-
1
-
-
84856661125
-
Learning spatiotemporal graphs of human activities
-
W. Brendel and S. Todorovic. Learning spatiotemporal graphs of human activities. In ICCV, 2011.
-
(2011)
ICCV
-
-
Brendel, W.1
Todorovic, S.2
-
2
-
-
77955422240
-
Object detection with discriminatively trained part-based models
-
P. F. Felzenszwalb, R. B. Girshick, D. A. McAllester, and D. Ramanan. Object detection with discriminatively trained part-based models. TPAMI, 32(9):1627-1645, 2010.
-
(2010)
TPAMI
, vol.32
, Issue.9
, pp. 1627-1645
-
-
Felzenszwalb, P.F.1
Girshick, R.B.2
McAllester, D.A.3
Ramanan, D.4
-
4
-
-
84959216468
-
Activitynet: A large-scale video benchmark for human activity understanding
-
F. C. Heilbron, V. Escorcia, B. Ghanem, and J. C. Niebles. Activitynet: A large-scale video benchmark for human activity understanding. In CVPR, 2015.
-
(2015)
CVPR
-
-
Heilbron, F.C.1
Escorcia, V.2
Ghanem, B.3
Niebles, J.C.4
-
5
-
-
84897108420
-
Max-margin early event detectors
-
M. Hoai and F. De la Torre. Max-margin early event detectors. IJCV, 107(2):191-202, 2014.
-
(2014)
IJCV
, vol.107
, Issue.2
, pp. 191-202
-
-
Hoai, M.1
De La Torre, F.2
-
6
-
-
84870183903
-
3d convolutional neural networks for human action recognition
-
S. Ji, W. Xu, M. Yang, and K. Yu. 3d convolutional neural networks for human action recognition. TPAMI, 35(1):221-231, 2013.
-
(2013)
TPAMI
, vol.35
, Issue.1
, pp. 221-231
-
-
Ji, S.1
Xu, W.2
Yang, M.3
Yu, K.4
-
7
-
-
84911364368
-
Large-scale video classification with convolutional neural networks
-
A. Karpathy, G. Toderici, S. Shetty, T. Leung, R. Sukthankar, and L. Fei-Fei. Large-scale video classification with convolutional neural networks. In CVPR, 2014.
-
(2014)
CVPR
-
-
Karpathy, A.1
Toderici, G.2
Shetty, S.3
Leung, T.4
Sukthankar, R.5
Fei-Fei, L.6
-
9
-
-
85044519129
-
Max-margin action prediction machine
-
Y. Kong and Y. Fu. Max-margin action prediction machine. TPAMI, PP(99):1-1, 2015.
-
(2015)
TPAMI
, vol.99
, pp. 1
-
-
Kong, Y.1
Fu, Y.2
-
10
-
-
84863083227
-
Discriminative figure-centric models for joint action localization and recognition
-
T. Lan, Y. Wang, and G. Mori. Discriminative figure-centric models for joint action localization and recognition. In ICCV, 2011.
-
(2011)
ICCV
-
-
Lan, T.1
Wang, Y.2
Mori, G.3
-
12
-
-
84959195747
-
Space-time tree ensemble for action recognition
-
S. Ma, L. Sigal, and S. Sclaroff. Space-time tree ensemble for action recognition. In CVPR, 2015.
-
(2015)
CVPR
-
-
Ma, S.1
Sigal, L.2
Sclaroff, S.3
-
13
-
-
84898783317
-
Action recognition and localization by hierarchical space-time segments
-
S. Ma, J. Zhang, N. Ikizler-Cinbis, and S. Sclaroff. Action recognition and localization by hierarchical space-time segments. In ICCV, 2013.
-
(2013)
ICCV
-
-
Ma, S.1
Zhang, J.2
Ikizler-Cinbis, N.3
Sclaroff, S.4
-
14
-
-
84971668900
-
Beyond short snippets: Deep networks for video classification
-
abs/1503.08909
-
J. Y. Ng, M. J. Hausknecht, S. Vijayanarasimhan, O. Vinyals, R. Monga, and G. Toderici. Beyond short snippets: Deep networks for video classification. CoRR, abs/1503.08909, 2015.
-
(2015)
CoRR
-
-
Ng, J.Y.1
Hausknecht, M.J.2
Vijayanarasimhan, S.3
Vinyals, O.4
Monga, R.5
Toderici, G.6
-
15
-
-
84911397627
-
Multiple granularity analysis for fine-grained action detection
-
B. Ni, V. R. Paramathayalan, and P. Moulin. Multiple granularity analysis for fine-grained action detection. In CVPR, 2014.
