and Machine Intelligence 31 (12), 2143 …, 2009
2582009
Fast contour matching using approximate earth mover's distance
K Grauman, T Darrell
Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision …, 2004
2562004
Whittlesearch: Image search with relative attribute feedback
A Kovashka, D Parikh, K Grauman
2012 IEEE Conference on Computer Vision and Pattern Recognition, 2973-2980, 2012
2552012
Learning with Whom to Share in Multi-task Feature Learning.
Z Kang, K Grauman, F Sha
ICML 2 (3), 4, 2011
2532011
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Articles 1–20