-
1
-
-
66149156441
-
The proactive brain: Memory for predictions
-
M. Bar. The proactive brain: memory for predictions. Philosophical Transactions of the Royal Society, 364(1521):1235-1243, 2009.
-
(2009)
Philosophical Transactions of the Royal Society
, vol.364
, Issue.1521
, pp. 1235-1243
-
-
Bar, M.1
-
4
-
-
84898936638
-
Mid-level visual element discovery as discriminative mode seeking
-
C. Doersch, A. Gupta, and A. A. Efros. Mid-level visual element discovery as discriminative mode seeking. In NIPS, 2013.
-
(2013)
NIPS
-
-
Doersch, C.1
Gupta, A.2
Efros, A.A.3
-
5
-
-
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 (TOG), 2012.
-
(2012)
ACM Transactions on Graphics (TOG)
-
-
Doersch, C.1
Singh, S.2
Gupta, A.3
Sivic, J.4
Efros, A.A.5
-
6
-
-
84887348680
-
Learning collections of part models for object recognition
-
I. Endres, K. J. Shih, J. Jiaa, and D. Hoiem. Learning collections of part models for object recognition. In CVPR, 2013.
-
(2013)
CVPR
-
-
Endres, I.1
Shih, K.J.2
Jiaa, J.3
Hoiem, D.4
-
7
-
-
51949101231
-
A dis-criminatively trained, multiscale, deformable part model
-
P. Felzenszwalb, D. McAllester, and D. Ramanan. A dis-criminatively trained, multiscale, deformable part model. In CVPR, 2008.
-
(2008)
CVPR
-
-
Felzenszwalb, P.1
McAllester, D.2
Ramanan, D.3
-
8
-
-
84911394491
-
Predicting object dynamics in scenes
-
D. Fouhey and C. L. Zitnick. Predicting object dynamics in scenes. In CVPR, 2014.
-
(2014)
CVPR
-
-
Fouhey, D.1
Zitnick, C.L.2
-
10
-
-
78149319842
-
Blocks world revisited: Image understanding using qualitative geometry and mechanics
-
A. Gupta, A. 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.A.2
Hebert, M.3
-
12
-
-
70450202741
-
Understanding videos, constructing plots learning a visually grounded storyline model from annotated videos
-
A. Gupta, P. Srinivasan, J. Shi, and L. S. Davis. Understanding videos, constructing plots learning a visually grounded storyline model from annotated videos. In CVPR, 2009.
-
(2009)
CVPR
-
-
Gupta, A.1
Srinivasan, P.2
Shi, J.3
Davis, L.S.4
-
14
-
-
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
-
15
-
-
84867125147
-
Learning object arrangements in 3D scenes using human context
-
Y. Jiang, M. Lim, and A. Saxena. Learning object arrangements in 3D scenes using human context. In ICML, 2012.
-
(2012)
ICML
-
-
Jiang, Y.1
Lim, M.2
Saxena, A.3
-
16
-
-
84887325186
-
Blocks that shout: Distinctive parts for scene classification
-
M. Juneja, A. Vedaldi, C. Jawahar, and A. Zisserman. Blocks that shout: Distinctive parts for scene classification. In CVPR, 2013.
-
(2013)
CVPR
-
-
Juneja, M.1
Vedaldi, A.2
Jawahar, C.3
Zisserman, A.4
-
19
-
-
84893770737
-
Anticipating human activities using object affordances for reactive robotic response
-
H. S. Koppula and A. Saxena. Anticipating human activities using object affordances for reactive robotic response. In RSS, 2013.
-
(2013)
RSS
-
-
Koppula, H.S.1
Saxena, A.2
-
20
-
-
79953049203
-
Sift flow: Dense correspondence across scenes and its applications
-
C. Liu, J. Yuen, and A. Torralba. Sift flow: Dense correspondence across scenes and its applications. PAMI, 2011.
-
(2011)
PAMI
-
-
Liu, C.1
Yuen, J.2
Torralba, A.3
-
21
-
-
3042535216
-
Distinctive image features from scale-invariant keypoints
-
D. G. 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.G.1
-
22
-
-
0019647180
-
An iterative image registration technique with an application to stereo vision
-
B. D. Lucas, T. Kanade, et al. An iterative image registration technique with an application to stereo vision. In IJCAI, 1981.
