-
1
-
-
84866657764
-
SLIC superpixels compared to state-of-the-art superpixel methods
-
R. Achanta, A. Shaji, K. Smith, A. Lucchi, F. P., and S. S̈usstrunk. SLIC superpixels compared to state-of-the-art superpixel methods. TPAMI, 34(11):2274-2281, 2012.
-
(2012)
TPAMI
, vol.34
, Issue.11
, pp. 2274-2281
-
-
Achanta, R.1
Shaji, A.2
Smith, K.3
Lucchi F P, A.4
S̈usstrunk, S.5
-
2
-
-
0023322501
-
Recognition-by-components: A theory of human image understanding
-
I. Biederman. Recognition-by-components: A theory of human image understanding. Psychological Review, 94:115-147, 1987.
-
(1987)
Psychological Review
, vol.94
, pp. 115-147
-
-
Biederman, I.1
-
4
-
-
85112851150
-
Poselets: Body part detectors trained using 3D human pose annotations
-
L. Bourdev and J. Malik. Poselets: Body part detectors trained using 3D human pose annotations. In ICCV, 2009.
-
(2009)
ICCV
-
-
Bourdev, L.1
Malik, J.2
-
7
-
-
33645146449
-
Histograms of oriented gradients for human detection
-
N. Dalal and B. Triggs. Histograms of oriented gradients for human detection. In CVPR, 2005.
-
(2005)
CVPR
-
-
Dalal, N.1
Triggs, B.2
-
8
-
-
84872258949
-
What makes Paris look like Paris?
-
C. Doersch, S. Singh, A. Gupta, J. Sivic, and A. A. Efros. What makes Paris look like Paris? ACM Transactions on Graphics (SIGGRAPH), 31(4), 2012.
-
(2012)
ACM Transactions on Graphics (SIGGRAPH)
, vol.31
, pp. 4
-
-
Doersch, C.1
Singh, S.2
Gupta, A.3
Sivic, J.4
Efros, A.A.5
-
9
-
-
34948909168
-
Semantic hierarchies for recognizing objects and parts
-
B. Epshtein and S. Ullman. Semantic hierarchies for recognizing objects and parts. In CVPR, 2007.
-
(2007)
CVPR
-
-
Epshtein, B.1
Ullman, S.2
-
10
-
-
77955422240
-
Object detection with discriminatively trained part based models
-
P. Felzenszwalb, R. Girshick, D. McAllester, and D. Ramanan. Object detection with discriminatively trained part based models. TPAMI, 32(9), 2010.
-
(2010)
TPAMI
, vol.32
, pp. 9
-
-
Felzenszwalb, P.1
Girshick, R.2
McAllester, D.3
Ramanan, D.4
-
11
-
-
78149319842
-
Blocks world revisited: Image understanding using qualitative geometry and mechanics
-
A. Gupta, A. Efros, and M. Hebert. Blocks world revisited: Image understanding using qualitative geometry and mechanics. In ECCV, 2010.
-
(2010)
ECCV
-
-
Gupta, A.1
Efros, A.2
Hebert, M.3
-
13
-
-
77953216235
-
Recovering the spatial layout of cluttered rooms
-
V. Hedau, D. Hoiem, and D. Forsyth. Recovering the spatial layout of cluttered rooms. In ICCV, 2009.
-
(2009)
ICCV
-
-
Hedau, V.1
Hoiem, D.2
Forsyth, D.3
-
14
-
-
34547216923
-
Recovering surface layout from an image
-
D. Hoiem, A. A. Efros, and M. Hebert. Recovering surface layout from an image. In IJCV, 2007.
-
(2007)
IJCV
-
-
Hoiem, D.1
Efros, A.A.2
Hebert, M.3
-
15
-
-
0001414863
-
Impossible objects as nonsense sentences
-
D. Huffman. Impossible objects as nonsense sentences. Machine Intelligence, 8:475-492, 1971.
-
(1971)
Machine Intelligence
, vol.8
, pp. 475-492
-
-
Huffman, D.1
-
16
-
-
84856668740
-
A category-level 3-D object dataset: Putting the kinect to work
-
A. Janoch, S. Karayev, Y. Jia, J. Barron, M. Fritz, K. Saenko, and T. Darrell. A category-level 3-D object dataset: Putting the kinect to work. In Workshop on Consumer Depth Cameras in Computer Vision (with ICCV), 2011.
-
(2011)
Workshop on Consumer Depth Cameras in Computer Vision with ICCV
-
-
Janoch, A.1
Karayev, S.2
Jia, Y.3
Barron, J.4
Fritz, M.5
Saenko, K.6
Darrell, T.7
-
17
-
-
84887384531
-
Depth extraction from video using non-parametric sampling
-
K. Karsch, C. Liu, and S. B. Kang. Depth extraction from video using non-parametric sampling. In ECCV, 2012.
-
(2012)
ECCV
-
-
Karsch, K.1
Liu, C.2
Kang, S.B.3
-
18
-
-
85161973668
-
Estimating spatial layout of rooms using volumetric reasoning about objects and surfaces
-
D. C. Lee, A. Gupta, M. Hebert, and T. Kanade. Estimating spatial layout of rooms using volumetric reasoning about objects and surfaces. In NIPS, 2010.
