☰

Kristen Grauman, Ph.D. - Publications

Affiliations: 
Computer Science University of Texas at Austin, Austin, Texas, U.S.A. 
Area:
Computer vision, machine learning
Website:
http://www.cs.utexas.edu/~grauman/
Tree Info Grants Similar researchers Related pubs Distance to... Nearest Nobel PubMed Report error

59 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2021 Su YC, Grauman K. Learning Spherical Convolution for 360 Recognition. Ieee Transactions On Pattern Analysis and Machine Intelligence. PMID 34543192 DOI: 10.1109/TPAMI.2021.3113612  0.346
2021 Payntar ND, Hsiao W, Covey RA, Grauman K. Learning patterns of tourist movement and photography from geotagged photos at archaeological heritage sites in Cuzco, Peru Tourism Management. 82: 104165. DOI: 10.1016/J.Tourman.2020.104165  0.346
2020 Su YC, Grauman K. Learning Compressible 360° Video Isomers. Ieee Transactions On Pattern Analysis and Machine Intelligence. PMID 32078535 DOI: 10.1109/Tpami.2020.2974472  0.368
2020 Yu A, Grauman K. Densifying Supervision for Fine-Grained Visual Comparisons International Journal of Computer Vision. 128: 2704-2730. DOI: 10.1007/S11263-020-01344-9  0.412
2019 Ramakrishnan SK, Jayaraman D, Grauman K. Emergence of exploratory look-around behaviors through active observation completion. Science Robotics. 4. PMID 33137723 DOI: 10.1126/scirobotics.aaw6326  0.6
2019 Ramakrishnan SK, Jayaraman D, Grauman K. Emergence of exploratory look-around behaviors through active observation completion Science Robotics. 4: eaaw6326. DOI: 10.1126/Scirobotics.Aaw6326  0.63
2019 Jain SD, Grauman K. Click Carving: Interactive Object Segmentation in Images and Videos with Point Clicks International Journal of Computer Vision. 127: 1321-1344. DOI: 10.1007/S11263-019-01184-2  0.371
2019 Gurari D, Zhao Y, Jain SD, Betke M, Grauman K. Predicting How to Distribute Work Between Algorithms and Humans to Segment an Image Batch International Journal of Computer Vision. 127: 1198-1216. DOI: 10.1007/S11263-019-01172-6  0.329
2018 Xiong B, Jain S, Grauman K. Pixel Objectness: Learning to Segment Generic Objects Automatically in Images and Videos. Ieee Transactions On Pattern Analysis and Machine Intelligence. PMID 30130176 DOI: 10.1109/Tpami.2018.2865794  0.438
2018 Jayaraman D, Grauman K. End-to-end policy learning for active visual categorization. Ieee Transactions On Pattern Analysis and Machine Intelligence. PMID 29993712 DOI: 10.1109/Tpami.2018.2840991  0.649
2018 Gurari D, He K, Xiong B, Zhang J, Sameki M, Jain SD, Sclaroff S, Betke M, Grauman K. Predicting Foreground Object Ambiguity and Efficiently Crowdsourcing the Segmentation(s) International Journal of Computer Vision. 126: 714-730. DOI: 10.1007/S11263-018-1065-7  0.382
2018 Gao R, Jayaraman D, Grauman K. ShapeCodes: self-supervised feature learning by lifting views to viewgrids European Conference On Computer Vision.  0.577
2017 Furnari A, Battiato S, Grauman K, Farinella GM. Next-active-object prediction from egocentric videos Journal of Visual Communication and Image Representation. 49: 401-411. DOI: 10.1016/J.Jvcir.2017.10.004  0.334
2017 Jayaraman D, Grauman K. Learning Image Representations Tied to Egomotion from Unlabeled Video International Journal of Computer Vision. DOI: 10.1007/S11263-017-1001-2  0.691
2017 Jayaraman D, Chen CY, Grauman K. Divide, share, and conquer: Multi-task attribute learning with selective sharing Springer Book On Visual Attributes.  0.568
2016 Chen CY, Grauman K. Efficient Activity Detection in Untrimmed Video with Max-Subgraph Search. Ieee Transactions On Pattern Analysis and Machine Intelligence. PMID 28113697 DOI: 10.1109/Tpami.2016.2564404  0.331
2016 Jayaraman D, Grauman K. Learning image representations tied to ego-motion Proceedings of the Ieee International Conference On Computer Vision. 11: 1413-1421. DOI: 10.1109/ICCV.2015.166  0.663
2016 Chen C, Grauman K. Subjects and Their Objects: Localizing Interactees for a Person-Centric View of Importance International Journal of Computer Vision. 126: 292-313. DOI: 10.1007/S11263-016-0958-6  0.406
