| 2024 | CVPR | Selective, Interpretable and Motion Consistent Privacy Attribute Obfuscation for Action Recognition. | Filip Ilic, He Zhao, Thomas Pock, Richard P. Wildes |
| 2024 | CVPR | Visual Concept Connectome (VCC): Open World Concept Discovery and Their Interlayer Connections in Deep Models. | Matthew Kowal, Richard P. Wildes, Konstantinos G. Derpanis |
| 2023 | CVPR | 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 |
| 2023 | CVPR | MED-VT: Multiscale Encoder-Decoder Video Transformer with Application to Object Segmentation. | Rezaul Karim, He Zhao, Richard P. Wildes, Mennatullah Siam |
| 2022 | CVPR | P | He Zhao, Isma Hadji, Nikita Dvornik, Konstantinos G. Derpanis, Richard P. Wildes, Allan D. Jepson |
| 2022 | CVPR | 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 |
| 2022 | ECCV | Is Appearance Free Action Recognition Possible? | Filip Ilic, Thomas Pock, Richard P. Wildes |
| 2022 | ECCV | Sports Video Analysis on Large-Scale Data. | Dekun Wu, He Zhao, Xingce Bao, Richard P. Wildes |
| 2021 | ICCV | Where are you heading? Dynamic Trajectory Prediction with Expert Goal Examples. | He Zhao, Richard P. Wildes |
| 2020 | ECCV | On Diverse Asynchronous Activity Anticipation. | He Zhao, Richard P. Wildes |
| 2018 | CVPR | What Have We Learned From Deep Representations for Action Recognition? | Christoph Feichtenhofer, Axel Pinz, Richard P. Wildes, Andrew Zisserman |
| 2018 | ECCV | A New Large Scale Dynamic Texture Dataset with Application to ConvNet Understanding. | Isma Hadji, Richard P. Wildes |
| 2017 | CVPR | Temporal Residual Networks for Dynamic Scene Recognition. | Christoph Feichtenhofer, Axel Pinz, Richard P. Wildes |
| 2017 | CVPR | Spatiotemporal Multiplier Networks for Video Action Recognition. | Christoph Feichtenhofer, Axel Pinz, Richard P. Wildes |
| 2017 | ICCV | A Spatiotemporal Oriented Energy Network for Dynamic Texture Recognition. | Isma Hadji, Richard P. Wildes |
| 2015 | CVPR | Dynamically encoded actions based on spacetime saliency. | Christoph Feichtenhofer, Axel Pinz, Richard P. Wildes |
| 2014 | CVPR | Bags of Spacetime Energies for Dynamic Scene Recognition. | Christoph Feichtenhofer, Axel Pinz, Richard P. Wildes |
| 2013 | BMVC | Spacetime Forests with Complementary Features for Dynamic Scene Recognition. | Christoph Feichtenhofer, Axel Pinz, Richard P. Wildes |
| 2012 | CVPR | 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 |
| 2011 | ICCV | Spatiotemporal oriented energies for spacetime stereo. | Mikhail Sizintsev, Richard P. Wildes |
| 2011 | WACV | Classification of traffic video based on a spatiotemporal orientation analysis. | Konstantinos G. Derpanis, Richard P. Wildes |
| 2010 | CVPR | Efficient action spotting based on a spacetime oriented structure representation. | Konstantinos G. Derpanis, Mikhail Sizintsev, Kevin J. Cannons, Richard P. Wildes |
| 2010 | CVPR | Dynamic texture recognition based on distributions of spacetime oriented structure. | Konstantinos G. Derpanis, Richard P. Wildes |
| 2010 | ECCV | Visual Tracking Using a Pixelwise Spatiotemporal Oriented Energy Representation. | Kevin J. Cannons, Jacob M. Gryn, Richard P. Wildes |
| 2009 | ACCV | Detecting Spatiotemporal Structure Boundaries: Beyond Motion Discontinuities. | Konstantinos G. Derpanis, Richard P. Wildes |
| 2009 | CVPR | Early spatiotemporal grouping with a distributed oriented energy representation. | Konstantinos G. Derpanis, Richard P. Wildes |
| 2009 | CVPR | Spatiotemporal stereo via spatiotemporal quadric element (stequel) matching. | Mikhail Sizintsev, Richard P. Wildes |
| 2007 | ACCV | Spatiotemporal Oriented Energy Features for Visual Tracking. | Kevin J. Cannons, Richard P. Wildes |
| 2006 | BMVC | Efficient Stereo with Accurate 3-D Boundaries. | Mikhail Sizintsev, Richard P. Wildes |
| 2005 | WACV | Unified Target Detection and Tracking Using Motion Coherence. | Markus Enzweiler, Richard P. Wildes, Rainer Herpers |
| 2005 | WACV | Detecting Motion Patterns via Direction Maps with Application to Surveillance. | Jacob M. Gryn, Richard P. Wildes, John K. Tsotsos |
| 2004 | ECCV | Hand Gesture Recognition within a Linguistics-Based Framework. | Konstantinos G. Derpanis, Richard P. Wildes, John K. Tsotsos |
| 2002 | ICPR | Reliable and Fast Eye Finding in Close-up Images. | Theodore A. Camus, Richard P. Wildes |
| 2001 | CVPR | 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 |
| 2001 | ICCV | Video Georegistration: Algorithm and Quantitative Evaluation. | Richard P. Wildes, David J. Hirvonen, Steven C. Hsu, Rakesh Kumar, W. Brian Lehman, Bogdan Matei, Wen-Yi Zhao |
| 2000 | CVPR | Detecting Binocular Half-Occlusions: Empirical Comparisons of Four Approaches. | Geoffrey Egnal, Richard P. Wildes |
| 2000 | ECCV | Qualitative Spatiotemporal Analysis Using an Oriented Energy Representation. | Richard P. Wildes, James R. Bergen |
| 1998 | ICIP | A Measure of Motion Salience for Surveillance Applications. | Richard P. Wildes |
| 1997 | CVPR | Physically based fluid flow recovery from image sequences. | Richard P. Wildes, Michael J. Amabile, Ann-Marie Lanzillotto, Tzong-Shyng Leu |
| 1994 | ICPR | Singularities of the visual motion field: 3D rotation or 3D translation. | Richard P. Wildes |
| 1994 | WACV | 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 |
| 1993 | AAAI | On the Qualitative Structure of Temporally Evolving Visual Motion Fields. | Richard P. Wildes |