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Sách, tạp chí |
Tiêu đề: |
Receptive fields and functional ar-chitecture in two nonstriate visual areas (18 and 19) of the cat”. In: "Journal ofneurophysiology |
Tác giả: |
David H Hubel and Torsten N Wiesel |
Năm: |
1965 |
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Tiêu đề: |
Spatial and temporal contrast sensitivities ofneurones in lateral geniculate nucleus of macaque.” In: "The Journal of physiology |
Tác giả: |
AM Derrington and P Lennie |
Năm: |
1984 |
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Tiêu đề: |
Segregation of form, color, move-ment, and depth: anatomy, physiology, and perception”. In:"Science |
Tác giả: |
Margaret Livingstone and David Hubel |
Năm: |
1988 |
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Tiêu đề: |
Motion illusionsas optimal percepts”. In:"Nature neuroscience |
Tác giả: |
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Năm: |
2002 |
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Tiêu đề: |
Behavior recognition via sparse spatio-temporal fea-tures”. In: "2005 IEEE international workshop on visual surveillance and perfor-mance evaluation of tracking and surveillance |
Tác giả: |
Piotr Dollár et al |
Năm: |
2005 |
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Sách, tạp chí |
Tiêu đề: |
A spatio-temporal descriptor based on 3d-gradients”. In: "BMVC 2008-19th British MachineVision Conference |
Tác giả: |
Alexander Klaser, Marcin Marszałek, and Cordelia Schmid |
Năm: |
2008 |
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Tiêu đề: |
Learning realistic human actions from movies”. In:"2008IEEE Conference on Computer Vision and Pattern Recognition |
Tác giả: |
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Năm: |
2008 |
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Tiêu đề: |
Imagenet: A large-scale hierarchical image database”. In:"2009 IEEE conference on computer vision and pattern recognition |
Tác giả: |
Jia Deng et al |
Năm: |
2009 |
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Tiêu đề: |
Convolutional learning of spatio-temporal fea-tures”. In:"European conference on computer vision |
Tác giả: |
Graham W Taylor et al |
Năm: |
2010 |
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Tiêu đề: |
Imagenet clas-sification with deep convolutional neural networks”. In: "Advances in neural infor-mation processing systems |
Tác giả: |
Alex Krizhevsky, Ilya Sutskever, and Geoffrey E Hinton |
Năm: |
2012 |
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Tiêu đề: |
Two-stream convolutional net-works for action recognition in videos”. In: "Advances in neural information pro-cessing systems |
Tác giả: |
Karen Simonyan and Andrew Zisserman |
Năm: |
2014 |
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Tiêu đề: |
Learning spatiotemporal features with 3d convolutionalnetworks”. In: "Proceedings of the IEEE international conference on computer vi-sion |
Tác giả: |
Du Tran et al |
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2015 |
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Tiêu đề: |
Convolu-tional two-stream network fusion for video action recognition”. In:"Proceedings ofthe IEEE conference on computer vision and pattern recognition |
Tác giả: |
Christoph Feichtenhofer, Axel Pinz, and Andrew Zisserman |
Năm: |
2016 |
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Tiêu đề: |
Deep residual learning for image recognition”. In:"Proceedings of the IEEE conference on computer vision and pattern recognition |
Tác giả: |
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Tiêu đề: |
Hollywood in homes: Crowdsourcing datacollection for activity understanding”. In: "European Conference on Computer Vi-sion |
Tác giả: |
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Năm: |
2016 |
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Sách, tạp chí |
Tiêu đề: |
Quo vadis, action recognition? anew model and the kinetics dataset”. In: "proceedings of the IEEE Conference onComputer Vision and Pattern Recognition |
Tác giả: |
Joao Carreira and Andrew Zisserman |
Năm: |
2017 |
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[17] Christoph Feichtenhofer, Axel Pinz, and Richard P Wildes (2017). “Spatiotempo- ral multiplier networks for video action recognition”. In: Proceedings of the IEEE conference on computer vision and pattern recognition, pp. 4768–4777 |
Sách, tạp chí |
Tiêu đề: |
Spatiotempo-ral multiplier networks for video action recognition”. In: "Proceedings of the IEEEconference on computer vision and pattern recognition |
Tác giả: |
Christoph Feichtenhofer, Axel Pinz, and Richard P Wildes |
Năm: |
2017 |
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The kinetics human action video dataset”. In |
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Năm: |
2017 |
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Feature pyramid networks for object detection”. In:"Proceedings of the IEEE conference on computer vision and pattern recognition |
Tác giả: |
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Năm: |
2017 |
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[20] Allah Bux Sargano, Plamen Angelov, and Zulfiqar Habib (2017). “A comprehen- sive review on handcrafted and learning-based action representation approaches for human activity recognition”. In: applied sciences 7.1, p. 110 |
Sách, tạp chí |
Tiêu đề: |
A comprehen-sive review on handcrafted and learning-based action representation approaches forhuman activity recognition”. In:"applied sciences |
Tác giả: |
Allah Bux Sargano, Plamen Angelov, and Zulfiqar Habib |
Năm: |
2017 |
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