| Looking beyond the image: Unsupervised learning for object saliency and detection P Siva, C Russell, T Xiang, L Agapito Proceedings of the IEEE conference on computer vision and pattern …, 2013 | 200 | 2013 |
| Weakly supervised object detector learning with model drift detection P Siva, T Xiang 2011 International Conference on Computer Vision, 343-350, 2011 | 177 | 2011 |
| In defence of negative mining for annotating weakly labelled data P Siva, C Russell, T Xiang Computer Vision–ECCV 2012: 12th European Conference on Computer Vision …, 2012 | 160 | 2012 |
| Transfer learning by ranking for weakly supervised object annotation Z Shi, P Siva, T Xiang arXiv preprint arXiv:1705.00873, 2017 | 74 | 2017 |
| Hyperspectral image classification with limited labeled training samples using enhanced ensemble learning and conditional random fields F Li, L Xu, P Siva, A Wong, DA Clausi IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2015 | 65 | 2015 |
| Weakly Supervised Action Detection. P Siva, T Xiang BMVC 2 (4), 6, 2011 | 58 | 2011 |
| Fluorescence microscopy image noise reduction using a stochastically-connected random field model SA Haider, A Cameron, P Siva, D Lui, MJ Shafiee, A Boroomand, ... Scientific reports 6 (1), 20640, 2016 | 55 | 2016 |
| Action detection in crowd. P Siva, T Xiang BMVC, 1-11, 2010 | 43 | 2010 |
| Stochasticnet: Forming deep neural networks via stochastic connectivity MJ Shafiee, P Siva, A Wong IEEE Access 4, 1915-1924, 2016 | 36 | 2016 |
| Pose guided gated fusion for person re-identification A Bhuiyan, Y Liu, P Siva, M Javan, IB Ayed, E Granger Proceedings of the IEEE/CVF winter conference on applications of computer …, 2020 | 32 | 2020 |
| Efficient bayesian inference using fully connected conditional random fields with stochastic cliques MJ Shafiee, A Wong, P Siva, P Fieguth 2014 IEEE International Conference on Image Processing (ICIP), 4289-4293, 2014 | 30 | 2014 |
| Unsupervised domain adaptation in person re-id via k-reciprocal clustering and large-scale heterogeneous environment synthesis D Kumar, P Siva, P Marchwica, A Wong proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2020 | 24 | 2020 |
| Embedded motion detection via neural response mixture background modeling MJ Shafiee, P Siva, P Fieguth, A Wong 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops …, 2016 | 24 | 2016 |
| Fairest of them all: Establishing a strong baseline for cross-domain person reid D Kumar, P Siva, P Marchwica, A Wong arXiv preprint arXiv:1907.12016, 2019 | 20 | 2019 |
| Real-time embedded motion detection via neural response mixture modeling MJ Shafiee, P Siva, P Fieguth, A Wong Journal of Signal Processing Systems 90, 931-946, 2018 | 17 | 2018 |
| Self-supervised shape alignment for sports field registration F Shi, P Marchwica, JCG Higuera, M Jamieson, M Javan, P Siva Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2022 | 14 | 2022 |
| Scene invariant crowd segmentation and counting using scale-normalized histogram of moving gradients (homg) P Siva, MJ Shafiee, M Jamieson, A Wong arXiv preprint arXiv:1602.00386, 2016 | 14 | 2016 |
| Grid seams: A fast superpixel algorithm for real-time applications P Siva, A Wong 2014 Canadian Conference on Computer and Robot Vision, 127-134, 2014 | 14 | 2014 |
| Real-time, embedded scene invariant crowd counting using scale-normalized histogram of moving gradients (HoMG) P Siva, M Javad Shafiee, M Jamieson, A Wong Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016 | 12 | 2016 |
| Pirm: Fast background subtraction under sudden, local illumination changes via probabilistic illumination range modelling P Siva, MJ Shafiee, F Li, A Wong 2015 IEEE International Conference on Image Processing (ICIP), 789-792, 2015 | 10 | 2015 |
Alexander WongCanada Research Chair, FIET FInstP FRSPH FGS FRSA FISDDE, Systems Design Eng, University of Waterloo在 uwaterloo.ca 的电子邮件经过验证
