-
1
-
-
80052912306
-
Detecting people using mutually consistent poselet activations
-
L. Bourdev, S. Maji, T. Brox, and J. Malik. Detecting people using mutually consistent poselet activations. In ECCV, 2010.
-
(2010)
ECCV
-
-
Bourdev, L.1
Maji, S.2
Brox, T.3
Malik, J.4
-
2
-
-
18844364899
-
High accuracy optical flow estimation based on a theory for warping
-
T. Brox, A. Bruhn, N. Papenberg, and J. Weickert. High accuracy optical flow estimation based on a theory for warping. In ECCV, 2004.
-
(2004)
ECCV
-
-
Brox, T.1
Bruhn, A.2
Papenberg, N.3
Weickert, J.4
-
3
-
-
34548790053
-
Facial attention and spacetime fragments
-
T. Davies and D. Hoffman. Facial attention and spacetime fragments. Axiomathes, 13(3-4):303-327, 2003.
-
(2003)
Axiomathes
, vol.13
, Issue.3-4
, pp. 303-327
-
-
Davies, T.1
Hoffman, D.2
-
4
-
-
84874549567
-
Action spotting and recognition based on a spatiotemporal orientation analysis
-
K. Derpanis, M. Sizintsev, K. Cannons, and R. Wildes. Action spotting and recognition based on a spatiotemporal orientation analysis. PAMI, 35(3), 2013.
-
(2013)
PAMI
, vol.35
, Issue.3
-
-
Derpanis, K.1
Sizintsev, M.2
Cannons, K.3
Wildes, R.4
-
5
-
-
33846622081
-
Behavior recognition via sparse spatio-temporal features
-
October
-
P. Dolĺar, V. Rabaud, G. Cottrell, and S. Belongie. Behavior recognition via sparse spatio-temporal features. In VS-PETS, October 2005.
-
(2005)
VS-PETS
-
-
Dolĺar, P.1
Rabaud, V.2
Cottrell, G.3
Belongie, S.4
-
7
-
-
51949109604
-
Action recognition by learning midlevel motion features
-
A. Fathi and G. Mori. Action recognition by learning midlevel motion features. In CVPR, 2008.
-
(2008)
CVPR
-
-
Fathi, A.1
Mori, G.2
-
8
-
-
77955422240
-
Object detection with discriminatively trained partbased models
-
P. Felzenszwalb, R. Girshick, D. McAllester, and D. Ramanan. Object detection with discriminatively trained partbased models. PAMI, 32(9):1627-1645, 2010.
-
(2010)
PAMI
, vol.32
, Issue.9
, pp. 1627-1645
-
-
Felzenszwalb, P.1
Girshick, R.2
McAllester, D.3
Ramanan, D.4
-
9
-
-
80052915321
-
Actom sequence models for efficient action detection
-
A. Gaidon, Z. Harchaoui, and C. Schmid. Actom sequence models for efficient action detection. In CVPR, 2011.
-
(2011)
CVPR
-
-
Gaidon, A.1
Harchaoui, Z.2
Schmid, C.3
-
10
-
-
80053120334
-
Hough forests for object detection, tracking, and action recognition
-
Nov.
-
J. Gall, A. Yao, N. Razavi, L. Van Gool, and V. Lempitsky. Hough forests for object detection, tracking, and action recognition. PAMI, 33(11):2188-2202, Nov. 2011.
-
(2011)
PAMI
, vol.33
, Issue.11
, pp. 2188-2202
-
-
Gall, J.1
Yao, A.2
Razavi, N.3
Van Gool, L.4
Lempitsky, V.5
-
11
-
-
0033168452
-
Motion streaks provide a spatial code for motion direction
-
W. Geisler. Motion streaks provide a spatial code for motion direction. Nature, 400(6739):65-69, 1999.
-
(1999)
Nature
, vol.400
, Issue.6739
, pp. 65-69
-
-
Geisler, W.1
-
12
-
-
50649099025
-
A biologically inspired system for action recognition
-
H. Jhuang, T. Serre, L. Wolf, and T. Poggio. A biologically inspired system for action recognition. In ICCV, 2007.
-
(2007)
ICCV
-
-
Jhuang, H.1
Serre, T.2
Wolf, L.3
Poggio, T.4
-
14
-
-
84898426452
-
A spatio-temporal descriptor based on 3D-gradients
-
A. Klaser, M. Marszalek, and C. Schmid. A spatio-temporal descriptor based on 3D-gradients. In BMVC, 2008.
-
(2008)
BMVC
-
-
Klaser, A.1
Marszalek, M.2
Schmid, C.3
-
15
-
-
84883368489
-
Motion interchange patterns for action recognition in unconstrained videos
-
O. Kliper-Gross, Y. Gurovich, T. Hassner, and L. Wolf. Motion interchange patterns for action recognition in unconstrained videos. In ECCV, 2012.
