| Amp: Adaptive masked proxies for few-shot segmentation M Siam, BN Oreshkin, M Jagersand Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 236 | 2019 |
| Deep Semantic Segmentation for Automated Driving: Taxonomy, Roadmap and Challenges M Siam, S Elkerdawy, M Jagersand, S Yogamani International Conference on Intelligent Transportation Systems (ITSC), 2017 | 221 | 2017 |
| A comparative study of real-time semantic segmentation for autonomous driving M Siam, M Gamal, M Abdel-Razek, S Yogamani, M Jagersand, H Zhang Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 193 | 2018 |
| Modnet: Motion and appearance based moving object detection network for autonomous driving M Siam, H Mahgoub, M Zahran, S Yogamani, M Jagersand, A El-Sallab 2018 21st International Conference on Intelligent Transportation Systems …, 2018 | 163* | 2018 |
| Rtseg: Real-time semantic segmentation comparative study M Siam, M Gamal, M Abdel-Razek, S Yogamani, M Jagersand 2018 25th IEEE International Conference on Image Processing (ICIP), 1603-1607, 2018 | 145 | 2018 |
| Convolutional gated recurrent networks for video segmentation M Siam, S Valipour, M Jagersand, N Ray 2017 IEEE international conference on image processing (ICIP), 3090-3094, 2017 | 140 | 2017 |
| Video Segmentation using Teacher-Student Adaptation in a Human Robot Interaction (HRI) Setting M Siam, C Jiang, S Lu, L Petrich, M Gamal, M Elhoseiny, M Jagersand 2019 International Conference on Robotics and Automation (ICRA), 2019 | 106 | 2019 |
| Recurrent Fully Convolutional Networks for Video Segmentation S Valipour*, M Siam*, M Jagersand, N Ray Applications of Computer Vision (WACV), 2017 IEEE Winter Conference on, 29-36, 2017 | 105 | 2017 |
| Parking-stall vacancy indicator system, based on deep convolutional neural networks S Valipour, M Siam, E Stroulia, M Jagersand 2016 IEEE 3rd World Forum on Internet of Things (WF-IoT), 655-660, 2016 | 100 | 2016 |
| Weakly supervised few-shot object segmentation using co-attention with visual and semantic embeddings M Siam, N Doraiswamy, BN Oreshkin, H Yao, M Jagersand Proceedings of the Twenty-Ninth International Joint Conference on Artificial …, 2020 | 63 | 2020 |
| Shuffleseg: Real-time semantic segmentation network M Gamal, M Siam, M Abdel-Razek arXiv preprint arXiv:1803.03816, 2018 | 53 | 2018 |
| On-board multiple target detection and tracking on camera-equipped aerial vehicles M Siam, R ElSayed, M ElHelw 2012 IEEE International Conference on Robotics and Biomimetics (ROBIO), 2399 …, 2012 | 51 | 2012 |
| Monocular instance motion segmentation for autonomous driving: Kitti instancemotseg dataset and multi-task baseline E Mohamed, M Ewaisha, M Siam, H Rashed, S Yogamani, W Hamdy, ... 2021 IEEE Intelligent Vehicles Symposium (IV), 114-121, 2021 | 39* | 2021 |
| Online object and task learning via human robot interaction M Dehghan, Z Zhang, M Siam, J Jin, L Petrich, M Jagersand 2019 international conference on robotics and automation (ICRA), 2132-2138, 2019 | 37* | 2019 |
| MED-VT: Multiscale encoder-decoder video transformer with application to object segmentation R Karim, H Zhao, RP Wildes, M Siam Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 19 | 2023 |
| Real-time segmentation with appearance, motion and geometry M Siam, S Eikerdawy, M Gamal, M Abdel-Razek, M Jagersand, H Zhang 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2018 | 18 | 2018 |
| Video Class Agnostic Segmentation Benchmark for Autonomous Driving M Siam, A Kendall, M Jagersand Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 16 | 2021 |
| A deeper dive into what deep spatiotemporal networks encode: Quantifying static vs. dynamic information M Kowal, M Siam, MA Islam, NDB Bruce, RP Wildes, KG Derpanis Proceedings of the IEEE/CVF Conference on computer vision and pattern …, 2022 | 15 | 2022 |
| Enhanced target tracking in uav imagery with pn learning and structural constraints M Siam, M Elhelw Proceedings of the IEEE International Conference on Computer Vision …, 2013 | 15 | 2013 |
| Comparative evaluation of 3d pose estimation of industrial objects in rgb pointclouds B Großmann, M Siam, V Krüger Computer Vision Systems: 10th International Conference, ICVS 2015 …, 2015 | 11 | 2015 |
Martin JagersandUniversity of AlbertaVerified email at cs.ualberta.ca
