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In this work we aim to predict the driver's focus of attention.
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A. Borji and L. Itti · 2013
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P. Kumar, M. Perrollaz, S. Lefevre, and C. Laugier · 2013
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D. Rudoy, D. B. Goldman, E. Shechtman, and L. Zelnik-Manor · 2013
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S.-h. Zhong, Y. Liu, F. Ren, J. Zhang, and T. Ren · 2013
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A. Borji, D. N. Sihite, and L. Itti · 2014
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Where we look when we drive: A multidisciplinary approach
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M. Cornia, L. Baraldi, G. Serra, and R. Cucchiara · 2016
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L. Fridman, P. Langhans, J. Lee, and B. Reimer · 2016
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D. Nilsson and C. Sminchisescu · 2016
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F. Yu and V. Koltun · 2016
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L. Baraldi, C. Grana, and R. Cucchiara · 2017
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Recurrent mixture density network for spatiotemporal visual attention
L. Bazzani, H. Larochelle, and L. Torresani · 2017
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Poseidon: Face-from-depth for driver pose estimation
G. Borghi, M. Venturelli, R. Vezzani, and R. Cucchiara · 2017
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Automated Driving from the View of Technical Standards
S. Grubmüller, J. Plihal, and P. Nedoma · 2017
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3d bounding box estimation using deep learning and geometry
A. Mousavian, D. Anguelov, J. Flynn, and J. Kosecka · 2017
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Where should you attend while driving?
A. Palazzi, F. Solera, S. Calderara, S. Alletto, and R. Cucchiara · 2017
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Eye movements converge on vanishing points during visual search
Y. Ueda, Y. Kamakura, and J. Saiki · 2017
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P. Wang, P. Chen, Y. Yuan, D. Liu, Z. Huang, X. Hou, and G. Cottrell · 2017
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Central and peripheral vision for scene recognition: A neurocomputational modeling explorationwang & cottrell
P. Wang and G. W. Cottrell · 2017
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