-
(1981)
IJCAI
-
-
Lucas, B.D.1
Kanade, T.2
-
23
-
-
80052890615
-
A large-scale benchmark dataset for event recognition in surveillance video
-
S. Oh, A. Hoogs, A. Perera, N. Cuntoor, C.-C. Chen, J. T. Lee, S. Mukherjee, J. Aggarwal, H. Lee, L. Davis, et al. A large-scale benchmark dataset for event recognition in surveillance video. In CVPR, 2011.
-
(2011)
CVPR
-
-
Oh, S.1
Hoogs, A.2
Perera, A.3
Cuntoor, N.4
Chen, C.-C.5
Lee, J.T.6
Mukherjee, S.7
Aggarwal, J.8
Lee, H.9
Davis, L.10
-
24
-
-
0035328421
-
Modeling the shape of the scene: A holistic representation of the spatial envelope
-
A. Oliva and A. Torralba. Modeling the shape of the scene: A holistic representation of the spatial envelope. IJCV, 2001.
-
(2001)
IJCV
-
-
Oliva, A.1
Torralba, A.2
-
25
-
-
84856646751
-
Parsing video events with goal inference and intent prediction
-
M. Pei, Y. Jia, and S.-C. Zhu. Parsing video events with goal inference and intent prediction. In ICCV, 2011.
-
(2011)
ICCV
-
-
Pei, M.1
Jia, Y.2
Zhu, S.-C.3
-
27
-
-
58149151266
-
Textonboost for image understanding: Multi-class object recognition and segmentation by jointly modeling texture, layout, and context
-
J. Shotton, J. Winn, C. Rother, and A. Criminisi. Textonboost for image understanding: Multi-class object recognition and segmentation by jointly modeling texture, layout, and context. IJCV, 81(1):2-23, 2009.
-
(2009)
IJCV
, vol.81
, Issue.1
, pp. 2-23
-
-
Shotton, J.1
Winn, J.2
Rother, C.3
Criminisi, A.4
-
28
-
-
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
-
29
-
-
80052902614
-
Event modeling and recognition using markov logic networks
-
S. D. Tran and L. S. Davis. Event modeling and recognition using markov logic networks. In ECCV, 2008.
-
(2008)
ECCV
-
-
Tran, S.D.1
Davis, L.S.2
-
30
-
-
70450162128
-
Multi-cue onboard pedestrian detection
-
C. Wojek, S. Walk, and B. Schiele. Multi-cue onboard pedestrian detection. In CVPR, 2009.
-
(2009)
CVPR
-
-
Wojek, C.1
Walk, S.2
Schiele, B.3
-
31
-
-
77955988492
-
Modeling mutual context of object and human pose in human-object interaction activities
-
B. Yao and L. Fei-Fei. Modeling mutual context of object and human pose in human-object interaction activities. In CVPR, 2010.
-
(2010)
CVPR
-
-
Yao, B.1
Fei-Fei, L.2
-
32
-
-
84880877295
-
Action recognition with exemplar based 2.5D graph matching
-
B. Yao and L. Fei-Fei. Action recognition with exemplar based 2.5D graph matching. In ECCV, 2012.
-
(2012)
ECCV
-
-
Yao, B.1
Fei-Fei, L.2
-
33
-
-
84886833674
-
A data-driven approach for event prediction
-
J. Yuen and A. Torralba. A data-driven approach for event prediction. In ECCV, 2010.
-
(2010)
ECCV
-
-
Yuen, J.1
Torralba, A.2
-
34
-
-
17844394480
-
Animals may not be stuck in time
-
T. R. Zentall. Animals may not be stuck in time. Learning and Motivation, 36(2):208-225, 2005.
-
(2005)
Learning and Motivation
, vol.36
, Issue.2
, pp. 208-225
-
-
Zentall, T.R.1
|