Sanjiv Kumar

	2011
23		Wei Liu, Jun Wang, Sanjiv Kumar, Shih-Fu Chang: Hashing with Graphs. ICML 2011: 1-8
	2010
22		Zheshen Wang, Ming Zhao, Yang Song, Sanjiv Kumar, Baoxin Li: YouTubeCat: Learning to categorize wild web videos. CVPR 2010: 879-886
21		Jun Wang, Sanjiv Kumar, Shih-Fu Chang: Sequential Projection Learning for Hashing with Compact Codes. ICML 2010: 1127-1134
20		Sanjiv Kumar: Discriminative Graphical Models for Context-Based Classification. Computer Vision: Detection, Recognition and Reconstruction 2010: 109-134
19		Ameesh Makadia, Vladimir Pavlovic, Sanjiv Kumar: Baselines for Image Annotation. International Journal of Computer Vision 90(1): 88-105 (2010)
	2009
18		Sanjiv Kumar, Mehryar Mohri, Ameet Talwalkar: On sampling-based approximate spectral decomposition. ICML 2009: 70
17		Sanjiv Kumar, Mehryar Mohri, Ameet Talwalkar: Ensemble Nystrom Method. NIPS 2009: 1060-1068
16		Sanjiv Kumar, Mehryar Mohri, Ameet Talwalkar: Sampling Techniques for the Nystrom Method. Journal of Machine Learning Research - Proceedings Track 5: 304-311 (2009)
	2008
15		Minyoung Kim, Sanjiv Kumar, Vladimir Pavlovic, Henry A. Rowley: Face tracking and recognition with visual constraints in real-world videos. CVPR 2008
14		Ameet Talwalkar, Sanjiv Kumar, Henry A. Rowley: Large-scale manifold learning. CVPR 2008
13		Ameesh Makadia, Vladimir Pavlovic, Sanjiv Kumar: A New Baseline for Image Annotation. ECCV (3) 2008: 316-329
	2007
12		Sanjiv Kumar, Henry A. Rowley: Classification of Weakly-Labeled Data with Partial Equivalence Relations. ICCV 2007: 1-8
	2006
11		Sanjiv Kumar, Martial Hebert: Discriminative Random Fields. International Journal of Computer Vision 68(2): 179-201 (2006)
	2005
10		Carsten Rother, Sanjiv Kumar, Vladimir Kolmogorov, Andrew Blake: Digital Tapestry. CVPR (1) 2005: 589-596
9		Sanjiv Kumar, Jonas August, Martial Hebert: Exploiting Inference for Approximate Parameter Learning in Discriminative Fields: An Empirical Study. EMMCVPR 2005: 153-168
8		Sanjiv Kumar, Martial Hebert: A Hierarchical Field Framework for Unified Context-Based Classification. ICCV 2005: 1284-1291
	2003
7		Sanjiv Kumar, Martial Hebert: Man-Made Structure Detection in Natural Images using a Causal Multiscale Random Field. CVPR (1) 2003: 119-126
6		Sanjiv Kumar, Martial Hebert: Discriminative Random Fields: A Discriminative Framework for Contextual Interaction in Classification. ICCV 2003: 1150-1159
5		Sanjiv Kumar, Martial Hebert: Discriminative Fields for Modeling Spatial Dependencies in Natural Images. NIPS 2003
4		Sanjiv Kumar, Alexander C. Loui, Martial Hebert: An observation-constrained generative approach for probabilistic classification of image regions. Image Vision Comput. 21(1): 87-97 (2003)
	2000
3		Sanjiv Kumar, Irwan M. Kassim, Vijayan K. Asari: Design of a vision-guided microrobotic colonoscopy system. Advanced Robotics 14(2): 87-104 (2000)
2		Vijayan K. Asari, Sanjiv Kumar, Irwan M. Kassim: A Fully Autonomous Microrobotic Endoscopy System. Journal of Intelligent and Robotic Systems 28(4): 325-341 (2000)
	1999
1		K. Vijayan Asari, Sanjiv Kumar, D. Radhakrishnan: A New Approach for Nonlinear Distortion Correction in Endoscopic Images Based on Least Squares Estimation. IEEE Trans. Med. Imaging 18(4): 345-354 (1999)

Coauthor Index

1	K. Vijayan Asari	[1]
2	Vijayan K. Asari	[2] [3]
3	Jonas August	[9]
4	Andrew Blake	[10]
5	Shih-Fu Chang	[21] [23]
6	Martial Hebert	[4] [5] [6] [7] [8] [9] [11]
7	Irwan M. Kassim	[2] [3]
8	Minyoung Kim	[15]
9	Vladimir Kolmogorov	[10]
10	Baoxin Li	[22]
11	Wei Liu	[23]
12	Alexander C. Loui	[4]
13	Ameesh Makadia	[13] [19]
14	Mehryar Mohri	[16] [17] [18]
15	Vladimir Pavlovic	[13] [15] [19]
16	D. Radhakrishnan	[1]
17	Carsten Rother	[10]
18	Henry A. Rowley	[12] [14] [15]
19	Yang Song	[22]
20	Ameet Talwalkar	[14] [16] [17] [18]
21	Jun Wang	[21] [23]
22	Zheshen Wang	[22]
23	Ming Zhao	[22]

Colors in the list of coauthors

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