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Richard P Wildes

Showing results (1-10 of 10) with videos related to

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IEEE Transactions on Pattern Analysis and Machine Intelligence|April 21, 2012
Spatiotemporal stereo and scene flow via stequel matchingMikhail Sizintsev, Richard P Wildes
IEEE Transactions on Pattern Analysis and Machine Intelligence|September 10, 2015
Spacetime Stereo and 3D Flow via Binocular Spatiotemporal Orientation AnalysisMikhail Sizintsev, Richard P Wildes
IEEE Transactions on Pattern Analysis and Machine Intelligence|September 10, 2015
The Applicability of Spatiotemporal Oriented Energy Features to Region TrackingKevin J Cannons, Richard P Wildes
IEEE Transactions on Pattern Analysis and Machine Intelligence|May 22, 2010
The structure of multiplicative motions in natural imageryKonstantinos G Derpanis, Richard P Wildes
IEEE Transactions on Pattern Analysis and Machine Intelligence|November 9, 2011
Spacetime texture representation and recognition based on a spatiotemporal orientation analysisKonstantinos G Derpanis, Richard P Wildes
IEEE Transactions on Pattern Analysis and Machine Intelligence|November 9, 2016
Dynamic Scene Recognition with Complementary Spatiotemporal FeaturesChristoph Feichtenhofer, Axel Pinz, Richard P Wildes
IEEE Transactions on Pattern Analysis and Machine Intelligence|September 10, 2015
Action Spotting and Recognition Based on a Spatiotemporal Orientation AnalysisKonstantinos G Derpanis, Mikhail Sizintsev, Kevin J Cannons, et al.
Cerebral Cortex Communications|August 1, 2022
Integration of allocentric and egocentric visual information in a convolutional/multilayer perceptron network model of goal-directed gaze shiftsParisa Abedi Khoozani, Vishal Bharmauria, Adrian Schütz, et al.
Healthcare Technology Letters|November 23, 2018
Fast and accurate vision-based stereo reconstruction and motion estimation for image-guided liver surgeryAndrew D Speers, Burton Ma, William R Jarnagin, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|September 17, 2024
Quantifying and Learning Static vs. Dynamic Information in Deep Spatiotemporal NetworksMatthew Kowal, Mennatullah Siam, Md Amirul Islam, et al.
Pageof 1

Showing results (1-10 of 10) with videos related to

Sort By:
Pageof 1
IEEE Transactions on Pattern Analysis and Machine Intelligence|April 21, 2012
Spatiotemporal stereo and scene flow via stequel matchingMikhail Sizintsev, Richard P Wildes
IEEE Transactions on Pattern Analysis and Machine Intelligence|September 10, 2015
Spacetime Stereo and 3D Flow via Binocular Spatiotemporal Orientation AnalysisMikhail Sizintsev, Richard P Wildes
IEEE Transactions on Pattern Analysis and Machine Intelligence|September 10, 2015
The Applicability of Spatiotemporal Oriented Energy Features to Region TrackingKevin J Cannons, Richard P Wildes
IEEE Transactions on Pattern Analysis and Machine Intelligence|May 22, 2010
The structure of multiplicative motions in natural imageryKonstantinos G Derpanis, Richard P Wildes
IEEE Transactions on Pattern Analysis and Machine Intelligence|November 9, 2011
Spacetime texture representation and recognition based on a spatiotemporal orientation analysisKonstantinos G Derpanis, Richard P Wildes
IEEE Transactions on Pattern Analysis and Machine Intelligence|November 9, 2016
Dynamic Scene Recognition with Complementary Spatiotemporal FeaturesChristoph Feichtenhofer, Axel Pinz, Richard P Wildes
IEEE Transactions on Pattern Analysis and Machine Intelligence|September 10, 2015
Action Spotting and Recognition Based on a Spatiotemporal Orientation AnalysisKonstantinos G Derpanis, Mikhail Sizintsev, Kevin J Cannons, et al.
Cerebral Cortex Communications|August 1, 2022
Integration of allocentric and egocentric visual information in a convolutional/multilayer perceptron network model of goal-directed gaze shiftsParisa Abedi Khoozani, Vishal Bharmauria, Adrian Schütz, et al.
Healthcare Technology Letters|November 23, 2018
Fast and accurate vision-based stereo reconstruction and motion estimation for image-guided liver surgeryAndrew D Speers, Burton Ma, William R Jarnagin, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|September 17, 2024
Quantifying and Learning Static vs. Dynamic Information in Deep Spatiotemporal NetworksMatthew Kowal, Mennatullah Siam, Md Amirul Islam, et al.
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