Year |
Citation |
Score |
2012 |
McCay-Peet L, Lalmas M, Navalpakkam V. On saliency, affect and focused attention Conference On Human Factors in Computing Systems - Proceedings. 541-550. DOI: 10.1145/2207676.2207751 |
0.348 |
|
2012 |
Milosavljevic M, Navalpakkam V, Koch C, Rangel A. Relative visual saliency differences induce sizable bias in consumer choice Journal of Consumer Psychology. 22: 67-74. DOI: 10.1016/j.jcps.2011.10.002 |
0.612 |
|
2011 |
Ma WJ, Navalpakkam V, Beck JM, Berg Rv, Pouget A. Behavior and neural basis of near-optimal visual search. Nature Neuroscience. 14: 783-90. PMID 21552276 DOI: 10.1038/nn.2814 |
0.625 |
|
2010 |
Navalpakkam V, Koch C, Rangel A, Perona P. Optimal reward harvesting in complex perceptual environments. Proceedings of the National Academy of Sciences of the United States of America. 107: 5232-7. PMID 20194768 DOI: 10.1073/pnas.0911972107 |
0.586 |
|
2010 |
Navalpakkam V, Koch C, Rangel A, Perona P. Where to look? Dissociating the effect of reward, salience and attention Journal of Vision. 9: 421-421. DOI: 10.1167/9.8.421 |
0.592 |
|
2010 |
Milosavljevic M, Navalpakkam V, Koch C, Rangel A. The role of visual saliency and subjective-value in rapid decision making Journal of Vision. 9: 388-388. DOI: 10.1167/9.8.388 |
0.544 |
|
2010 |
Ma WJ, Navalpakkam V, Beck J, Pouget A. Optimal integration of information across space in homogeneous and heterogeneous search displays: data and neural implementation Journal of Vision. 9: 1188-1188. DOI: 10.1167/9.8.1188 |
0.312 |
|
2010 |
Pedersini R, Navalpakkam V, Horowitz T, Perona P, Wolfe J. Quitting rules in visual search Journal of Vision. 9: 1186-1186. DOI: 10.1167/9.8.1186 |
0.447 |
|
2010 |
Beck J, Ma WJ, Navalpakkam V. Bayesian theory of visual search Journal of Vision. 8: 1081-1081. DOI: 10.1167/8.6.1081 |
0.374 |
|
2010 |
Navalpakkam V, Itti L. Attentional modulation of tuning width, preferred features and gains during visual search Journal of Vision. 7: 948-948. DOI: 10.1167/7.9.948 |
0.735 |
|
2010 |
Navalpakkam V, Itti L. Optimal feature gain modulation during visual search Journal of Vision. 6: 454-454. DOI: 10.1167/6.6.454 |
0.713 |
|
2010 |
Navalpakkam V, Koch C, Rangel A, Perona P. Understanding how reward and saliency affect overt attention and decisions Journal of Vision. 10: 32-32. DOI: 10.1167/10.7.32 |
0.56 |
|
2010 |
Navalpakkam V, Perona P. What, when and how of target detection in visual search Journal of Vision. 10: 1322-1322. DOI: 10.1167/10.7.1322 |
0.45 |
|
2009 |
Navalpakkam V, Koch C, Perona P. Homo economicus in visual search. Journal of Vision. 9: 31.1-16. PMID 19271901 DOI: 10.1167/9.1.31 |
0.574 |
|
2007 |
Navalpakkam V, Itti L. Search goal tunes visual features optimally. Neuron. 53: 605-17. PMID 17296560 DOI: 10.1016/j.neuron.2007.01.018 |
0.727 |
|
2006 |
Navalpakkam V, Itti L. Top-down attention selection is fine grained. Journal of Vision. 6: 1180-93. PMID 17209728 DOI: 10.1167/6.11.4 |
0.655 |
|
2006 |
Navalpakkam V, Itti L. Combining bottom-up and top-down attentional influences Proceedings of Spie - the International Society For Optical Engineering. 6057. DOI: 10.1117/12.674148 |
0.727 |
|
2006 |
Navalpakkam V, Itti L. An integrated model of top-down and bottom-up attention for optimizing detection speed Proceedings of the Ieee Computer Society Conference On Computer Vision and Pattern Recognition. 2: 2049-2056. DOI: 10.1109/CVPR.2006.54 |
0.655 |
|
2005 |
Navalpakkam V, Itti L. Modeling the influence of task on attention. Vision Research. 45: 205-31. PMID 15581921 DOI: 10.1016/j.visres.2004.07.042 |
0.698 |
|
2005 |
Navalpakkam V, Telang S, Itti L. Attention can be guided to the relevant feature category Journal of Vision. 5: 1007-1007. DOI: 10.1167/5.8.1007 |
0.709 |
|
2005 |
Navalpakkam V, Arbib M, Itti L. Attention and scene understanding Neurobiology of Attention. 197-203. DOI: 10.1016/B978-012375731-9/50037-9 |
0.717 |
|
2005 |
Navalpakkam V, Itti L. Optimal cue selection strategy Advances in Neural Information Processing Systems. 987-994. |
0.621 |
|
2004 |
Navalpakkam V, Rebesco J, Itti L. Modeling the influence of knowledge of the target and distractors on visual search Journal of Vision. 4: 690-690. DOI: 10.1167/4.8.690 |
0.691 |
|
2004 |
Mundhenk TN, Navalpakkam V, Makaliwe H, Vasudevan S, Itti L. Biologically inspired feature based categorization of objects Proceedings of Spie - the International Society For Optical Engineering. 5292: 330-341. DOI: 10.1117/12.527321 |
0.708 |
|
2003 |
Nathan Mundhenk T, Dhavale N, Marmol S, Calleja E, Navalpakkam V, Bellman K, Landauer C, Arbib MA, Itti L. Utilization and viability of biologically-inspired algorithms in a dynamic multi agent camera surveillance system Proceedings of Spie - the International Society For Optical Engineering. 5267: 281-292. DOI: 10.1117/12.515176 |
0.55 |
|
2002 |
Navalpakkam V, Itti L. A goal oriented attention guidance model Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2525: 453-461. |
0.662 |
|
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