Publication
list
Multi-Level Active Prediction of Useful Image Annotations
for Recognition. S. Vijayanarasimhan and K. Grauman. To appear, Advances in Neural Information Processing Systems (NIPS),
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),
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),
Foreground
Focus: Finding Meaningful Features in Unlabeled Images. Y. J. Lee and K.
Grauman. In Proceedings of the
British Machine Vision Conference (BMVC),
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),
Active Learning with Gaussian Processes for Object Categorization.
A. Kapoor, K. Grauman, R. Urtasun,
and T. Darrell. In Proceedings of the IEEE International Conference on Computer Vision,
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),
Approximate
Correspondences in High Dimensions. K.
Grauman and T. Darrell. In Advances in Neural Information Processing Systems 19 (NIPS)
2007. [ps] [pdf] [code] [poster (pdf)] [poster (ppt)]
The Pyramid
Match: Efficient Learning with Partial Correspondences. K. Grauman.
In Proceedings of the Association
for the Advancement of Artificial Intelligence (AAAI), Nectar track,
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. [pdf] [project page] [code]
K. Grauman. Matching Sets of Features for Efficient Retrieval and Recognition, Ph.D. Thesis, MIT, 2006. [pdf] (35.8 MB)
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),
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),
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),
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),
A Picture is Worth a
Thousand Keywords: Image-Based Object Search on a Mobile Platform. T. Yeh, K. Grauman, K. Tollmar, and
T. Darrell. In CHI 2005, Conference on Human Factors in
Computing Systems,
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),
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. [pdf] [SpringerLink]
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,
K. Grauman. A Statistical Image-Based Shape Model for Visual
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),
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
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),