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Mubarak Shah
Mubarak Shah
Trustee Chair Professor of Computer Science, University of Central Florida
Dirección de correo verificada de crcv.ucf.edu - Página principal
Título
Citado por
Citado por
Año
Object tracking: A survey
A Yilmaz, O Javed, M Shah
Acm computing surveys (CSUR) 38 (4), 13-es, 2006
70972006
UCF101: A dataset of 101 human actions classes from videos in the wild
K Soomro, AR Zamir, M Shah
arXiv preprint arXiv:1212.0402, 2012
50072012
Shape-from-shading: a survey
R Zhang, PS Tsai, JE Cryer, M Shah
IEEE transactions on pattern analysis and machine intelligence 21 (8), 690-706, 1999
21481999
A 3-dimensional sift descriptor and its application to action recognition
P Scovanner, S Ali, M Shah
Proceedings of the 15th ACM international conference on Multimedia, 357-360, 2007
21002007
Abnormal crowd behavior detection using social force model
R Mehran, A Oyama, M Shah
2009 IEEE conference on computer vision and pattern recognition, 935-942, 2009
20052009
A fast algorithm for active contours and curvature estimation
DJ Williams, M Shah
CVGIP: Image understanding 55 (1), 14-26, 1992
19451992
Visual tracking: An experimental survey
AWM Smeulders, DM Chu, R Cucchiara, S Calderara, A Dehghan, ...
IEEE transactions on pattern analysis and machine intelligence 36 (7), 1442-1468, 2013
18972013
Action MACH a spatio-temporal Maximum Average Correlation Height filter for action recognition.
MD Rodriguez, J Ahmed, M Shah
CVPR 1 (1), 6, 2008
15242008
Action MACH: a spatio-temporal maximum average correlation height filter for action recognition
MS Mikel Rodriguez, Ahmed Javed
Computer Vision and Pattern Recognition, 2008. CVPR 2008. IEEE Conference on …, 2008
1524*2008
Recognizing realistic actions from videos “in the wild”
J Liu, J Luo, M Shah
2009 IEEE Conference on Computer Vision and Pattern Recognition, 1996-2003, 2009
14322009
Visual attention detection in video sequences using spatiotemporal cues
Y Zhai, M Shah
Proceedings of the 14th ACM international conference on Multimedia, 815-824, 2006
11942006
Real-world anomaly detection in surveillance videos
W Sultani, C Chen, M Shah
Proceedings of the IEEE conference on computer vision and pattern …, 2018
10992018
Multi-source multi-scale counting in extremely dense crowd images
H Idrees, I Saleemi, C Seibert, M Shah
Proceedings of the IEEE conference on computer vision and pattern …, 2013
9532013
Bayesian modeling of dynamic scenes for object detection
Y Sheikh, M Shah
IEEE transactions on pattern analysis and machine intelligence 27 (11), 1778 …, 2005
8582005
Transformers in vision: A survey
S Khan, M Naseer, M Hayat, SW Zamir, FS Khan, M Shah
ACM computing surveys (CSUR) 54 (10s), 1-41, 2022
8372022
A large-scale benchmark dataset for event recognition in surveillance video
S Oh, A Hoogs, A Perera, N Cuntoor, CC Chen, JT Lee, S Mukherjee, ...
CVPR 2011, 3153-3160, 2011
8182011
A lagrangian particle dynamics approach for crowd flow segmentation and stability analysis
S Ali, M Shah
2007 IEEE Conference on Computer Vision and Pattern Recognition, 1-6, 2007
7532007
Contour-based object tracking with occlusion handling in video acquired using mobile cameras
A Yilmaz, X Li, M Shah
IEEE Transactions on pattern analysis and machine intelligence 26 (11), 1531 …, 2004
7492004
Recognizing 50 human action categories of web videos
KK Reddy, M Shah
Machine vision and applications 24 (5), 971-981, 2013
7162013
Motion-based recognition a survey
C Cedras, M Shah
Image and vision computing 13 (2), 129-155, 1995
6751995
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Artículos 1–20