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ORCIDMennatullah Siam
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2020 – today
- 2025
[j3]Matthew Kowal, Mennatullah Siam, Md. Amirul Islam, Neil D. B. Bruce, Richard P. Wildes, Konstantinos G. Derpanis:
Quantifying and Learning Static vs. Dynamic Information in Deep Spatiotemporal Networks. IEEE Trans. Pattern Anal. Mach. Intell. 47(1): 190-205 (2025)- 2024
- [j2]Abdul-Hakeem Omotayo
, Ashery Mbilinyi, Lukman Ismaila, Houcemeddine Turki, Mahmoud Abdien, Karim Gamal, Idriss Tondji, Yvan Pimi, Naome A. Etori, Marwa M. Matar, Clifford Broni-Bediako, Abigail Oppong, Mai Gamal, Eman Ehab, Gbètondji J.-S. Dovonon, Zainab Akinjobi, Daniel Ajisafe, Oluwabukola G. Adegboro, Mennatullah Siam:
The State of Computer Vision Research in Africa. J. Artif. Intell. Res. 81: 43-69 (2024) - [j1]Clifford Broni-Bediako, Junshi Xia, Jian Song, Hongruixuan Chen, Mennatullah Siam, Naoto Yokoya:
Generalized Few-Shot Semantic Segmentation in Remote Sensing: Challenge and Benchmark. IEEE Geosci. Remote. Sens. Lett. 21: 1-5 (2024) - [c24]Mir Rayat Imtiaz Hossain, Mennatullah Siam, Leonid Sigal, James J. Little:
Visual Prompting for Generalized Few-shot Segmentation: A Multi-scale Approach. CVPR 2024: 23470-23480 - [i29]Abdul-Hakeem Omotayo, Ashery Mbilinyi, Lukman Ismaila, Houcemeddine Turki, Mahmoud Abdien, Karim Gamal, Idriss Tondji, Yvan Pimi, Naome A. Etori, Marwa M. Matar, Clifford Broni-Bediako, Abigail Oppong, Mai Gamal, Eman Ehab, Gbètondji J.-S. Dovonon, Zainab Akinjobi, Daniel Ajisafe, Oluwabukola G. Adegboro, Mennatullah Siam:
A Survey on African Computer Vision Datasets, Topics and Researchers. CoRR abs/2401.11617 (2024) - [i28]Mai Gamal, Mohamed Rashad, Eman Ehab, Seif Eldawlatly, Mennatullah Siam:
System Identification of Neural Systems: Going Beyond Images to Modelling Dynamics. CoRR abs/2402.12519 (2024) - [i27]Mir Rayat Imtiaz Hossain, Mennatullah Siam, Leonid Sigal, James J. Little:
Visual Prompting for Generalized Few-shot Segmentation: A Multi-scale Approach. CoRR abs/2404.11732 (2024) - [i26]Clifford Broni-Bediako, Junshi Xia, Jian Song, Hongruixuan Chen, Mennatullah Siam, Naoto Yokoya:
Generalized Few-Shot Semantic Segmentation in Remote Sensing: Challenge and Benchmark. CoRR abs/2409.11227 (2024) - [i25]Mennatullah Siam:
Even the "Devil" has Rights! CoRR abs/2410.22963 (2024) - 2023
- [c23]Rezaul Karim, He Zhao, Richard P. Wildes, Mennatullah Siam:
MED-VT: Multiscale Encoder-Decoder Video Transformer with Application to Object Segmentation. CVPR 2023: 6323-6333 - [c22]Abdul-Hakeem Omotayo, Mai Gamal, Eman Ehab, Gbètondji J.-S. Dovonon, Zainab Akinjobi, Lukman Ismaila, Houcemeddine Turki, Mahmoud Abdien, Idriss Tondji, Abigail Oppong, Yvan Pimi, Karim Gamal, Mennatullah Siam:
Towards a Better Understanding of the Computer Vision Research Community in Africa. EAAMO 2023: 1:1-1:12 - [c21]Bushra Ibnauf, Mohammed Aboul Ezz, Ayman Abdel Aziz, Khalid Elgazzar, Mennatullah Siam:
