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ORCIDRichard P. Wildes
Richard Wildes – Rick Wildes
Person information
- affiliation: York University, Toronto, Ontario, Canada
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2020 – today
- 2025
[j19]Matthew Kowal
, Mennatullah Siam, Md. Amirul Islam, Neil D. B. Bruce, Richard P. Wildes, Konstantinos G. Derpanis:
Quantifying and Learning Static vs. Dynamic Information in Deep Spatiotemporal Networks. IEEE Trans. Pattern Anal. Mach. Intell. 47(1): 190-205 (2025)- 2024
- [c49]Matthew Kowal, Richard P. Wildes, Konstantinos G. Derpanis:
Visual Concept Connectome (VCC): Open World Concept Discovery and Their Interlayer Connections in Deep Models. CVPR 2024: 10895-10905 - [c48]Filip Ilic, He Zhao, Thomas Pock, Richard P. Wildes:
Selective, Interpretable and Motion Consistent Privacy Attribute Obfuscation for Action Recognition. CVPR 2024: 18730-18739 - [i21]Filip Ilic, He Zhao, Thomas Pock, Richard P. Wildes:
Selective, Interpretable, and Motion Consistent Privacy Attribute Obfuscation for Action Recognition. CoRR abs/2403.12710 (2024) - [i20]Matthew Kowal, Richard P. Wildes, Konstantinos G. Derpanis:
Visual Concept Connectome (VCC): Open World Concept Discovery and their Interlayer Connections in Deep Models. CoRR abs/2404.02233 (2024) - 2023
- [c47]Rezaul Karim, He Zhao, Richard P. Wildes, Mennatullah Siam:
MED-VT: Multiscale Encoder-Decoder Video Transformer with Application to Object Segmentation. CVPR 2023: 6323-6333 - [c46]Nikita Dvornik, Isma Hadji, Ran Zhang, Konstantinos G. Derpanis, Richard P. Wildes, Allan D. Jepson:
StepFormer: Self-Supervised Step Discovery and Localization in Instructional Videos. CVPR 2023: 18952-18961 - [i19]Rezaul Karim, He Zhao, Richard P. Wildes, Mennatullah Siam:
MED-VT: Multiscale Encoder-Decoder Video Transformer with Application to Object Segmentation. CoRR abs/2304.05930 (2023) - [i18]Nikita Dvornik, Isma Hadji, Ran Zhang, Konstantinos G. Derpanis, Animesh Garg, Richard P. Wildes, Allan D. Jepson:
StepFormer: Self-supervised Step Discovery and Localization in Instructional Videos. CoRR abs/2304.13265 (2023) - [i17]Mennatullah Siam, Rezaul Karim, He Zhao, Richard Wildes:
Multiscale Memory Comparator Transformer for Few-Shot Video Segmentation. CoRR abs/2307.07812 (2023) - [i16]Rezaul Karim, Richard P. Wildes:
Understanding Video Transformers for Segmentation: A Survey of Application and Interpretability. CoRR abs/2310.12296 (2023) - 2022
- [c45]He Zhao, Isma Hadji, Nikita Dvornik, Konstantinos G. Derpanis, Richard P. Wildes, Allan D. Jepson:
P3IV: Probabilistic Procedure Planning from Instructional Videos with Weak Supervision. CVPR 2022: 2928-2938 - [c44]Matthew Kowal, Mennatullah Siam, Md. Amirul Islam, Neil D. B. Bruce, Richard P. Wildes, Konstantinos G. Derpanis:
A Deeper Dive Into What Deep Spatiotemporal Networks Encode: Quantifying Static vs. Dynamic Information. CVPR 2022: 13979-13989 - [c43]Dekun Wu, He Zhao, Xingce Bao, Richard P. Wildes:
Sports Video Analysis on Large-Scale Data. ECCV (37) 2022: 19-36 - [c42]Filip Ilic, Thomas Pock, Richard P. Wildes:
