Richard P. Wildes

82 papers A* 23A 4Journal 38Unranked 17
YearRankTypeTitle / Venue / Authors
2025 J jnl
Quantifying and Learning Static vs. Dynamic Information in Deep Spatiotemporal Networks.
IEEE Trans. Pattern Anal. Mach. Intell.
Matthew Kowal, Mennatullah Siam, Md. Amirul Islam, Neil D. B. Bruce, Richard P. Wildes, Konstantinos G. Derpanis
2024 A* conf
Selective, Interpretable and Motion Consistent Privacy Attribute Obfuscation for Action Recognition.
CVPR
Filip Ilic, He Zhao, Thomas Pock, Richard P. Wildes
2024 J jnl
Selective, Interpretable, and Motion Consistent Privacy Attribute Obfuscation for Action Recognition.
CoRR
Filip Ilic, He Zhao, Thomas Pock, Richard P. Wildes
2024 A* conf
Visual Concept Connectome (VCC): Open World Concept Discovery and Their Interlayer Connections in Deep Models.
CVPR
Matthew Kowal, Richard P. Wildes, Konstantinos G. Derpanis
2024 J jnl
Visual Concept Connectome (VCC): Open World Concept Discovery and their Interlayer Connections in Deep Models.
CoRR
Matthew Kowal, Richard P. Wildes, Konstantinos G. Derpanis
2023 A* conf
MED-VT: Multiscale Encoder-Decoder Video Transformer with Application to Object Segmentation.
CVPR
Rezaul Karim, He Zhao, Richard P. Wildes, Mennatullah Siam
2023 J jnl
MED-VT: Multiscale Encoder-Decoder Video Transformer with Application to Object Segmentation.
CoRR
Rezaul Karim, He Zhao, Richard P. Wildes, Mennatullah Siam
2023 A* conf
StepFormer: Self-Supervised Step Discovery and Localization in Instructional Videos.
CVPR
Nikita Dvornik, Isma Hadji, Ran Zhang, Konstantinos G. Derpanis, Richard P. Wildes, Allan D. Jepson
2023 J jnl
StepFormer: Self-supervised Step Discovery and Localization in Instructional Videos.
CoRR
Nikita Dvornik, Isma Hadji, Ran Zhang, Konstantinos G. Derpanis, Animesh Garg, Richard P. Wildes, Allan D. Jepson
2023 J jnl
Understanding Video Transformers for Segmentation: A Survey of Application and Interpretability.
CoRR
Rezaul Karim, Richard P. Wildes
2022 A* conf
A Deeper Dive Into What Deep Spatiotemporal Networks Encode: Quantifying Static vs. Dynamic Information.
CVPR
Matthew Kowal, Mennatullah Siam, Md. Amirul Islam, Neil D. B. Bruce, Richard P. Wildes, Konstantinos G. Derpanis
2022 J jnl
A Deeper Dive Into What Deep Spatiotemporal Networks Encode: Quantifying Static vs. Dynamic Information.
CoRR
Matthew Kowal, Mennatullah Siam, Md. Amirul Islam, Neil D. B. Bruce, Richard P. Wildes, Konstantinos G. Derpanis
2022 — conf
Is Appearance Free Action Recognition Possible?
ECCV (4)
Filip Ilic, Thomas Pock, Richard P. Wildes
2022 J jnl
Is Appearance Free Action Recognition Possible?
CoRR
Filip Ilic, Thomas Pock, Richard P. Wildes
2022 A* conf
P
CVPR
He Zhao, Isma Hadji, Nikita Dvornik, Konstantinos G. Derpanis, Richard P. Wildes, Allan D. Jepson
2022 J jnl
P3IV: Probabilistic Procedure Planning from Instructional Videos with Weak Supervision.
CoRR
He Zhao, Isma Hadji, Nikita Dvornik, Konstantinos G. Derpanis, Richard P. Wildes, Allan D. Jepson
2022 J jnl
Quantifying and Learning Static vs. Dynamic Information in Deep Spatiotemporal Networks.
