UT-Austin大学在Image search and large-scale retrieval方面的一系列papers

WhittleSearch: Interactive Image Search with Relative Attribute Feedback.  A. Kovashka, D. Parikh, and K. Grauman.  International Journal on Computer Vision (IJCV), Volume 115, Issue 2, pp 185-210, November 2015.  [link]  [arxiv]

Attribute Pivots for Guiding Relevance Feedback in Image Search.  A. Kovashka and K. Grauman.  In Proceedings of the IEEE International Conference on Computer Vision (ICCV), Sydney, Australia, December 2013.  [pdf] [patent pending]

Attribute
Adaptation for Personalized Image Search.  A. Kovashka and K. Grauman.
 In Proceedings of the IEEE International Conference on Computer Vision
(ICCV), Sydney, Australia, December 2013.  [pdf]

Implied
Feedback: Learning Nuances of User Behavior in Image Search.  D. Parikh
and K. Grauman.  In Proceedings of the IEEE International Conference on
Computer Vision (ICCV), Sydney, Australia, December 2013.  [pdf]

WhittleSearch: Image Search with Relative Attribute Feedback. A. Kovashka, D. Parikh, and K. Grauman.  In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Providence, RI, June 2012.  [pdf]  [supp]  [patent pending]

Learning Binary Hash Codes for Large-Scale Image Search.  K. Grauman and R. Fergus.  Book chapter, in Machine Learning for Computer Vision,
Ed., R. Cipolla, S. Battiato, and G. Farinella, Studies in
Computational Intelligence Series, Springer, Volume 411, pp. 49-87, 2013
[pdf] [link]
 
Efficient Region Search for Object Detection.  S. Vijayanarasimhan and K. Grauman.  In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Colorado Springs, CO, June 2011.  [pdf]

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. [pdf]

Kernelized Locality-Sensitive Hashing.  B. Kulis and K. Grauman.  IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI),Vol. 34, No. 6, June 2012.  [link]

Learning Binary Hash Codes for Large-Scale Image Search.  K. Grauman and R. Fergus.  Book chapter, in Machine Learning for Computer Vision,
Ed., R. Cipolla, S. Battiato, and G. Farinella, Studies in
Computational Intelligence Series, Springer, Volume 411, pp. 49-87, 2013
[pdf] [link]

Hashing
Hyperplane Queries to Near Points with Applications to Large-Scale
Active Learning.  P. Jain, S. Vijayanarasimhan, and K. Grauman.  In
Advances in Neural Information Processing Systems (NIPS), Vancouver,
Canada, December 2010.  [pdf]

Hashing
Hyperplane Queries to Near Points with Applications to Large-Scale
Active Learning.  S. Vijayanarasimhan, P. Jain, and K. Grauman. 
Transactions on Pattern Analysis and Machine Intelligence (PAMI), Volume
36, No. 2, pp. 276-288, February 2014.

Fast
Similarity Search for Learned Metrics.   B. Kulis, P. Jain, and K.
Grauman.   In IEEE Transactions on Pattern Analysis and Machine
Intelligence (TPAMI), Vol. 31, No. 12, December, 2009. [link]

Accounting
for the Relative Importance of Objects in Image Retrieval.  S. J. Hwang
and K. Grauman.  In Proceedings of the British Machine Vision
Conference (BMVC), Aberystwyth, UK, September 2010. (Oral) [pdf]

Learning
the Relative Importance of Objects from Tagged Images for Retrieval and
Cross-Modal Search.  S. J. Hwang and K. Grauman.  International Journal
of Computer Vision (IJCV), published online October 2011.  [link]

Efficiently Searching for Similar Images.  K. Grauman.  Invited article in the Communications of the ACM, 2009.  [pdf]

Online
Metric Learning and Fast Similarity Search.  P. Jain, B. Kulis,
I. Dhillon, and K. Grauman.  In Advances in Neural Information
Processing Systems (NIPS), Vancouver, Canada, December 2008.  (Oral) [pdf]

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.  (Oral) [Best
Student Paper Award]    [pdf]

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.  [pdf]

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, Portland, OR, April 2005.  [pdf]

from: http://www.cs.utexas.edu/~grauman/research/pubs-by-topic.html#Fast_similarity_search_and_image