Sanjiv Kumar

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Felix Xinnan YuResearch Scientist, Google New YorkVerified email at google.com
Shih-Fu ChangProfessor of Electrical Engineering and Computer Science, Columbia UniversityVerified email at columbia.edu
Henry A. RowleyStaff Research Scientist, GoogleVerified email at google.com
Sashank J. ReddiResearch Scientist, Google ResearchVerified email at cs.cmu.edu
Ruiqi GuoGoogle Research, New YorkVerified email at google.com
Jun WangVerified email at ee.columbia.edu
martial hebertCMUVerified email at ri.cmu.edu
Satyen KaleStaff Research Scientist, Google ResearchVerified email at google.com
Ananda Theertha SureshSenior Research Scientist, Google New YorkVerified email at google.com
Ameesh MakadiaGoogle ResearchVerified email at google.com
Wei LiuTencentVerified email at ee.columbia.edu
Ameet TalwalkarCMU and Determined AIVerified email at cmu.edu
Mehryar MohriHead, Learning Theory Team, Google Research; Professor, Courant Institute of Mathematical SciencesVerified email at google.com
Vijayan AsariProfessor of Electrical and Computer Engineering and ORS Endowed Chair in Wide Area SurveillanceVerified email at udayton.edu
Yunchao GongEngineering Director, VerkadaVerified email at verkada.com
Ankit Singh RawatResearch Scientist, GoogleVerified email at google.com
Cho-Jui HsiehUniversity of California, Los AngelesVerified email at cs.ucla.edu
Srinadh BhojanapalliResearch Scientist, Google ResearchVerified email at google.com
Aditya Krishna MenonResearch Scientist, GoogleVerified email at google.com
H. Brendan McMahanResearch Scientist, Google SeattleVerified email at google.com

Sanjiv Kumar

Distinguished Scientist, Google

Verified email at google.com - Homepage

Large-scale machine learning Artificial Intelligence Computer Vision Robotics Data Mining


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
On the convergence of adam and beyond SJ Reddi, S Kale, S Kumar arXiv preprint arXiv:1904.09237, 2019	1232	2019
Hashing with graphs W Liu, J Wang, S Kumar, SF Chang Icml, 2011	1018	2011
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	797	2012
Semi-supervised hashing for scalable image retrieval J Wang, S Kumar, SF Chang 2010 IEEE Computer Society Conference on Computer Vision and Pattern …, 2010	673	2010
Discriminative random fields: A discriminative framework for contextual interaction in classification S Kumar Proceedings ninth IEEE international conference on computer vision, 1150-1157, 2003	623	2003
A new baseline for image annotation A Makadia, V Pavlovic, S Kumar European conference on computer vision, 316-329, 2008	559	2008
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	550	2008
Discriminative random fields S Kumar, M Hebert International Journal of Computer Vision 68 (2), 179-201, 2006	495	2006
Discrete graph hashing W Liu, C Mu, S Kumar, SF Chang	429	2014
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	423	2015
Sequential projection learning for hashing with compact codes J Wang, S Kumar, SF Chang	367	2010
Sampling methods for the Nyström method S Kumar, M Mohri, A Talwalkar The Journal of Machine Learning Research 13 (1), 981-1006, 2012	345	2012
A hierarchical field framework for unified context-based classification S Kumar, M Hebert Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1 2 …, 2005	329	2005
Discriminative fields for modeling spatial dependencies in natural images S Kumar, M Hebert Carnegie Mellon University, 2003	306	2003
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	267	2015
Baselines for image annotation A Makadia, V Pavlovic, S Kumar International Journal of Computer Vision 90 (1), 88-105, 2010	246	2010
Advances in Neural Information Processing Systems I L Davis, DS Touretzky Curran Associates Inc, 379-387, 1989	241	1989
Large-scale manifold learning A Talwalkar, S Kumar, H Rowley 2008 IEEE Conference on Computer Vision and Pattern Recognition, 1-8, 2008	229	2008
Digital tapestry [automatic image synthesis] C Rother, S Kumar, V Kolmogorov, A Blake 2005 IEEE Computer Society Conference on Computer Vision and Pattern …, 2005	219	2005
Structured transforms for small-footprint deep learning V Sindhwani, TN Sainath, S Kumar arXiv preprint arXiv:1510.01722, 2015	192	2015

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