John K. Tsotsos

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Iuliia KotserubaPhD Candidate, York UniversityAdresă de e-mail confirmată pe eecs.yorku.ca
Neil BruceSchool of Computer Science, University of GuelphAdresă de e-mail confirmată pe uoguelph.ca
Amir RasouliNoah's Ark LaboratoryAdresă de e-mail confirmată pe huawei.com
Allan D. JepsonSamsung AIC Toronto; University of TorontoAdresă de e-mail confirmată pe cs.toronto.edu
Michael JenkinProfessor of Electrical Engineering and Computer Science, York UniversityAdresă de e-mail confirmată pe eecs.yorku.ca
Alexander AndreopoulosSenior Research Scientist, IBM Research - AlmadenAdresă de e-mail confirmată pe us.ibm.com
Calden WlokaVisiting Assistant Professor, Harvey Mudd CollegeAdresă de e-mail confirmată pe hmc.edu
Evangelos MiliosProfessor of Computer Science, Dalhousie UniversityAdresă de e-mail confirmată pe cs.dal.ca
Amir RosenfeldPrincipal Researcher@Theator AIAdresă de e-mail confirmată pe theator.io
Julio Martinez-TrujilloWestern University, Robarts Research InstituteAdresă de e-mail confirmată pe robarts.ca
John MylopoulosUniversity of OttawaAdresă de e-mail confirmată pe cs.toronto.edu
Sven DickinsonProfessor of Computer Science, University of TorontoAdresă de e-mail confirmată pe cs.toronto.edu
Antonio Rodriguez-SanchezAssociate Professor, University of InnsbruckAdresă de e-mail confirmată pe uibk.ac.at
Markus D. SolbachPhD Student, Laboratory for Active and Attentive Vision, York UniversityAdresă de e-mail confirmată pe eecs.yorku.ca
Mircea Ariel SchoenfeldProfessor of Experimental Neurology and Functional NeuroimagingAdresă de e-mail confirmată pe med.ovgu.de
Konstantinos G. DerpanisYork University and Samsung AI Centre TorontoAdresă de e-mail confirmată pe eecs.yorku.ca
Christian BauckhageProf. of Computer Science, University of Bonn, Fraunhofer IAISAdresă de e-mail confirmată pe bit.uni-bonn.de
Ehsan Fazl-ErsiFerdowsi University of Mashhad & OcularAI Inc.Adresă de e-mail confirmată pe um.ac.ir
Gregory DudekProfessor of Computer Science, Center for Intelligent Machines, McGill UniversityAdresă de e-mail confirmată pe cim.mcgill.ca
Laurent IttiProfessor of Computer Science, University of Southern CaliforniaAdresă de e-mail confirmată pe usc.edu

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John K. Tsotsos

York University, Canada

Adresă de e-mail confirmată pe yorku.ca - Pagina de pornire

vision attention computer vision robotics computational neuroscience


Titlu Sortați după descrierea bibliografică Sortați după an Sortați după titlu	Citat de Citat de	Anul
Saliency based on information maximization N Bruce, J Tsotsos Advances in neural information processing systems 18, 2005	1581	2005
Modeling visual attention via selective tuning JK Tsotsos, SM Culhane, WYK Wai, Y Lai, N Davis, F Nuflo Artificial intelligence 78 (1-2), 507-545, 1995	1521	1995
Saliency, attention, and visual search: An information theoretic approach NDB Bruce, JK Tsotsos Journal of vision 9 (3), 5-5, 2009	1109	2009
Analyzing vision at the complexity level JK Tsotsos Behavioral and brain sciences 13 (3), 423-445, 1990	882	1990
Autonomous vehicles that interact with pedestrians: A survey of theory and practice A Rasouli, JK Tsotsos IEEE Transactions on Intelligent Transportation Systems 21 (3), 900-918, 2019	601	2019
The seventh visual object tracking vot2019 challenge results M Kristan, et al IEEE International Conference on Computer Vision, 2019	448	2019
50 years of object recognition: Directions forward A Andreopoulos, JK Tsotsos Computer vision and image understanding 117 (8), 827-891, 2013	428	2013
Neurobiology of attention L Itti, G Rees, JK Tsotsos Academic Press, 2005	413	2005
Efficient and generalizable statistical models of shape and appearance for analysis of cardiac MRI A Andreopoulos, JK Tsotsos Medical image analysis 12 (3), 335-357, 2008	359	2008
A computational perspective on visual attention JK Tsotsos MIT Press, 2011	340	2011
Revisting Active Perception R Bajcsy, Y Aloimonos, JK Tsotsos Autonomous Robots, 1-20, 2017	320	2017
Direct neurophysiological evidence for spatial suppression surrounding the focus of attention in vision JM Hopf, CN Boehler, SJ Luck, JK Tsotsos, HJ Heinze, MA Schoenfeld Proceedings of the National Academy of Sciences 103 (4), 1053-1058, 2006	296	2006
40 years of cognitive architectures: core cognitive abilities and practical applications I Kotseruba, JK Tsotsos Artificial Intelligence Review, 1-78, 2018	293	2018
A ‘complexity level’analysis of immediate vision JK Tsotsos International journal of computer vision 1 (4), 303-320, 1988	278	1988
Are they going to cross? A benchmark dataset and baseline for pedestrian crosswalk behavior A Rasouli, I Kotseruba, JK Tsotsos Proceedings of the IEEE International Conference on Computer Vision …, 2017	265	2017
Incremental Learning Through Deep Adaptation A Rosenfeld, JK Tsotsos IEEE Transactions on Pattern Analysis and Machine Intelligence, 2018	248	2018
Agreeing To Cross: How Drivers and Pedestrians Communicate A Rasouli, I Kotseruba, JK Tsotsos IEEE Intelligent Vehicles Symposium, Redondo Beach, CA, USA, 2017	244	2017
Pie: A large-scale dataset and models for pedestrian intention estimation and trajectory prediction A Rasouli, I Kotseruba, T Kunic, JK Tsotsos Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019	236	2019
A framework for visual motion understanding JK Tsotsos, J Mylopoulos, HD Cowey, SW Zucker IEEE Transactions on Pattern Analysis and Machine Intelligence, 563-573, 1980	235	1980
The selective tuning model of attention: psychophysical evidence for a suppressive annulus around an attended item F Cutzu, JK Tsotsos Vision research 43 (2), 205-219, 2003	234	2003

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