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Jay Yagnik
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2010 – 2019
- 2018
- [i1]Victor Carbune, Thierry Coppey, Alexander N. Daryin, Thomas Deselaers, Nikhil Sarda, Jay Yagnik:
Predicted Variables in Programming. CoRR abs/1810.00619 (2018) - 2015
- [c17]Sudheendra Vijayanarasimhan, Jonathon Shlens, Rajat Monga, Jay Yagnik:
Deep Networks With Large Output Spaces. ICLR (Workshop) 2015 - 2013
- [c16]Thomas L. Dean, Mark A. Ruzon, Mark Segal, Jonathon Shlens, Sudheendra Vijayanarasimhan, Jay Yagnik:
Fast, Accurate Detection of 100, 000 Object Classes on a Single Machine. CVPR 2013: 1814-1821 - [c15]Kevin D. Tang, Rahul Sukthankar, Jay Yagnik, Li Fei-Fei:
Discriminative Segment Annotation in Weakly Labeled Video. CVPR 2013: 2483-2490 - 2011
- [c14]Jay Yagnik, Dennis Strelow, David A. Ross, Ruei-Sung Lin:
The power of comparative reasoning. ICCV 2011: 2431-2438 - 2010
- [c13]Ruei-Sung Lin, David A. Ross, Jay Yagnik:
SPEC hashing: Similarity preserving algorithm for entropy-based coding. CVPR 2010: 848-854 - [c12]Yang Song, Ming Zhao, Jay Yagnik, Xiaoyun Wu:
Taxonomic classification for web-based videos. CVPR 2010: 871-878 - [c11]George Toderici, Hrishikesh B. Aradhye, Marius Pasca, Luciano Sbaiz, Jay Yagnik:
Finding meaning on YouTube: Tag recommendation and category discovery. CVPR 2010: 3447-3454
2000 – 2009
- 2009
- [c10]Hrishikesh B. Aradhye, George Toderici, Jay Yagnik:
Video2Text: Learning to Annotate Video Content. ICDM Workshops 2009: 144-151 - [c9]George Toderici, Jay Yagnik:
Automatic, efficient, temporally-coherent video enhancement for large scale applications. ACM Multimedia 2009: 609-612 - [c8]Hrishikesh B. Aradhye, George Toderici, Jay Yagnik:
Adaptive, selective, automatic tonal enhancement of faces. ACM Multimedia 2009: 677-680 - [c7]Yantao Zheng, Ming Zhao, Yang Song, Hartwig Adam, Ulrich Buddemeier, Alessandro Bissacco, Fernando Brucher, Tat-Seng Chua, Hartmut Neven, Jay Yagnik:
Tour the world: a technical demonstration of a web-scale landmark recognition engine. ACM Multimedia 2009: 961-962 - 2008
- [c6]Ming Zhao, Jay Yagnik, Hartwig Adam, David Bau
:
Large scale learning and recognition of faces in web videos. FG 2008: 1-7 - [c5]Ullas Gargi, Jay Yagnik:
Solving the label resolution problem in supervised video content classification. Multimedia Information Retrieval 2008: 276-282 - [c4]Shumeet Baluja, Rohan Seth, D. Sivakumar, Yushi Jing, Jay Yagnik, Shankar Kumar, Deepak Ravichandran, Mohamed Aly:
Video suggestion and discovery for youtube: taking random walks through the view graph. WWW 2008: 895-904 - 2007
- [c3]Jay Yagnik, Atiq Islam:
Learning people annotation from the web via consistency learning. Multimedia Information Retrieval 2007: 285-290 - 2006
- [c2]Jay Yagnik, H. A. Sanjay, Sathish S. Vadhiyar:
Performance Modeling based on Multidimensional Surface Learning for Performance Predictions of Parallel Applications in Non-Dedicated Environments. ICPP 2006: 513-522 - 2005
- [c1]Jay Yagnik, K. R. Ramakrishnan:
A Model Based Factorization Approach for dense 3D recovery from monocular Video. ISM 2005: 249-252
Coauthor Index
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