AI-Assisted Tool for Early Diagnosis and Prevention of Colorectal Cancer in Africa. IJCAI 2023: 6362-6369 - [i24]Rezaul Karim, He Zhao, Richard P. Wildes, Mennatullah Siam:
MED-VT: Multiscale Encoder-Decoder Video Transformer with Application to Object Segmentation. CoRR abs/2304.05930 (2023) - [i23]Abdul-Hakeem Omotayo, Mai Gamal, Eman Ehab, Gbètondji J.-S. Dovonon, Zainab Akinjobi, Lukman Ismaila, Houcemeddine Turki, Mahmod Abdien, Idriss Tondji, Abigail Oppong, Yvan Pimi, Karim Gamal, Mennatullah Siam:
Towards a Better Understanding of the Computer Vision Research Community in Africa. CoRR abs/2305.06773 (2023) - [i22]Mennatullah Siam, Rezaul Karim, He Zhao, Richard Wildes:
Multiscale Memory Comparator Transformer for Few-Shot Video Segmentation. CoRR abs/2307.07812 (2023) - [i21]Hesham Ali, Idriss Tondji, Mennatullah Siam:
Two-stage Joint Transductive and Inductive learning for Nuclei Segmentation. CoRR abs/2311.08774 (2023) - [i20]Raghav Goyal, Wan-Cyuan Fan, Mennatullah Siam, Leonid Sigal:
M3T: Multi-Scale Memory Matching for Video Object Segmentation and Tracking. CoRR abs/2312.08514 (2023) - 2022
- [c20]Matthew Kowal, Mennatullah Siam, Md. Amirul Islam, Neil D. B. Bruce, Richard P. Wildes, Konstantinos G. Derpanis:
A Deeper Dive Into What Deep Spatiotemporal Networks Encode: Quantifying Static vs. Dynamic Information. CVPR 2022: 13979-13989 - [i19]Mennatullah Siam, Konstantinos G. Derpanis, Richard P. Wildes:
Temporal Transductive Inference for Few-Shot Video Object Segmentation. CoRR abs/2203.14308 (2022) - [i18]Matthew Kowal, Mennatullah Siam, Md. Amirul Islam, Neil D. B. Bruce, Richard P. Wildes, Konstantinos G. Derpanis:
A Deeper Dive Into What Deep Spatiotemporal Networks Encode: Quantifying Static vs. Dynamic Information. CoRR abs/2206.02846 (2022) - [i17]Matthew Kowal, Mennatullah Siam, Md. Amirul Islam, Neil D. B. Bruce, Richard P. Wildes, Konstantinos G. Derpanis:
Quantifying and Learning Static vs. Dynamic Information in Deep Spatiotemporal Networks. CoRR abs/2211.01783 (2022) - 2021
- [c19]Mennatullah Siam, Alex Kendall, Martin Jägersand:
Video Class Agnostic Segmentation Benchmark for Autonomous Driving. CVPR Workshops 2021: 2825-2834 - [c18]Eslam Mohamed, Mahmoud Ewaisha, Mennatullah Siam, Hazem Rashed, Senthil Kumar Yogamani, Waleed Hamdy, Mohamed El-Dakdouky, Ahmad El Sallab:
Monocular Instance Motion Segmentation for Autonomous Driving: KITTI InstanceMotSeg Dataset and Multi-Task Baseline. IV 2021: 114-121 - [i16]Mennatullah Siam, Alex Kendall, Martin Jägersand:
Video Class Agnostic Segmentation Benchmark for Autonomous Driving. CoRR abs/2103.11015 (2021) - [i15]Mennatullah Siam, Alex Kendall, Martin Jägersand:
Video Class Agnostic Segmentation with Contrastive Learning for Autonomous Driving. CoRR abs/2105.03533 (2021) - 2020
