Direct Recovery of Three-Dimensional Scene Geometry From Binocular Stereo Disparity. - Richard P. Wildes (IEEE Trans. Pattern Anal. Mach. Intell., 1991)

On the Qualitative Structure of Temporally Evolving Visual Motion Fields. - Richard P. Wildes (AAAI, 1993)

Singularities of the visual motion field: 3D rotation or 3D translation. - Richard P. Wildes (ICPR (1), 1994)

A system for automated iris recognition. - Richard P. Wildes; Jane C. Asmuth; Gilbert L. Green; Stephen C. Hsu; Raymond J. Kolczynski; James R. Matey; Sterling E. McBride (WACV, 1994)

A machine-vision system for iris recognition. - Richard P. Wildes; Jane C. Asmuth; Gilbert L. Green; Steven C. Hsu; Raymond J. Kolczynski; James R. Matey; Sterling E. McBride (Mach. Vis. Appl., 1996)

Physically based fluid flow recovery from image sequences. - Richard P. Wildes; Michael J. Amabile; Ann-Marie Lanzillotto; Tzong-Shyng Leu (CVPR, 1997)

Iris recognition: an emerging biometric technology. - Richard P. Wildes (Proc. IEEE, 1997)

A Measure of Motion Salience for Surveillance Applications. - Richard P. Wildes (ICIP (3), 1998)

Detecting Binocular Half-Occlusions: Empirical Comparisons of Four Approaches. - Geoffrey Egnal; Richard P. Wildes (CVPR, 2000)

Qualitative Spatiotemporal Analysis Using an Oriented Energy Representation. - Richard P. Wildes; James R. Bergen (ECCV (2), 2000)

Recovering Estimates of Fluid Flow from Image Sequence Data. - Richard P. Wildes; Michael J. Amabile; Ann-Marie Lanzillotto; Tzong-Shyng Leu (Comput. Vis. Image Underst., 2000)

Video to Reference Image Alignment in the Presence of Sparse Features and Appearance Change. - David J. Hirvonen; Bogdan Matei; Richard P. Wildes; Steven C. Hsu (CVPR (2), 2001)

Video Georegistration: Algorithm and Quantitative Evaluation. - Richard P. Wildes; David J. Hirvonen; Steven C. Hsu; Rakesh Kumar 001; W. Brian Lehman; Bogdan Matei; Wen-Yi Zhao (ICCV, 2001)

Aerial video surveillance and exploitation. - Rakesh Kumar 001; Harpreet S. Sawhney; Supun Samarasekera; Steven C. Hsu; Hai Tao; Yanlin Guo; Keith J. Hanna; Art Pope; Richard Wildes; David J. Hirvonen; Michael W. Hansen; Peter Burt (Proc. IEEE, 2001)

Reliable and Fast Eye Finding in Close-up Images. - Theodore A. Camus; Richard P. Wildes (ICPR (1), 2002)

Detecting Binocular Half-Occlusions: Empirical Comparisons of Five Approaches. - Geoffrey Egnal; Richard P. Wildes (IEEE Trans. Pattern Anal. Mach. Intell., 2002)

Hand Gesture Recognition within a Linguistics-Based Framework. - Konstantinos G. Derpanis; Richard P. Wildes; John K. Tsotsos (ECCV (1), 2004)

A stereo confidence metric using single view imagery with comparison to five alternative approaches. - Geoffrey Egnal; Max Mintz; Richard P. Wildes (Image Vis. Comput., 2004)

Iris Recognition at a Distance. - Craig L. Fancourt; Luca Bogoni; Keith J. Hanna; Yanlin Guo; Richard P. Wildes; Naomi Takahashi; Uday Jain (AVBPA, 2005)

Unified Target Detection and Tracking Using Motion Coherence. - Markus Enzweiler; Richard P. Wildes; Rainer Herpers (WACV/MOTION, 2005)

Efficient Stereo with Accurate 3-D Boundaries. - Mikhail Sizintsev; Richard P. Wildes (BMVC, 2006)

Spatiotemporal Oriented Energy Features for Visual Tracking. - Kevin J. Cannons; Richard P. Wildes (ACCV (1), 2007)

Definition and recovery of kinematic features for recognition of American sign language movements. - Konstantinos G. Derpanis; Richard P. Wildes; John K. Tsotsos (Image Vis. Comput., 2008)

Detecting Spatiotemporal Structure Boundaries: Beyond Motion Discontinuities. - Konstantinos G. Derpanis; Richard P. Wildes (ACCV (2), 2009)

Early spatiotemporal grouping with a distributed oriented energy representation. - Konstantinos G. Derpanis; Richard P. Wildes (CVPR, 2009)

Spatiotemporal stereo via spatiotemporal quadric element (stequel) matching. - Mikhail Sizintsev; Richard P. Wildes (CVPR, 2009)

