 | 2009 |
|---|
| 9 |       | George Toderici,
Jay Yagnik:
Automatic, efficient, temporally-coherent video enhancement for large scale applications.
ACM Multimedia 2009: 609-612 |
| 8 | | Hrishikesh Aradhye,
George Toderici,
Jay Yagnik:
Adaptive, selective, automatic tonal enhancement of faces.
ACM Multimedia 2009: 677-680 |
| 7 | | 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 |
|---|
| 6 | | Ming Zhao,
Jay Yagnik,
Hartwig Adam,
David Bau:
Large scale learning and recognition of faces in web videos.
FG 2008: 1-7 |
| 5 | | Ullas Gargi,
Jay Yagnik:
Solving the label resolution problem in supervised video content classification.
Multimedia Information Retrieval 2008: 276-282 |
| 4 | | 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 |
|---|
| 3 | | Jay Yagnik,
Atiq Islam:
Learning people annotation from the web via consistency learning.
Multimedia Information Retrieval 2007: 285-290 |
| 2006 |
|---|
| 2 | | 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 |
|---|
| 1 | | Jay Yagnik,
K. R. Ramakrishnan:
A Model Based Factorization Approach for dense 3D recovery from monocular Video.
ISM 2005: 249-252 |