- [c17]Mennatullah Siam, Naren Doraiswamy, Boris N. Oreshkin, Hengshuai Yao, Martin Jägersand:
Weakly Supervised Few-shot Object Segmentation using Co-Attention with Visual and Semantic Embeddings. IJCAI 2020: 860-867 - [i14]Mennatullah Siam, Naren Doraiswamy, Boris N. Oreshkin, Hengshuai Yao, Martin Jägersand:
Weakly Supervised Few-shot Object Segmentation using Co-Attention with Visual and Semantic Inputs. CoRR abs/2001.09540 (2020) - [i13]Eslam Mohamed, Mahmoud Ewaisha, Mennatullah Siam, Hazem Rashed, Senthil Kumar Yogamani, Ahmad El Sallab:
InstanceMotSeg: Real-time Instance Motion Segmentation for Autonomous Driving. CoRR abs/2008.07008 (2020)
2010 – 2019
- 2019
- [c16]Mennatullah Siam, Boris N. Oreshkin, Martin Jägersand:
AMP: Adaptive Masked Proxies for Few-Shot Segmentation. ICCV 2019: 5248-5257 - [c15]Mennatullah Siam, Chen Jiang, Steven Weikai Lu, Laura Petrich, Mahmoud Gamal, Mohamed Elhoseiny, Martin Jägersand:
Video Object Segmentation using Teacher-Student Adaptation in a Human Robot Interaction (HRI) Setting. ICRA 2019: 50-56 - [c14]Masood Dehghan, Zichen Zhang, Mennatullah Siam, Jun Jin, Laura Petrich, Martin Jägersand:
Online Object and Task Learning via Human Robot Interaction. ICRA 2019: 2132-2138 - [i12]Mennatullah Siam, Boris N. Oreshkin:
Adaptive Masked Weight Imprinting for Few-Shot Segmentation. CoRR abs/1902.11123 (2019) - [i11]Mennatullah Siam, Naren Doraiswamy, Boris N. Oreshkin, Hengshuai Yao, Martin Jägersand:
One-Shot Weakly Supervised Video Object Segmentation. CoRR abs/1912.08936 (2019) - 2018
- [c13]Mennatullah Siam, Mostafa Gamal, Moemen Abdel-Razek, Senthil Kumar Yogamani, Martin Jägersand, Hong Zhang:
A Comparative Study of Real-Time Semantic Segmentation for Autonomous Driving. CVPR Workshops 2018: 587-597 - [c12]Mennatullah Siam, Mostafa Gamal, Moemen Abdel-Razek, Senthil Kumar Yogamani, Martin Jägersand:
RTSeg: Real-Time Semantic Segmentation Comparative Study. ICIP 2018: 1603-1607 - [c11]Mennatullah Siam, Sara Elkerdawy, Mostafa Gamal, Moemen Abdel-Razek, Martin Jägersand, Hong Zhang:
Real-Time Segmentation with Appearance, Motion and Geometry. IROS 2018: 5793-5800 - [c10]Mennatullah Siam, Heba Mahgoub, Mohamed Zahran, Senthil Kumar Yogamani, Martin Jägersand, Ahmad El Sallab:
MODNet: Motion and Appearance based Moving Object Detection Network for Autonomous Driving. ITSC 2018: 2859-2864 - [i10]Mennatullah Siam, Mostafa Gamal, Moemen Abdel-Razek, Senthil Kumar Yogamani, Martin Jägersand:
RTSeg: Real-time Semantic Segmentation Comparative Study. CoRR abs/1803.02758 (2018) - [i9]Mostafa Gamal, Mennatullah Siam, Moemen Abdel-Razek:
ShuffleSeg: Real-time Semantic Segmentation Network. CoRR abs/1803.03816 (2018) - [i8]Masood Dehghan, Zichen Zhang, Mennatullah Siam, Jun Jin, Laura Petrich, Martin Jägersand:
Online Tool and Task learning via Human Robot Interaction. CoRR abs/1809.08722 (2018) - [i7]Mennatullah Siam, Chen Jiang, Steven Weikai Lu, Laura Petrich, Mahmoud Gamal, Mohamed Elhoseiny, Martin Jägersand:
