Kristen Grauman

	2012
57		Yong Jae Lee, Kristen Grauman: Object-Graphs for Context-Aware Visual Category Discovery. IEEE Trans. Pattern Anal. Mach. Intell. 34(2): 346-358 (2012)
56		Brian Kulis, Kristen Grauman: Kernelized Locality-Sensitive Hashing. IEEE Trans. Pattern Anal. Mach. Intell. 34(6): 1092-1104 (2012)
55		Sung Ju Hwang, Kristen Grauman: Reading between the Lines: Object Localization Using Implicit Cues from Image Tags. IEEE Trans. Pattern Anal. Mach. Intell. 34(6): 1145-1158 (2012)
	2011
54		Kristen Grauman, Bastian Leibe: Visual Object Recognition Morgan & Claypool Publishers 2011
53		Sudheendra Vijayanarasimhan, Kristen Grauman: Efficient region search for object detection. CVPR 2011: 1401-1408
52		Sudheendra Vijayanarasimhan, Kristen Grauman: Large-scale live active learning: Training object detectors with crawled data and crowds. CVPR 2011: 1449-1456
51		Jaechul Kim, Kristen Grauman: Boundary preserving dense local regions. CVPR 2011: 1553-1560
50		Chao-Yeh Chen, Kristen Grauman: Clues from the beaten path: Location estimation with bursty sequences of tourist photos. CVPR 2011: 1569-1576
49		Devi Parikh, Kristen Grauman: Interactively building a discriminative vocabulary of nameable attributes. CVPR 2011: 1681-1688
48		Yong Jae Lee, Kristen Grauman: Learning the easy things first: Self-paced visual category discovery. CVPR 2011: 1721-1728
47		Sung Ju Hwang, Fei Sha, Kristen Grauman: Sharing features between objects and their attributes. CVPR 2011: 1761-1768
46		Jeff Donahue, Kristen Grauman: Annotator rationales for visual recognition. ICCV 2011: 1395-1402
45		Adriana Kovashka, Sudheendra Vijayanarasimhan, Kristen Grauman: Actively selecting annotations among objects and attributes. ICCV 2011: 1403-1410
44		Yong Jae Lee, Jaechul Kim, Kristen Grauman: Key-segments for video object segmentation. ICCV 2011: 1995-2002
43		Devi Parikh, Kristen Grauman: Relative attributes. ICCV 2011: 503-510
42		Zhuoliang Kang, Kristen Grauman, Fei Sha: Learning with Whom to Share in Multi-task Feature Learning. ICML 2011: 521-528
41		Sung Ju Hwang, Kristen Grauman, Fei Sha: Learning a Tree of Metrics with Disjoint Visual Features. NIPS 2011: 621-629
40		Sudheendra Vijayanarasimhan, Kristen Grauman: Cost-Sensitive Active Visual Category Learning. International Journal of Computer Vision 91(1): 24-44 (2011)
	2010
39		Sung Ju Hwang, Kristen Grauman: Accounting for the Relative Importance of Objects in Image Retrieval. BMVC 2010: 1-12
38		Yong Jae Lee, Kristen Grauman: Object-graphs for context-aware category discovery. CVPR 2010: 1-8
37		Adriana Kovashka, Kristen Grauman: Learning a hierarchy of discriminative space-time neighborhood features for human action recognition. CVPR 2010: 2046-2053
36		Jaechul Kim, Kristen Grauman: Asymmetric region-to-image matching for comparing images with generic object categories. CVPR 2010: 2344-2351
35		Sung Ju Hwang, Kristen Grauman: Reading between the lines: Object localization using implicit cues from image tags. CVPR 2010: 2971-2978
34		Sudheendra Vijayanarasimhan, Prateek Jain, Kristen Grauman: Far-sighted active learning on a budget for image and video recognition. CVPR 2010: 3035-3042
33		Yong Jae Lee, Kristen Grauman: Collect-cut: Segmentation with top-down cues discovered in multi-object images. CVPR 2010: 3185-3192
32		Prateek Jain, Sudheendra Vijayanarasimhan, Kristen Grauman: Hashing Hyperplane Queries to Near Points with Applications to Large-Scale Active Learning. NIPS 2010: 928-936
31		Kristen Grauman: Efficiently searching for similar images. Commun. ACM 53(6): 84-94 (2010)
30		Michael S. Ryoo, Kristen Grauman, Jake K. Aggarwal: A task-driven intelligent workspace system to provide guidance feedback. Computer Vision and Image Understanding 114(5): 520-534 (2010)
29		Ashish Kapoor, Kristen Grauman, Raquel Urtasun, Trevor Darrell: Gaussian Processes for Object Categorization. International Journal of Computer Vision 88(2): 169-188 (2010)
	2009
28		Yong Jae Lee, Kristen Grauman: Shape discovery from unlabeled image collections. CVPR 2009: 2254-2261
