Sanjiv Kumar
Sanjiv Kumar
Distinguished Scientist, Google
Verified email at google.com - Homepage
TitleCited byYear
Hashing with graphs
W Liu, J Wang, S Kumar, SF Chang
8252011
Semi-supervised hashing for large-scale search
J Wang, S Kumar, SF Chang
IEEE Transactions on Pattern Analysis and Machine Intelligence 34 (12), 2393 …, 2012
6562012
Discriminative random fields: A discriminative framework for contextual interaction in classification
S Kumar, M Hebert
figshare, 2003
5902003
Semi-supervised hashing for scalable image retrieval
J Wang, S Kumar, SF Chang
5752010
A new baseline for image annotation
A Makadia, V Pavlovic, S Kumar
European conference on computer vision, 316-329, 2008
5062008
Face tracking and recognition with visual constraints in real-world videos
M Kim, S Kumar, V Pavlovic, H Rowley
2008 IEEE Conference on Computer Vision and Pattern Recognition, 1-8, 2008
4722008
On the convergence of adam and beyond
SJ Reddi, S Kale, S Kumar
arXiv preprint arXiv:1904.09237, 2019
4702019
Discriminative random fields
S Kumar, M Hebert
International Journal of Computer Vision 68 (2), 179-201, 2006
4562006
Sequential projection learning for hashing with compact codes
J Wang, S Kumar, SF Chang
3252010
Discrete graph hashing
W Liu, C Mu, S Kumar, SF Chang
Advances in neural information processing systems, 3419-3427, 2014
3112014
A Hierarchical Field Framework for Unified Context-Based Classification.
S Kumar, M Hebert
ICCV 2 (1), 2005
3032005
Learning to hash for indexing big data—A survey
J Wang, W Liu, S Kumar, SF Chang
Proceedings of the IEEE 104 (1), 34-57, 2015
3012015
Discriminative fields for modeling spatial dependencies in natural images
S Kumar, M Hebert
Advances in neural information processing systems, 1531-1538, 2004
2872004
Sampling methods for the Nyström method
S Kumar, M Mohri, A Talwalkar
Journal of Machine Learning Research 13 (Apr), 981-1006, 2012
2642012
Baselines for image annotation
A Makadia, V Pavlovic, S Kumar
International Journal of Computer Vision 90 (1), 88-105, 2010
2152010
Digital tapestry [automatic image synthesis]
C Rother, S Kumar, V Kolmogorov, A Blake
2005 IEEE Computer Society Conference on Computer Vision and Pattern …, 2005
2142005
Large-scale manifold learning
A Talwalkar, S Kumar, H Rowley
2008 IEEE Conference on Computer Vision and Pattern Recognition, 1-8, 2008
2012008
Man-made structure detection in natural images using a causal multiscale random field
S Kumar, M Hebert
2003 IEEE Computer Society Conference on Computer Vision and Pattern …, 2003
1782003
A new approach for nonlinear distortion correction in endoscopic images based on least squares estimation
KV Asari, S Kumar, D Radhakrishnan
IEEE Transactions on Medical Imaging 18 (4), 345-354, 1999
1741999
An exploration of parameter redundancy in deep networks with circulant projections
Y Cheng, FX Yu, RS Feris, S Kumar, A Choudhary, SF Chang
Proceedings of the IEEE International Conference on Computer Vision, 2857-2865, 2015
1722015
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Articles 1–20