Mennatullah Siam

Orcid: 0000-0003-1854-3698

According to our database1, Mennatullah Siam authored at least 44 papers between 2013 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2025
Quantifying and Learning Static vs. Dynamic Information in Deep Spatiotemporal Networks.
IEEE Trans. Pattern Anal. Mach. Intell., January, 2025

2024
Generalized Few-Shot Semantic Segmentation in Remote Sensing: Challenge and Benchmark.
IEEE Geosci. Remote. Sens. Lett., 2024

The State of Computer Vision Research in Africa.
J. Artif. Intell. Res., 2024

Even the "Devil" has Rights!
CoRR, 2024

System Identification of Neural Systems: Going Beyond Images to Modelling Dynamics.
CoRR, 2024

A Survey on African Computer Vision Datasets, Topics and Researchers.
CoRR, 2024

Visual Prompting for Generalized Few-shot Segmentation: A Multi-scale Approach.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
M3T: Multi-Scale Memory Matching for Video Object Segmentation and Tracking.
CoRR, 2023

Two-stage Joint Transductive and Inductive learning for Nuclei Segmentation.
CoRR, 2023

Multiscale Memory Comparator Transformer for Few-Shot Video Segmentation.
CoRR, 2023

AI-Assisted Tool for Early Diagnosis and Prevention of Colorectal Cancer in Africa.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Towards a Better Understanding of the Computer Vision Research Community in Africa.
Proceedings of the 3rd ACM Conference on Equity and Access in Algorithms, 2023

MED-VT: Multiscale Encoder-Decoder Video Transformer with Application to Object Segmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Temporal Transductive Inference for Few-Shot Video Object Segmentation.
CoRR, 2022

A Deeper Dive Into What Deep Spatiotemporal Networks Encode: Quantifying Static vs. Dynamic Information.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Video Class Agnostic Segmentation with Contrastive Learning for Autonomous Driving.
CoRR, 2021

Monocular Instance Motion Segmentation for Autonomous Driving: KITTI InstanceMotSeg Dataset and Multi-Task Baseline.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2021

Video Class Agnostic Segmentation Benchmark for Autonomous Driving.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

2020
InstanceMotSeg: Real-time Instance Motion Segmentation for Autonomous Driving.
CoRR, 2020

Weakly Supervised Few-shot Object Segmentation using Co-Attention with Visual and Semantic Inputs.
CoRR, 2020

Weakly Supervised Few-shot Object Segmentation using Co-Attention with Visual and Semantic Embeddings.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

2019
One-Shot Weakly Supervised Video Object Segmentation.
CoRR, 2019

Adaptive Masked Weight Imprinting for Few-Shot Segmentation.
CoRR, 2019

Video Object Segmentation using Teacher-Student Adaptation in a Human Robot Interaction (HRI) Setting.
Proceedings of the International Conference on Robotics and Automation, 2019

Online Object and Task Learning via Human Robot Interaction.
Proceedings of the International Conference on Robotics and Automation, 2019

AMP: Adaptive Masked Proxies for Few-Shot Segmentation.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018
Video Segmentation using Teacher-Student Adaptation in a Human Robot Interaction (HRI) Setting.
CoRR, 2018

Online Tool and Task learning via Human Robot Interaction.
CoRR, 2018

ShuffleSeg: Real-time Semantic Segmentation Network.
CoRR, 2018

MODNet: Motion and Appearance based Moving Object Detection Network for Autonomous Driving.
Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018

Real-Time Segmentation with Appearance, Motion and Geometry.
Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

RTSeg: Real-Time Semantic Segmentation Comparative Study.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

A Comparative Study of Real-Time Semantic Segmentation for Autonomous Driving.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018

2017
MODNet: Moving Object Detection Network with Motion and Appearance for Autonomous Driving.
CoRR, 2017

4-DoF Tracking for Robot Fine Manipulation Tasks.
CoRR, 2017

Recurrent Fully Convolutional Networks for Video Segmentation.
Proceedings of the 2017 IEEE Winter Conference on Applications of Computer Vision, 2017

Unifying Registration Based Tracking: A Case Study with Structural Similarity.
Proceedings of the 2017 IEEE Winter Conference on Applications of Computer Vision, 2017

Convolutional gated recurrent networks for video semantic segmentation in automated driving.
Proceedings of the 20th IEEE International Conference on Intelligent Transportation Systems, 2017

Deep semantic segmentation for automated driving: Taxonomy, roadmap and challenges.
Proceedings of the 20th IEEE International Conference on Intelligent Transportation Systems, 2017

Convolutional gated recurrent networks for video segmentation.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

4-DoF Tracking for Robot Fine Manipulation Tasks.
Proceedings of the 14th Conference on Computer and Robot Vision, 2017

2016
Parking-stall vacancy indicator system, based on deep convolutional neural networks.
Proceedings of the 3rd IEEE World Forum on Internet of Things, 2016

2015
Comparative Evaluation of 3D Pose Estimation of Industrial Objects in RGB Pointclouds.
Proceedings of the Computer Vision Systems - 10th International Conference, 2015

2013
Enhanced Target Tracking in UAV Imagery with P-N Learning and Structural Constraints.
Proceedings of the 2013 IEEE International Conference on Computer Vision Workshops, 2013


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