-
1
-
-
84905223557
-
Trecvid 2011 - An overview of the goals, tasks, data, evaluation mechanisms and metrics
-
NIST, USA
-
P. Over, G. Awad, M. Michel, J. Fiscus, W. Kraaij, and A. F. Smeaton. Trecvid 2011 - an overview of the goals, tasks, data, evaluation mechanisms and metrics. In TRECVID 2011. NIST, USA, 2011.
-
(2011)
TRECVID 2011
-
-
Over, P.1
Awad, G.2
Michel, M.3
Fiscus, J.4
Kraaij, W.5
Smeaton, A.F.6
-
2
-
-
77953190737
-
Labelme video: Building a video database with human annotations
-
J. Yuen, B. C. Russell, C. Liu, and A. Torralba. Labelme video: Building a video database with human annotations. In ICCV, 2009.
-
(2009)
ICCV
-
-
Yuen, J.1
Russell, B.C.2
Liu, C.3
Torralba, A.4
-
3
-
-
10044233701
-
Recognizing human actions: A local svm approach
-
C. Schuldt, I. Laptev, and B. Caputo. Recognizing human actions: A local svm approach. In ICPR, 2004.
-
(2004)
ICPR
-
-
Schuldt, C.1
Laptev, I.2
Caputo, B.3
-
4
-
-
70450159786
-
Actions as space-time shapes
-
L. Gorelick, M. Blank, E. Shechtman, M. Irani, and R. Basri. Actions as space-time shapes. IEEE TPAMI, 2007.
-
(2007)
IEEE TPAMI
-
-
Gorelick, L.1
Blank, M.2
Shechtman, E.3
Irani, M.4
Basri, R.5
-
5
-
-
80052874353
-
Modeling temporal structure of decomposable motion segments for activity classification
-
J. C. Niebles, C.-W. Chen, and L. Fei-Fei. Modeling temporal structure of decomposable motion segments for activity classification. In ECCV, 2010.
-
(2010)
ECCV
-
-
Niebles, J.C.1
Chen, C.-W.2
Fei-Fei, L.3
-
6
-
-
84866658784
-
Learning latent temporal structure for complex event detection
-
K. Tang, L. Fei-Fei, and D. Koller. Learning latent temporal structure for complex event detection. In CVPR, 2012.
-
(2012)
CVPR
-
-
Tang, K.1
Fei-Fei, L.2
Koller, D.3
-
7
-
-
85198028989
-
ImageNet: A large-scale hierarchical image database
-
J. Deng, W. Dong, R. Socher, L.-J. Li, K. Li, and L. Fei-Fei. ImageNet: A Large-Scale Hierarchical Image Database. In CVPR, 2009.
-
(2009)
CVPR
-
-
Deng, J.1
Dong, W.2
Socher, R.3
Li, L.-J.4
Li, K.5
Fei-Fei, L.6
-
8
-
-
0019647180
-
An iterative image registration technique with an application to stereo vision
-
B. D. Lucas and T. Kanade. An iterative image registration technique with an application to stereo vision. In IJCAI, 1981.
-
(1981)
IJCAI
-
-
Lucas, B.D.1
Kanade, T.2
-
10
-
-
84866692736
-
Unsupervised incremental learning for improved object detection in a video
-
P. Sharma, C. Huang, and R. Nevatia. Unsupervised incremental learning for improved object detection in a video. In CVPR, 2012.
-
(2012)
CVPR
-
-
Sharma, P.1
Huang, C.2
Nevatia, R.3
-
11
-
-
84866691941
-
Detection by detections: Non-parametric detector adaptation for a video
-
X. Wang, G. Hua, and T. X. Han. Detection by detections: Non-parametric detector adaptation for a video. In CVPR, 2012.
-
(2012)
CVPR
-
-
Wang, X.1
Hua, G.2
Han, T.X.3
-
12
-
-
80052889456
-
Correspondence driven adaptation for human profile recognition
-
M. Yang, S. Zhu, F. Lv, and K. Yu. Correspondence driven adaptation for human profile recognition. In CVPR, 2011.
-
(2011)
CVPR
-
-
Yang, M.1
Zhu, S.2
Lv, F.3
Yu, K.4
-
14
-
-
84866674032
-
Learning object class detectors from weakly annotated video
-
A. Prest, C. Leistner, J. Civera, C. Schmid, and V. Ferrari. Learning object class detectors from weakly annotated video. In CVPR, 2012.
-
(2012)
CVPR
-
-
Prest, A.1
Leistner, C.2
Civera, J.3
Schmid, C.4
Ferrari, V.5
-
15
-
-
78149311717
-
OPTIMOL: Automatic online picture collecTion via incremental MOdel learning
-
L.-J. Li and L. Fei-Fei. OPTIMOL: automatic Online Picture collecTion via Incremental MOdel Learning. IJCV, 2009.
-
(2009)
IJCV
-
-
Li, L.-J.1
Fei-Fei, L.2
-
17
-
-
80052895155
-
What you saw is not what you get: Domain adaptation using asymmetric kernel transforms
-
B. Kulis, K. Saenko, and T. Darrell. What you saw is not what you get: Domain adaptation using asymmetric kernel transforms. In CVPR, 2011.