27		Sudheendra Vijayanarasimhan, Kristen Grauman: What's it going to cost you?: Predicting effort vs. informativeness for multi-label image annotations. CVPR 2009: 2262-2269
26		Jaechul Kim, Kristen Grauman: Observe locally, infer globally: A space-time MRF for detecting abnormal activities with incremental updates. CVPR 2009: 2921-2928
25		Brian Kulis, Kristen Grauman: Kernelized locality-sensitive hashing for scalable image search. ICCV 2009: 2130-2137
24		Brian Kulis, Prateek Jain, Kristen Grauman: Fast Similarity Search for Learned Metrics. IEEE Trans. Pattern Anal. Mach. Intell. 31(12): 2143-2157 (2009)
23		Yong Jae Lee, Kristen Grauman: Foreground Focus: Unsupervised Learning from Partially Matching Images. International Journal of Computer Vision 85(2): 143-166 (2009)
	2008
22		Yong Jae Lee, Kristen Grauman: Foreground Focus: Finding Meaningful Features in Unlabeled Images. BMVC 2008
21		Prateek Jain, Brian Kulis, Kristen Grauman: Fast image search for learned metrics. CVPR 2008
20		Sudheendra Vijayanarasimhan, Kristen Grauman: Keywords to visual categories: Multiple-instance learning forweakly supervised object categorization. CVPR 2008
19		Sonal Gupta, Joohyun Kim, Kristen Grauman, Raymond J. Mooney: Watch, Listen & Learn: Co-training on Captioned Images and Videos. ECML/PKDD (1) 2008: 457-472
18		Sudheendra Vijayanarasimhan, Kristen Grauman: Multi-Level Active Prediction of Useful Image Annotations for Recognition. NIPS 2008: 1705-1712
17		Prateek Jain, Brian Kulis, Inderjit S. Dhillon, Kristen Grauman: Online Metric Learning and Fast Similarity Search. NIPS 2008: 761-768
	2007
16		Kristen Grauman: The Pyramid Match: Efficient Learning with Partial Correspondences. AAAI 2007: 1632-1636
15		Kristen Grauman, Trevor Darrell: Pyramid Match Hashing: Sub-Linear Time Indexing Over Partial Correspondences. CVPR 2007
14		Ashish Kapoor, Kristen Grauman, Raquel Urtasun, Trevor Darrell: Active Learning with Gaussian Processes for Object Categorization. ICCV 2007: 1-8
13		Kristen Grauman, Trevor Darrell: The Pyramid Match Kernel: Efficient Learning with Sets of Features. Journal of Machine Learning Research 8: 725-760 (2007)
	2006
12		Kristen Grauman, Trevor Darrell: Unsupervised Learning of Categories from Sets of Partially Matching Image Features. CVPR (1) 2006: 19-25
11		Kristen Grauman, Trevor Darrell: Approximate Correspondences in High Dimensions. NIPS 2006: 505-512
	2005
10		Tom Yeh, Kristen Grauman, Konrad Tollmar, Trevor Darrell: A picture is worth a thousand keywords: image-based object search on a mobile platform. CHI Extended Abstracts 2005: 2025-2028
9		Kristen Grauman, Trevor Darrell: Efficient Image Matching with Distributions of Local Invariant Features. CVPR (2) 2005: 627-634
8		Kristen Grauman, Trevor Darrell: The Pyramid Match Kernel: Discriminative Classification with Sets of Image Features. ICCV 2005: 1458-1465
7		David Demirdjian, Leonid Taycher, Gregory Shakhnarovich, Kristen Grauman, Trevor Darrell: Avoiding the "Streetlight Effect": Tracking by Exploring Likelihood Modes. ICCV 2005: 357-364
	2004
6		Kristen Grauman, Trevor Darrell: Fast Contour Matching Using Approximate Earth Mover's Distance. CVPR (1) 2004: 220-227
5		Kristen Grauman, Gregory Shakhnarovich, Trevor Darrell: Virtual Visual Hulls: Example-Based 3D Shape Inference from Silhouettes. ECCV Workshop SMVP 2004: 26-37
	2003
4		Kristen Grauman, Gregory Shakhnarovich, Trevor Darrell: A Bayesian Approach to Image-Based Visual Hull Reconstruction. CVPR (1) 2003: 187-194
3		Kristen Grauman, Gregory Shakhnarovich, Trevor Darrell: Inferring 3D Structure with a Statistical Image-Based Shape Model. ICCV 2003: 641-648
2		Kristen Grauman, Margrit Betke, J. Lombardi, James Gips, Gary R. Bradski: Communication via eye blinks and eyebrow raises: video-based human-computer interfaces. Universal Access in the Information Society 2(4): 359-373 (2003)
	2001
1		Kristen Grauman, Margrit Betke, James Gips, Gary R. Bradski: Communication via Eye Blinks - Detection and Duration Analysis in Real Time. CVPR (1) 2001: 1010-1017