2016 Gao R, Jayaraman D, Grauman K. Object-Centric Representation Learning from Unlabeled Videos Asian Conference On Computer Vision.  0.609
2016 Su YC, Jayaraman D, Grauman K. Pano2Vid: Automatic cinematography for watching 360◦ videos Asian Conference On Computer Vision.  0.529
2016 Jayaraman D, Grauman K. Look-ahead before you leap: end-to-end active recognition by forecasting the effect of motion European Conference On Computer Vision.  0.516
2016 Jayaraman D, Grauman K. Slow and steady feature analysis: higher order temporal coherence in video Computer Vision and Pattern Recognition.  0.528
2015 Jaechul Kim, Grauman K. Boundary Preserving Dense Local Regions. Ieee Transactions On Pattern Analysis and Machine Intelligence. 37: 931-43. PMID 26353319 DOI: 10.1109/Tpami.2014.2360689  0.342
2015 Kovashka A, Parikh D, Grauman K. WhittleSearch: Interactive Image Search with Relative Attribute Feedback International Journal of Computer Vision. DOI: 10.1007/S11263-015-0814-0  0.382
2015 Kovashka A, Grauman K. Discovering Attribute Shades of Meaning with the Crowd International Journal of Computer Vision. 114: 56-73. DOI: 10.1007/S11263-014-0798-1  0.438
2015 Lee YJ, Grauman K. Predicting Important Objects for Egocentric Video Summarization International Journal of Computer Vision. 114: 38-55. DOI: 10.1007/S11263-014-0794-5  0.394
2014 Vijayanarasimhan S, Jain P, Grauman K. Hashing hyperplane queries to near points with applications to large-scale active learning. Ieee Transactions On Pattern Analysis and Machine Intelligence. 36: 276-88. PMID 24356349 DOI: 10.1109/Tpami.2013.121  0.346
2014 Liang L, Grauman K. Beyond comparing image pairs: Setwise active learning for relative attributes Proceedings of the Ieee Computer Society Conference On Computer Vision and Pattern Recognition. 208-215. DOI: 10.1109/CVPR.2014.34  0.316
2014 Jayaraman D, Sha F, Grauman K. Decorrelating semantic visual attributes by resisting the urge to share Proceedings of the Ieee Computer Society Conference On Computer Vision and Pattern Recognition. 1629-1636. DOI: 10.1109/CVPR.2014.211  0.532
2014 Grauman K, Belongie S. Editorial: Special issue on active and interactive methods in computer vision International Journal of Computer Vision. 108: 1-2. DOI: 10.1007/S11263-014-0724-6  0.34
2014 Vijayanarasimhan S, Grauman K. Large-scale live active learning: Training object detectors with crawled data and crowds International Journal of Computer Vision. 108: 97-114. DOI: 10.1007/S11263-014-0721-9  0.402
2014 Gong B, Grauman K, Sha F. Learning kernels for unsupervised domain adaptation with applications to visual object recognition International Journal of Computer Vision. 109: 3-27. DOI: 10.1007/S11263-014-0718-4  0.357
2014 Jayaraman D, Grauman K. Zero-shot recognition with unreliable attributes Advances in Neural Information Processing Systems. 4: 3464-3472.  0.538
2012 Hwang SJ, Grauman K. Reading between the lines: object localization using implicit cues from image tags. Ieee Transactions On Pattern Analysis and Machine Intelligence. 34: 1145-58. PMID 22516650 DOI: 10.1109/TPAMI.2011.190  0.354
2012 Kulis B, Grauman K. Kernelized locality-sensitive hashing. Ieee Transactions On Pattern Analysis and Machine Intelligence. 34: 1092-104. PMID 22064796 DOI: 10.1109/Tpami.2011.219  0.371
2012 Lee YJ, Grauman K. Object-graphs for context-aware visual category discovery. Ieee Transactions On Pattern Analysis and Machine Intelligence. 34: 346-58. PMID 21670480 DOI: 10.1109/Tpami.2011.122  0.427
2012 Hwang SJ, Grauman K. Learning the relative importance of objects from tagged images for retrieval and cross-modal search International Journal of Computer Vision. 100: 134-153. DOI: 10.1007/S11263-011-0494-3  0.449
2011 Vijayanarasimhan S, Grauman K. Cost-sensitive active visual category learning International Journal of Computer Vision. 91: 24-44. DOI: 10.1007/S11263-010-0372-4  0.442
2011 Hwang SJ, Grauman K, Sha F. Learning a tree of metrics with disjoint visual features Advances in Neural Information Processing Systems 24: 25th Annual Conference On Neural Information Processing Systems 2011, Nips 2011.  0.308