CoRR
Matthew Kowal, Mennatullah Siam, Md. Amirul Islam, Neil D. B. Bruce, Richard P. Wildes, Konstantinos G. Derpanis
2022 — conf
Sports Video Analysis on Large-Scale Data.
ECCV (37)
Dekun Wu, He Zhao, Xingce Bao, Richard P. Wildes
2022 J jnl
Sports Video Analysis on Large-Scale Data.
CoRR
Dekun Wu, He Zhao, Xingce Bao, Richard P. Wildes
2022 J jnl
Temporal Transductive Inference for Few-Shot Video Object Segmentation.
CoRR
Mennatullah Siam, Konstantinos G. Derpanis, Richard P. Wildes
2021 J jnl
Detecting Biological Locomotion in Video: A Computational Approach.
CoRR
Soo-Min Kang, Richard P. Wildes
2021 J jnl
Interpretable Deep Feature Propagation for Early Action Recognition.
CoRR
He Zhao, Richard P. Wildes
2021 J jnl
Review of Video Predictive Understanding: Early Action Recognition and Future Action Prediction.
CoRR
He Zhao, Richard P. Wildes
2021 A* conf
Where are you heading? Dynamic Trajectory Prediction with Expert Goal Examples.
ICCV
He Zhao, Richard P. Wildes
2020 J jnl
Deep Insights into Convolutional Networks for Video Recognition.
Int. J. Comput. Vis.
Christoph Feichtenhofer, Axel Pinz, Richard P. Wildes, Andrew Zisserman
2020 — conf
On Diverse Asynchronous Activity Anticipation.
ECCV (29)
He Zhao, Richard P. Wildes
2020 J jnl
Why Convolutional Networks Learn Oriented Bandpass Filters: Theory and Empirical Support.
CoRR
Isma Hadji, Richard P. Wildes
2018 — conf
A New Large Scale Dynamic Texture Dataset with Application to ConvNet Understanding.
ECCV (14)
Isma Hadji, Richard P. Wildes
2018 J jnl
What Do We Understand About Convolutional Networks?
CoRR
Isma Hadji, Richard P. Wildes
2018 A* conf
What Have We Learned From Deep Representations for Action Recognition?
CVPR
Christoph Feichtenhofer, Axel Pinz, Richard P. Wildes, Andrew Zisserman
2018 J jnl
What have we learned from deep representations for action recognition?
CoRR
Christoph Feichtenhofer, Axel Pinz, Richard P. Wildes, Andrew Zisserman
2017 A* conf
A Spatiotemporal Oriented Energy Network for Dynamic Texture Recognition.
ICCV
Isma Hadji, Richard P. Wildes
2017 J jnl
A Spatiotemporal Oriented Energy Network for Dynamic Texture Recognition.
CoRR
Isma Hadji, Richard P. Wildes
2017 A* conf
Spatiotemporal Multiplier Networks for Video Action Recognition.
CVPR
Christoph Feichtenhofer, Axel Pinz, Richard P. Wildes
2017 A* conf
Temporal Residual Networks for Dynamic Scene Recognition.
CVPR
Christoph Feichtenhofer, Axel Pinz, Richard P. Wildes
2016 J jnl
Dynamic Scene Recognition with Complementary Spatiotemporal Features.
IEEE Trans. Pattern Anal. Mach. Intell.
Christoph Feichtenhofer, Axel Pinz, Richard P. Wildes
2016 J jnl
Review of Action Recognition and Detection Methods.
CoRR
Soo-Min Kang, Richard P. Wildes
2016 — conf
Spatiotemporal Residual Networks for Video Action Recognition.
NIPS
Christoph Feichtenhofer, Axel Pinz, Richard P. Wildes
2016 J jnl
Spatiotemporal Residual Networks for Video Action Recognition.
CoRR
Christoph Feichtenhofer, Axel Pinz, Richard P. Wildes
2015 A* conf
Dynamically encoded actions based on spacetime saliency.
CVPR
Christoph Feichtenhofer, Axel Pinz, Richard P. Wildes
2014 A* conf
Bags of Spacetime Energies for Dynamic Scene Recognition.
