Publications
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2023
- N. Dvornik, I. Hadji, R. Zhang, K. G. Derpanis, R. P. Wildes and A. D. Jepson, StepFormer: Self-supervised step discovery and localization in instructional videos, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023.
- R. Karim, H. Zhao, R. P. Wildes and M. Siam, MED-VT: Multiscale Encoder-Decoder Video Transformer with Application to Object Segmentation, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023.
- R. Karim and R. P. Wildes, Understanding video transformers for segmentation: A survey of application and interpretability, arXiv e-print arXiv:2310.112296v1, 2023.
2022
- P. Abdedi Khohoozani, V. Bharmauria, A. Schutz, R. P. Wildes and J. D. Crawford, Integration of allocentric and egocentric visual information in a convolutional/multilayer perceptron network model of goal-directed gaze shifts, Cerebral Cortex Communications, 3 (3), 2022.
- F. Ilic, T. Pock and R. P. Wildes, Is appearance free action recognition possible?, Proceedings of the European Conference on Computer Vision (ECCV), 2022.
- M. Kowal, M. Siam, Md A. Islam, N. D. B. Bruce, R. P. Wildes and K. G. Derpanis, A deeper dive into what deep spatiotemporal networks encode: Quantifying static vs. dynamic information, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022.
- H. Zhao, I. Hadji, N. Dvornik, K. G. Derpanis, R. P. Wildes and A. D. Jepson, P3IV: Probabilistic procedure planning from instructional videos with weak supervision, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022.
- D. Wu, H. Zhao, X. Bao and R. P. Wildes, Sports video analysis on large-scale data, Proceedings of the European Conference on Computer Vision (ECCV), 2022.
2021
- S. M. Kang and R. P. Wildes, Detecting biological locomotion in video: A computational approach, arXiv e-print: arXiv:2015.12661v1, 2021.
- H. Zhao and R. P. Wildes, Review of video predictive understanding: Early action recognition and future action prediction, arXiv e-print: arXiv:2017.05140v1, 2021.
- H. Zhao and R. P. Wildes, Interpretable deep feature propagation for early action recognition, arXiv e-print arXiv:2107.05122, 2021.
- H. Zhao and R. P. Wildes, Where are you heading? Dynamic trajectory prediction with expert goal examples, Proceedings of the IEEE International Conference on Computer Vision (ICCV), 2021.
2020
- I. Hadji and R. P. Wildes, Why convolutional networks learn oriented bandpass filters: Theory and empirical support, arXiv e-print arXiv:2011.14665v1, 2020.
- W. Su, G. Cheung, R. P. Wildes and C.-W. Lin, Graph neural net using analytical graph filters and topology optimization for image denoising, Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2020.
- H. Zhao and R. P. Wildes, On diverse asynchronous activity anticipation, Proceedings of the European Conference on Computer Vision (ECCV), 2020.
2019
2018
- C. Feichtenhofer, A. Pinz, R. P. Wildes and A. Zisserman, What have we learned from deep representations for action recognition?, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018.
- I. Hadji and R. P. Wildes, A new large scale dynamic texture dataset with application to convnet understanding, Proceedings of the European Conference on Computer Vision (ECCV), 2018.
- I. Hadji and R. P. Wildes, What do we understand about convolutional networks?, arXiv e-print arXiv:1803:08834v1, 2018.
- A. D. Speers, B. Ma, W. R. Jarnagin, S. Himidan, A. L. Simpson and R. P. Wildes, Fast and accurate vision-based stereo reconstruction and motion estimation for image-guided liver surgery, Workshop on Augmented Environment Computer Assistend Interventions (AE-CAI) in conjunction with the Conference on Medical Image Computing and Computer Assisted Interventions (MICCAI), published in Health Care Technology Letters, 2018.
2017
- I. Hadji and R. P. Wildes, A spatiotemporal oriented energy network for dynamic texture recognition, Proceedings of the IEEE International Conference on Computer Vision (ICCV), 2017.
