Mubarak Shah

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niels loboAssociate Professor of Computer SciencePatvirtintas el. paštas cs.ucf.edu
Amir ZamirProfessor of Computer Science, EPFLPatvirtintas el. paštas stanford.edu
Alper YilmazProfessor, The Ohio State UniversityPatvirtintas el. paštas osu.edu
Chen ChenAssociate Professor, Center for Research in Computer Vision, University of Central FloridaPatvirtintas el. paštas ucf.edu
Saad AliPrincipal Applied Scientist, Twitch (Amazon)Patvirtintas el. paštas amazon.com
Jingen LiuAmazonPatvirtintas el. paštas amazon.com
Yogesh Singh RawatAssistant Professor, CRCV, University of Central FloridaPatvirtintas el. paštas ucf.edu
Ajmal Saeed MianProfessor at The University of Western AustraliaPatvirtintas el. paštas uwa.edu.au
Afshin DehghanSr AI/ML Manager ApplePatvirtintas el. paštas apple.com
Khurram ShafiqueNovateur Research SolutionsPatvirtintas el. paštas novateurresearch.com
Zeeshan RasheedNovateur Research SolutionsPatvirtintas el. paštas novateurresearch.com
Yaser SheikhVP, Meta Reality Labs (Pittsburgh)Patvirtintas el. paštas cs.cmu.edu
Yun ZhaiIBMPatvirtintas el. paštas us.ibm.com
Haroon IdreesRobotics Institute, Carnegie Mellon University (CMU)Patvirtintas el. paštas cs.cmu.edu
Imran SaleemiResearch Scientist, ByteDancePatvirtintas el. paštas eecs.ucf.edu
Khurram SoomroUniversity of Central FloridaPatvirtintas el. paštas cs.ucf.edu
Rahul SukthankarGoogle DeepMindPatvirtintas el. paštas google.com
Saad M. KhanGenerative AI and Machine Learning @ AmazonPatvirtintas el. paštas amazon.com
Concetto SpampinatoUniversity of CataniaPatvirtintas el. paštas dieei.unict.it
Omar OreifejUniversity Of California, BerkeleyPatvirtintas el. paštas eecs.berkeley.edu

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Mubarak Shah

Trustee Chair Professor of Computer Science, University of Central Florida

Patvirtintas el. paštas crcv.ucf.edu - Pagrindinis puslapis

Computer Vision


Pavadinimas Rūšiuoti pagal šaltinius Rūšiuoti pagal metus Rūšiuoti pagal pavadinimą	Cituota Cituota	Metai
Object tracking: A survey A Yilmaz, O Javed, M Shah Acm computing surveys (CSUR) 38 (4), 13-es, 2006	7564	2006
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	6761	2012
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	2975	2022
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	2306	1999
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	2295	2009
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	2216	2007
Real-world anomaly detection in surveillance videos W Sultani, C Chen, M Shah Proceedings of the IEEE conference on computer vision and pattern …, 2018	2071	2018
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	2056	2013
A fast algorithm for active contours and curvature estimation DJ Williams, M Shah CVGIP: Image understanding 55 (1), 14-26, 1992	1965	1992
Action MACH a spatio-temporal Maximum Average Correlation Height filter for action recognition. MD Rodriguez, J Ahmed, M Shah CVPR 1 (1), 6, 2008	1659	2008
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	1659*	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	1550	2009
Diffusion models in vision: A survey FA Croitoru, V Hondru, RT Ionescu, M Shah IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (9), 10850 …, 2023	1333	2023
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	1296	2006
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	1219	2013
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	998	2011
Composition loss for counting, density map estimation and localization in dense crowds H Idrees, M Tayyab, K Athrey, D Zhang, S Al-Maadeed, N Rajpoot, ... Proceedings of the European conference on computer vision (ECCV), 532-546, 2018	888	2018
Bayesian modeling of dynamic scenes for object detection Y Sheikh, M Shah IEEE transactions on pattern analysis and machine intelligence 27 (11), 1778 …, 2005	880	2005
Recognizing 50 human action categories of web videos KK Reddy, M Shah Machine vision and applications 24 (5), 971-981, 2013	824	2013
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	795	2007

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