CVPR
Christoph Feichtenhofer, Axel Pinz, Richard P. Wildes
2014 J jnl
Spacetime Stereo and 3D Flow via Binocular Spatiotemporal Orientation Analysis.
IEEE Trans. Pattern Anal. Mach. Intell.
Mikhail Sizintsev, Richard P. Wildes
2014 J jnl
The Applicability of Spatiotemporal Oriented Energy Features to Region Tracking.
IEEE Trans. Pattern Anal. Mach. Intell.
Kevin J. Cannons, Richard P. Wildes
2013 J jnl
Action Spotting and Recognition Based on a Spatiotemporal Orientation Analysis.
IEEE Trans. Pattern Anal. Mach. Intell.
Konstantinos G. Derpanis, Mikhail Sizintsev, Kevin J. Cannons, Richard P. Wildes
2013 A conf
Spacetime Forests with Complementary Features for Dynamic Scene Recognition.
BMVC
Christoph Feichtenhofer, Axel Pinz, Richard P. Wildes
2012 A* conf
Dynamic scene understanding: The role of orientation features in space and time in scene classification.
CVPR
Konstantinos G. Derpanis, Matthieu Lecce, Kostas Daniilidis, Richard P. Wildes
2012 J jnl
Spacetime Texture Representation and Recognition Based on a Spatiotemporal Orientation Analysis.
IEEE Trans. Pattern Anal. Mach. Intell.
Konstantinos G. Derpanis, Richard P. Wildes
2012 J jnl
Spatiotemporal Stereo and Scene Flow via Stequel Matching.
IEEE Trans. Pattern Anal. Mach. Intell.
Mikhail Sizintsev, Richard P. Wildes
2011 A conf
Classification of traffic video based on a spatiotemporal orientation analysis.
WACV
Konstantinos G. Derpanis, Richard P. Wildes
2011 A* conf
Spatiotemporal oriented energies for spacetime stereo.
ICCV
Mikhail Sizintsev, Richard P. Wildes
2010 J jnl
Coarse-to-fine stereo vision with accurate 3D boundaries.
Image Vis. Comput.
Mikhail Sizintsev, Richard P. Wildes
2010 A* conf
Dynamic texture recognition based on distributions of spacetime oriented structure.
CVPR
Konstantinos G. Derpanis, Richard P. Wildes
2010 A* conf
Efficient action spotting based on a spacetime oriented structure representation.
CVPR
Konstantinos G. Derpanis, Mikhail Sizintsev, Kevin J. Cannons, Richard P. Wildes
2010 J jnl
The Structure of Multiplicative Motions in Natural Imagery.
IEEE Trans. Pattern Anal. Mach. Intell.
Konstantinos G. Derpanis, Richard P. Wildes
2010 — conf
Visual Tracking Using a Pixelwise Spatiotemporal Oriented Energy Representation.
ECCV (4)
Kevin J. Cannons, Jacob M. Gryn, Richard P. Wildes
2009 — conf
Detecting Spatiotemporal Structure Boundaries: Beyond Motion Discontinuities.
ACCV (2)
Konstantinos G. Derpanis, Richard P. Wildes
2009 J jnl
Detecting motion patterns via direction maps with application to surveillance.
Comput. Vis. Image Underst.
Jacob M. Gryn, Richard P. Wildes, John K. Tsotsos
2009 A* conf
Early spatiotemporal grouping with a distributed oriented energy representation.
CVPR
Konstantinos G. Derpanis, Richard P. Wildes
2009 A* conf
Spatiotemporal stereo via spatiotemporal quadric element (stequel) matching.
CVPR
Mikhail Sizintsev, Richard P. Wildes
2008 J jnl
Definition and recovery of kinematic features for recognition of American sign language movements.
Image Vis. Comput.
Konstantinos G. Derpanis, Richard P. Wildes, John K. Tsotsos
2007 — conf
Spatiotemporal Oriented Energy Features for Visual Tracking.