- C. Feichtenhofer, A. Pinz and R. P. Wildes, Spatiotemporal multiplier networks for video action recognition, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017.
- C. Feichtenhofer, A. Pinz and R. P. Wildes, Temporal residual networks for dynamic scene recognition, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017.
2016
- C. Feichtenhofer, A. Pinz and R. P. Wildes, Dynamic scene recognition with complementary spatiotemporal features, IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI) 38 (12), 2389-2401, 2016.
- C. Feichtenhofer, A. Pinz and R. P. Wildes, Spatiotemporal residual networks for video action recognition, Proceedings of the Conference on Neural Information Processing Systems (NIPS), 2016.
- H. Gao and R. P. Wildes, Background Image Modelling for Change Detection, York University Technical Report EECS-2016-01, January 7, 2016.
- S. M. Kang and R. P. Wildes, Review of action recognition and detection methods, arXiv e-print arXiv:1610.06906, 2016
2015
2014
- K. Cannons and R.P. Wildes, The applicability of spatiotemporal oriented energy features to region tracking, IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI) 36 (4), 784-796, 2014.
- C. Feichtenhofer, A. Pinz and R.P. Wildes, Bags of spacetime energies for dynamic scene recognition, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2014.
- M. Sizintsev and R.P. Wildes, Spacetime stereo and 3D scene flow via binocular spatiotemporal orientation analysis, IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI) 36 (11), 2241-2254, 2014.
- S. Vosoughi, E. Ameli and R. P. Wildes, Evaluation of Computer Vision Stereo Algorithms for Surgical Applications, York University Technical Report EECS-2014-01, February 10, 2014.
2013
- K.G. Derpanis, M. Sizintsev, K. Cannons and R.P. Wildes, Action spotting and recognition based on a spatiotemporal orientation analysis, IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI) 35, 2013.
- K. Cannons and R. P. Wildes, A Unifying Theoretical Framework for Region Tracking, York University Technical Report CSE-2013-04, February 8, 2013.
- C. Feichtenhofer. A. Pinz and R. P. Wildes, Spacetime forests with complementary features for dynamic scene recognition, In Proceedings of the British Machine Vision Conference (BMVC), 2013.
- M. Sizintsev and R. P. Wildes, Stereoscopic Datasets and Algorithm Evaluation for Driving Scenarios, York University Technical Report CSE-2013-06, June 10, 2013.
- H. Zhong and R. P. Wildes, Egomotion estimation using binocular spatiotemporal oriented energy, In Proceedings of the British Machine Vision Conference (BMVC), 2013.
2012
- K.G. Derpanis, M. Lecce, K. Daniilidis and R.P. Wildes, Dynamic Scene Understanding: The Role of Orientation Features in Space and Time in Scene Classification, In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2012.
- K.G. Derpanis and R.P. Wildes, Spacetime texture representation and recognition based on a spatiotemporal orientation analysis, IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI) 34 (6), 1193-1205, 2012.
- M. Sizintsev and R.P. Wildes, Spatiotemporal Stereo and Scene Flow via Stequel Matching, IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI) 34 (6), 1206-1219, 2012.
- A. Zaharescu and R. P. Wildes, Spatiotemporal Salience via Centre-Surround Comparison of Visual Spacetime Orientations, In Proceedings of the Asian Conference on Computer Vision (ACCV), 2012.
2011
2010
- K. Cannons, J.M. Gryn and R.P. Wildes, Visual Tracking using a Pixelwise Spatiotemporal Oriented Energy Representation, In Proceedings of the European Conference on Computer Vision (ECCV), 2010, pp. 511-524.
- K.G. Derpanis and R.P. Wildes, Dynamic Texture Recognition based on Distributions of Spacetime Oriented Structure, In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2010.
- K.G. Derpanis, M. Sizintsev, K. Cannons, and R.P. Wildes, Efficient Action Spotting based on a Spacetime Oriented Structure Representation, In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2010.
