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Laurent Itti

Showing results (31-40 of 64) with videos related to

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Neural Networks : the Official Journal of the International Neural Network Society|February 12, 2017
Biologically plausible learning in neural networks with modulatory feedbackW Shane Grant, James Tanner, Laurent Itti
Vision Research|April 9, 2009
Automatic computation of an image's statistical surprise predicts performance of human observers on a natural image detection taskT Nathan Mundhenk, Wolfgang Einhäuser, Laurent Itti
Journal of Vision|August 31, 2013
Objects do not predict fixations better than early saliency: a re-analysis of Einhauser et al.'s dataAli Borji, Dicky N Sihite, Laurent Itti
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|August 8, 2012
Quantitative analysis of human-model agreement in visual saliency modeling: a comparative studyAli Borji, Dicky N Sihite, Laurent Itti
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|November 25, 2014
BIK-BUS: biologically motivated 3D keypoint based on bottom-up saliencySílvio Filipe, Laurent Itti, Luís A Alexandre
Computers in Biology and Medicine|May 15, 2024
Expert-level sleep staging using an electrocardiography-only feed-forward neural networkAdam M Jones, Laurent Itti, Bhavin R Sheth
The European Journal of Neuroscience|May 12, 2019
Superior colliculus encodes visual saliency during smooth pursuit eye movementsBrian J White, Laurent Itti, Douglas P Munoz
IEEE Transactions on Neural Networks and Learning Systems|February 17, 2021
Beneficial Perturbation Network for Designing General Adaptive Artificial Intelligence SystemsShixian Wen, Amanda Rios, Yunhao Ge, et al.
Vision Research|June 7, 2005
Components of bottom-up gaze allocation in natural imagesRobert J Peters, Asha Iyer, Laurent Itti, et al.
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|February 2, 2016
Learning a Combined Model of Visual Saliency for Fixation PredictionJingwei Wang, Ali Borji, C-C Jay Kuo, et al.
Pageof 7

Showing results (31-40 of 64) with videos related to

Sort By:
Pageof 7
Neural Networks : the Official Journal of the International Neural Network Society|February 12, 2017
Biologically plausible learning in neural networks with modulatory feedbackW Shane Grant, James Tanner, Laurent Itti
Vision Research|April 9, 2009
Automatic computation of an image's statistical surprise predicts performance of human observers on a natural image detection taskT Nathan Mundhenk, Wolfgang Einhäuser, Laurent Itti
Journal of Vision|August 31, 2013
Objects do not predict fixations better than early saliency: a re-analysis of Einhauser et al.'s dataAli Borji, Dicky N Sihite, Laurent Itti
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|August 8, 2012
Quantitative analysis of human-model agreement in visual saliency modeling: a comparative studyAli Borji, Dicky N Sihite, Laurent Itti
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|November 25, 2014
BIK-BUS: biologically motivated 3D keypoint based on bottom-up saliencySílvio Filipe, Laurent Itti, Luís A Alexandre
Computers in Biology and Medicine|May 15, 2024
Expert-level sleep staging using an electrocardiography-only feed-forward neural networkAdam M Jones, Laurent Itti, Bhavin R Sheth
The European Journal of Neuroscience|May 12, 2019
Superior colliculus encodes visual saliency during smooth pursuit eye movementsBrian J White, Laurent Itti, Douglas P Munoz
IEEE Transactions on Neural Networks and Learning Systems|February 17, 2021
Beneficial Perturbation Network for Designing General Adaptive Artificial Intelligence SystemsShixian Wen, Amanda Rios, Yunhao Ge, et al.
Vision Research|June 7, 2005
Components of bottom-up gaze allocation in natural imagesRobert J Peters, Asha Iyer, Laurent Itti, et al.
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|February 2, 2016
Learning a Combined Model of Visual Saliency for Fixation PredictionJingwei Wang, Ali Borji, C-C Jay Kuo, et al.
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