Richard P. Wildes

York University — Canada

Computer Science · Physical Sciences

33h-index7.2kcitations125works1.82yr avg
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Research Topics

Advanced Vision and Imaging(52), Human Pose and Action Recognition(40), Anomaly Detection Techniques and Applications(21), Advanced Image and Video Retrieval Techniques(18), Video Surveillance and Tracking Methods(16)

Publications124 total

Quantifying and Learning Static vs. Dynamic Information in Deep Spatiotemporal Networks
IEEE Transactions on Pattern Analysis and Machine Intelligence·2024· 1 cited
Selective, Interpretable and Motion Consistent Privacy Attribute Obfuscation for Action Recognition
2024· 5 cited
Visual Concept Connectome (VCC): Open World Concept Discovery and Their Interlayer Connections in Deep Models
2024· 2 cited
Visual Concept Connectome (VCC): Open World Concept Discovery and their Interlayer Connections in Deep Models
arXiv (Cornell University)·2024Open Access
Selective, Interpretable, and Motion Consistent Privacy Attribute Obfuscation for Action Recognition
arXiv (Cornell University)·2024Open Access
Object motion representation in the macaque ventral stream – a gateway to understanding the brain’s intuitive physics engine
2024· 3 citedOpen Access
Understanding Video Transformers for Segmentation: A Survey of Application and Interpretability
arXiv (Cornell University)·2023· 1 citedOpen Access
Multiscale Memory Comparator Transformer for Few-Shot Video Segmentation
arXiv (Cornell University)·2023· 1 citedOpen Access
MED-VT: Multiscale Encoder-Decoder Video Transformer with Application to Object Segmentation
2023· 22 cited
StepFormer: Self-Supervised Step Discovery and Localization in Instructional Videos
2023· 14 cited
StepFormer: Self-supervised Step Discovery and Localization in Instructional Videos
arXiv (Cornell University)·2023· 2 citedOpen Access
MED-VT++: Unifying Multimodal Learning with a Multiscale Encoder-Decoder Video Transformer
arXiv (Cornell University)·2023· 1 citedOpen Access
Quantifying and Learning Static vs. Dynamic Information in Deep Spatiotemporal Networks
arXiv (Cornell University)·2022Open Access
Sports Video Analysis on Large-Scale Data
arXiv (Cornell University)·2022· 1 citedOpen Access
Is Appearance Free Action Recognition Possible?
arXiv (Cornell University)·2022Open Access
Integration of allocentric and egocentric visual information in a convolutional/multilayer perceptron network model of goal-directed gaze shifts
Cerebral Cortex Communications·2022· 6 citedOpen Access
A Deeper Dive Into What Deep Spatiotemporal Networks Encode: Quantifying Static vs. Dynamic Information
arXiv (Cornell University)·2022· 3 citedOpen Access
A Deeper Dive Into What Deep Spatiotemporal Networks Encode: Quantifying Static vs. Dynamic Information
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)·2022· 20 cited
P<sup>3</sup>IV: Probabilistic Procedure Planning from Instructional Videos with Weak Supervision
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)·2022· 20 cited
P3IV: Probabilistic Procedure Planning from Instructional Videos with Weak Supervision
arXiv (Cornell University)·2022· 4 citedOpen Access
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Frequent Co-authors

Christoph Feichtenhofer(11), Axel Pinz(11), Konstantinos G. Derpanis(9), Mikhail Sizintsev(5), Kevin Cannons(5), Jane C. Asmuth(3), R.J. Kolczynski(3), James R. Matey(3), Sterling E. McBride(3), Isma Hadji(3), Andrew Zisserman(3), Gilbert L. Green(2), S.C. Hsu(2), Geoffrey Egnal(2), Yanlin Guo(2), D. Hirvonen(2), M. Amabile(2), Tzong-Shyng Leu(2), He Zhao(2), John K. Tsotsos(2)