- K.G. Derpanis and R.P. Wildes, The Structure of Multiplicative Motions in Natural Imagery, IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 32(7), pp. 1310-1316, 2010.
- M. Sizintsev and R. Wildes, Coarse-to-fine stereo vision with accurate 3D boundaries, Image and Vision Computing (IVC), 28, pp. 352-366, 2010.
- A. Zaharescu and R.P. Wildes, Anomalous Behaviour Detection using Spatiotemporal Oriented Energies, Subset Inclusion Histogram Comparison and Event-Driven Processing, European Conference on Computer Vision (ECCV), 2010, pp. 563-576.
- V. Zholudev and R. P. Wildes, Video-to-reference image indexing. In K. Niall (Ed.) Vision and Displays for Military and Security Applications, Springer: New York, 2010.
2009
- K.G. Derpanis and R.P. Wildes, Detecting Spatiotemporal Structure Boundaries: Beyond Motion Discontinuities, In Proceedings of the Asian Conference on Computer Vision (ACCV), 2009.
- K.G. Derpanis and R.P. Wildes, Early spatiotemporal grouping with a distributed oriented energy representation, In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2009.
- J.M. Gryn, R.P. Wildes and J.K. Tsotsos, Detecting Motion Patterns via Direction Maps with Application to Surveillance, Computer Vision and Image Understanding (CVIU), 113(2), pp. 291-307, 2009
- M. Sizintsev, A Review of Stereo and Motion Integration: Stereomotion, York University Technical Report CSE-2009-06, October 26, 2009
- M. Sizintsev and R. Wildes, Spatiotemporal stereo via spatiotemporal quadric element (stequel) matching. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2009.
2008
- K. Cannons, A Review of Visual Tracking, York University Technical Report CSE-2008-07, September 16, 2008
- K.G. Derpanis, R.P. Wildes and J.K. Tsotsos, Definition and Recovery of Kinematic Features for Recognition of American Sign Language Movements, Image and Vision Computing (IVC), 26 (12), pp. 1650-1662
- M. Sizintsev, Hierarchical stereo with thin structures and transparency, In Proceedings of the Fifth Canadian Conference on Computer and Robot Vision (CRV'08), pp. 97-104, 2008
- M. Sizintsev, K.G. Derpanis and A. Hogue, Histogram-Based Search: A Comparative Study, In Proceedings of the IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2008
- M. Sizintsev and R.P. Wildes, Spatiotemporal Stereo via Spatiotemporal Quadric Element (Stequel) Matching, York University Technical Report CSE2008-04, July 11, 2008.
2007
- K. Cannons and R.P. Wildes, Spatiotemporal Oriented Energy Features for Visual Tracking, ACCV 2007, pp532-543
- K. Cannons and R.P. Wildes, Spatiotemporal Oriented Energy Features for Visual Tracking York University Technical Report CSE2007-02, May 22, 2007
- K.G. Derpanis, E.T.H. Leung and M. Sizintsev, Fast Scale-Space Feature Representations by Generalized Integral Images York University Technical Report CSE2007-01, January 18, 2007
- K.G. Derpanis, E.T.H. Leung and M. Sizintsev, Fast Scale-Space Feature Representations by Generalized Integral Images, In Proceedings of the IEEE International Conference on Image Processing, Vol. 4, pp.521-524, 2007.
- S. Se, P. Jasiobedzki and R. Wildes, Stereo-Vision Based 3D Modeling of Space Structures, In Proceedings of SPIE Vol. 6555: Sensors and Systems for Space Applications Orlando, Florida, April 2007
- M. Sizintsev and R. P. Wildes, Computational analysis of binocular half-occlusions. In L. Harris and M. Jenkin (Eds.) Computational Vision in Neural and Machine Systems, Cambrdige University Press: Cambridge, UK, 2007. (See earlier.)