ACCV (1)
Kevin J. Cannons, Richard P. Wildes
2006 A conf
Efficient Stereo with Accurate 3-D Boundaries.
BMVC
Mikhail Sizintsev, Richard P. Wildes
2005 — conf
Detecting Motion Patterns via Direction Maps with Application to Surveillance.
WACV/MOTION
Jacob M. Gryn, Richard P. Wildes, John K. Tsotsos
2005 — conf
Iris Recognition at a Distance.
AVBPA
Craig L. Fancourt, Luca Bogoni, Keith J. Hanna, Yanlin Guo, Richard P. Wildes, Naomi Takahashi, Uday Jain
2005 — conf
Unified Target Detection and Tracking Using Motion Coherence.
WACV/MOTION
Markus Enzweiler, Richard P. Wildes, Rainer Herpers
2004 J jnl
A stereo confidence metric using single view imagery with comparison to five alternative approaches.
Image Vis. Comput.
Geoffrey Egnal, Max Mintz, Richard P. Wildes
2004 — conf
Hand Gesture Recognition within a Linguistics-Based Framework.
ECCV (1)
Konstantinos G. Derpanis, Richard P. Wildes, John K. Tsotsos
2002 J jnl
Detecting Binocular Half-Occlusions: Empirical Comparisons of Five Approaches.
IEEE Trans. Pattern Anal. Mach. Intell.
Geoffrey Egnal, Richard P. Wildes
2002 — conf
Reliable and Fast Eye Finding in Close-up Images.
ICPR (1)
Theodore A. Camus, Richard P. Wildes
2001 A* conf
Video Georegistration: Algorithm and Quantitative Evaluation.
ICCV
Richard P. Wildes, David J. Hirvonen, Steven C. Hsu, Rakesh Kumar, W. Brian Lehman, Bogdan Matei, Wen-Yi Zhao
2001 — conf
Video to Reference Image Alignment in the Presence of Sparse Features and Appearance Change.
CVPR (2)
David J. Hirvonen, Bogdan Matei, Richard P. Wildes, Steven C. Hsu
2000 A* conf
Detecting Binocular Half-Occlusions: Empirical Comparisons of Four Approaches.
CVPR
Geoffrey Egnal, Richard P. Wildes
2000 — conf
Qualitative Spatiotemporal Analysis Using an Oriented Energy Representation.
ECCV (2)
Richard P. Wildes, James R. Bergen
2000 J jnl
Recovering Estimates of Fluid Flow from Image Sequence Data.
Comput. Vis. Image Underst.
Richard P. Wildes, Michael J. Amabile, Ann-Marie Lanzillotto, Tzong-Shyng Leu
1998 — conf
A Measure of Motion Salience for Surveillance Applications.
ICIP (3)
Richard P. Wildes
1997 J jnl
Iris recognition: an emerging biometric technology.
Proc. IEEE
Richard P. Wildes
1997 A* conf
Physically based fluid flow recovery from image sequences.
CVPR
Richard P. Wildes, Michael J. Amabile, Ann-Marie Lanzillotto, Tzong-Shyng Leu
1996 J jnl
A machine-vision system for iris recognition.
Mach. Vis. Appl.
Richard P. Wildes, Jane C. Asmuth, Gilbert L. Green, Steven C. Hsu, Raymond J. Kolczynski, James R. Matey, Sterling E. McBride
1994 A conf
A system for automated iris recognition.
WACV
Richard P. Wildes, Jane C. Asmuth, Gilbert L. Green, Stephen C. Hsu, Raymond J. Kolczynski, James R. Matey, Sterling E. McBride
1994 — conf
Singularities of the visual motion field: 3D rotation or 3D translation.
ICPR (1)
Richard P. Wildes
1993 A* conf
On the Qualitative Structure of Temporally Evolving Visual Motion Fields.
AAAI
Richard P. Wildes
1991 J jnl
Direct Recovery of Three-Dimensional Scene Geometry From Binocular Stereo Disparity.
IEEE Trans. Pattern Anal. Mach. Intell.
Richard P. Wildes