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[1]
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Leordeanu, M., and Hebert, M.
Unsupervised learning for graph matching.
In IEEE Computer Society Conference on Computer Vision and
Pattern Recognition (2009).
[ PDF ]
Keywords: object recognition, graph matching
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[2]
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Jiang, T., Jurie, F., and Schmid, C.
Learning shape prior models for object matching.
In IEEE Computer Society Conference on Computer Vision and
Pattern Recognition (2009).
[ PDF ]
Keywords: object detection, shape matching
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[3]
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Maji, S., and Malik, J.
Object detection using max-margin Hough transform.
In IEEE Computer Society Conference on Computer Vision and
Pattern Recognition (2009).
[ PDF ]
Keywords: object detection, hough transform
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[4]
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Gall, J., and Lempitsky, V.
Class-specific Hough forests for object detection.
In IEEE Computer Society Conference on Computer Vision and
Pattern Recognition (2009).
[ PDF ]
Keywords: object detection, randomized trees, hough transform
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[5]
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Holzer, S., Hinterstoisser, S., Ilic, S., and Navab, N.
Distance transform templates for object detection and pose
estimation.
In IEEE Computer Society Conference on Computer Vision and
Pattern Recognition (2009).
[ PDF ]
Keywords: 3d object detection, edge matching
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[6]
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Sun, M., Su, H., Savarese, S., and Fei-Fei, L.
A multi-view probabilistic model for 3D object classes.
In IEEE Computer Society Conference on Computer Vision and
Pattern Recognition (2009).
[ PDF ]
Keywords: 3d object recognition, 3d object detection
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[7]
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Ponce, J.
What is a camera?
In IEEE Computer Society Conference on Computer Vision and
Pattern Recognition (2009).
[ PDF ]
Keywords: camera model
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[8]
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Liu, C., Yuen, J., and Torralba, A.
Nonparametric scene parsing: label transfer via dense scene
alignment.
In IEEE Computer Society Conference on Computer Vision and
Pattern Recognition (2009).
[ PDF ]
Keywords: image segmentation, object recognition
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[9]
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Ommer, B., and Malik, J.
Multi-scale object detection by clustering lines.
In International Conference on Computer Vision (2009).
[ PDF ]
Keywords: object detection
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[10]
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Su, H., Sun, M., Fei-Fei, L., and Savarese, S.
Learning a dense multi-view representation for detection, viewpoint
classification and synthesis of object categories.
In International Conference on Computer Vision (2009).
[ PDF ]
Keywords: 3d object recognition, 3d object detection
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[11]
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Harzallah, H., Jurie, F., and Schmid, C.
Combining efficient object localization and image classification.
In International Conference on Computer Vision (2009).
[ PDF ]
Keywords: object detection, image classification
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[12]
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Wang, G., Hoiem, D., and Forsyth, D.
Learning image similarity from Flickr groups using stochastic
intersecion kernel machines.
In International Conference on Computer Vision (2009).
[ PDF ]
Keywords: image classification
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[13]
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Ferrari, V., Jurie, F., and Schmid, C.
From images to shape models for object detection.
International Journal of Computer Vision (2009), 1-20.
[ PDF ]
Keywords: object detection, object recognition, scale-invariant local shape feature
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[14]
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Liebelt, J., Schmid, C., and Schertler, K.
Viewpoint-independent object class detection using 3D feature maps.
In IEEE Computer Society Conference on Computer Vision and
Pattern Recognition (2008).
[ PDF ]
Keywords: 3d object recognition, 3d object detection, model-based vision
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[15]
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Zhu, L., Lin, C., Huang, H., Chen, Y., and Yuille, A.
Unsupervised structure learning: hierarchical recursive composition,
suspicious coincidence and competitive exclusion.
In European Conference on Computer Vision (2008).
[ PDF ]
Keywords: object recognition
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[16]
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Heitz, G., and Koller, D.
Learning spatial context: using stuff to find things.
In European Conference on Computer Vision (2008).
