| Modeling the influence of task on attention V Navalpakkam, L Itti Vision research 45 (2), 205-231, 2005 | 921 | 2005 |
| 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 | 570 | 2006 |
| Search goal tunes visual features optimally V Navalpakkam, L Itti Neuron 53 (4), 605-617, 2007 | 435 | 2007 |
| Optimal reward harvesting in complex perceptual environments V Navalpakkam, C Koch, A Rangel, P Perona Proceedings of the National Academy of Sciences 107 (11), 5232-5237, 2010 | 229 | 2010 |
| Accelerating eye movement research via accurate and affordable smartphone eye tracking N Valliappan, N Dai, E Steinberg, J He, K Rogers, V Ramachandran, P Xu, ... Nature communications 11 (1), 4553, 2020 | 211 | 2020 |
| Towards better measurement of attention and satisfaction in mobile search D Lagun, CH Hsieh, D Webster, V Navalpakkam Proceedings of the 37th international ACM SIGIR conference on Research …, 2014 | 165 | 2014 |
| Behavior and neural basis of near-optimal visual search WJ Ma, V Navalpakkam, JM Beck, R Berg, A Pouget Nature neuroscience 14 (6), 783-790, 2011 | 149 | 2011 |
| A goal oriented attention guidance model V Navalpakkam, L Itti International Workshop on Biologically Motivated Computer Vision, 453-461, 2002 | 141 | 2002 |
| Mouse tracking: measuring and predicting users' experience of web-based content V Navalpakkam, E Churchill Proceedings of the SIGCHI conference on human factors in computing systems …, 2012 | 122 | 2012 |
| Homo economicus in visual search V Navalpakkam, C Koch, P Perona Journal of Vision 9 (1), 31-31, 2009 | 103 | 2009 |
| On saliency, affect and focused attention L McCay-Peet, M Lalmas, V Navalpakkam Proceedings of the sigchi conference on human factors in computing systems …, 2012 | 101 | 2012 |
| Attention and selection in online choice tasks V Navalpakkam, R Kumar, L Li, D Sivakumar User Modeling, Adaptation, and Personalization: 20th International …, 2012 | 49 | 2012 |
| Rich human feedback for text-to-image generation Y Liang, J He, G Li, P Li, A Klimovskiy, N Carolan, J Sun, J Pont-Tuset, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 37 | 2024 |
| Optimal cue selection strategy V Navalpakkam, L Itti Advances in neural information processing systems 18, 2005 | 35 | 2005 |
| Attention and scene understanding V Navalpakkam, M Arbib, L Itti Neurobiology of attention, 197-203, 2005 | 34 | 2005 |
| Using gaze patterns to study and predict reading struggles due to distraction V Navalpakkam, J Rao, M Slaney CHI'11 Extended Abstracts on Human Factors in Computing Systems, 1705-1710, 2011 | 23 | 2011 |
| Digital biomarker of mental fatigue VWS Tseng, N Valliappan, V Ramachandran, T Choudhury, ... NPJ digital medicine 4 (1), 47, 2021 | 17 | 2021 |
| Predicting response time and error rates in visual search B Chen, V Navalpakkam, P Perona NIPS, 2011 | 12 | 2011 |
| UniAR: Unifying Human Attention and Response Prediction on Visual Content P Li, J He, G Li, R Bhargava, S Shen, N Valliappan, Y Liang, H Gu, ... arXiv preprint arXiv:2312.10175, 2023 | 3 | 2023 |
| Integrating top-down and bottom-up visual attention V Navalpakkam University of Southern California, 2006 | | 2006 |
Laurent IttiProfessor of Computer Science, University of Southern CaliforniaVerified email at usc.edu