2010 Grauman K. Efficiently searching for similar images Communications of the Acm. 53: 84-94. DOI: 10.1145/1743546.1743570  0.341
2010 Vijayanarasimhan S, Jain P, Grauman K. Far-sighted active learning on a budget for image and video recognition Proceedings of the Ieee Computer Society Conference On Computer Vision and Pattern Recognition. 3035-3042. DOI: 10.1109/CVPR.2010.5540055  0.35
2010 Kapoor A, Grauman K, Urtasun R, Darrell T. Gaussian processes for object categorization International Journal of Computer Vision. 88: 169-188. DOI: 10.1007/S11263-009-0268-3  0.606
2009 Kulis B, Jain P, Grauman K. Fast similarity search for learned metrics. Ieee Transactions On Pattern Analysis and Machine Intelligence. 31: 2143-57. PMID 19834137 DOI: 10.1109/Tpami.2009.151  0.415
2009 Lee YJ, Grauman K. Foreground focus: Unsupervised learning from partially matching images International Journal of Computer Vision. 85: 143-166. DOI: 10.1007/S11263-009-0252-Y  0.377
2008 Jain P, Kulis B, Grauman K. Fast image search for learned metrics 26th Ieee Conference On Computer Vision and Pattern Recognition, Cvpr. DOI: 10.1109/CVPR.2008.4587841  0.323
2008 Vijayanarasimhan S, Grauman K. Keywords to visual categories: Multiple-instance learning for weakly supervised object categorization 26th Ieee Conference On Computer Vision and Pattern Recognition, Cvpr. DOI: 10.1109/CVPR.2008.4587632  0.324
2007 Kapoor A, Grauman K, Urtasun R, Darrell T. Active learning with Gaussian processes for object categorization Proceedings of the Ieee International Conference On Computer Vision. DOI: 10.1109/ICCV.2007.4408844  0.537
2007 Grauman K, Darrell T. Pyramid match hashing: Sub-linear time indexing over partial correspondences Proceedings of the Ieee Computer Society Conference On Computer Vision and Pattern Recognition. DOI: 10.1109/CVPR.2007.383225  0.424
2007 Grauman K, Darrell T. Approximate correspondences in high dimensions Advances in Neural Information Processing Systems. 505-512.  0.416
2007 Grauman K, Darrell T. The pyramid match kernel: Efficient learning with sets of features Journal of Machine Learning Research. 8: 725-760.  0.543
2006 Grauman K, Darrell T. Unsupervised learning of categories from sets of partially matching image features Proceedings of the Ieee Computer Society Conference On Computer Vision and Pattern Recognition. 1: 19-25. DOI: 10.1109/CVPR.2006.322  0.585
2005 Yeh T, Grauman K, Tollmar K, Darrell T. A picture is worth a thousand keywords: Image-based object search on a mobile platform Conference On Human Factors in Computing Systems - Proceedings. 2025-2028. DOI: 10.1145/1056808.1057083  0.533
2005 Demirdjian D, Taycher L, Shakhnarovich G, Grauman K, Darrell T. Avoiding the "streetlight effect": Tracking by exploring likelihood modes Proceedings of the Ieee International Conference On Computer Vision. 357-364. DOI: 10.1109/ICCV.2005.41  0.688
2005 Grauman K, Darrell T. The pyramid match kernel: Discriminative classification with sets of image features Proceedings of the Ieee International Conference On Computer Vision. 1458-1465. DOI: 10.1109/ICCV.2005.239  0.527
2005 Grauman K, Darrell T. Efficient image matching with distributions of local invariant features Proceedings of the Ieee Computer Society Conference On Computer Vision and Pattern Recognition. 2: 627-634. DOI: 10.1109/CVPR.2005.138  0.504
2004 Grauman K, Shakhnarovich G, Darrell T. Virtual visual hulls: Example-based 3D shape inference from silhouettes Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 3247: 26-37.  0.722
2004 Grauman K, Darrell T. Fast contour matching using approximate Earth Mover's Distance Proceedings of the Ieee Computer Society Conference On Computer Vision and Pattern Recognition. 1: I220-I227.  0.439
2003 Grauman K, Shakhnarovich G, Darrell T. Inferring 3D structure with a statistical image-based shape model Proceedings of the Ieee International Conference On Computer Vision. 1: 641-648.  0.723
2003 Grauman K, Shakhnarovich G, Darrell T. A Bayesian approach to image-based visual hull reconstruction Proceedings of the Ieee Computer Society Conference On Computer Vision and Pattern Recognition. 1: I/187-I/194.  0.729
Show low-probability matches.