Saliency based on information maximization N Bruce, J Tsotsos Advances in neural information processing systems 18, 2005 | 1623 | 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 | 1553 | 1995 |
Saliency, attention, and visual search: An information theoretic approach NDB Bruce, JK Tsotsos Journal of vision 9 (3), 5-5, 2009 | 1140 | 2009 |
Analyzing vision at the complexity level JK Tsotsos Behavioral and brain sciences 13 (3), 423-445, 1990 | 907 | 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 | 750 | 2019 |
The seventh visual object tracking vot2019 challenge results M Kristan, et al IEEE International Conference on Computer Vision, 2019 | 536 | 2019 |
50 years of object recognition: Directions forward A Andreopoulos, JK Tsotsos Computer vision and image understanding 117 (8), 827-891, 2013 | 443 | 2013 |
Neurobiology of attention L Itti, G Rees, JK Tsotsos Academic Press, 2005 | 436 | 2005 |
40 years of cognitive architectures: core cognitive abilities and practical applications I Kotseruba, JK Tsotsos Artificial Intelligence Review, 1-78, 2018 | 398 | 2018 |
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 | 374 | 2008 |
A computational perspective on visual attention JK Tsotsos MIT Press, 2011 | 366 | 2011 |
Revisting Active Perception R Bajcsy, Y Aloimonos, JK Tsotsos Autonomous Robots, 1-20, 2017 | 361 | 2017 |
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 | 349 | 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 | 330 | 2019 |
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 | 306 | 2006 |
Incremental Learning Through Deep Adaptation A Rosenfeld, JK Tsotsos IEEE Transactions on Pattern Analysis and Machine Intelligence, 2018 | 295 | 2018 |
A ‘complexity level’analysis of immediate vision JK Tsotsos International journal of computer vision 1 (4), 303-320, 1988 | 278 | 1988 |
Agreeing To Cross: How Drivers and Pedestrians Communicate A Rasouli, I Kotseruba, JK Tsotsos IEEE Intelligent Vehicles Symposium, Redondo Beach, CA, USA, 2017 | 277 | 2017 |
Understanding pedestrian behavior in complex traffic scenes A Rasouli, I Kotseruba, JK Tsotsos IEEE Transactions on Intelligent Vehicles 3 (1), 61-70, 2017 | 246 | 2017 |
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 | 241 | 2003 |