Is Appearance Free Action Recognition Possible? ECCV (4) 2022: 156-173 - [i15]Mennatullah Siam, Konstantinos G. Derpanis, Richard P. Wildes:
Temporal Transductive Inference for Few-Shot Video Object Segmentation. CoRR abs/2203.14308 (2022) - [i14]He Zhao, Isma Hadji, Nikita Dvornik, Konstantinos G. Derpanis, Richard P. Wildes, Allan D. Jepson:
P3IV: Probabilistic Procedure Planning from Instructional Videos with Weak Supervision. CoRR abs/2205.02300 (2022) - [i13]Matthew Kowal, Mennatullah Siam, Md. Amirul Islam, Neil D. B. Bruce, Richard P. Wildes, Konstantinos G. Derpanis:
A Deeper Dive Into What Deep Spatiotemporal Networks Encode: Quantifying Static vs. Dynamic Information. CoRR abs/2206.02846 (2022) - [i12]Filip Ilic, Thomas Pock, Richard P. Wildes:
Is Appearance Free Action Recognition Possible? CoRR abs/2207.06261 (2022) - [i11]Dekun Wu, He Zhao, Xingce Bao, Richard P. Wildes:
Sports Video Analysis on Large-Scale Data. CoRR abs/2208.04897 (2022) - [i10]Matthew Kowal, Mennatullah Siam, Md. Amirul Islam, Neil D. B. Bruce, Richard P. Wildes, Konstantinos G. Derpanis:
Quantifying and Learning Static vs. Dynamic Information in Deep Spatiotemporal Networks. CoRR abs/2211.01783 (2022) - 2021
- [c41]He Zhao, Richard P. Wildes:
Where are you heading? Dynamic Trajectory Prediction with Expert Goal Examples. ICCV 2021: 7609-7618 - [i9]Soo-Min Kang, Richard P. Wildes:
Detecting Biological Locomotion in Video: A Computational Approach. CoRR abs/2105.12661 (2021) - [i8]He Zhao, Richard P. Wildes:
Interpretable Deep Feature Propagation for Early Action Recognition. CoRR abs/2107.05122 (2021) - [i7]He Zhao, Richard P. Wildes:
Review of Video Predictive Understanding: Early Action Recognition and Future Action Prediction. CoRR abs/2107.05140 (2021) - 2020
- [j18]Christoph Feichtenhofer, Axel Pinz, Richard P. Wildes, Andrew Zisserman:
Deep Insights into Convolutional Networks for Video Recognition. Int. J. Comput. Vis. 128(2): 420-437 (2020) - [c40]He Zhao, Richard P. Wildes:
On Diverse Asynchronous Activity Anticipation. ECCV (29) 2020: 781-799 - [c39]Weng-Tai Su, Gene Cheung, Richard Wildes, Chia-Wen Lin:
Graph Neural Net Using Analytical Graph Filters and Topology Optimization for Image Denoising. ICASSP 2020: 8464-8468 - [i6]Isma Hadji, Richard P. Wildes:
Why Convolutional Networks Learn Oriented Bandpass Filters: Theory and Empirical Support. CoRR abs/2011.14665 (2020)
2010 – 2019
- 2019
- [c38]He Zhao, Rick Wildes:
Spatiotemporal Feature Residual Propagation for Action Prediction. ICCV 2019: 7002-7011 - 2018
- [c37]Christoph Feichtenhofer, Axel Pinz, Richard P. Wildes, Andrew Zisserman:
What Have We Learned From Deep Representations for Action Recognition? CVPR 2018: 7844-7853 - [c36]Isma Hadji, Richard P. Wildes:
A New Large Scale Dynamic Texture Dataset with Application to ConvNet Understanding. ECCV (14) 2018: 334-351 - [i5]Christoph Feichtenhofer, Axel Pinz, Richard P. Wildes, Andrew Zisserman:
What have we learned from deep representations for action recognition? CoRR abs/1801.01415 (2018) - [i4]Isma Hadji, Richard P. Wildes:
