Google Publications

•    

  Discriminative Segment Annotation in Weakly Labeled Video

  Kevin Tang, Rahul Sukthankar, Jay Yagnik, Li Fei-Fei

  Proceedings of International Conference on Computer Vision and Pattern Recognition (CVPR 2013)

•    

  Fast, Accurate Detection of 100,000 Object Classes on a Single Machine

  Thomas Dean, Mark Ruzon, Mark Segal, Jon Shlens, Sudheendra Vijayanarasimhan, Jay Yagnik

  Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, IEEE Computer Society, Washington, DC, USA (2013)

•    

  Fast, Accurate Detection of 100,000 Object Classes on a Single Machine: Technical Supplement

  Thomas Dean, Mark Ruzon, Mark Segal, Jon Shlens, Sudheendra Vijayanarasimhan, Jay Yagnik

  Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, IEEE Computer Society, Washington, DC, USA (2013)

•    

  The Power of Comparative Reasoning

  Jay Yagnik, Dennis Strelow, David Ross, Ruei-Sung Lin

  International Conference on Computer Vision, IEEE (2011)

•   

  A Large-Scale Taxonomic Classification System for Web-based Videos

  Yang Song, Ming Zhao, Reto Strobl, John Zhang, Jay Yagnik

  the 11th European Conference on Computer Vision (ECCV 2010)

•    

  Finding Meaning on YouTube: Tag Recommendation and Category Discovery

  George Toderici, Hrishikesh Aradhye, Marius Pasca, Luciano Sbaiz, Jay Yagnik

  Computer Vision and Pattern Recognition, IEEE (2010)

•   

  SPEC Hashing: Similarity Preserving algorithm for Entropy-based Coding

  Ruei-Sung Lin, David A. Ross, Jay Yagnik

  IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2010)

•   

  Taxonomic Classification for Web-based Videos

  Yang Song, Ming Zhao, Jay Yagnik, Xiaoyun Wu

  IEEE Conf on Computer Vision and Pattern Recognition (CVPR), IEEE (2010)

•   

  Adaptive, selective, automatic tonal enhancement of faces

  Hrishikesh Aradhye, George D. Toderici, Jay Yagnik

  ACM Multimedia, ACM, New York, NY, USA (2009), pp. 677-680

•    

  Automatic, Efficient, Temporally-Coherent Video Enhancement for Large Scale Applications

  George Toderici, Jay Yagnik

  ACM Multimedia, ACM (2009), pp. 609-612

•   

  Tour the world: a technical demonstration of a web-scale landmark recognition engine

  Yan-Tao Zheng, Ming Zhao, Yang Song, Hartwig Adam, Ulrich Buddemeier, Alessandro Bissacco, Fernando Brucher, Tat-Seng Chua, Hartmut Neven, Jay Yagnik

  MM '09: Proceedings of the seventeen ACM international conference on Multimedia, ACM, New York, NY, USA (2009), pp. 961-962

•    

  Video2Text: Learning to Annotate Video Content

  Hrishikesh Aradhye, George Toderici, Jay Yagnik

  ICDM Workshop on Internet Multimedia Mining (2009)

•  

  Large Scale Learning and Recognition of Faces in Web Videos

  Ming Zhao, Jay Yagnik, Hartwig Adam, David Bau

  FG2008

•   

  Solving the label resolution problem in supervised video content classification

  Ullas Gargi, Jay Yagnik

  MIR '08: Proceeding of the 1st ACM international conference on Multimedia information retrieval, ACM, New York, NY, USA (2008), pp. 276-282

•   

  Video Suggestion and Discovery for YouTube: Taking Random Walks Through the View Graph

  Shumeet Baluja, Rohan Seth, D. Sivakumar, Yushi Jing, Jay Yagnik, Shankar Kumar, Deepak Ravichandran, Mohamed Aly

  WWW-2008

•   

  Learning people annotation from the web via consistency learning

  Jay Yagnik, Atig Islam

  Proc. international Workshop on Multimedia Information Retrieval, ACM, Augsberg, Germany (2007), pp. 285-290