Kristen Grauman
Kristen Grauman
Professor of Computer Science, University of Texas at Austin
在 cs.utexas.edu 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
The pyramid match kernel: Discriminative classification with sets of image features
K Grauman, T Darrell
Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1 2 …, 2005
19832005
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
19442012
Relative attributes
D Parikh, K Grauman
2011 International Conference on Computer Vision, 503-510, 2011
10532011
Kernelized locality-sensitive hashing for scalable image search
B Kulis, K Grauman
2009 IEEE 12th international conference on computer vision, 2130-2137, 2009
10122009
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
7182012
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
6882009
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
6552010
Key-segments for video object segmentation
YJ Lee, J Kim, K Grauman
2011 International conference on computer vision, 1995-2002, 2011
5602011
Story-Driven Summarization for Egocentric Video
Z Lu, K Grauman
Conference on Computer Vision and Pattern Recognition (CVPR), 0
541*
Video Summarization with Long Short-term Memory
K Zhang, WL Chao, F Sha, K Grauman
Proceedings of the European Conference on Computer Vision (ECCV), 2016
4732016
The pyramid match kernel: Efficient learning with sets of features.
K Grauman, T Darrell
Journal of Machine Learning Research 8 (4), 2007
4652007
Diverse sequential subset selection for supervised video summarization
B Gong, WL Chao, K Grauman, F Sha
Advances in neural information processing systems 27, 2069-2077, 2014
3802014
Kernelized locality-sensitive hashing
B Kulis, K Grauman
IEEE Transactions on Pattern Analysis and Machine Intelligence 34 (6), 1092-1104, 2011
3802011
Learning with whom to share in multi-task feature learning
Z Kang, K Grauman, F Sha
ICML, 2011
3682011
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
3682007
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
3662011
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
3622013
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
3542012
Fine-grained visual comparisons with local learning
A Yu, K Grauman
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2014
3502014
Fast image search for learned metrics
P Jain, B Kulis, K Grauman
2008 IEEE Conference on computer vision and pattern recognition, 1-8, 2008
3442008
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