russell-2009
Building a database of 3D scenes from user annotations
B. C. Russell and A. Torralba
In
IEEE Computer Society Conference on Computer Vision and Pattern Recognition
(
2009)
pp.
2711-2718
PDF
Keywords: 3d scene structure, 3d object recognition
lee-2009
Geometric reasoning for single image structure recovery
D. C. Lee and M. Hebert and T. Kanade
In
IEEE Computer Society Conference on Computer Vision and Pattern Recognition
(
2009)
pp.
2136-2143
PDF
Keywords: 3d scene structure, edge matching
yu-2008
Inferring spatial layout from a single image via depth-ordered grouping
S. X. Yu and H. Zhang and J. Malik
In
IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops
(
2008)
PDF
Keywords: 3d scene structure, edge matching
ferrari-2008
Groups of adjacent contour segments for object detection
V. Ferrari and L. Fevrier and F. Jurie and C. Schmid
IEEE Transactions on Pattern Analysis and Machine Intelligence
30
(
2008)
36-51
PDF
Keywords: edge detection, object detection, object recognition, scale-invariant local shape feature
savarese-2008
View synthesis for recognizing unseen poses of object classes
S. Savarese and L. Fei-Fei
In
European Conference on Computer Vision
(
2008)
pp.
602-615
PDF
Keywords: 3d object recognition, 3d object detection
savarese-2007
3D generic object categorization, localization and pose estimation
S. Savarese and L. Fei-Fei
In
International Conference on Computer Vision
(
2007)
PDF
Keywords: 3d object recognition, 3d object detection
hoiem-2007
3D} layout{CRF for multi-view object class recognition and segmentation
D. Hoiem and C. Rother and J. Winn
In
IEEE Computer Society Conference on Computer Vision and Pattern Recognition
(
2007)
PDF
Keywords: 3d object recognition, 3d object detection, image segmentation
hoiem-2006
Putting objects in perspective
D. Hoiem and A. A. Efros and M. Hebert
In
IEEE Computer Society Conference on Computer Vision and Pattern Recognition
(
2006)
pp.
2137-2144
PDF
Keywords: 3d scene structure, 3d object recognition
zhu-long-2006
Unsupervised learning of a probabilistic grammar for object detection and parsing
L. Zhu and Y. Chen and A. Yuille
In
Advances in Neural Information Processing Systems
(
2006)
pp.
1617-1624
PDF
Keywords: learning model topology, machine learning
zhu-2006
A Stochastic Grammar of Images
S. Zhu and D. Mumford
Foundations and Trends in Computer Graphics and Vision
4
(
2006)
259-362
PDF
Keywords: learning model topology, machine learning
tu-2005
Image parsing: unifying segmentation, detection, and recognition
Z. Tu and X. Chen and A. L. Yuille and S. Zhu
International Journal of Computer Vision
63
(
2005)
113-140
PDF
Keywords: image segmentation, object recognition, machine learning, statistical inference, data-driven markov chain monte carlo sampling
zhu-2005
Bottom-up/top-down image parsing by attribute graph grammar
F. Han and S. Zhu
In
International Conference on Computer Vision
(
2005)
pp.
1778-1785
PDF
Keywords: object recognition, grammar inference
sudderth-2005
Learning hierarchical models of scenes, objects, and parts
E. B. Sudderth and A. Torralba and W. T. Freeman and A. S. Willsky
In
International Conference on Computer Vision
(
2005)
pp.
1331-1338
PDF
Keywords: object recognition
lowe-2004
Distinctive image features from scale-invariant keypoints
D. G. Lowe
International Journal of Computer Vision
60
(
2004)
91-110
PDF
Keywords: object recognition, scale-invariant keypoints
andrieu-2001
An introduction to MCMC for machine learning
C. Andrieu and N. de Freitas and A. Doucet and M. I. Jordan
Machine Learning
50
(
2003)
5-43
PDF
Keywords: machine learning, statistical inference, markov chain monte carlo sampling, stochastic dynamics
fergus-2003
Object class recognition by unsupervised scale-invariant learning
R. Fergus and P. Perona and A. Zisserman
In
IEEE Computer Society Conference on Computer Vision and Pattern Recognition
(
2003)
pp.
264-271
PDF
Keywords: object recognition
tu-2002
Image segmentation by data-driven M}arkov chain {M}onte {Carlo
Z. Tu and S. Zhu and H. Shum
IEEE Transactions on Pattern Analysis and Machine Intelligence
24
(
2002)
657-673
PDF
Keywords: image segmentation, machine learning, statistical inference, data-driven markov chain monte carlo sampling
forsyth-2001
The Joy of Sampling
D. A. Forsyth and J. Haddon and S. Ioffe
International Journal of Computer Vision
41
(
2001)
109-134
PDF
Keywords: markov chain monte carlo sampling
zhu-2000
Integrating top-down/bottom-up for object recognition by data driven M}arkov chain {M}onte {Carlo
S. Zhu and R. Zhang and Z. Tu
In
IEEE Computer Society Conference on Computer Vision and Pattern Recognition
(
2000)
PDF
Keywords: object recognition, machine learning, statistical inference, data-driven markov chain monte carlo sampling
green-1995
Reversible jump M}arkov chain {M}onte {C}arlo computation and {Bayesian model determination
P. J. Green
Biometrika
82
(
1995)
711-732
PDF
Keywords: statistical inference, reversible jump markov chain monte carlo sampling
neal-1993
Probabilistic inference using M}arkov chain {M}onte {Carlo methods
R. M. Neal
(
1993)
Keywords: statistical inference, markov chain monte carlo sampling, stochastic dynamics
biederman-1987
Recognition-by-components: A theory of human image understanding
I. Biederman
Psychological Review
94
(
1987)
115-147
PDF
Keywords: 3d object recognition, 3d object detection, 3d model fitting