Muhammad Monjurul Karim

Orcid: 0000-0002-7830-1407

According to our database1, Muhammad Monjurul Karim authored at least 13 papers between 2020 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
An Attention-Guided Multistream Feature Fusion Network for Early Localization of Risky Traffic Agents in Driving Videos.
IEEE Trans. Intell. Veh., January, 2024

2023
Fusion-GRU: A Deep Learning Model for Future Bounding Box Prediction of Traffic Agents in Risky Driving Videos.
CoRR, 2023

2022
A Dynamic Spatial-Temporal Attention Network for Early Anticipation of Traffic Accidents.
IEEE Trans. Intell. Transp. Syst., 2022

A Virtual-Reality-Based Training and Assessment System for Bridge Inspectors With an Assistant Drone.
IEEE Trans. Hum. Mach. Syst., 2022

An Attention-guided Multistream Feature Fusion Network for Localization of Risky Objects in Driving Videos.
CoRR, 2022

A Multitask Deep Learning Model for Parsing Bridge Elements and Segmenting Defect in Bridge Inspection Images.
CoRR, 2022

A Deep Neural Network for Multiclass Bridge Element Parsing in Inspection Image Analysis.
CoRR, 2022

2021
A semi-supervised self-training method to develop assistive intelligence for segmenting multiclass bridge elements from inspection videos.
CoRR, 2021

Crash Report Data Analysis for Creating Scenario-Wise, Spatio-Temporal Attention Guidance to Support Computer Vision-based Perception of Fatal Crash Risks.
CoRR, 2021

Who is Better at Anticipating Traffic Crashes, Human or Artificial Intelligence? A Gaze Data-based Exploratory Study.
CoRR, 2021

Towards explainable artificial intelligence (XAI) for early anticipation of traffic accidents.
CoRR, 2021

A system of vision sensor based deep neural networks for complex driving scene analysis in support of crash risk assessment and prevention.
CoRR, 2021

2020
SoS Meta-Architecture Selection for Infrastructure Inspection System Using Aerial Drones.
Proceedings of the 15th IEEE International Conference of System of Systems Engineering, 2020


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