-
(2010)
NIPS
-
-
Lee, D.C.1
Gupta, A.2
Hebert, M.3
Kanade, T.4
-
19
-
-
70450207187
-
Geometric reasoning for single image structure recovery
-
D. C. Lee, M. Hebert, and T. Kanade. Geometric reasoning for single image structure recovery. In CVPR, 2009.
-
(2009)
CVPR
-
-
Lee, D.C.1
Hebert, M.2
Kanade, T.3
-
20
-
-
3042535216
-
Distinctive Image Features from Scale-Invariant Keypoints
-
D. Lowe. Distinctive Image Features from Scale-Invariant Keypoints. IJCV, 60(2):91-110, 2004.
-
(2004)
IJCV
, vol.60
, Issue.2
, pp. 91-110
-
-
Lowe, D.1
-
21
-
-
84866653395
-
RGB-(D) scene labeling: Features and algorithms
-
X. Ren, L. Bo, and D. Fox. RGB-(D) scene labeling: Features and algorithms. In CVPR, 2012.
-
(2012)
CVPR
-
-
Ren, X.1
Bo, L.2
Fox, D.3
-
22
-
-
84898476160
-
Data-driven scene understanding from 3D models
-
S. Satkin, J. Lin, and M. Hebert. Data-driven scene understanding from 3D models. In BMVC, 2012.
-
(2012)
BMVC
-
-
Satkin, S.1
Lin, J.2
Hebert, M.3
-
23
-
-
70450144523
-
Make3D: Learning 3D scene structure from a single still image
-
A. Saxena, M. Sun, and A. Y. Ng. Make3D: Learning 3D scene structure from a single still image. TPAMI, 2008.
-
(2008)
TPAMI
-
-
Saxena, A.1
Sun, M.2
Ng, A.Y.3
-
24
-
-
0036537472
-
A taxonomy and evaluation of dense two-frame stereo correspondence algorithms
-
D. Scharstein and R. Szeliski. A taxonomy and evaluation of dense two-frame stereo correspondence algorithms. IJCV, 47(1):7-42, 2002.
-
(2002)
IJCV
, vol.47
, Issue.1
, pp. 7-42
-
-
Scharstein, D.1
Szeliski, R.2
-
25
-
-
84866720092
-
Multi-attribute spaces: Calibration for attribute fusion and similarity search
-
W. J. Scheirer, N. Kumar, P. N. Belhumeur, and T. E. Boult. Multi-attribute spaces: Calibration for attribute fusion and similarity search. In CVPR, 2012.
-
(2012)
CVPR
-
-
Scheirer, W.J.1
Kumar, N.2
Belhumeur, P.N.3
Boult, T.E.4
-
26
-
-
84887367772
-
Efficient exact inference for 3D indoor scene understanding
-
A. G. Schwing and R. Urtasun. Efficient exact inference for 3D indoor scene understanding. In ECCV, 2012.
-
(2012)
ECCV
-
-
Schwing, A.G.1
Urtasun, R.2
-
27
-
-
84898771678
-
Building parts-based object detectors via 3D geometry
-
A. Shrivastava and A. Gupta. Building parts-based object detectors via 3D geometry. In ICCV, 2013.
-
(2013)
ICCV
-
-
Shrivastava, A.1
Gupta, A.2
-
28
-
-
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 ECCV, 2012.
-
(2012)
ECCV
-
-
Silberman, N.1
Hoiem, D.2
Kohli, P.3
Fergus, R.4
-
29
-
-
84884958786
-
Unsupervised discovery of mid-level discriminative patches
-
S. Singh, A. Gupta, and A. A. Efros. Unsupervised discovery of mid-level discriminative patches. In ECCV, 2012.
-
(2012)
ECCV
-
-
Singh, S.1
Gupta, A.2
Efros, A.A.3
-
31
-
-
84866720197
-
Estimating the aspect layout of object categories
-
Y. Xiang and S. Savarese. Estimating the aspect layout of object categories. In CVPR, 2012.
-
(2012)
CVPR
-
-
Xiang, Y.1
Savarese, S.2
-
32
-
-
77955988947
-
Sun database: Large-scale scene recognition from abbey to zoo
-
J. Xiao, J. Hays, K. Ehinger, A. Oliva, and A. Torralba. Sun database: Large-scale scene recognition from abbey to zoo. In CVPR, 2010.
-
(2010)
CVPR
-
-
Xiao, J.1
Hays, J.2
Ehinger, K.3
Oliva, A.4
Torralba, A.5
-
33
-
-
84877753809
-
Localizing 3D cuboids in single-view images
-
J. Xiao, B. Russell, and A. Torralba. Localizing 3D cuboids in single-view images. In NIPS, 2012.
-
(2012)
NIPS
-
-
Xiao, J.1
Russell, B.2
Torralba, A.3
-
34
-
-
85009179623
-
Discriminative k-means for clustering
-
J. Ye, Z. Zhao, and M.Wu. Discriminative k-means for clustering. In NIPS, 2007.
-
(2007)
NIPS
-
-
Ye, J.1
Zhao, Z.2
Wu, M.3
|