Coauthor Index

1	Jake K. Aggarwal (J. K. Aggarwal)	[30]
2	Margrit Betke	[1] [2]
3	Gary R. Bradski	[1] [2]
4	Chao-Yeh Chen	[50]
5	Trevor Darrell	[3] [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [29]
6	David Demirdjian	[7]
7	Inderjit S. Dhillon	[17]
8	Jeff Donahue	[46]
9	James Gips	[1] [2]
10	Sonal Gupta	[19]
11	Sung Ju Hwang	[35] [39] [41] [47] [55]
12	Prateek Jain	[17] [21] [24] [32] [34]
13	Zhuoliang Kang	[42]
14	Ashish Kapoor	[14] [29]
15	Jaechul Kim	[26] [36] [44] [51]
16	Joohyun Kim	[19]
17	Adriana Kovashka	[37] [45]
18	Brian Kulis	[17] [21] [24] [25] [56]
19	Yong Jae Lee	[22] [23] [28] [33] [38] [44] [48] [57]
20	Bastian Leibe	[54]
21	J. Lombardi	[2]
22	Raymond J. Mooney	[19]
23	Devi Parikh	[43] [49]
24	Michael S. Ryoo (M. S. Ryoo)	[30]
25	Fei Sha	[41] [42] [47]
26	Gregory Shakhnarovich	[3] [4] [5] [7]
27	Leonid Taycher	[7]
28	Konrad Tollmar	[10]
29	Raquel Urtasun	[14] [29]
30	Sudheendra Vijayanarasimhan	[18] [20] [27] [32] [34] [40] [45] [52] [53]
31	Tom Yeh	[10]

Colors in the list of coauthors

Last update Tue May 29 20:41:18 2012 CET by the DBLP Team — Data released under the ODC-BY 1.0 license — See also our legal information page