What Do We Understand About Convolutional Networks? CoRR abs/1803.08834 (2018) - 2017
- [c35]Christoph Feichtenhofer, Axel Pinz, Richard P. Wildes:
Temporal Residual Networks for Dynamic Scene Recognition. CVPR 2017: 7435-7444 - [c34]Christoph Feichtenhofer, Axel Pinz, Richard P. Wildes:
Spatiotemporal Multiplier Networks for Video Action Recognition. CVPR 2017: 7445-7454 - [c33]Isma Hadji, Richard P. Wildes:
A Spatiotemporal Oriented Energy Network for Dynamic Texture Recognition. ICCV 2017: 3085-3093 - [i3]Isma Hadji, Richard P. Wildes:
A Spatiotemporal Oriented Energy Network for Dynamic Texture Recognition. CoRR abs/1708.06690 (2017) - 2016
- [j17]Christoph Feichtenhofer, Axel Pinz, Richard P. Wildes:
Dynamic Scene Recognition with Complementary Spatiotemporal Features. IEEE Trans. Pattern Anal. Mach. Intell. 38(12): 2389-2401 (2016) - [c32]Christoph Feichtenhofer, Axel Pinz, Richard P. Wildes:
Spatiotemporal Residual Networks for Video Action Recognition. NIPS 2016: 3468-3476 - [i2]Soo-Min Kang, Richard P. Wildes:
Review of Action Recognition and Detection Methods. CoRR abs/1610.06906 (2016) - [i1]Christoph Feichtenhofer, Axel Pinz, Richard P. Wildes:
Spatiotemporal Residual Networks for Video Action Recognition. CoRR abs/1611.02155 (2016) - 2015
- [c31]Christoph Feichtenhofer, Axel Pinz, Richard P. Wildes:
Dynamically encoded actions based on spacetime saliency. CVPR 2015: 2755-2764 - 2014
- [j16]Kevin J. Cannons, Richard P. Wildes:
The Applicability of Spatiotemporal Oriented Energy Features to Region Tracking. IEEE Trans. Pattern Anal. Mach. Intell. 36(4): 784-796 (2014) - [j15]Mikhail Sizintsev, Richard P. Wildes:
Spacetime Stereo and 3D Flow via Binocular Spatiotemporal Orientation Analysis. IEEE Trans. Pattern Anal. Mach. Intell. 36(11): 2241-2254 (2014) - [c30]Christoph Feichtenhofer, Axel Pinz, Richard P. Wildes:
Bags of Spacetime Energies for Dynamic Scene Recognition. CVPR 2014: 2681-2688 - 2013
- [j14]Konstantinos G. Derpanis, Mikhail Sizintsev, Kevin J. Cannons, Richard P. Wildes:
Action Spotting and Recognition Based on a Spatiotemporal Orientation Analysis. IEEE Trans. Pattern Anal. Mach. Intell. 35(3): 527-540 (2013) - [c29]Christoph Feichtenhofer, Axel Pinz, Richard P. Wildes:
Spacetime Forests with Complementary Features for Dynamic Scene Recognition. BMVC 2013 - [c28]Hao Zhong, Richard Wildes:
Egomotion Estimation Using Binocular Spatiotemporal Oriented Energy. BMVC 2013 - 2012
- [j13]Konstantinos G. Derpanis, Richard P. Wildes:
Spacetime Texture Representation and Recognition Based on a Spatiotemporal Orientation Analysis. IEEE Trans. Pattern Anal. Mach. Intell. 34(6): 1193-1205 (2012) - [j12]Mikhail Sizintsev, Richard P. Wildes:
Spatiotemporal Stereo and Scene Flow via Stequel Matching. IEEE Trans. Pattern Anal. Mach. Intell. 34(6): 1206-1219 (2012) - [c27]Andrei Zaharescu, Richard Wildes:
Spatiotemporal Salience via Centre-Surround Comparison of Visual Spacetime Orientations. ACCV (3) 2012: 533-546 - [c26]Konstantinos G. Derpanis, Matthieu Lecce, Kostas Daniilidis, Richard P. Wildes:
