Seuraa
Kristen Grauman
Kristen Grauman
Professor of Computer Science, University of Texas at Austin
Vahvistettu sähköpostiosoite verkkotunnuksessa cs.utexas.edu - Kotisivu
Nimike
Viittaukset
Viittaukset
Vuosi
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
27192012
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
21692005
Relative attributes
D Parikh, K Grauman
2011 International Conference on Computer Vision, 503-510, 2011
12052011
Kernelized locality-sensitive hashing for scalable image search
B Kulis, K Grauman
2009 IEEE 12th international conference on computer vision, 2130-2137, 2009
11172009
Proceedings of the 32nd international conference on neural information processing systems
S Bengio, HM Wallach, H Larochelle, K Grauman, N Cesa-Bianchi
Curran Associates Inc., 2018
10932018
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
9212009
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
8752012
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
7912016
Visual object recognition
I Biederman
7271995
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
6832010
Story-Driven Summarization for Egocentric Video
Z Lu, K Grauman
Conference on Computer Vision and Pattern Recognition (CVPR), 0
613*
Key-segments for video object segmentation
YJ Lee, J Kim, K Grauman
2011 International conference on computer vision, 1995-2002, 2011
5992011
Fine-grained visual comparisons with local learning
A Yu, K Grauman
Proceedings of the IEEE conference on computer vision and pattern …, 2014
5482014
Ego4d: Around the world in 3,000 hours of egocentric video
K Grauman, A Westbury, E Byrne, Z Chavis, A Furnari, R Girdhar, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
5412022
Vizwiz grand challenge: Answering visual questions from blind people
D Gurari, Q Li, AJ Stangl, A Guo, C Lin, K Grauman, J Luo, JP Bigham
Proceedings of the IEEE conference on computer vision and pattern …, 2018
5302018
Blockdrop: Dynamic inference paths in residual networks
Z Wu, T Nagarajan, A Kumar, S Rennie, LS Davis, K Grauman, R Feris
Proceedings of the IEEE conference on computer vision and pattern …, 2018
5282018
Diverse sequential subset selection for supervised video summarization
B Gong, WL Chao, K Grauman, F Sha
Advances in neural information processing systems 27, 2014
5192014
The pyramid match kernel: Efficient learning with sets of features.
K Grauman, T Darrell
Journal of Machine Learning Research 8 (4), 2007
4992007
Spottune: transfer learning through adaptive fine-tuning
Y Guo, H Shi, A Kumar, K Grauman, T Rosing, R Feris
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019
4802019
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
4712013
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Artikkelit 1–20