Detecting motion patterns via direction maps with application to surveillance. - Jacob M. Gryn; Richard P. Wildes; John K. Tsotsos (Comput. Vis. Image Underst., 2009)

Efficient action spotting based on a spacetime oriented structure representation. - Konstantinos G. Derpanis; Mikhail Sizintsev; Kevin J. Cannons; Richard P. Wildes (CVPR, 2010)

Dynamic texture recognition based on distributions of spacetime oriented structure. - Konstantinos G. Derpanis; Richard P. Wildes (CVPR, 2010)

Visual Tracking Using a Pixelwise Spatiotemporal Oriented Energy Representation. - Kevin J. Cannons; Jacob M. Gryn; Richard P. Wildes (ECCV (4), 2010)

Anomalous Behaviour Detection Using Spatiotemporal Oriented Energies, Subset Inclusion Histogram Comparison and Event-Driven Processing. - Andrei Zaharescu; Richard Wildes (ECCV (1), 2010)

Coarse-to-fine stereo vision with accurate 3D boundaries. - Mikhail Sizintsev; Richard P. Wildes (Image Vis. Comput., 2010)

The Structure of Multiplicative Motions in Natural Imagery. - Konstantinos G. Derpanis; Richard P. Wildes (IEEE Trans. Pattern Anal. Mach. Intell., 2010)

Spatiotemporal oriented energies for spacetime stereo. - Mikhail Sizintsev; Richard P. Wildes (ICCV, 2011)

Classification of traffic video based on a spatiotemporal orientation analysis. - Konstantinos G. Derpanis; Richard P. Wildes (WACV, 2011)

Spatiotemporal Salience via Centre-Surround Comparison of Visual Spacetime Orientations. - Andrei Zaharescu; Richard Wildes (ACCV (3), 2012)

Dynamic scene understanding: The role of orientation features in space and time in scene classification. - Konstantinos G. Derpanis; Matthieu Lecce; Kostas Daniilidis; Richard P. Wildes (CVPR, 2012)

Spacetime Texture Representation and Recognition Based on a Spatiotemporal Orientation Analysis. - Konstantinos G. Derpanis; Richard P. Wildes (IEEE Trans. Pattern Anal. Mach. Intell., 2012)

Spatiotemporal Stereo and Scene Flow via Stequel Matching. - Mikhail Sizintsev; Richard P. Wildes (IEEE Trans. Pattern Anal. Mach. Intell., 2012)

Spacetime Forests with Complementary Features for Dynamic Scene Recognition. - Christoph Feichtenhofer; Axel Pinz; Richard P. Wildes (BMVC, 2013)

Egomotion Estimation Using Binocular Spatiotemporal Oriented Energy. - Hao Zhong; Richard Wildes (BMVC, 2013)

Action Spotting and Recognition Based on a Spatiotemporal Orientation Analysis. - Konstantinos G. Derpanis; Mikhail Sizintsev; Kevin J. Cannons; Richard P. Wildes (IEEE Trans. Pattern Anal. Mach. Intell., 2013)

Bags of Spacetime Energies for Dynamic Scene Recognition. - Christoph Feichtenhofer; Axel Pinz; Richard P. Wildes (CVPR, 2014)

The Applicability of Spatiotemporal Oriented Energy Features to Region Tracking. - Kevin J. Cannons; Richard P. Wildes (IEEE Trans. Pattern Anal. Mach. Intell., 2014)

Spacetime Stereo and 3D Flow via Binocular Spatiotemporal Orientation Analysis. - Mikhail Sizintsev; Richard P. Wildes (IEEE Trans. Pattern Anal. Mach. Intell., 2014)

Dynamically encoded actions based on spacetime saliency. - Christoph Feichtenhofer; Axel Pinz; Richard P. Wildes (CVPR, 2015)

Spatiotemporal Residual Networks for Video Action Recognition. - Christoph Feichtenhofer; Axel Pinz; Richard P. Wildes (NIPS, 2016)

Review of Action Recognition and Detection Methods. - Soo-Min Kang; Richard P. Wildes (CoRR, 2016)

Dynamic Scene Recognition with Complementary Spatiotemporal Features. - Christoph Feichtenhofer; Axel Pinz; Richard P. Wildes (IEEE Trans. Pattern Anal. Mach. Intell., 2016)

Temporal Residual Networks for Dynamic Scene Recognition. - Christoph Feichtenhofer; Axel Pinz; Richard P. Wildes (CVPR, 2017)

Spatiotemporal Multiplier Networks for Video Action Recognition. - Christoph Feichtenhofer; Axel Pinz; Richard P. Wildes (CVPR, 2017)

A Spatiotemporal Oriented Energy Network for Dynamic Texture Recognition. - Isma Hadji; Richard P. Wildes (ICCV, 2017)

What Have We Learned From Deep Representations for Action Recognition? - Christoph Feichtenhofer; Axel Pinz; Richard P. Wildes; Andrew Zisserman (CVPR, 2018)