Dynamic scene understanding: The role of orientation features in space and time in scene classification. CVPR 2012: 1306-1313 - 2011
- [c25]Mikhail Sizintsev, Richard P. Wildes:
Spatiotemporal oriented energies for spacetime stereo. ICCV 2011: 1140-1147 - [c24]Konstantinos G. Derpanis, Richard P. Wildes:
Classification of traffic video based on a spatiotemporal orientation analysis. WACV 2011: 606-613 - 2010
- [j11]Mikhail Sizintsev, Richard P. Wildes:
Coarse-to-fine stereo vision with accurate 3D boundaries. Image Vis. Comput. 28(3): 352-366 (2010) - [j10]Konstantinos G. Derpanis, Richard P. Wildes:
The Structure of Multiplicative Motions in Natural Imagery. IEEE Trans. Pattern Anal. Mach. Intell. 32(7): 1310-1316 (2010) - [c23]Konstantinos G. Derpanis, Richard P. Wildes:
Dynamic texture recognition based on distributions of spacetime oriented structure. CVPR 2010: 191-198 - [c22]Konstantinos G. Derpanis, Mikhail Sizintsev, Kevin J. Cannons, Richard P. Wildes:
Efficient action spotting based on a spacetime oriented structure representation. CVPR 2010: 1990-1997 - [c21]Kevin J. Cannons, Jacob M. Gryn, Richard P. Wildes:
Visual Tracking Using a Pixelwise Spatiotemporal Oriented Energy Representation. ECCV (4) 2010: 511-524 - [c20]Andrei Zaharescu, Richard Wildes:
Anomalous Behaviour Detection Using Spatiotemporal Oriented Energies, Subset Inclusion Histogram Comparison and Event-Driven Processing. ECCV (1) 2010: 563-576
2000 – 2009
- 2009
- [j9]Jacob M. Gryn, Richard P. Wildes, John K. Tsotsos:
Detecting motion patterns via direction maps with application to surveillance. Comput. Vis. Image Underst. 113(2): 291-307 (2009) - [c19]Konstantinos G. Derpanis, Richard P. Wildes:
Detecting Spatiotemporal Structure Boundaries: Beyond Motion Discontinuities. ACCV (2) 2009: 301-312 - [c18]Konstantinos G. Derpanis, Richard P. Wildes:
Early spatiotemporal grouping with a distributed oriented energy representation. CVPR 2009: 232-239 - [c17]Mikhail Sizintsev, Richard P. Wildes:
Spatiotemporal stereo via spatiotemporal quadric element (stequel) matching. CVPR 2009: 493-500 - 2008
- [j8]Konstantinos G. Derpanis, Richard P. Wildes, John K. Tsotsos:
Definition and recovery of kinematic features for recognition of American sign language movements. Image Vis. Comput. 26(12): 1650-1662 (2008) - 2007
- [c16]Kevin J. Cannons, Richard P. Wildes:
Spatiotemporal Oriented Energy Features for Visual Tracking. ACCV (1) 2007: 532-543 - 2006
- [c15]Mikhail Sizintsev, Richard P. Wildes:
Efficient Stereo with Accurate 3-D Boundaries. BMVC 2006: 237-246 - 2005
- [c14]Craig L. Fancourt, Luca Bogoni, Keith J. Hanna, Yanlin Guo, Richard P. Wildes, Naomi Takahashi, Uday Jain:
Iris Recognition at a Distance. AVBPA 2005: 1-13 - [c13]Markus Enzweiler, Richard P. Wildes, Rainer Herpers:
Unified Target Detection and Tracking Using Motion Coherence. WACV/MOTION 2005: 66-71 - [c12]Jacob M. Gryn, Richard P. Wildes, John K. Tsotsos:
Detecting Motion Patterns via Direction Maps with Application to Surveillance. WACV/MOTION 2005: 202-209 - 2004
