-
1
-
-
84881536861
-
Indoor segmentation and support inference from RGBD Images
-
N. Silberman, D. Hoiem, P. Kohli, and R. Fergus, "Indoor Segmentation and Support Inference from RGBD Images, " in European Conference on Computer Vision, 2012.
-
(2012)
European Conference on Computer Vision
-
-
Silberman, N.1
Hoiem, D.2
Kohli, P.3
Fergus, R.4
-
4
-
-
84887304625
-
Urban 3d semantic modelling using stereo vision
-
S. Sengupta, E. Greveson, A. Shahrokni, and P. H. Torr, "Urban 3d semantic modelling using stereo vision, " in International Conference on Robotics and Automation, 2013.
-
(2013)
International Conference on Robotics and Automation
-
-
Sengupta, S.1
Greveson, E.2
Shahrokni, A.3
Torr, P.H.4
-
5
-
-
77953225585
-
Associative hierarchical CRFs for object class image segmentation
-
L. Ladicky, C. Russell, P. Kohli, and P. Torr, "Associative hierarchical CRFs for object class image segmentation, " in International Conference on Computer Vision, 2009.
-
(2009)
International Conference on Computer Vision
-
-
Ladicky, L.1
Russell, C.2
Kohli, P.3
Torr, P.4
-
9
-
-
85083953146
-
Indoor semantic segmentation using depth information
-
C. Couprie, C. Farabet, L. Najman, and Y. LeCun, "Indoor semantic segmentation using depth information, " in International Conference on Learning Representa-Tions, 2013.
-
(2013)
International Conference on Learning Representa-Tions
-
-
Couprie, C.1
Farabet, C.2
Najman, L.3
Lecun, Y.4
-
10
-
-
84876258641
-
Learning hierarchical features for scene labeling
-
C. Farabet, C. Couprie, L. Najman, and Y. LeCun, "Learning hierarchical features for scene labeling, " Pattern Analysis and Machine Intelligence, 2013.
-
(2013)
Pattern Analysis and Machine Intelligence
-
-
Farabet, C.1
Couprie, C.2
Najman, L.3
Lecun, Y.4
-
12
-
-
84947492217
-
Dense real-Time mapping of object-class semantics from RGB-D Video
-
J. Stückler, B. Waldvogel, H. Schulz, and S. Behnke, "Dense Real-Time Mapping of Object-Class Semantics from RGB-D Video, " Journal of Real-Time Image Processing, 2014.
-
(2014)
Journal of Real-Time Image Processing
-
-
Stückler, J.1
Waldvogel, B.2
Schulz, H.3
Behnke, S.4
-
13
-
-
69549111057
-
Cutting-plane training of structural SVMs
-
T. Joachims, T. Finley, and C.-N. J. Yu, "Cutting-plane training of structural SVMs, " Machine Learning, vol. 77, no. 1, 2009.
-
(2009)
Machine Learning
, vol.77
, Issue.1
-
-
Joachims, T.1
Finley, T.2
Yu, C.-N.J.3
-
14
-
-
77953812535
-
Fusion moves for markov random field optimization
-
V. Lempitsky, C. Rother, S. Roth, and A. Blake, "Fusion moves for markov random field optimization, " Pattern Analysis and Machine Intelligence, 2010.
-
(2010)
Pattern Analysis and Machine Intelligence
-
-
Lempitsky, V.1
Rother, C.2
Roth, S.3
Blake, A.4
-
15
-
-
80053435175
-
An augmented lagrangian approach to constrained map inference
-
A. F. Martins, M. A. Figueiredo, P. M. Aguiar, N. A. Smith, and E. P. Xing, "An augmented lagrangian approach to constrained map inference, " in International Conference on Machine Learning, 2011.
-
(2011)
International Conference on Machine Learning
-
-
Martins, A.F.1
Figueiredo, M.A.2
Aguiar, P.M.3
Smith, N.A.4
Xing, E.P.5
-
16
-
-
84866657764
-
SLIC superpixels compared to stateof-The-Art superpixel methods
-
R. Achanta, A. Shaji, K. Smith, A. Lucchi, P. Fua, and S. Süsstrunk, "SLIC Superpixels Compared to Stateof-The-Art Superpixel Methods, " Pattern Analysis and Machine Intelligence, 2012.
-
(2012)
Pattern Analysis and Machine Intelligence
-
-
Achanta, R.1
Shaji, A.2
Smith, K.3
Lucchi, A.4
Fua, P.5
Süsstrunk, S.6
-
17
-
-
84872283400
-
Real-Time plane segmentation using RGB-D Cameras
-
D. Holz, S. Holzer, R. B. Rusu, and S. Behnke, "Real-Time Plane Segmentation using RGB-D Cameras, " in RoboCup International Symposium, 2011.
-
(2011)
RoboCup International Symposium
-
-
Holz, D.1
Holzer, S.2
Rusu, R.B.3
Behnke, S.4
-
18
-
-
80555140075
-
Scikit-learn: Machine learning in python
-
F. Pedregosa, G. Varoquaux, A. Gramfort, V. Michel, B. Thirion, O. Grisel, M. Blondel, P. Prettenhofer, et al., "Scikit-learn: machine learning in python, " Journal of Machine Learning Research, vol. 12, 2011.
-
(2011)
Journal of Machine Learning Research
, vol.12
-
-
Pedregosa, F.1
Varoquaux, G.2
Gramfort, A.3
Michel, V.4
Thirion, B.5
Grisel, O.6
Blondel, M.7
Prettenhofer, P.8
-
19
-
-
85162384813
-
Algorithms for hyper-parameter optimization
-
J. Bergstra, R. Bardenet, Y. Bengio, B. Kégl, et al., "Algorithms for hyper-parameter optimization, " in Neural Information Processing Systems, 2011.
-
(2011)
Neural Information Processing Systems
-
-
Bergstra, J.1
Bardenet, R.2
Bengio, Y.3
Kégl, B.4
|