[ PDF ]
Keywords: object recognition
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[17]
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Bussi, G., and Parrinello, M.
Accurate sampling using langevin dynamics.
Physical Review E 75 (May 2007), 056707.
[ PDF |
Notes ]
Keywords: stochastic dynamics, langevin dynamics
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[18]
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Philbin, J., Chum, O., and Zisserman, A.
Object retrieval with large vocabularies and fast spatial matching.
In IEEE Computer Society Conference on Computer Vision and
Pattern Recognition (2007).
[ PDF ]
Keywords: image retrieval, randomized trees
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[19]
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Kushal, A., Schmid, C., and Ponce, J.
Flexible object models for category-level 3D object recognition.
In IEEE Computer Society Conference on Computer Vision and
Pattern Recognition (2007).
[ PDF ]
Keywords: object recognition
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[20]
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Crandall, D. J., and Huttenlocher, D. P.
Weakly supervised learning of part-based spatial models for visual
object recognition.
In European Conference on Computer Vision (2006), pp. 16-29.
[ PDF ]
Keywords: object recognition
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[21]
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Dalal, N., and Triggs, B.
Histograms of oriented gradients for human detection.
In IEEE Computer Society Conference on Computer Vision and
Pattern Recognition (June 2005), pp. 886-893.
[ PDF ]
Keywords: object detection, object recognition
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[22]
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Sivic, J., Russell, B. C., Efros, A. A., Zisserman, A., and Freeman,
W. T.
Discovering objects and their location in images.
In International Conference on Computer Vision (2005),
pp. 370-377.
[ PDF ]
Keywords: object recognition, object detection, scale-invariant keypoints
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[23]
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Hoiem, D., Efros, A. A., and Hebert, M.
Geometric context from a single image.
In International Conference on Computer Vision (2005),
pp. 654-661.
[ PDF ]
Keywords: 3d scene structure, object detection
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[24]
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Saxena, A., Chung, S. H., and Ng, A.
Learning depth from single monocular images.
In Advances in Neural Information Processing Systems
(Cambridge, MA, 2005), Y. Weiss, B. Schölkopf, and J. Platt, Eds., MIT
Press, pp. 1161-1168.
[ PDF ]
Keywords: 3d scene structure
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[25]
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Al-Kofahi, K. A., Can, A., Lasek, S., Szarowski, D. H., Dowell-Mesfin, N.,
Shain, W., Turner, J. N., and Roysam, B.
Median-based robust algorithms for tracing neurons from noisy
confocal microscope images.
IEEE Transactions on Information Technology in Biomedicine 7, 4
(December 2003), 302-317.
[ PDF ]
Keywords: confocal microscopy, 3d structure extraction
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[26]
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Al-Kofahi, K. A., Lasek, S., Szarowski, D. H., Pace, C. J., Nage, G.,
Turner, J. N., and Roysam, B.
Rapid automated 3d tracing of neurons from confocal image stacks.
IEEE Transactions on Information Technology in Biomedicine 6, 2
(June 2002), 171-187.
[ PDF ]
Keywords: confocal microscopy, 3d structure extraction
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[27]
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Pentland, A. P.
Automatic extraction of deformable part models.
International Journal of Computer Vision 4, 2 (1990), 107-126.
[ PDF ]
Keywords: 3d model fitting
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[28]
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Sugihara, K.
A necessary and sufficient condition for a picture to represent a
polyhedral scene.
IEEE Transactions on Pattern Analysis and Machine Intelligence
6, 5 (September 1984), 578-586.
[ PDF ]
Keywords: 3d model fitting, edge matching
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[29]
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Winston, P. H.
Learning structural descriptions from examples.
In The psychology of computer vision, P. H. Winston, Ed.
McGraw-Hill, 1975, pp. 157-209.
[ PDF ]
Keywords: 3d object recognition, 3d model fitting
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[30]
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Clowes, M. B.
On seeing things.
Artificial Intelligence 2, 1 (1971), 79-116.
[ PDF ]
Keywords: 3d object recognition
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