Video Segmentation using Teacher-Student Adaptation in a Human Robot Interaction (HRI) Setting. CoRR abs/1810.07733 (2018) - 2017
- [c9]Mennatullah Siam, Abhineet Singh, Camilo Perez, Martin Jägersand:
4-DoF Tracking for Robot Fine Manipulation Tasks. CRV 2017: 329-336 - [c8]Mennatullah Siam, Sepehr Valipour, Martin Jägersand, Nilanjan Ray:
Convolutional gated recurrent networks for video segmentation. ICIP 2017: 3090-3094 - [c7]Mennatullah Siam, Sara Elkerdawy, Martin Jägersand, Senthil Kumar Yogamani:
Deep semantic segmentation for automated driving: Taxonomy, roadmap and challenges. ITSC 2017: 1-8 - [c6]Mennatullah Siam, Sepehr Valipour, Martin Jägersand, Nilanjan Ray, Senthil Kumar Yogamani:
Convolutional gated recurrent networks for video semantic segmentation in automated driving. ITSC 2017: 1-7 - [c5]Sepehr Valipour, Mennatullah Siam, Martin Jägersand, Nilanjan Ray:
Recurrent Fully Convolutional Networks for Video Segmentation. WACV 2017: 29-36 - [c4]Abhineet Singh, Mennatullah Siam, Martin Jägersand:
Unifying Registration Based Tracking: A Case Study with Structural Similarity. WACV 2017: 100-110 - [i6]Mennatullah Siam, Abhineet Singh, Camilo Perez Quintero, Martin Jägersand:
4-DoF Tracking for Robot Fine Manipulation Tasks. CoRR abs/1703.01698 (2017) - [i5]Mennatullah Siam, Sara Elkerdawy, Martin Jägersand, Senthil Kumar Yogamani:
Deep Semantic Segmentation for Automated Driving: Taxonomy, Roadmap and Challenges. CoRR abs/1707.02432 (2017) - [i4]Mennatullah Siam, Heba Mahgoub, Mohamed Zahran, Senthil Kumar Yogamani, Martin Jägersand, Ahmad El Sallab:
MODNet: Moving Object Detection Network with Motion and Appearance for Autonomous Driving. CoRR abs/1709.04821 (2017) - 2016
- [c3]Sepehr Valipour, Mennatullah Siam, Eleni Stroulia, Martin Jägersand:
Parking-stall vacancy indicator system, based on deep convolutional neural networks. WF-IoT 2016: 655-660 - [i3]Sepehr Valipour, Mennatullah Siam, Martin Jägersand, Nilanjan Ray:
Recurrent Fully Convolutional Networks for Video Segmentation. CoRR abs/1606.00487 (2016) - [i2]Sepehr Valipour, Mennatullah Siam, Eleni Stroulia, Martin Jägersand:
Parking Stall Vacancy Indicator System Based on Deep Convolutional Neural Networks. CoRR abs/1606.09367 (2016) - [i1]Mennatullah Siam, Sepehr Valipour, Martin Jägersand, Nilanjan Ray:
Convolutional Gated Recurrent Networks for Video Segmentation. CoRR abs/1611.05435 (2016) - 2015
- [c2]Bjarne Großmann, Mennatullah Siam, Volker Krüger:
Comparative Evaluation of 3D Pose Estimation of Industrial Objects in RGB Pointclouds. ICVS 2015: 329-342 - 2013
- [c1]Mennatullah Siam, Mohamed ElHelw:
Enhanced Target Tracking in UAV Imagery with P-N Learning and Structural Constraints. ICCV Workshops 2013: 586-593
Coauthor Index
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