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