- [j7]Geoffrey Egnal, Max Mintz, Richard P. Wildes:
A stereo confidence metric using single view imagery with comparison to five alternative approaches. Image Vis. Comput. 22(12): 943-957 (2004) - [c11]Konstantinos G. Derpanis, Richard P. Wildes, John K. Tsotsos:
Hand Gesture Recognition within a Linguistics-Based Framework. ECCV (1) 2004: 282-296 - 2002
- [j6]Geoffrey Egnal, Richard P. Wildes:
Detecting Binocular Half-Occlusions: Empirical Comparisons of Five Approaches. IEEE Trans. Pattern Anal. Mach. Intell. 24(8): 1127-1133 (2002) - [c10]Theodore A. Camus, Richard P. Wildes:
Reliable and Fast Eye Finding in Close-up Images. ICPR (1) 2002: 389-394 - 2001
- [j5]Rakesh Kumar, 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:
Aerial video surveillance and exploitation. Proc. IEEE 89(10): 1518-1539 (2001) - [c9]David J. Hirvonen, Bogdan Matei, Richard P. Wildes, Steven C. Hsu:
Video to Reference Image Alignment in the Presence of Sparse Features and Appearance Change. CVPR (2) 2001: II:366-373 - [c8]Richard P. Wildes, David J. Hirvonen, Steven C. Hsu, Rakesh Kumar, W. Brian Lehman, Bogdan Matei, Wen-Yi Zhao:
Video Georegistration: Algorithm and Quantitative Evaluation. ICCV 2001: 343-350 - 2000
- [j4]Richard P. Wildes, Michael J. Amabile, Ann-Marie Lanzillotto, Tzong-Shyng Leu:
Recovering Estimates of Fluid Flow from Image Sequence Data. Comput. Vis. Image Underst. 80(2): 246-266 (2000) - [c7]Geoffrey Egnal, Richard P. Wildes:
Detecting Binocular Half-Occlusions: Empirical Comparisons of Four Approaches. CVPR 2000: 2466-2473 - [c6]Richard P. Wildes, James R. Bergen:
Qualitative Spatiotemporal Analysis Using an Oriented Energy Representation. ECCV (2) 2000: 768-784
1990 – 1999
- 1998
- [c5]Richard P. Wildes:
A Measure of Motion Salience for Surveillance Applications. ICIP (3) 1998: 183-187 - 1997
- [j3]Richard P. Wildes:
Iris recognition: an emerging biometric technology. Proc. IEEE 85(9): 1348-1363 (1997) - [c4]Richard P. Wildes, Michael J. Amabile, Ann-Marie Lanzillotto, Tzong-Shyng Leu:
Physically based fluid flow recovery from image sequences. CVPR 1997: 969-975 - 1996
- [j2]Richard P. Wildes, Jane C. Asmuth, Gilbert L. Green, Steven C. Hsu, Raymond J. Kolczynski, James R. Matey, Sterling E. McBride:
A machine-vision system for iris recognition. Mach. Vis. Appl. 9(1): 1-8 (1996) - 1994
- [c3]Richard P. Wildes:
Singularities of the visual motion field: 3D rotation or 3D translation. ICPR (1) 1994: 633-636 - [c2]Richard P. Wildes, Jane C. Asmuth, Gilbert L. Green, Stephen C. Hsu, Raymond J. Kolczynski, James R. Matey, Sterling E. McBride:
A system for automated iris recognition. WACV 1994: 121-128 - 1993
- [c1]Richard P. Wildes:
On the Qualitative Structure of Temporally Evolving Visual Motion Fields. AAAI 1993: 844-849 - 1991
- [j1]Richard P. Wildes:
Direct Recovery of Three-Dimensional Scene Geometry From Binocular Stereo Disparity. IEEE Trans. Pattern Anal. Mach. Intell. 13(8): 761-774 (1991)
Coauthor Index
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