-
(2014)
CVPR
-
-
Ni, B.1
Paramathayalan, V.R.2
Moulin, P.3
-
16
-
-
84910659437
-
Dropout improves recurrent neural networks for handwriting recognition
-
V. Pham, C. Kermorvant, and J. Louradour. Dropout improves recurrent neural networks for handwriting recognition. CoRR, 2013.
-
(2013)
CoRR
-
-
Pham, V.1
Kermorvant, C.2
Louradour, J.3
-
17
-
-
84887345098
-
Poselet key-framing: A model for human activity recognition
-
M. Raptis and L. Sigal. Poselet key-framing: A model for human activity recognition. In CVPR, 2013.
-
(2013)
CVPR
-
-
Raptis, M.1
Sigal, L.2
-
18
-
-
85009854137
-
Recognizing fine-grained and composite activities using hand-centric features and script data
-
abs/1502.06648
-
M. Rohrbach, A. Rohrbach, M. Regneri, S. Amin, M. Andriluka, M. Pinkal, and B. Schiele. Recognizing fine-grained and composite activities using hand-centric features and script data. CoRR, abs/1502.06648, 2015.
-
(2015)
CoRR
-
-
Rohrbach, M.1
Rohrbach, A.2
Regneri, M.3
Amin, S.4
Andriluka, M.5
Pinkal, M.6
Schiele, B.7
-
19
-
-
84856688144
-
Human activity prediction: Early recognition of ongoing activities from streaming videos
-
M. Ryoo. Human activity prediction: Early recognition of ongoing activities from streaming videos. In ICCV, 2011.
-
(2011)
ICCV
-
-
Ryoo, M.1
-
20
-
-
84937862424
-
Two-stream convolutional networks for action recognition in videos
-
K. Simonyan and A. Zisserman. Two-stream convolutional networks for action recognition in videos. In NIPS, 2014.
-
(2014)
NIPS
-
-
Simonyan, K.1
Zisserman, A.2
-
21
-
-
85083953063
-
Very deep convolutional networks for large-scale image recognition
-
K. Simonyan and A. Zisserman. Very deep convolutional networks for large-scale image recognition. ICLR, 2015.
-
(2015)
ICLR
-
-
Simonyan, K.1
Zisserman, A.2
-
22
-
-
84887356306
-
Spatiotemporal deformable part models for action detection
-
Y. Tian, R. Sukthankar, and M. Shah. Spatiotemporal deformable part models for action detection. In CVPR, 2013.
-
(2013)
CVPR
-
-
Tian, Y.1
Sukthankar, R.2
Shah, M.3
-
23
-
-
84898805910
-
Action recognition with improved trajectories
-
H. Wang and C. Schmid. Action recognition with improved trajectories. In ICCV, 2013.
-
(2013)
ICCV
-
-
Wang, H.1
Schmid, C.2
-
24
-
-
84959205018
-
Video action detection with relational dynamic-poselets
-
L. Wang, Y. Qiao, and X. Tang. Video action detection with relational dynamic-poselets. In ECCV, 2014.
-
(2014)
ECCV
-
-
Wang, L.1
Qiao, Y.2
Tang, X.3
-
25
-
-
79957467077
-
Hidden part models for human action recognition: Probabilistic versus max margin
-
Y. Wang and G. Mori. Hidden part models for human action recognition: Probabilistic versus max margin. TPAMI, 33(7):1310-1323, 2011.
-
(2011)
TPAMI
, vol.33
, Issue.7
, pp. 1310-1323
-
-
Wang, Y.1
Mori, G.2
-
26
-
-
84963675700
-
Modeling spatial-temporal clues in a hybrid deep learning framework for video classification
-
abs/1504.01561
-
Z. Wu, X. Wang, Y. Jiang, H. Ye, and X. Xue. Modeling spatial-temporal clues in a hybrid deep learning framework for video classification. CoRR, abs/1504.01561, 2015.
-
(2015)
CoRR
-
-
Wu, Z.1
Wang, X.2
Jiang, Y.3
Ye, H.4
Xue, X.5
-
27
-
-
84977668095
-
Every moment counts: Dense detailed labeling of actions in complex videos
-
S. Yeung, O. Russakovsky, N. Jin, M. Andriluka, G. Mori, and F. Li. Every moment counts: Dense detailed labeling of actions in complex videos. CoRR, 2015.
-
(2015)
CoRR
-
-
Yeung, S.1
Russakovsky, O.2
Jin, N.3
Andriluka, M.4
Mori, G.5
Li, F.6
-
28
-
-
70450164163
-
Discriminative subvolume search for efficient action detection
-
J. Yuan, Z. Liu, and Y.Wu. Discriminative subvolume search for efficient action detection. In CVPR, 2009.
-
(2009)
CVPR
-
-
Yuan, J.1
Liu, Z.2
Wu, Y.3
|