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

Posted 2020-06-09

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