-
(2011)
CVPR
-
-
Kulis, B.1
Saenko, K.2
Darrell, T.3
-
18
-
-
84863396387
-
Domain adaptation for object recognition: An unsupervised approach
-
R. Gopalan, R. Li, and R. Chellappa. Domain adaptation for object recognition: An unsupervised approach. In ICCV, 2011.
-
(2011)
ICCV
-
-
Gopalan, R.1
Li, R.2
Chellappa, R.3
-
19
-
-
85161970767
-
Exploiting weakly-labeled web images to improve object classification: A domain adaptation approach
-
A. Bergamo and L. Torresani. Exploiting weakly-labeled web images to improve object classification: a domain adaptation approach. In NIPS, 2010.
-
(2010)
NIPS
-
-
Bergamo, A.1
Torresani, L.2
-
20
-
-
70049090801
-
An empirical analysis of domain adaptation algorithms for genomic sequence analysis
-
G. Schweikert, C. Widmer, B. Schölkopf, and G. Rätsch. An empirical analysis of domain adaptation algorithms for genomic sequence analysis. In NIPS, 2008.
-
(2008)
NIPS
-
-
Schweikert, G.1
Widmer, C.2
Schölkopf, B.3
Rätsch, G.4
-
21
-
-
37849026107
-
Cross-domain video concept detection using adaptive svms
-
J. Yang, R. Yan, and A. G. Hauptmann. Cross-domain video concept detection using adaptive svms. In ACM Multimedia, 2007.
-
(2007)
ACM Multimedia
-
-
Yang, J.1
Yan, R.2
Hauptmann, A.G.3
-
22
-
-
77956003629
-
Visual event recognition in videos by learning from web data
-
L. Duan, D. Xu, I. W.-H. Tsang, and J. Luo. Visual event recognition in videos by learning from web data. In CVPR, 2010.
-
(2010)
CVPR
-
-
Duan, L.1
Xu, D.2
Tsang, I.W.-H.3
Luo, J.4
-
23
-
-
1942483137
-
Transductive inference for text classification using support vector machines
-
T. Joachims. Transductive inference for text classification using support vector machines. In ICML, 1999.
-
(1999)
ICML
-
-
Joachims, T.1
-
24
-
-
77956005674
-
Safety in numbers: Learning categories from few examples with multi model knowledge transfer
-
T. Tommasi, F. Orabona, and B. Caputo. Safety in numbers: Learning categories from few examples with multi model knowledge transfer. In CVPR, 2010.
-
(2010)
CVPR
-
-
Tommasi, T.1
Orabona, F.2
Caputo, B.3
-
25
-
-
51949113483
-
Taylor expansion based classifier adaptation: Application to person detection
-
C. Zhang, R. Hamid, and Z. Zhang. Taylor expansion based classifier adaptation: Application to person detection. In CVPR, 2008.
-
(2008)
CVPR
-
-
Zhang, C.1
Hamid, R.2
Zhang, Z.3
-
26
-
-
85161967298
-
Self-paced learning for latent variable models
-
P. Kumar, B. Packer, and D. Koller. Self-paced learning for latent variable models. In NIPS, 2010.
-
(2010)
NIPS
-
-
Kumar, P.1
Packer, B.2
Koller, D.3
-
27
-
-
85162555049
-
Transfer learning by borrowing examples for multiclass object detection
-
J. J. Lim, R. Salakhutdinov, and A. Torralba. Transfer learning by borrowing examples for multiclass object detection. In NIPS, 2011.
-
(2011)
NIPS
-
-
Lim, J.J.1
Salakhutdinov, R.2
Torralba, A.3
-
28
-
-
84856654322
-
Discriminative learning of relaxed hierarchy for large-scale visual recognition
-
T. Gao and D. Koller. Discriminative learning of relaxed hierarchy for large-scale visual recognition. In ICCV, 2011.
-
(2011)
ICCV
-
-
Gao, T.1
Koller, D.2
-
29
-
-
84860513476
-
Frustratingly easy domain adaptation
-
H. D. III. Frustratingly easy domain adaptation. In ACL, 2007.
-
(2007)
ACL
-
-
Iii, H.D.1
-
30
-
-
1942452228
-
Learning on the test data: Leveraging 'unseen' features
-
B. Taskar, M.-F. Wong, and D. Koller. Learning on the test data: Leveraging 'unseen' features. In ICML, 2003.
-
(2003)
ICML
-
-
Taskar, B.1
Wong, M.-F.2
Koller, D.3
-
31
-
-
84864034729
-
Generalization in clustering with unobserved features
-
E. Krupka and N. Tishby. Generalization in clustering with unobserved features. In NIPS, 2005.
-
(2005)
NIPS
-
-
Krupka, E.1
Tishby, N.2
-
33
-
-
77951298115
-
The pascal visual object classes (voc) challenge
-
M. Everingham, L. Van Gool, C. K. I. Williams, J. Winn, and A. Zisserman. The pascal visual object classes (voc) challenge. IJCV, 2010.
-
(2010)
IJCV
-
-
Everingham, M.1
Van Gool, L.2
Williams, C.K.I.3
Winn, J.4
Zisserman, A.5
-
34
-
-
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
-
35
-
-
50949133669
-
LIBLINEAR: A library for large linear classification
-
R.-E. Fan, K.-W. Chang, C.-J. Hsieh, X.-R. Wang, and C.-J. Lin. LIBLINEAR: A library for large linear classification. JMLR, 2008.
-
(2008)
JMLR
-
-
Fan, R.-E.1
Chang, K.-W.2
Hsieh, C.-J.3
Wang, X.-R.4
Lin, C.-J.5
|