2006
- K.G. Derpanis, Characterizing Image Motion York University Technical Report CSE-2006-06, June 12, 2006
- M. Sizintsev and R.P. Wildes, Coarse-to-Fine Stereo Vision with Accurate 3-D Boundaries York University Technical Report CS-2006-07, June 28, 2006
- M. Sizintsev and R.P. Wildes, Efficient stereo with accurate 3-D boundaries. In Proceedings of the British Machine Vision Conference (BMVC), pp. 237-246, 2006.
- V. Zholudev and R.P. Wildes, Toward Video to Geospatial Reference Image Indexing, York University Technical Report CS-2006-03, May 15, 2006
2005
- K.G. Derpanis and J.M. Gryn, Three-Dimensional nth Derivative of Gaussian Separable Steerable Filters, ICIP 2005, vol III, pp553-556.
- M. Enzweiler, R.P. Wildes and R. Herpers, Unified Target Detection and Tracking Using Motion Coherence, In Proceedings of the IEEE Workshop on Motion and Video Computing, 2005, pp66-71
- J.M. Gryn, R.P. Wildes and J.K. Tsotsos, Detecting Motion Patterns via Direction Maps with Application to Surveillance, IEEE Workshop on Applications of Computer Vision (WACV), 2005, pp202-209
- J.C. Martinez-Trujillo, J.K. Tsotsos, E. Simine, M. Pomplun, R.P. Wildes, S. Treue, H.J. Heinze and J.M. Hopf, Selectivity for speed gradients in human area {MT/V5}, Neuroreport 16 (5), 435-438, 2005.
- M. Sizintsev and R. P. Wildes, Computational Analysis of Binocular Half-Occlusions, York University Technical Report CS-2005-12, September 15, 2005
- L. Wilcox, R. Wildes, D. Lakra and R. Spengler, The contribution of binocular and monocular texture elements to depth ordering. Presentation by L. Wilcox at Vision Sciences Society, 2005.
- R.P. Wildes, Iris Recognition, In J. Wayman, A. Jain, D. Maltoni and D. Maio (Eds.), Biometric Authentication: Technologies, Systems, Evaluations and Legal Issues, London: Springer, 2005.
2004
- Derpanis, K.G. and Gryn, J.M., Three-Dimensional nth Derivative of Gaussian Separable Steerable Filters, York University Technical Report CS-2004-05, November 22, 2004
- Derpanis, K.G., R.P. Wildes and J.K. Tsotsos, Hand Gesture Recognition within a Linguistics-Based Framework, European Conference on Computer Vision (ECCV), 2004 pp 282-296
- Derpanis, K.G., R.P. Wildes and J.K. Tsotsos, Vision-Based Gesture Recognition within a Linguistics-Based Framework, York University Technical Report CS-2004-02, July 12, 2004
- G. Egnal, M. Mintz and R.P. Wildes, A stereo confidence metric using single view imagery with comparison to five alternative approaches. Image and Vision Computing 22, 943-957, 2004.
- J.M. Gryn, Automated Surveillance Using Local Dominant Direction Templates, MSc Thesis, York University, May 2004 (Due to a bug in the Acrobat Web plugin where some figures do not load, please right click and "Save Target As," then open it locally)
- J.C. Martinez-Trujillo, J. Hopf, S. Treue, R.P. Wildes, E. Simine, H. Heinze and J.K. Tsotsos, A human cortical specialization for the processing of velocity gradients in moving stimuli, Presentation by J. Martinez-Trujillo at Vision Sciences Society, 2004
2003
- K.G. Derpanis, R.P. Wildes and J.K. Tsotsos, Vision-Based Gesture Recognition within a Linguistics-Based Framework, MSc Thesis, York University, 2003
- L. Wilcox, R.P. Wildes, L. Deepak, Depth ordering in natural stereoscopic images: The role of monocular occlusion, Poster presented by L. Wilcox at Vision Sciences Society, 2003.
2002
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