| 2013 | CVPR | Fast, Accurate Detection of 100, 000 Object Classes on a Single Machine. | Thomas L. Dean, Mark A. Ruzon, Mark Segal, Jonathon Shlens, Sudheendra Vijayanarasimhan, Jay Yagnik |
| 2013 | CVPR | Discriminative Segment Annotation in Weakly Labeled Video. | Kevin D. Tang, Rahul Sukthankar, Jay Yagnik, Li Fei-Fei |
| 2011 | ICCV | The power of comparative reasoning. | Jay Yagnik, Dennis Strelow, David A. Ross, Ruei-Sung Lin |
| 2010 | CVPR | SPEC hashing: Similarity preserving algorithm for entropy-based coding. | Ruei-Sung Lin, David A. Ross, Jay Yagnik |
| 2010 | CVPR | Taxonomic classification for web-based videos. | Yang Song, Ming Zhao, Jay Yagnik, Xiaoyun Wu |
| 2010 | CVPR | Finding meaning on YouTube: Tag recommendation and category discovery. | George Toderici, Hrishikesh B. Aradhye, Marius Pasca, Luciano Sbaiz, Jay Yagnik |
| 2009 | ICDM | Video2Text: Learning to Annotate Video Content. | Hrishikesh B. Aradhye, George Toderici, Jay Yagnik |
| 2008 | WWW | 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 |
| 2006 | ICPP | Performance Modeling based on Multidimensional Surface Learning for Performance Predictions of Parallel Applications in Non-Dedicated Environments. | Jay Yagnik, H. A. Sanjay, Sathish S. Vadhiyar |
| 2005 | ISM | A Model Based Factorization Approach for dense 3D recovery from monocular Video. | Jay Yagnik, K. R. Ramakrishnan |