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Mennatullah Siam
Mennatullah Siam
Ontario Tech University
E-mail confirmado em ontariotechu.ca - Página inicial
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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
2192019
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
2142017
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
1792018
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
155*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
1412018
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
1332017
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
1022017
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
982019
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
972016
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
542020
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
512012
Shuffleseg: Real-time semantic segmentation network
M Gamal, M Siam, M Abdel-Razek
arXiv preprint arXiv:1803.03816, 2018
502018
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
38*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
35*2019
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
182018
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
152013
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
142022
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
132021
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
122023
Comparative evaluation of 3d pose estimation of industrial objects in rgb pointclouds
B Großmann, M Siam, V Krüger
International Conference on Computer Vision Systems, 329-342, 2015
112015
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