| A model of saliency-based visual attention for rapid scene analysis L Itti, C Koch, E Niebur IEEE Transactions on pattern analysis and machine intelligence 20 (11), 1254 …, 2002 | 15353 | 2002 |
| Computational modelling of visual attention L Itti, C Koch Nature reviews neuroscience 2 (3), 194-203, 2001 | 6756 | 2001 |
| A saliency-based search mechanism for overt and covert shifts of visual attention L Itti, C Koch Vision research 40 (10-12), 1489-1506, 2000 | 4530 | 2000 |
| State-of-the-art in visual attention modeling A Borji, L Itti IEEE transactions on pattern analysis and machine intelligence 35 (1), 185-207, 2012 | 2465 | 2012 |
| Salient object detection: A benchmark A Borji, MM Cheng, H Jiang, J Li IEEE transactions on image processing 24 (12), 5706-5722, 2015 | 2268 | 2015 |
| Bayesian surprise attracts human attention L Itti, P Baldi Vision research 49 (10), 1295-1306, 2009 | 1489 | 2009 |
| Born again neural networks T Furlanello, Z Lipton, M Tschannen, L Itti, A Anandkumar International conference on machine learning, 1607-1616, 2018 | 1446 | 2018 |
| Automatic foveation for video compression using a neurobiological model of visual attention L Itti IEEE transactions on image processing 13 (10), 1304-1318, 2004 | 1032 | 2004 |
| Components of bottom-up gaze allocation in natural images RJ Peters, A Iyer, L Itti, C Koch Vision research 45 (18), 2397-2416, 2005 | 961 | 2005 |
| Modeling the influence of task on attention V Navalpakkam, L Itti Vision research 45 (2), 205-231, 2005 | 955 | 2005 |
| Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration0 A O’Neill, A Rehman, A Maddukuri, A Gupta, A Padalkar, A Lee, A Pooley, ... 2024 IEEE International Conference on Robotics and Automation (ICRA), 6892-6903, 2024 | 919 | 2024 |
| Bayesian surprise attracts human attention L Itti, P Baldi Advances in neural information processing systems 18, 2005 | 845 | 2005 |
| Quantitative analysis of human-model agreement in visual saliency modeling: A comparative study A Borji, DN Sihite, L Itti IEEE Transactions on Image Processing 22 (1), 55-69, 2012 | 829 | 2012 |
| Rapid biologically-inspired scene classification using features shared with visual attention C Siagian, L Itti IEEE transactions on pattern analysis and machine intelligence 29 (2), 300-312, 2007 | 783 | 2007 |
| Mechanisms of top-down attention F Baluch, L Itti Trends in neurosciences 34 (4), 210-224, 2011 | 673 | 2011 |
| Feature combination strategies for saliency-based visual attention systems L Itti, C Koch Journal of Electronic imaging 10 (1), 161-169, 2001 | 634 | 2001 |
| Attention activates winner-take-all competition among visual filters DK Lee, L Itti, C Koch, J Braun Nature neuroscience 2 (4), 375-381, 1999 | 603 | 1999 |
| An integrated model of top-down and bottom-up attention for optimizing detection speed V Navalpakkam, L Itti 2006 IEEE Computer Society Conference on Computer Vision and Pattern …, 2006 | 578 | 2006 |
| A principled approach to detecting surprising events in video L Itti, P Baldi 2005 IEEE Computer Society Conference on Computer Vision and Pattern …, 2005 | 546 | 2005 |
| Quantifying center bias of observers in free viewing of dynamic natural scenes PH Tseng, R Carmi, IGM Cameron, DP Munoz, L Itti Journal of vision 9 (7), 4-4, 2009 | 481 | 2009 |
Christof KochChief Scientist, MindScope Program, Allen InstituteVerified email at alleninstitute.org
