Publication list: by
year [by
topic] [with
images/code/pdfs]
2009
Fast
Similarity Search for Learned Metrics.
B. Kulis, P. Jain, and K. Grauman.
In IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), December, 2009.
Kernelized
Locality-Sensitive Hashing for Scalable Image Search. B. Kulis and K. Grauman. In Proceedings of the IEEE International
Conference on Computer Vision (ICCV),
Kyoto, Japan, October, 2009.
Foreground
Focus: Unsupervised Learning from Partially Matching Images. Y. J. Lee and K. Grauman. In International
Journal of Computer Vision (IJCV), Vol. 85, No. 2, 2009.
Gaussian
Processes for Object Categorization. A.
Kapoor, K. Grauman, R. Urtasun, and T. Darrell.
To appear, International Journal
of Computer Vision (IJCV), 2009.
Efficiently Searching for Similar Images. K. Grauman.
Invited article to appear in the Communications
of the ACM, 2009.
What’s It Going to Cost You?: Predicting Effort vs.
Informativeness for Multi-Label Image Annotations. S. Vijayanarasimhan and K. Grauman. In Proceedings
of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Miami,
FL, June 2009.
Shape Discovery from Unlabeled Image
Collections. Y. J. Lee and K.
Grauman. In Proceedings of the IEEE Conference on Computer Vision and Pattern
Recognition (CVPR), Miami, FL, June 2009.
Observe Locally, Infer Globally: a Space-Time MRF
for Detecting Abnormal Activities with Incremental Updates. J. Kim and K. Grauman. In Proceedings
of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR),
Miami, FL, June 2009.
2008
Multi-Level Active Prediction of Useful Image
Annotations for Recognition. S.
Vijayanarasimhan and K. Grauman. In Advances in Neural Information Processing
Systems (NIPS), Vancouver, Canada, December 2008.
Online Metric Learning and Fast Similarity
Search. P. Jain, B. Kulis,
Fast Image Search for Learned Metrics. P. Jain, B. Kulis, and K. Grauman. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Anchorage, Alaska, June 2008. [Best Student Paper Award]
Keywords
to Visual Categories: Multiple-Instance Learning for Weakly Supervised Object
Categorization. S. Vijayanarasimhan and
K. Grauman. In Proceedings of the IEEE Conference on Computer Vision and Pattern
Recognition (CVPR), Anchorage, Alaska, June 2008.
Foreground Focus: Finding Meaningful Features in Unlabeled Images. Y.
J. Lee and K. Grauman. In Proceedings
of the British Machine Vision Conference (BMVC), Leeds, U.K., September
2008.
Watch, Listen & Learn: Co-training on
Captioned Images and Videos. S. Gupta,
J. Kim, K. Grauman, and R. Mooney. In Proceedings
of the European Conference on Machine Learning and Principles and Practice of
Knowledge Discovery in Databases (ECML), Antwerp, Belgium, September
2008.
2007
Pyramid
Match Hashing: Sub-Linear Time Indexing Over Partial Correspondences. K. Grauman and T. Darrell. In Proceedings
of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR),
Minneapolis, MN, June 2007.
Approximate Correspondences in High Dimensions. K. Grauman and T. Darrell. In Advances in Neural Information Processing Systems 19 (NIPS) 2007.
The Pyramid Match: Efficient Learning with Partial Correspondences. K. Grauman. In Proceedings of the Association for the Advancement of Artificial Intelligence (AAAI), Nectar track, Vancouver, Canada, July 2007.
The Pyramid Match Kernel: Efficient Learning with Sets of Features. K. Grauman and T. Darrell. Journal of Machine Learning Research (JMLR), 8 (Apr): 725--760, 2007.
2006
Unsupervised Learning of Categories from Sets of Partially Matching Image Features. K. Grauman and T. Darrell. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), New York City, NY, June 2006.
2005
The Pyramid
Match Kernel: Discriminative Classification with Sets of Image Features. K. Grauman and T. Darrell. In Proceedings
of the IEEE International Conference on Computer Vision (ICCV), Beijing, China, October 2005.
Avoiding the
``Streetlight Effect'': Tracking by Exploring Likelihood Modes. D. Demirdjian, L. Taycher, G. Shakhnarovich,
K. Grauman, and T. Darrell. In Proceedings
of the IEEE International Conference on Computer Vision (ICCV), Beijing, China, October
2005.
Efficient Image Matching with Distributions of Local Invariant Features. K. Grauman and T. Darrell. In Proceedings IEEE Conference on Computer Vision and Pattern Recognition (CVPR), San Diego, CA, June 2005.
2004
Fast Contour
Matching Using Approximate Earth Mover's Distance. K. Grauman
and T. Darrell. In Proceedings of the
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Washington DC, June 2004.
Virtual Visual Hulls: Example-Based 3D Shape Inference from a Single Silhouette. K. Grauman, G. Shakhnarovich, and T. Darrell. In Proceedings of the 2nd Workshop on Statistical Methods in Video Processing, in conjunction with ECCV, Prague, Czech Republic, May 2004.
2003
Inferring 3D
Structure with a Statistical Image-Based Shape Model. K.
Grauman, G. Shakhnarovich, and T. Darrell. In Proceedings of the IEEE
International Conference on Computer Vision (ICCV), Nice, France, October 2003.
A
Statistical Image-Based Shape Model for Visual Hull Reconstruction and 3D
Structure Inference. K. Grauman. Master's thesis, Massachusetts Institute
of Technology, Department of Electrical Engineering and Computer Science, May
2003. MIT AI Tech Report, AITR-2003-007.
A Bayesian
Approach to Image-Based Visual Hull Reconstruction. K. Grauman, G. Shakhnarovich, and T.
Darrell. In Proceedings of the IEEE
Conference on Computer Vision and Pattern Recognition (CVPR), Madison, WI, June
2003.
Communication via Eye Blinks and Eyebrow Raises: Video-Based Human-Computer Interfaces. K. Grauman, M. Betke, J. Lombardi, J. Gips, and G. Bradski. Universal Access in the Information Society, 2(4) pp. 359-373, Springer-Verlag Heidelberg, November 2003.
2001
Communication
via Eye Blinks: Detection and Duration Analysis in Real Time. K. Grauman, M. Betke, J. Gips, and G.
Bradski. In Proceedings of the IEEE Conference on Computer Vision and
Pattern Recognition (CVPR),
Lihue, HI, December 2001.