-
(2012)
ECCV
-
-
Kliper-Gross, O.1
Gurovich, Y.2
Hassner, T.3
Wolf, L.4
-
16
-
-
84856139547
-
The action similarity labeling challenge
-
O. Kliper-Gross, T. Hassner, and L. Wolf. The action similarity labeling challenge. PAMI, 34(3):615-621, 2012.
-
(2012)
PAMI
, vol.34
, Issue.3
, pp. 615-621
-
-
Kliper-Gross, O.1
Hassner, T.2
Wolf, L.3
-
17
-
-
84856682691
-
HMDB: A large video database for human motion recognition
-
H. Kuehne, H. Jhuang, E. Garrote, T. Poggio, and T. Serre. HMDB: A large video database for human motion recognition. In ICCV, 2011.
-
(2011)
ICCV
-
-
Kuehne, H.1
Jhuang, H.2
Garrote, E.3
Poggio, T.4
Serre, T.5
-
18
-
-
24944451092
-
On space-time interest points
-
I. Laptev. On space-time interest points. IJCV, 64(2-3):107-123, 2005.
-
(2005)
IJCV
, vol.64
, Issue.2-3
, pp. 107-123
-
-
Laptev, I.1
-
19
-
-
80052880806
-
Action recognition from a distributed representation of pose and appearance
-
S. Maji, L. Bourdev, and J. Malik. Action recognition from a distributed representation of pose and appearance. In CVPR, 2011.
-
(2011)
CVPR
-
-
Maji, S.1
Bourdev, L.2
Malik, J.3
-
21
-
-
80052874353
-
Modeling temporal structure of decomposable motion segments for activity classification
-
J. Niebles, C. Chen, and L. Fei Fei. Modeling temporal structure of decomposable motion segments for activity classification. In ECCV, 2010.
-
(2010)
ECCV
-
-
Niebles, J.1
Chen, C.2
Fei Fei, L.3
-
22
-
-
84866661728
-
Discovering discriminative action parts from mid-level video representations
-
M. Raptis, I. Kokkinos, and S. Soatto. Discovering discriminative action parts from mid-level video representations. In CVPR, 2012.
-
(2012)
CVPR
-
-
Raptis, M.1
Kokkinos, I.2
Soatto, S.3
-
23
-
-
84879553900
-
Recognizing 50 human action categories of web videos
-
K. K. Reddy and M. Shah. Recognizing 50 human action categories of web videos. Mach. Vis. Appl., 24(5):971-981, 2013.
-
(2013)
Mach. Vis. Appl.
, vol.24
, Issue.5
, pp. 971-981
-
-
Reddy, K.K.1
Shah, M.2
-
24
-
-
33845596932
-
Using multiple segmentations to discover objects and their extent in image collections
-
B. Russell,W. Freeman, A. Efros, J. Sivic, and A. Zisserman. Using multiple segmentations to discover objects and their extent in image collections. In CVPR, 2006.
-
(2006)
CVPR
-
-
Russell, B.1
Freeman, W.2
Efros, A.3
Sivic, J.4
Zisserman, A.5
-
25
-
-
84866718894
-
Action bank: A high-level representation of activity in video
-
S. Sadanand and J. Corso. Action bank: A high-level representation of activity in video. In CVPR, 2012.
-
(2012)
CVPR
-
-
Sadanand, S.1
Corso, J.2
-
26
-
-
51949101597
-
Action snippets: How many frames does human action recognition require
-
K. Schindler and L. Van Gool. Action snippets: How many frames does human action recognition require In CVPR, 2008.
-
(2008)
CVPR
-
-
Schindler, K.1
Van Gool, L.2
-
27
-
-
10044233701
-
Recognizing human actions: A local SVM approach
-
C. Schuldt, I. Laptev, and B. Caputo. Recognizing human actions: A local SVM approach. In ICPR, pages III: 32-36, 2004.
-
(2004)
ICPR
, vol.3
, pp. 32-36
-
-
Schuldt, C.1
Laptev, I.2
Caputo, B.3
-
28
-
-
84877615350
-
Efficiently scaling up crowdsourced video annotation
-
C. Vondrick, D. Patterson, and D. Ramanan. Efficiently scaling up crowdsourced video annotation. IJCV, 2012.
-
(2012)
IJCV
-
-
Vondrick, C.1
Patterson, D.2
Ramanan, D.3
-
30
-
-
84898890371
-
Evaluation of local spatio-temporal features for action recognition
-
H. Wang, M. Ullah, A. Klaser, I. Laptev, and C. Schmid. Evaluation of local spatio-temporal features for action recognition. In BMVC, 2009.
-
(2009)
BMVC
-
-
Wang, H.1
Ullah, M.2
Klaser, A.3
Laptev, I.4
Schmid, C.5
-
31
-
-
80052895150
-
Articulated pose estimation with flexible mixtures-of-parts
-
Y. Yang and D. Ramanan. Articulated pose estimation with flexible mixtures-of-parts. In CVPR, 2011.
-
(2011)
CVPR
-
-
Yang, Y.1
Ramanan, D.2
|