John K. Tsotsos
John K. Tsotsos
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Saliency based on information maximization
N Bruce, J Tsotsos
Advances in neural information processing systems 18, 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
Saliency, attention, and visual search: An information theoretic approach
NDB Bruce, JK Tsotsos
Journal of vision 9 (3), 5-5, 2009
Analyzing vision at the complexity level
JK Tsotsos
Behavioral and brain sciences 13 (3), 423-445, 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
The seventh visual object tracking vot2019 challenge results
M Kristan, et al
IEEE International Conference on Computer Vision, 2019
50 years of object recognition: Directions forward
A Andreopoulos, JK Tsotsos
Computer vision and image understanding 117 (8), 827-891, 2013
Neurobiology of attention
L Itti, G Rees, JK Tsotsos
Academic Press, 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
A computational perspective on visual attention
JK Tsotsos
MIT Press, 2011
Revisting Active Perception
R Bajcsy, Y Aloimonos, JK Tsotsos
Autonomous Robots, 1-20, 2017
40 years of cognitive architectures: core cognitive abilities and practical applications
I Kotseruba, JK Tsotsos
Artificial Intelligence Review, 1-78, 2018
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
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
A ‘complexity level’analysis of immediate vision
JK Tsotsos
International journal of computer vision 1 (4), 303-320, 1988
Incremental Learning Through Deep Adaptation
A Rosenfeld, JK Tsotsos
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2018
Agreeing To Cross: How Drivers and Pedestrians Communicate
A Rasouli, I Kotseruba, JK Tsotsos
IEEE Intelligent Vehicles Symposium, Redondo Beach, CA, USA, 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
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
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
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Artiklar 1–20