Richard P Wildes, PhD
Affiliations: | 2000- | Computer Science | York University, Toronto, Ontario, Canada |
Area:
Computational NeuroscienceGoogle:
"Richard Wildes"Mean distance: (not calculated yet)
Parents
Sign in to add mentorEric Grimson | grad student | MIT | |
Whitman Richards | grad student | 1984-1989 | MIT |
Children
Sign in to add traineeSohrab Salimian | research assistant | 2017-2019 | |
Konstantinos G. Derpanis | grad student | 2003-2010 | York University |
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Publications
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Feichtenhofer C, Pinz A, Wildes RP, et al. (2019) Deep Insights into Convolutional Networks for Video Recognition International Journal of Computer Vision. 128: 420-437 |
Speers AD, Ma B, Jarnagin WR, et al. (2018) Fast and accurate vision-based stereo reconstruction and motion estimation for image-guided liver surgery. Healthcare Technology Letters. 5: 208-214 |
Salimian S, Wildes R, Crawford J. (2018) Title: Convolutional Network Approach to Modelling Allocentric Landmark Impact on Target Localization Journal of Vision. 18: 206 |
Feichtenhofer C, Pinz A, Wildes RP. (2016) Dynamic Scene Recognition with Complementary Spatiotemporal Features. Ieee Transactions On Pattern Analysis and Machine Intelligence. 38: 2389-2401 |
Cannons KJ, Wildes RP. (2014) The Applicability of Spatiotemporal Oriented Energy Features to Region Tracking. Ieee Transactions On Pattern Analysis and Machine Intelligence. 36: 784-96 |
Sizintsev M, Wildes RP. (2014) Spacetime Stereo and 3D Flow via Binocular Spatiotemporal Orientation Analysis. Ieee Transactions On Pattern Analysis and Machine Intelligence. 36: 2241-54 |
Derpanis KG, Sizintsev M, Cannons KJ, et al. (2013) Action Spotting and Recognition Based on a Spatiotemporal Orientation Analysis. Ieee Transactions On Pattern Analysis and Machine Intelligence. 35: 527-40 |
Sizintsev M, Wildes RP. (2012) Spatiotemporal stereo and scene flow via stequel matching. Ieee Transactions On Pattern Analysis and Machine Intelligence. 34: 1206-19 |
Derpanis KG, Wildes RP. (2012) Spacetime texture representation and recognition based on a spatiotemporal orientation analysis. Ieee Transactions On Pattern Analysis and Machine Intelligence. 34: 1193-205 |
Derpanis KG, Lecce M, Daniilidis K, et al. (2012) Dynamic scene understanding: The role of orientation features in space and time in scene classification Proceedings of the Ieee Computer Society Conference On Computer Vision and Pattern Recognition. 1306-1313 |