A New Large Scale Dynamic Texture Dataset with Application to ConvNet Understanding. - Isma Hadji; Richard P. Wildes (ECCV (14), 2018)

What Do We Understand About Convolutional Networks? - Isma Hadji; Richard P. Wildes (CoRR, 2018)

Spatiotemporal Feature Residual Propagation for Action Prediction. - He Zhao 004; Rick Wildes (ICCV, 2019)

On Diverse Asynchronous Activity Anticipation. - He Zhao 004; Richard P. Wildes (ECCV (29), 2020)

Graph Neural Net Using Analytical Graph Filters and Topology Optimization for Image Denoising. - Weng-Tai Su; Gene Cheung; Richard Wildes; Chia-Wen Lin (ICASSP, 2020)

Why Convolutional Networks Learn Oriented Bandpass Filters: Theory and Empirical Support. - Isma Hadji; Richard P. Wildes (CoRR, 2020)

Deep Insights into Convolutional Networks for Video Recognition. - Christoph Feichtenhofer; Axel Pinz; Richard P. Wildes; Andrew Zisserman (Int. J. Comput. Vis., 2020)

Where are you heading? Dynamic Trajectory Prediction with Expert Goal Examples. - He Zhao 004; Richard P. Wildes (ICCV, 2021)

Detecting Biological Locomotion in Video: A Computational Approach. - Soo-Min Kang; Richard P. Wildes (CoRR, 2021)

Interpretable Deep Feature Propagation for Early Action Recognition. - He Zhao 004; Richard P. Wildes (CoRR, 2021)

Review of Video Predictive Understanding: Early Action Recognition and Future Action Prediction. - He Zhao 004; Richard P. Wildes (CoRR, 2021)

P3IV: Probabilistic Procedure Planning from Instructional Videos with Weak Supervision. - He Zhao 004; Isma Hadji; Nikita Dvornik; Konstantinos G. Derpanis; Richard P. Wildes; Allan D. Jepson (CVPR, 2022)

A Deeper Dive Into What Deep Spatiotemporal Networks Encode: Quantifying Static vs. Dynamic Information. - Matthew Kowal; Mennatullah Siam; Md. Amirul Islam; Neil D. B. Bruce; Richard P. Wildes; Konstantinos G. Derpanis (CVPR, 2022)

Is Appearance Free Action Recognition Possible? - Filip Ilic; Thomas Pock; Richard P. Wildes (ECCV (4), 2022)

Sports Video Analysis on Large-Scale Data. - Dekun Wu; He Zhao 004; Xingce Bao; Richard P. Wildes (ECCV (37), 2022)

Temporal Transductive Inference for Few-Shot Video Object Segmentation. - Mennatullah Siam; Konstantinos G. Derpanis; Richard P. Wildes (CoRR, 2022)

P3IV: Probabilistic Procedure Planning from Instructional Videos with Weak Supervision. - He Zhao 004; Isma Hadji; Nikita Dvornik; Konstantinos G. Derpanis; Richard P. Wildes; Allan D. Jepson (CoRR, 2022)

StepFormer: Self-Supervised Step Discovery and Localization in Instructional Videos. - Nikita Dvornik; Isma Hadji; Ran Zhang; Konstantinos G. Derpanis; Richard P. Wildes; Allan D. Jepson (CVPR, 2023)

MED-VT: Multiscale Encoder-Decoder Video Transformer with Application to Object Segmentation. - Rezaul Karim; He Zhao 004; Richard P. Wildes; Mennatullah Siam (CVPR, 2023)

StepFormer: Self-supervised Step Discovery and Localization in Instructional Videos. - Nikita Dvornik; Isma Hadji; Ran Zhang; Konstantinos G. Derpanis; Animesh Garg; Richard P. Wildes; Allan D. Jepson (CoRR, 2023)

Multiscale Memory Comparator Transformer for Few-Shot Video Segmentation. - Mennatullah Siam; Rezaul Karim; He Zhao 004; Richard Wildes (CoRR, 2023)

Understanding Video Transformers for Segmentation: A Survey of Application and Interpretability. - Rezaul Karim; Richard P. Wildes (CoRR, 2023)

Selective, Interpretable and Motion Consistent Privacy Attribute Obfuscation for Action Recognition. - Filip Ilic; He Zhao 004; Thomas Pock; Richard P. Wildes (CVPR, 2024)

Visual Concept Connectome (VCC): Open World Concept Discovery and Their Interlayer Connections in Deep Models. - Matthew Kowal; Richard P. Wildes; Konstantinos G. Derpanis (CVPR, 2024)

Quantifying and Learning Static vs. Dynamic Information in Deep Spatiotemporal Networks. - Matthew Kowal; Mennatullah Siam; Md. Amirul Islam; Neil D. B. Bruce; Richard P. Wildes; Konstantinos G. Derpanis (IEEE Trans. Pattern Anal. Mach. Intell., 2025)